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GenXM

GenXM is the world wide mobile division of HyTechPro. It is a one stop shop for all mobile app design, development and porting requirements. With great expertise of Titanium framework it does Cross-Platform app development for iOS and Android. It develops apps for all major mobile platforms and also for iPad and Android-based Tablets. GenXM follows an industry leading app development methodology that guarantees quick time to market and time to profitability. GenXM creates most quality, intuitive and innovative applications best suited to any business. The expert developers and programmers at GenXM work very closely with the client and maintain project transparency. Every solution is developed after thorough understanding of the clients’ requirements with maximum cost-efficiency.

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Best IDE Testing Platforms for Secure Systems in 2024

Article | March 1, 2024

Learn about the latest trends and future advancements of secure software development with the best IDE testing platforms. Stay abreast for real-time threat detection and automated compliance tools. Contents 1. Introduction 2. Comparative Analysis of IDE Testing Platforms 2.1. Security Features 2.2. Performance and Usability 2.3. Integration Capabilities 2.4. Cost and Licensing 3. Best Practices for Choosing an IDE Testing Platform 3.1. Criteria for Selection 3.2. Evaluating Vendor Support and Community Engagement 3.3. Long-Term Maintenance and Updates 4. Top Tools in IDE in 2024 4.1. Applause 4.2. Lightrun 4.3. Codota 4.4. RAD Studio 4.5. KDevelop 8 4.6. SQLConnect by SplashBI 4.7. Qt 4.8. dbForge Studio for SQL Server 4.9. Wolfram Workbench 4.10. Lens 5. Summing Up 1. Introduction to IDE Testing Platforms In 2024, the demand for robust Integrated Development Environment (IDE) testing platforms has intensified as organizations strive to ensure the security and efficiency of their software systems. To evaluate the best IDE testing platforms, focusing on security features, performance, integration capabilities, and cost are crucial. Excelling in the insights and the best practices for selecting an IDE aligns with specific development needs and long-term goals. 2. Comparative Analysis of IDE Testing Platforms The integrity and security of software applications are crucially dependent on the IDE testing platform that is chosen in the field of secure systems development. To comprehend the advantages and disadvantages of different IDE testing platforms, a detailed comparison study is necessary. In order to help make an informed choice, a number of important factors, including pricing and license models, performance and usability, integration capabilities, security features, and performance should be taken into consideration. 2.1. Security Features When evaluating IDE testing platforms for secure systems, the foremost consideration is their security and privacy features. A robust IDE software should offer advanced security-focused code analysis, incorporating static and dynamic analysis tools that can detect vulnerabilities early in the development cycle. It should support secure coding practices through built-in libraries and frameworks designed to prevent common security issues such as SQL injection, cross-site scripting (XSS), and buffer overflows. Additionally, the IDE must integrate seamlessly with external security tools and platforms, offering real-time vulnerability detection and continuous security auditing capabilities. 2.2. Performance and Usability Performance and usability are critical factors that influence the efficiency and effectiveness of the development process. An ideal IDE should offer a responsive and intuitive user interface that facilitates quick navigation and code management. It should also provide features like intelligent code completion, real-time syntax highlighting, and robust debugging tools. Performance benchmarking should include the IDE's ability to handle large codebases, its startup time, and the efficiency of its integrated tools. 2.3. Integration Capabilities Integration capabilities are vital for maintaining a streamlined and cohesive development environment. The IDE should support integration with version control systems like Git, CI/CD pipelines, and various third-party tools and services. This integration ensures developers can automate testing, deployment, and IDEs with security testing capabilities within the same environment. 2.4. Cost and Licensing Cost and licensing models can significantly impact the overall budget and accessibility of the IDE. While some IDEs are open source and free to use, others require licensing fees that can vary based on the number of users and features required. It is crucial to evaluate the total cost of ownership, including any additional costs for plugins, support, and updates. 3. Best Practices for Choosing an IDE Testing Platform Selecting the appropriate IDE platform for security is a crucial choice that can have a big impact on a software development project's efficiency and overall success. The development team's specific needs and objectives will be met by the selected platform if best practices are followed during this selection process. 3.1. Criteria for Selection Selecting the right IDE testing platform requires a thorough understanding of specific development needs and security requirements. Critical criteria include the platform's ability to provide comprehensive security analysis, ease of use, performance under load, and compatibility with existing tools and workflows. Consider the platform's scalability and whether it can support the growth and evolving project needs. 3.2. Evaluating Vendor Support and Community Engagement Vendor support and community engagement are essential factors that can influence the long-term viability of an IDE. Robust vendor support ensures that issues can be resolved quickly and effectively, minimizing downtime and productivity loss. Additionally, a strong community presence can provide valuable resources, including plugins, tutorials, and forums for troubleshooting. 3.3. Long-Term Maintenance and Updates Long-term maintenance and updates are crucial for ensuring that IDE remains secure and up-to-date with the latest technologies and standards. Evaluate the vendor's track record for releasing regular updates and patches. An ideal IDE should have a clear roadmap for future development, ensuring continuous improvement and adaptation to new security threats and development methodologies. Consider the frequency and quality of updates and the vendor's commitment to promptly addressing security vulnerabilities. 4. Top Tools in IDE in 2024 Below mentioned are the top IDEs for businesses stating their usage, followed by a dashboard image and salient features for each. 4.1. Applause Applause pioneers a comprehensive approach to digital quality and testing, providing global brands with the tools they need to deliver flawless digital experiences. Leveraging a community of over one million vetted digital experts worldwide, Applause offers real-world feedback through its unique platform, enabling rapid, flexible, and large-scale testing solutions that are crucial for brands operating in digital spaces. • Real-world feedback: Collect authentic user experiences in real-world settings to enhance digital asset quality. • Speed and flexibility: Tailored to meet the demands of fast-paced, digital-first brands, enabling quicker go/no-go release decisions. • Comprehensive testing solutions: Offers both manual and automated testing across all digital platforms and devices. • Integrated functional testing: Unique service combining manual and automated testing for thorough coverage and efficient validation. • Specialized testing solutions: Extensive range of services, including optimized user experience, accessibility, payment, and AI training & testing. • Enterprise-class platform: Designed for security, scalability, and interoperability to support large-scale enterprise needs. 4.2. Lightrun Lightrun revolutionizes CI pipeline debugging by providing real-time, IDE-integrated tools that enhance visibility and debugging capabilities without the need to halt CI jobs or directly connect to build agents. This innovative platform supports debugging across all stages of CI jobs, including integration tests and test logistics, significantly speeding up the troubleshooting process within any CI environment. • Real-time debugging: Debug CI jobs live without stopping them, directly from the IDE. • Independence from Build Agents: Eliminate the need to connect directly to build agents for debugging tasks. • Comprehensive test support: Debug integration tests, setup, cleanup, and identify issues in broken tests efficiently. • Lightrun actions: Add logs, metrics, and traces dynamically to CI jobs without re-triggering pipelines. • Cross-platform compatibility: Compatible with any CI platform, enhancing flexibility in CI/CD processes. • Security and performance: Actions are safe, read-only, and designed to not compromise pipeline performance. • IDE integration: Output from Lightrun Actions can be routed directly to the developer's IDE for easy access and action. • Enhanced observability: Provides a deep understanding of CI processes, improving decision-making and troubleshooting speed. 4.3. Codota Codota, a product by Tabnine is an AI-powered code assistant designed to accelerate and streamline software development while ensuring privacy, security, and compliance. As a pioneer in the AI code assistant category, Tabnine enhances coding efficiency by providing personalized code completions and automating repetitive tasks across various integrated development environments. • AI code generation: Autogenerates high-quality code snippets, lines, or functions as developer’s type, adapting to the user's coding style in real-time. • Natural language to code: Converts plain text comments or prompts into functional code, simplifying the transition from design to development. • Boilerplate code automation: Reduces the need for manual coding of common patterns and templates through advanced autofill capabilities. • IDE integration: Compatible with multiple IDEs, allowing seamless integration into developers' existing workflows. • Customized recommendations: Utilizes a combination of a custom-developed Large Language Model (LLM) and project-specific context to provide highly personalized coding recommendations. • Privacy and security: Maintains strict protocols to keep user code private and secure, adhering to comprehensive privacy policies and compliance standards. 4.4. RAD Studio Embarcadero provides elite software development tool, RAD Studio, tailored for professionals tasked with creating and maintaining high-stakes enterprise applications. Established in 1993 and headquartered in Austin, Embarcadero is renowned for supporting developers in building secure and scalable applications swiftly. The platform is trusted by ninety Fortune 100 companies and boasts a vibrant community of over 3 million users worldwide. • Trusted by industry leaders: Relied upon by 90 of the Fortune 100 companies. • Long-standing industry experience: Providing development tools for over 30 years. • Multi-platform compatibility: Tools for developing apps across Windows, Android, iOS, macOS, and Linux from a single codebase. • Continuous Innovation: Regular updates, such as the latest RAD Studio 12.1. • Educational and community support: Active engagement with educational webinars, whitepapers, and a robust MVP program. • Comprehensive learning resources: Access to a wealth of tutorials, case studies, and expert content through blogs and events. 4.5. KDevelop KDE is a prominent international community dedicated to developing free and open-source software for desktop and portable computing environments. Being among the best IDE testing platforms, its software portfolio includes an advanced desktop system for Linux and UNIX systems, a suite of office productivity tools, and a variety of applications across web, multimedia, education, graphics, and software development sectors. KDE's software, notable for its translation into over 60 languages and accessible design, runs natively across Linux, BSD, Solaris, Windows, and macOS platforms. • Multilingual and accessible: Translated into more than 60 languages and designed with modern accessibility standards. • Comprehensive software suite: Includes desktop systems, office productivity tools, and applications for web, multimedia, entertainment, education, and software development. • Open source: All KDE software is free to use and modify under open source licenses, encouraging innovation and community collaboration. • KDevelop IDE: A feature-rich integrated development environment supporting multiple languages including C, C++, Python, QML/JavaScript, and PHP, with excellent code comprehension and multi-project support. • Extensive documentation and plugins: Integrates with various documentation sources and supports numerous plugins for enhanced functionality, such as Git integration and additional language support. 4.6. SQLConnect by SplashBI SplashBI, headquartered in Atlanta, US, is a leading provider of enterprise analytics solutions, delivering a wide array of pre-configured reporting and analytics tools across various departments, including HR, Sales & Marketing, Finance, and more. Compatible with diverse systems like Oracle, UKG, and Workday, SplashBI offers seamless integration and real-time data access, facilitating informed decision-making through comprehensive reports and visualizations. • Real-time data access: Provides immediate data retrieval capabilities to ensure up-to-date information for decision-making. • Mobile and cloud accessibility: Ensures easy access through cloud-based solutions and mobile devices, enhancing flexibility and on-the-go data management. • Pre-configured solutions: Includes ready-to-use tools for people analytics, sales and marketing analytics, and oracle reporting among others. • Advanced data pipeline: Facilitates efficient data blending and management to support complex reporting needs. 4.7. Qt Qt Creator being one among the best IDE testing platforms stands out as a sophisticated, AI-enabled Integrated Development Environment designed to boost developer productivity across desktop, mobile, and embedded platforms. With support for multiple programming languages, including C++, QML, JavaScript, Python, and more, Qt Creator facilitates efficient software development with features like advanced code editing, project and build management, and version control integration. • Project and build management: Supports importing existing projects or creating new ones with full support for CMake and qmake. • Multi-target support: Allows developers to build and run applications on various platforms including desktop, mobile, and embedded systems. • Qt device emulator: Enables testing and debugging of applications under conditions that mimic target devices. • Qt quick compiler: Compiles source code into native machine code, enhancing UI performance and safeguarding intellectual property. • GitHub copilot integration: Enhances coding efficiency by providing AI-driven code completions and documentation, which can accelerate coding tasks by up to 55%. • Comprehensive development tools: Includes a performance analyzer, integrated testing and debugging tools, and extensive support for building and compiling across, different platforms. • Internationalization and localization: Facilitates the creation of multi-language and region-specific applications without the need for extensive changes. • Learning and support resources: Offers extensive documentation, tutorials, and professional support to help developers maximize their use of the platform. 4.8. dbForge Studio for SQL Server dbForge Studio for SQL Server by Devart is an essential toolkit for software developers working in Visual Studio, designed to enhance code quality and streamline the review process. This bundle combines Code Compare and Review Assistant to offer a comprehensive solution for examining, comparing, and reviewing source code efficiently. The integration of these tools facilitates a more intuitive and collaborative coding environment, which is especially beneficial for teams handling complex projects. • Seamless visual studio integration: This plugin works with Visual Studio versions from 2015 to 2022, enhancing the native IDE with powerful review capabilities. • Enhanced review features: Review assistant supports simple and strict workflows, allows multiple authors per review, and integrates moderator roles for thorough inspections. • Code discussion tools: Facilitate discussions directly in the code with threaded comments, highlighting specific lines or blocks and flagging comments as defects. • Iterative review and defect fixing: This tool supports multiple fix-verify cycles in one review, color-coded defect statuses, and seamless transitions between revisions for fixing reported issues. • Semantic source code comparison: This tool offers structure and lexical comparison for major programming languages, enhancing the ability to detect refactored code blocks and other significant changes. • Three-way comparison and automatic merging: Efficiently handles merge conflicts and integrates changes from different branches with minimal manual intervention. • Economical pricing: Purchasing the bundle offers significant savings, making it a cost-effective solution for teams looking to improve their code review processes. 4.9. Wolfram Workbench Wolfram provides a comprehensive computational intelligence platform for software developers, enabling the rapid development and deployment of applications across various platforms. Known for its powerful Wolfram Language, the platform integrates vast amounts of built-in functionality and data, allowing developers to focus on high-level goals rather than the intricacies of implementation. This robust environment supports the creation of next-generation projects that leverage computational intelligence in innovative ways. • Universal deployment: Developers can write code once and deploy it seamlessly across multiple platforms through the Wolfram Universal Deployment System. • High-efficiency programming: The Wolfram Language enhances programming efficiency and capabilities, making previously impractical tasks achievable. • Rich development environment: Includes the Wolfram Notebook Environment and Wolfram Workbench, which offer sophisticated code development and project management tools. • Extensive integration and extensibility: Supports, various add-ons and plugins for other IDEs and editors, enhancing adaptability. • Comprehensive learning and support resources: This site offers extensive documentation, online courses, and community support to aid developers in their projects. • Innovative deployment options: This option facilitates the deployment of standalone scripts, cloud-deployed APIs, and client libraries across various languages and platforms. 4.10. Lens Lens, one of the best IDE testing platforms is a product of Mirantis Kubernetes Engine container orchestration, providing a secure and scalable platform for implementing containerization across diverse environments. With options for using Kubernetes, it offers flexibility alongside rapid deployment capabilities, ensuring enterprises can launch modern applications efficiently. The engine is fortified with DISA STIG and FIPS 140-2 encryption for enhanced security, making it a trusted choice for mission-critical applications. • Flexible deployment: Operates on bare metal and private or public clouds, offering support for a wide range of Linux distributions, thereby enhancing, deployment flexibility. • Rapid deployment: Features like out-of-the-box Calico for Kubernetes networking and NGINX for Ingress support reduce time-to-value. • Open source foundation: Utilizes open source technologies to keep costs low and control the tech stack. • Comprehensive access controls: Integrated role-based access control (RBAC) and identity management systems ensure secure and authorized access. 5. Summing Up Choosing the right IDE testing platform is very important for business today in order to maintain secure and efficient software development processes. By comparing key features such as security, performance, integration, and cost and following best practices for selection, organizations must ensure that they are equipped with the most effective tools for their needs. Keeping up with new developments in IDE capabilities and developing trends will be crucial to remaining forward in the developer space as technology advances. Future developments in AI, machine learning, data and automation are expected to enhance security and efficiency further, making it imperative for developers to adapt and upgrade their tools continually. IDEs will likely expand support for multi-language interoperability and cross-platform development to cater to increasingly diverse project needs. Enhanced customization, along with stronger integrations with DevOps and CI/CD pipelines, will improve development workflows. Additionally, future IDEs will emphasize accessibility and inclusivity, better code analysis tools, and adaptability to emerging technologies like quantum computing, ensuring they remain essential tools in software development.

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API Management, IDE

Best Advanced Application Development Tools in 2024

Article | June 28, 2024

Learn the secrets of advanced application development tools usage with this toolkit. Get to know more on top tools, expert insights, and future trends to elevate software engineering skills. Contents 1. Introduction to Advanced Application Development 2. Planning and Design 3. Top 10 Tools for Advanced Application Development 3.1. Netcall Liberty Create 3.2. AgilePoint NX 3.3. Ionic 3.4. Rocket Uniface 3.5. 4D 3.6. Knack 3.7. Qt 3.8. Kony Quantum 3.9. Betty Blocks 3.10. Alpha Anywhere 4. Final Thoughts 1. Introduction to Advanced Application Development Advanced application development explores the complexities of crafting high-performance and sophisticated software solutions that surpass basic standards. It goes beyond simple programming, diving into complex concepts, architectures, and technologies essential for designing robust, scalable applications tailored to modern demands. Advanced developers leverage languages like Java, C, Python, or JavaScript, along with frameworks like Angular or Spring Boot, to streamline development. They grasp architectural patterns such as MVC or microservices for organizing code effectively. The proficiency in database management, security protocols, and performance optimization is crucial. Additionally, understanding deployment pipelines and DevOps principles ensure smooth operations. 2. Planning and Design Effective planning and meticulous design are the foundations of successful software development projects. These initial stages ensure that all aspects of the project are well-structured and aligned with business objectives, setting the stage for streamlined execution. Below are the importance, primary requirements, architecture and interface and experience for users in planning and designing phase. • Importance of Proper Planning Proper planning is the cornerstone of any successful application development project. It ensures that the project goals are clearly defined, risks are identified and mitigated, and resources are effectively allocated. Without meticulous planning, projects are prone to delays, budget overruns, and scope creep. In advanced application development, where complexity and innovation are often at their peak, robust planning is crucial to align technical capabilities with business objectives. • Requirements Gathering and Analysis Requirements gathering and analysis involve systematically capturing the needs and expectations of stakeholders. This phase is essential for translating business goals into functional and technical specifications. Techniques such as interviews, surveys, and workshops are employed to gather comprehensive requirements. Once collected, these requirements are analyzed to ensure they are feasible, testable, and aligned with the overall project vision. This process helps in constructing a solid foundation for the subsequent design and development stages, minimizing the risk of rework and project delays. • System Design and Architecture System design and architecture lay the blueprint for the entire application. This stage involves defining the structure, components, modules, interfaces, and data flow within the system. A well-thought-out architecture ensures scalability, maintainability, and performance efficiency. It encompasses choosing the appropriate design patterns, architectural styles (such as microservices or monolithic architecture), and technologies that best suit the application's requirements. In advanced application development, this phase is critical as it determines the long-term success and adaptability of the system to future changes and enhancements. • User Experience and User Interface Design User Experience (UX) and User Interface (UI) design focus on the end-user's interaction with the application. UX design involves understanding the users' needs, behaviors, and pain points to create an intuitive and satisfying user journey. This includes conducting user research, creating user personas, and developing wireframes and prototypes. UI design, on the other hand, deals with the visual aspects of the application, such as layout, color schemes, typography, and interactive elements. A seamless UI with proper API management enhances user engagement and satisfaction, which is vital for the success of any advanced application. Integrating UX and UI design early in the development process ensures that the final product is not only functional but also user-friendly and visually appealing. 3. Top 10 Tools for Advanced Application Development Below is the list of advanced application development tools to be used for a streamlines coding experience for software engineers and developers. This list includes the best technologies for application development and the features they bring along. 3.1. Netcall Liberty Create Being among the top 10 tools for advanced application development, Netcall Liberty Create revolutionizes enterprise application development with its low-code platform that simplifies the creation of customized, scalable applications. This powerful tool accelerates digital transformation, enhances operational agility, and fosters collaboration between business and IT teams. Key Features: • Simplifies the app development process, making it accessible to business users and developers • It easily integrates with existing IT infrastructure to unify operations and enhance data accessibility • Automates complex business processes to increase efficiency and reduce manual work • Enables teams to collaborate effectively, ensuring consistent and up-to-date workflows • Offers flexibility to create tailored solutions that meet specific business needs • Manages large datasets and complex data structures effortlessly, supporting informed decision-making 3.2. AgilePoint NX AgilePoint's low-code automation platform swiftly adapts and enhances enterprises' business processes, ensuring they remain agile in a rapidly changing business environment. The platform blends advanced AI capabilities, event-driven architecture, and extensive integration options to streamline operations and drive efficient digital transformation. The main characteristics comprise: • Promptly develop and deploy applications with minimal coding, empowering citizen developers. • Utilize AI to adapt business processes in real-time to changing conditions dynamically. • Automate routine tasks to free up employees’ time for more complex and valuable activities. • Seamlessly connect with various systems and cloud services to enhance functionality. • Improve application scalability and responsiveness while ensuring timely data access for better decision-making. • Support goal-oriented business processes with capabilities for real-time decision-making and event processing. • Maintain high standards of data security and compliance with built-in governance tools. • Benefit from dedicated advisory services, training, and support to maximize platform utility and ROI. 3.3. Ionic Ionic, one among the advanced application development tool offers a robust mobile SDK for creating high-quality cross-platform mobile apps from a single code base, supporting popular frameworks like React, Vue, and Angular. Designed for efficiency and speed, it enables developers to build performant applications with customizable UI components for an optimal user experience across all devices. Its core advantages include: • Utilizes hardware-accelerated transitions and touch-optimized gestures to ensure smooth and responsive app experiences • Enables building of beautiful UIs across all major mobile platforms from a unified codebase. • Offers built-in support for major JavaScript frameworks and can be used without any framework for greater flexibility • Supports both light and dark modes, allowing users to select their preferred theme for comfort and accessibility • Includes a powerful CLI and enhanced editor tooling like the Ionic VS Code Extension for streamlined development workflows • Accelerates the development process by enabling real-time updates directly on the device. • Connects effortlessly with native functionalities and a wide range of plugins for comprehensive access to device capabilities 3.4. Rocket Uniface Rocket Software has expanded its modernization capabilities by acquiring OpenText's AMC business, which includes advanced solutions like COBOL, Enterprise Suite, Host Connectivity, ADLM, and CORBA. This strategic move bolsters Rocket Software's leadership in providing cutting-edge modernization for systems ranging from mainframes to the cloud. The primary indicators are: • Enhances performance by automating workloads across hybrid infrastructures, mitigating security risks, and optimizing storage • Data Management transforms interaction with data through improved access, usage, and security, simplifying compliance and enhancing insights • Supports the creation of next-generation experiences, enabling quick deployment and engagement across various environments with minimal disruption • Trusted by 43 Fortune 50 companies, reflecting its strong reputation in the industry 3.5. 4D 4D, an advanced application development tool, provides a comprehensive suite of tools designed for rapidly developing and deploying custom business applications. From personal projects to enterprise solutions, 4D supports various development needs with its versatile packages, including 4D Developer Standard, 4D Developer Professional, and 4D Team Developer Professional, ensuring scalability and collaborative development capabilities. Some of its key elements include: This is ideal for creating personal applications or small client/server setups, offering interpreted mode operations • Enables the design of professional single-user and client/server applications, including web and mobile apps, with compiled application capabilities for better performance and code protection • Tailored for development teams to work simultaneously on the same project, with advanced testing capabilities and support for extensive team collaborations • Available under various subscription plans aligned with partnership levels (Bronze, Silver, Gold) or as one-time purchases • Includes powerful text and spreadsheet engines, 4D Write Pro and 4D View Pro, and extends mobile capabilities with 4D for Mobile • This deployment employs a 4D Server for efficient client/server management across platforms, automated administrative tasks, and integration with enterprise databases and web services 3.6. Knack Knack is a no-code application development platform that empowers users to design and deploy custom business applications quickly. It enables the creation of stunning user interfaces using a drag-and-drop visual designer, allowing customization without the need for extensive coding skills or hiring developers. The core components are: • Quickly design and customize user interfaces with various prebuilt components, such as charts, graphs, pivot tables, and multimedia elements, tailored to specific needs • Seamlessly integrate Knack applications into existing websites or blogs, ensuring they match the design and feel of online presence • Enhance application designs further with CSS or JavaScript, allowing for detailed personalization and branding • Knack provides extensive tools to support various business functions, from data management and workflow automation to e-commerce and user access control • This product is ideal for various sectors catering to specific industry needs, including construction, education, government, and healthcare 3.7. Qt Qt Creator, a tool for app development, is an AI-enabled cross-platform integrated development environment that enhances developer productivity. It supports various programming languages and integrates with coding assistants like GitHub Copilot, making it ideal for developing applications across desktop, mobile, and embedded systems. The major advantages provided by the tool are: • Offers sophisticated features like code completion, syntax highlighting, and in-editor documentation for languages including C++, QML, JavaScript, and Python • Compatible with Git, Subversion, Perforce, and Mercurial, allowing seamless version management • Supports importing existing projects or starting new ones with comprehensive build system integration • Enables building and running applications on various platforms with easy target-switching • Facilitates testing and debugging in conditions that mimic target devices closely • Converts source code to native machine code to enhance performance and protect intellectual property • Enhances coding efficiency by auto-completing code, generating documentation, and creating tests, with support for permissive license filtering • Includes performance analyzers, profiling tools, built-in testing, and debugging support, along with tools for building and compiling across different platforms • Supports multiple languages and regional settings to create globally adaptable applications 3.8. Kony Quantum Kony Quantum, now a part of Temenos Quantum, offers a comprehensive, scalable software-as-a-service platform enabling banks to rapidly and sustainably expand their capabilities. By leveraging Temenos SaaS, financial institutions can access various banking functionalities designed to enhance customer experiences and drive growth through digital transformation. Its notable features are as follows: • Offers the most extensive set of proven banking functions available in the market, enabling banks to tailor unique customer experiences • Includes end-to-end capabilities for various banking sectors such as retail, business, corporate, and wealth management • Utilizes advanced cloud technologies for enhanced scalability and performance • Provides an extensive network of solutions and a developer community to support banks in enhancing their service offerings • Offers ongoing upgrades and enhancements, ensuring that banks can continually refine and expand their customer offerings 3.9. Betty Blocks Betty Blocks, one of the app development tools for developers, combines low-code and no-code functionalities into a singular platform, streamlining the development of internal tools and customer-facing applications without the need for deep programming knowledge. This enables rapid application deployment, facilitating business growth and operational efficiency. The main characteristics of Betty Blocks include: • Design user interfaces using a drag-and-drop builder that simplifies the creation of visually appealing and functional applications • Connect to any existing data set or create new ones to support varied business processes and workflows • Implement action steps in workflows to enhance app interactivity and user engagement • Utilize built-in AI functionalities to speed up development and introduce advanced features • Ensure robust security with ISO-certified protocols safeguarding all operations and data • Promote cross-department collaboration through visual data modeling tools • Achieve high scalability and adaptability in app development to meet evolving business needs 3.10. Alpha Anywhere Alpha Anywhere, a platform for application development, is a robust low-code mobile app development platform designed to accelerate the creation and deployment of web and mobile applications. The platform is uniquely divided into ‘no-code’ and ‘low-code’ environments, enabling both business users and developers to quickly build applications that meet complex business needs and integrate with existing systems. Below are the special features of this tool: • Provides both no-code and low-code environments, allowing development from simple form-based apps to complex business applications • Develop applications that are compatible across iOS and Android devices, ensuring a broad reach • Integrates real-time capabilities into mobile apps, enhancing the user experience and functionality • Includes additional security protocols to safeguard corporate data throughout the app development and deployment processes • Significantly reduces development time compared to traditional coding methods, facilitated by a drag-and-drop interface • Easily integrates with existing systems of record and workflows to enhance app functionality and data coherence 4. Final Thoughts Mastering advanced application development requires a deep understanding of both theoretical principles and practical tools. By integrating comprehensive planning, systematic design, and utilizing the top tools in the industry, developers can create applications that are not only functional but also innovative and user-friendly. This toolkit provides a structured pathway to achieving excellence in application development, ensuring that developers are well-equipped to meet and exceed industry standards. The future of these advanced application development tools lies in embracing emerging technologies such as artificial intelligence, machine learning, and blockchain. As application development tools evolve in 2024, they will present new opportunities for innovation, enhancing functionalities such as AI integration, real-time data processing, and advanced security protocols. Developers must stay updated with advancements in the top and trending tools to continuously upgrade their skills and utilize these enhancements. This proactive approach will enable software developers to leverage cutting-edge features such as low-code development platforms, automated testing frameworks, and enhanced cloud-native capabilities, ensuring they maintain a competitive edge and maximize the potential of these advanced tools.

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Application Development Platform

API Management Essentials for Optimized UX in 2024

Article | March 19, 2024

Master API management key essentials and top strategies for digital success of businesses. Know more about their top providers and learn the way they help enhance performance and drive innovation. Contents 1. What are API Management Essentials? 1.1. How Do API Management Assist in Improving UX? 2. Top Strategies to Execute API Integrations 3. Best Providers of API Management 3.1. Tyk 3.2. Gravitee 3.3. Ambassador 3.4. Lobster 3.5. Integrate.io 3.6. Fiorano 3.7. Astera 3.8. Adaptigent 3.9. Sensedia 3.10. Sauce Labs 4. Wrap Up 1. What are API Management Essentials? API management is a critical framework that allows organizations to control the end-to-end process of designing, deploying, and maintaining APIs. They are used for the integration of new applications with existing software systems. It encompasses tools and services that ensure secure, scalable, and efficient API operations, essential for supporting seamless interactions between applications and services. Through components such as API gateways, security protocols, and analytics systems, API management optimizes data flow, enforces policy compliance, and enhances service reliability, directly impacting business agility and growth. This exploration delves into these key elements to illustrate their role in creating robust digital ecosystems. For example, a company can call APIs to integrate into its workflow from other companies that have their applications ready. In short, it helps build custom solutions by integrating multiple applications. API management involves a range of practices and tools that help organizations oversee the APIs they create and expose. A central component is the API gateway, which serves as a unified entry point for all API requests, helping to manage traffic and enforce policies like authentication and rate limiting. Essential to this process is robust documentation and a developer portal that provides necessary resources and tools for developers to understand, utilize, and manage their API usage effectively. Security measures are crucial, typically involving mechanisms for authentication and authorization, such as API keys and OAuth tokens. Additionally, API management includes features for rate limiting and throttling to control traffic flow and prevent overuse providing a streamlined API UX. Analytics and monitoring are also integral, enabling the tracking of API performance and usage patterns to maintain service quality and guide future improvements. Effective management also requires version control to handle updates without disrupting existing services, policy enforcement to apply governance uniformly, and lifecycle management to oversee an API from creation to retirement. Collectively, these components ensure that an organization's API ecosystem is scalable, secure, and strategically aligned with business goals. 1.1. How Do API Management Assist in Improving UX? API management plays a crucial role in enhancing user experience by optimizing performance, ensuring consistency, bolstering security and streamlining processes across digital services. Below is a detailed elucidation of how API management tools contribute to improved UX: 1.1.1 Performance Optimization: By implementing API gateways, organizations manage the flow of data between client applications and back-end services with high efficiency. These gateways reduce latency and accelerate data delivery by implementing effective load balancing and response caching. This directly enhances the responsiveness of applications, leading to a superior user experience. The global API marketplace market size was estimated at USD 13.74 billion in 2022 and is expected to grow at a CAGR of 17.8% from 2023 to 2030. [Source: Grand View Research] 1.1.2 Consistency and Reliability: API management enforces uniform standards and policies across all APIs, ensuring a consistent interface for developers. This consistency translates into a reliable and predictable user experience. Features like rate limiting and traffic management are crucial for maintaining high availability and performance even during peak load times, thereby minimizing service disruptions. 1.1.3 Security Measures: Robust security protocols are essential to protect sensitive user data and build trust. API management frameworks support advanced authentication and authorization mechanisms, including OAuth, API keys, and JWT. These measures prevent unauthorized access and ensure data integrity, thereby safeguarding user interactions with applications. Use API keys to expect developers to build internal applications that do not needs to access only a single user’s data. Use OAuth access tokens if one wants users to provide authorization easily to applications without the need to share private data or dig through developer documents. Use JWT in concert with OAuth to limit database lookups and when there is no need to immediately revoke access. 1.1.4 Version Management: Effective version control is vital for facilitating ongoing improvements without affecting existing functionalities. API management supports smooth transitions between different API versions, allowing users to benefit from new features and enhancements without experiencing service interruptions. 1.1.5 Analytical Insights and Monitoring: Continuous monitoring and real-time analytics enable organizations to detect and rectify issues promptly, often before they impact end users. These insights also help in understanding user behavior and preferences, guiding optimizations that directly enhance user interactions and satisfaction. 1.1.6 Error Handling: API management standardizes how services communicate errors, providing users with clear and consistent error messages. This transparency helps users understand issues and, where possible, guides them on how to resolve problems, thus improving the interaction quality. 1.1.7 Developer Support: A well-supported developer ecosystem, facilitated by comprehensive documentation and a developer portal, empowers a developer experience to utilize APIs more effectively. This support leads to the best practices for faster application development and deployment of new features and bug fixes, which directly enhances the user experience. 2. Top Strategies to Execute API Integrations Begin by meticulously defining the integration requirements to select APIs that precisely align with business needs. Choose an appropriate API architecture like REST, SOAP, or GraphQL, based on specific integration criteria such as simplicity, security, or data efficiency. Security is paramount; thus, stringent authentication and encryption practices, including OAuth and HTTPS, should be implemented to protect data integrity and privacy. Utilize API management tools for lifecycle management, policy enforcement, and performance analytics, simplifying API integrations' management and scalability. Rigorous testing across various scenarios ensures robustness before deployment, and ongoing performance monitoring after deployment promptly identifies and rectifies issues, thus maintaining optimal service levels. Finally, the API integration strategy includes the comprehensive and clear documentation supports the effective use and maintenance of APIs, and a forward-looking versioning strategy accommodates future enhancements without disrupting existing functionality. This structured and strategic approach ensures that API integrations are technically sound, strategically advantageous, and sustainable. 3. Best Providers of API Management An API management platform is essential for businesses looking to harness the power of APIs to enhance connectivity, streamline operations, and unlock innovation. The best strategies for API management often involve choosing a provider that offers robust features tailored to specific needs. Top providers typically offer comprehensive solutions that include API gateways for traffic management, authentication, and security tools for development pipeline to protect sensitive data. Below are the top 10 API management vendors providing security and testing in API. 3.1.Tyk Tyk Technologies, a leader in API management, offers a comprehensive and composable API experience platform, recognized as a leader in Gartner’s 2023 Magic Quadrant for API management platforms (APIM). Designed to support API platform, product, and developer teams, Tyk facilitates the architecture, scaling, and governance of API platforms across organizations. It allows for the creation and security testing of APIs, accelerating deployment, and enabling ongoing monitoring and troubleshooting. The Company supports a range of deployment options including cloud, Kubernetes, and on-premises, ensuring adaptability to different business needs. 3.2.Gravitee Gravitee is an innovative API management platform named Visionary in Gartner’s 2023 Magic Quadrant for its ability to execute and complete vision. With over 350,000 Docker pulls per month, Gravitee supports the full lifecycle of APIs, including design, security, deployment, and monitoring. It is uniquely event-native, catering to synchronous, asynchronous, and event APIs. The platform boasts an intuitive GUI, a management API, and a Kubernetes operator, ensuring ease of setup and use. Gravitee’s solutions include advanced API governance across multiple gateways, real-time observability, and secure API access management. 3.3.Ambassador Ambassador Labs enhances cloud-native and microservices development with its Kubernetes-native productivity tools, Edge Stack API Gateway, and Telepresence for local testing. Edge Stack is integral throughout the microservices lifecycle, includingdesign, development, testing, deployment, and observability of APIs. Telepresence facilitates efficient app development by seamlessly integrating local and remote environments, significantly reducing time and improving collaboration.These tools offer robust securityfeatures,fine-grainedtrafficmanagement,and are tailored for enterprise scalability, ensuring reliable performance and service quality. 3.4.Lobster Lobster provides a transformative digital ecosystem through its Lobster_data platform, leveraging no-code technology to facilitate data integration and process automation. Recognized for enhancing customer satisfaction, efficiency, and cost-effectiveness, Lobster's solutions empower businesses to streamline operations and drive digital innovation without the need for extensive programming knowledge. The platform offers comprehensive API management capabilities, allowing even the non-IT staff to easily create, manage, and monitor APIs, thus supporting the entire API lifecycle from setup to retirement. 3.5.Integrate.io Integrate.io offers a robust, no-code data management platform that streamlines the generation and operation of REST APIs to empower enterprises with rapid, secure, and scalable data integration solutions. The platform is designed to facilitate instant API generation for SQL and NoSQL databases, file storage systems, and external services, ensuring extensive data quality and compliance with best industry practices. Key features include automated Swagger OpenAPI documentation, flexible authentication systems such as JWT and OAuth, and comprehensive security measures including SSO, LDAP, and role-based access controls. Integrate.io caters to a global clientele, helping automate data pipelines efficiently and supporting businesses with top data connectors like SQL Server, MySQL, and BigQuery. This platform is particularly beneficial for organizations looking to enhance operational efficiency, secure data transfer, and ensure high-quality data management without extensive coding requirements. 3.6.Fiorano Fiorano is a cloud-native API platformthat specializesin building and managing sophisticated enterprise applications capable of operating across hybrid and multi-cloud environments.With a focuson large-scale, dynamic, and real-time performance, Fiorano ensures that its applications meet global functionality, compliance, data sovereignty, and security requirements. The platform supports seamless integration of systems, enabling businesses to handle massive data volumes securely and efficiently. Notably, Fiorano's Event Orchestrator simplifies microservices management by allowing users to visually compose applications with pre-built services, streamlining deployment and operational processes. 3.7.Astera Astera offers a comprehensive, no-code data management platform that empowers enterprises to convert data into actionable insightsrapidly.Astera’ssolutionsare designedto support the entire data management lifecycle, from integration to API management, without coding. The platform features an intuitive, drag-and-drop interface that simplifies complex data processes and enhances operational efficiency, enabling business users to manage tasks with minimal IT intervention. 3.8.Adaptigent Adaptigent empowers enterprises to leverage their legacy systems formoderndigital transformation through its patented Adaptive Integration Fabric and a no-code platform. This approach enables seamless integration of mission-critical core systems withmodernapplications, facilitating real-time, business-ready data delivery withoutthe need forcoding. Adaptigent's low-code interface supports IT departments in integrating systems with minimal risk, usingrepeatable workflows that accommodate real-time needs, thereby bridging the gap between traditional mainframe systems and contemporary technological demands. 3.9.Sensedia Sensedia is a globally recognized leader in API management and microservices, providing innovative solutions that drive digital transformation. With its powerful no-code platform, Sensedia enables seamless integration of legacy systems with modern applications, offering tools for API lifecycle management, adaptive governance, and real-time data orchestration. Sensedia's technology platformis fortifiedby its Adaptive Integration Fabric, which simplifies the creation, exposure, and monitoring of APIs without coding. The company caters to a diverse client base across multiple sectors globally, including major corporations. It is committed to empowering enterprises to enhance operational agility, enrich customer experiences, and foster innovative digital ecosystems. 3.10.Sauce Labs Sauce Labs is a leading provider of continuous testing and error reporting solutions, delivering a comprehensive and trusted testing platform. Its unified platform, renowned for its extensive capabilities, supports the complete lifecycle of API testing, ensuring that web and mobile applications perform flawlessly across all browsers, operating systems, and devices. With a focus on accelerating integration strategies and enhancing API quality, Sauce Labs offers advanced features for API testing, monitoring, and insights, including functional and integration testing, load testing, and API benchmarking. Sauce Labs continues to shape the future of digital quality assurance, making it a pivotal tool for businesses aiming to improve the quality of their digital products efficiently. 4. Wrap Up API management is a fundamental aspect of modern digital strategies, enabling organizations to leverage the full potential of their API ecosystems. By ensuring efficient management of API lifecycles, enforcing security protocols, facilitating seamless integration, and providing analytical insights, businesses can enhance operational efficiencies along with delivering superior and enhanced UX with API integrations. This strategic application of API management tools and practices ensures that organizations remain agile and competitive in a digital-first world. The future outlook of API management is set to intersect increasingly with the intelligent solutions and automation enabling more sophisticated automation and predictive analytics. This evolution will allow for the real-time customization, monitoring and alerting of API gateways and smarter security protocols, enhancing both performance and protection against evolving threats. Furthermore, the rise of IoT devices and edge computing will expand the need for API management solutions that can operate at scale across dispersed networks. As businesses continue to embrace digital transformation, API management will play a very crucial and irreplaceablenon-replaceable role in efficiently orchestrating these complex, interconnected environments efficiently.

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Empowering Industry 4.0 with Artificial Intelligence

Article | February 12, 2020

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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GenXM

GenXM is the world wide mobile division of HyTechPro. It is a one stop shop for all mobile app design, development and porting requirements. With great expertise of Titanium framework it does Cross-Platform app development for iOS and Android. It develops apps for all major mobile platforms and also for iPad and Android-based Tablets. GenXM follows an industry leading app development methodology that guarantees quick time to market and time to profitability. GenXM creates most quality, intuitive and innovative applications best suited to any business. The expert developers and programmers at GenXM work very closely with the client and maintain project transparency. Every solution is developed after thorough understanding of the clients’ requirements with maximum cost-efficiency.

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IBM to Acquire StreamSets and webMethods Platforms from Software AG

IBM | December 18, 2023

IBM (NYSE: IBM) today announced that it has entered into a definitive agreement with Software AG (FRA: SOW), a company majority owned by Silver Lake, to purchase StreamSets and webMethods, Software AG's Super iPaaS (integration platform-as-a-service) enterprise technology platforms, for €2.13 billion in cash. As organizations continue to accelerate their digital transformations, application and data integration solutions are critical elements for application modernization and effectively deploying AI across the enterprise. StreamSets and webMethods are among the technology leaders in application integration, API management, and data integration. IDC predicts the worldwide integration software market will exceed $18.0 billion in 2027 at a compound annual growth rate (CAGR) of 16.1%.1 The acquisition of StreamSets and webMethods is further evidence of IBM's deep focus and investment in AI and hybrid cloud. StreamSets will add data ingestion capabilities to watsonx, IBM's AI and data platform, while webMethods will give clients and partners additional integration and API management tools for their hybrid multi-cloud environments. The core offerings include: StreamSets - a cloud-native DataOps and data ingestion platform which allows enterprises to achieve consistent access and delivery of data across a wide spectrum of data sources and types. StreamSets also facilitates the design of smart data pipelines and the ingestion of real-time and batch data. webMethods - an integration and API management platform. The integration platform, deployed both on-prem and in the cloud, offers B2B integration, managed file transfer, and provides a modern API gateway to manage, monitor, and monetize APIs. Software AG's Super iPaaS platform is growing, profitable and has a significant recurring revenue profile. StreamSets and webMethods serve more than 1,500 clients across the globe. "Together with IBM's watsonx AI and data platform, as well as its application modernization, data fabric and IT automation products, StreamSets and webMethods will help clients unlock the full potential of their applications and data. This powerful combination helps drive innovation while preparing businesses for AI, no matter where applications or data reside," said Rob Thomas, Senior Vice President, Software and Chief Commercial Officer, IBM. "Today's news will give IBM clients and partners one of the most modern and comprehensive application and data integration platforms in the industry." The pending acquisition follows a more than 20-year relationship between IBM and Software AG, with both StreamSets and webMethods expected to drive synergy with IBM's current portfolio, including watsonx, Red Hat, the company's IT automation products, as well as IBM Consulting. Additionally, StreamSets and webMethods are expected to benefit from IBM's global scale, operating in more than 175 countries. "IBM is the ideal home for webMethods and StreamSets, the products at the heart of our Super iPaaS vision," said Sanjay Brahmawar, Chief Executive Officer of Software AG. "Combined with IBM's global scale and focus on hybrid cloud and AI, our people will have a fantastic opportunity to develop while helping enterprises everywhere get the most out of their applications and data." "We believe that there is no business more iconic or better suited than IBM to continue investing in and growing these great platforms," said Christian Lucas, Chairman of the Supervisory Board of Software AG and Managing Partner of Silver Lake. "The opportunity to bring the StreamSets and webMethods teams together with IBM to innovate in building the future of hybrid cloud and next-generation AI solutions for the enterprise is uniquely compelling. We are pleased that our investment in Software AG helped spark that vision, reflecting Silver Lake's commitment to partner with the world's best management teams and technology leaders in driving exceptional value creation for customers, employees and other stakeholders." StreamSets and webMethods will be acquired with available cash on hand. The consummation of the transaction is subject to customary closing conditions, including regulatory approvals, and is expected to be completed in the second quarter of 2024. About IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.

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AI Tech

IBM Launches watsonx Code Assistant, Delivers Generative AI-powered Code Generation Capabilities Built for Enterprise Application Modernization

PR Newswire | October 26, 2023

Today IBM (NYSE: IBM) launched watsonx Code Assistant, a generative AI-powered assistant that helps enterprise developers and IT operators code more quickly and more accurately using natural language prompts. The product currently delivers on two specific enterprise use cases. First, IT Automation with watsonx Code Assistant for Red Hat Ansible Lightspeed, for tasks such as network configuration and code deployment. Second, mainframe application modernization with watsonx Code Assistant for Z, for translation of COBOL to Java on IBM Z. Designed to accelerate development while maintaining the principles of trust, security, and compliance, the product leverages generative AI based on IBM's Granite foundation models for code running on IBM's watsonx platform. Granite uses the decoder architecture, which underpins large language model capabilities to predict what is next in a sequence to support natural language processing tasks. IBM is exploring opportunities to tune watsonx Code Assistant with additional domain-specific generative AI capabilities to assist in code generation, code explanation, and the full end-to-end software development lifecycle to continue to drive enterprise application modernization. According to a recent IDC report, "Because it relies on a model trained on curated data, watsonx Code Assistant can help enterprises improve code quality by propagating best practices through code recommendations, instead of polluting enterprise code bases with code generated by models trained on unvetted repositories."2 With this launch, watsonx Code Assistant joins watsonx Orchestrate and watsonx Assistant in IBM's growing line of watsonx assistants that provide enterprises with tangible ways to implement generative AI, said Kareem Yusuf, Ph.D, Senior Vice President, Product Management and Growth, IBM Software. Watsonx Code Assistant puts AI-assisted code development and application modernization tools directly into the hands of developers – in a naturally integrated way that is designed to be non-disruptive – to help address skills gaps and increase productivity. Additionally, IBM Consulting brings deep domain expertise across these use cases working closely with clients across industries such as banking, insurance, healthcare and government, to build strategies to allow them to take advantage of the potential of generative AI and code generation to accelerate modernization. IT Automation - IBM watsonx Code Assistant for Red Hat Ansible Lightspeed The Ansible Automation Platform helps enterprise developers and IT operators implement automation, using Ansible Playbooks, for IT tasks including infrastructure management, hybrid cloud deployment, network configuration, application deployment and more. With IBM watsonx Code Assistant for Red Hat Ansible Lightspeed, platform users can input plain English prompts to automatically generate task recommendations for Ansible Playbooks that adhere to best practices in task creation and maintenance. This way, a greater number of team members can create Ansible Playbooks more efficiently and implement automation engineered to be more resilient and easier to support without in-depth training. Technical Preview Key Data: Approximately 4,000 developers participated in the technical preview. 85% overall average acceptance rate of the AI-generated content recommendations. (from July 27 – Oct 23, 2023, based on over 41,000 recommendations) Productivity improvements in the range of 20-45%. "Red Hat has already shown what domain-specific AI can do for IT automation at the community level," said Ashesh Badani, Senior Vice President and Chief Product Officer, Red Hat. "The release of watsonx Code Assistant for Red Hat Ansible Lightspeed has the potential to close skills gaps, create greater organizational efficiencies and free enterprise IT to deliver even more business value." The Hybrid Cloud Platforms team within the IBM CIO Office uses Red Hat Ansible Automation Platform to support a wide range of tasks within their IT environment whether it's patching, resolving vulnerabilities, or running regular health checks of their systems. Bob Epstein, Leader of IBM CIO Hybrid Cloud Platforms, expects that the number of developers able to produce Ansible Playbooks with the full release version could increase as much as 10x as watsonx Code Assistant for Red Hat Ansible Lightspeed empowers other team members such as Site Reliability Engineers who can use natural language to generate Ansible-specific automation tasks. "I like to look at our modernization journey in these stages: In the past we were crawling, doing a lot of things manually. Then, when we started automating, we were walking. Once we implemented Red Hat Ansible Automation Platform, we were running. And as we look ahead, with watsonx Code Assistant for Red Hat Ansible Lightspeed, I think we will be able to fly," said Robert Barron, Architect, Hybrid Cloud Platforms, IBM CIO Office. Mainframe Application Modernization – IBM watsonx Code Assistant for Z IBM watsonx Code Assistant for Z helps enable faster translation of COBOL to Java on IBM Z and enhances developer productivity on the platform. It is being designed to assist businesses in leveraging generative AI and automated tooling to accelerate their mainframe application modernization – while allowing clients to take advantage of the performance, security and resiliency capabilities of IBM Z. Today, the product follows the application modernization lifecycle, starting with an application discovery capability, which maps out a technical understanding of the application and its dependencies. Then, an automated refactoring capability leverages the information captured in application discovery to identify selected elements to decompose the monolithic application into modular COBOL business services. Finally, watsonx Code Assistant for Z leverages generative AI to transform individual COBOL business services into object-oriented Java code. The next step in the lifecycle is validation testing. Anticipated in a future release, the product will support automated test case generation to validate the new COBOL or Java services. TCS and IBM hold a long-term partnership that fosters a collaborative ecosystem to develop joint successes for their customers and stakeholders. Leveraging this partnership and the deep contextual knowledge, TCS has grown a purpose-led, dedicated, full-service practice for in-place application modernization. "There is a significant need for the developer productivity gains that generative AI can bring to transform applications on the mainframe," said Keshav Varma, ISU Head, Technology, Software and Services Business Unit, TCS. "While watsonx Code Assistant for Z has only just become available, we have several clients that have already requested that we create proofs of concept for them. With decades of enterprise experience from both our companies, we look forward to building on our deep partnership with IBM using watsonx." IBM Consulting Brings Expertise to Help Clients with IT Automation and Modernization Early IBM Consulting engagements for both watsonx Code Assistant for Red Hat Ansible Lightspeed and watsonx Code Assistant for Z aim to provide clients with the ability to deliver continuous automation, Ansible Playbook productivity, quality improvements, and transformation of IT operations – in addition to helping them identify the right application areas to modernize with Z. For those looking for more personalized use cases with watsonx Code Assistant, IBM Consulting and IBM Client Engineering can work side-by-side with clients to identify specific pain points and solve critical business and technical challenges from the users' perspective. IBM Consulting brings deep industry expertise in application modernization, IT automation and generative AI via dedicated Red Hat and watsonx practices that work closely with IBM Research, IBM Technology and Red Hat. Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

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DataStax Launches New Integration with LangChain, Enables Developers to Easily Build Production-ready Generative AI Applications

Business Wire | October 25, 2023

DataStax, the company that powers generative AI applications with real-time, scalable data, today announced a new integration with LangChain, the most popular orchestration framework for developing applications with large language models (LLMs). The integration makes it easy to add Astra DB – the real-time database for developers building production Gen AI applications – or Apache Cassandra, as a new vector source in the LangChain framework. As many companies implement retrieval augmented generation (RAG) – the process of providing context from outside data sources to deliver more accurate LLM query responses – into their generative AI applications, they require a vector store that gives them real-time updates with zero latency on critical, real-life production workloads. Generative AI applications built with RAG stacks require a vector-enabled database and an orchestration framework like LangChain, to provide memory or context to LLMs for accurate and relevant answers. Developers use LangChain as the leading AI-first toolkit to connect their application to different data sources. The new integration lets developers leverage the power of the Astra DB vector database for their LLM, AI assistant, and real-time generative AI projects through the LangChain plugin architecture for vector stores. Together, Astra DB and LangChain help developers to take advantage of framework features like vector similarity search, semantic caching, term-based search, LLM-response caching, and data injection from Astra DB (or Cassandra) into prompt templates. In a RAG application, the model receives supplementary data or context from various sources — most often a database that can store vectors, said Harrison Chase, CEO, LangChain. Building a generative AI app requires a robust, powerful database, and we ensure our users have access to the best options on the market via our simple plugin architecture. With integrations like DataStax's LangChain connector, incorporating Astra DB or Apache Cassandra as a vector store becomes a seamless and intuitive process. “Developers at startups and enterprises alike are using LangChain to build generative AI apps, so a deep native integration is a must-have,” said Ed Anuff, CPO, DataStax. “The ability for developers to easily use Astra DB as their vector database of choice, directly from LangChain, streamlines the process of building the personalized AI applications that companies need. In fact, we’re already seeing customers benefit from our joint technologies as healthcare AI company, Skypoint, is using Astra DB and LangChain to power its generative AI healthcare model.” To learn more, join the live webinar on October 26 at 9am PT, where LangChain founder and CEO, Harrison Chase, and SkyPoint founder and CEO, Tisson Mathew, discuss their experience building production RAG applications. About DataStax DataStax is the company that powers generative AI applications with real-time, scalable data with production-ready vector data tools that generative AI applications need, and seamless integration with developers’ stacks of choice. The Astra DB vector database provides developers with elegant APIs, powerful real-time data pipelines, and complete ecosystem integrations to quickly build and deploy production-level AI applications. With DataStax, any enterprise can mobilize real-time data to quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, Verizon, VerSe Innovation, and many more rely on DataStax to deliver real-time AI. Learn more at DataStax.com. Apache, Apache Cassandra, and Cassandra, are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States, and/or other countries.

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Software

IBM to Acquire StreamSets and webMethods Platforms from Software AG

IBM | December 18, 2023

IBM (NYSE: IBM) today announced that it has entered into a definitive agreement with Software AG (FRA: SOW), a company majority owned by Silver Lake, to purchase StreamSets and webMethods, Software AG's Super iPaaS (integration platform-as-a-service) enterprise technology platforms, for €2.13 billion in cash. As organizations continue to accelerate their digital transformations, application and data integration solutions are critical elements for application modernization and effectively deploying AI across the enterprise. StreamSets and webMethods are among the technology leaders in application integration, API management, and data integration. IDC predicts the worldwide integration software market will exceed $18.0 billion in 2027 at a compound annual growth rate (CAGR) of 16.1%.1 The acquisition of StreamSets and webMethods is further evidence of IBM's deep focus and investment in AI and hybrid cloud. StreamSets will add data ingestion capabilities to watsonx, IBM's AI and data platform, while webMethods will give clients and partners additional integration and API management tools for their hybrid multi-cloud environments. The core offerings include: StreamSets - a cloud-native DataOps and data ingestion platform which allows enterprises to achieve consistent access and delivery of data across a wide spectrum of data sources and types. StreamSets also facilitates the design of smart data pipelines and the ingestion of real-time and batch data. webMethods - an integration and API management platform. The integration platform, deployed both on-prem and in the cloud, offers B2B integration, managed file transfer, and provides a modern API gateway to manage, monitor, and monetize APIs. Software AG's Super iPaaS platform is growing, profitable and has a significant recurring revenue profile. StreamSets and webMethods serve more than 1,500 clients across the globe. "Together with IBM's watsonx AI and data platform, as well as its application modernization, data fabric and IT automation products, StreamSets and webMethods will help clients unlock the full potential of their applications and data. This powerful combination helps drive innovation while preparing businesses for AI, no matter where applications or data reside," said Rob Thomas, Senior Vice President, Software and Chief Commercial Officer, IBM. "Today's news will give IBM clients and partners one of the most modern and comprehensive application and data integration platforms in the industry." The pending acquisition follows a more than 20-year relationship between IBM and Software AG, with both StreamSets and webMethods expected to drive synergy with IBM's current portfolio, including watsonx, Red Hat, the company's IT automation products, as well as IBM Consulting. Additionally, StreamSets and webMethods are expected to benefit from IBM's global scale, operating in more than 175 countries. "IBM is the ideal home for webMethods and StreamSets, the products at the heart of our Super iPaaS vision," said Sanjay Brahmawar, Chief Executive Officer of Software AG. "Combined with IBM's global scale and focus on hybrid cloud and AI, our people will have a fantastic opportunity to develop while helping enterprises everywhere get the most out of their applications and data." "We believe that there is no business more iconic or better suited than IBM to continue investing in and growing these great platforms," said Christian Lucas, Chairman of the Supervisory Board of Software AG and Managing Partner of Silver Lake. "The opportunity to bring the StreamSets and webMethods teams together with IBM to innovate in building the future of hybrid cloud and next-generation AI solutions for the enterprise is uniquely compelling. We are pleased that our investment in Software AG helped spark that vision, reflecting Silver Lake's commitment to partner with the world's best management teams and technology leaders in driving exceptional value creation for customers, employees and other stakeholders." StreamSets and webMethods will be acquired with available cash on hand. The consummation of the transaction is subject to customary closing conditions, including regulatory approvals, and is expected to be completed in the second quarter of 2024. About IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.

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AI Tech

IBM Launches watsonx Code Assistant, Delivers Generative AI-powered Code Generation Capabilities Built for Enterprise Application Modernization

PR Newswire | October 26, 2023

Today IBM (NYSE: IBM) launched watsonx Code Assistant, a generative AI-powered assistant that helps enterprise developers and IT operators code more quickly and more accurately using natural language prompts. The product currently delivers on two specific enterprise use cases. First, IT Automation with watsonx Code Assistant for Red Hat Ansible Lightspeed, for tasks such as network configuration and code deployment. Second, mainframe application modernization with watsonx Code Assistant for Z, for translation of COBOL to Java on IBM Z. Designed to accelerate development while maintaining the principles of trust, security, and compliance, the product leverages generative AI based on IBM's Granite foundation models for code running on IBM's watsonx platform. Granite uses the decoder architecture, which underpins large language model capabilities to predict what is next in a sequence to support natural language processing tasks. IBM is exploring opportunities to tune watsonx Code Assistant with additional domain-specific generative AI capabilities to assist in code generation, code explanation, and the full end-to-end software development lifecycle to continue to drive enterprise application modernization. According to a recent IDC report, "Because it relies on a model trained on curated data, watsonx Code Assistant can help enterprises improve code quality by propagating best practices through code recommendations, instead of polluting enterprise code bases with code generated by models trained on unvetted repositories."2 With this launch, watsonx Code Assistant joins watsonx Orchestrate and watsonx Assistant in IBM's growing line of watsonx assistants that provide enterprises with tangible ways to implement generative AI, said Kareem Yusuf, Ph.D, Senior Vice President, Product Management and Growth, IBM Software. Watsonx Code Assistant puts AI-assisted code development and application modernization tools directly into the hands of developers – in a naturally integrated way that is designed to be non-disruptive – to help address skills gaps and increase productivity. Additionally, IBM Consulting brings deep domain expertise across these use cases working closely with clients across industries such as banking, insurance, healthcare and government, to build strategies to allow them to take advantage of the potential of generative AI and code generation to accelerate modernization. IT Automation - IBM watsonx Code Assistant for Red Hat Ansible Lightspeed The Ansible Automation Platform helps enterprise developers and IT operators implement automation, using Ansible Playbooks, for IT tasks including infrastructure management, hybrid cloud deployment, network configuration, application deployment and more. With IBM watsonx Code Assistant for Red Hat Ansible Lightspeed, platform users can input plain English prompts to automatically generate task recommendations for Ansible Playbooks that adhere to best practices in task creation and maintenance. This way, a greater number of team members can create Ansible Playbooks more efficiently and implement automation engineered to be more resilient and easier to support without in-depth training. Technical Preview Key Data: Approximately 4,000 developers participated in the technical preview. 85% overall average acceptance rate of the AI-generated content recommendations. (from July 27 – Oct 23, 2023, based on over 41,000 recommendations) Productivity improvements in the range of 20-45%. "Red Hat has already shown what domain-specific AI can do for IT automation at the community level," said Ashesh Badani, Senior Vice President and Chief Product Officer, Red Hat. "The release of watsonx Code Assistant for Red Hat Ansible Lightspeed has the potential to close skills gaps, create greater organizational efficiencies and free enterprise IT to deliver even more business value." The Hybrid Cloud Platforms team within the IBM CIO Office uses Red Hat Ansible Automation Platform to support a wide range of tasks within their IT environment whether it's patching, resolving vulnerabilities, or running regular health checks of their systems. Bob Epstein, Leader of IBM CIO Hybrid Cloud Platforms, expects that the number of developers able to produce Ansible Playbooks with the full release version could increase as much as 10x as watsonx Code Assistant for Red Hat Ansible Lightspeed empowers other team members such as Site Reliability Engineers who can use natural language to generate Ansible-specific automation tasks. "I like to look at our modernization journey in these stages: In the past we were crawling, doing a lot of things manually. Then, when we started automating, we were walking. Once we implemented Red Hat Ansible Automation Platform, we were running. And as we look ahead, with watsonx Code Assistant for Red Hat Ansible Lightspeed, I think we will be able to fly," said Robert Barron, Architect, Hybrid Cloud Platforms, IBM CIO Office. Mainframe Application Modernization – IBM watsonx Code Assistant for Z IBM watsonx Code Assistant for Z helps enable faster translation of COBOL to Java on IBM Z and enhances developer productivity on the platform. It is being designed to assist businesses in leveraging generative AI and automated tooling to accelerate their mainframe application modernization – while allowing clients to take advantage of the performance, security and resiliency capabilities of IBM Z. Today, the product follows the application modernization lifecycle, starting with an application discovery capability, which maps out a technical understanding of the application and its dependencies. Then, an automated refactoring capability leverages the information captured in application discovery to identify selected elements to decompose the monolithic application into modular COBOL business services. Finally, watsonx Code Assistant for Z leverages generative AI to transform individual COBOL business services into object-oriented Java code. The next step in the lifecycle is validation testing. Anticipated in a future release, the product will support automated test case generation to validate the new COBOL or Java services. TCS and IBM hold a long-term partnership that fosters a collaborative ecosystem to develop joint successes for their customers and stakeholders. Leveraging this partnership and the deep contextual knowledge, TCS has grown a purpose-led, dedicated, full-service practice for in-place application modernization. "There is a significant need for the developer productivity gains that generative AI can bring to transform applications on the mainframe," said Keshav Varma, ISU Head, Technology, Software and Services Business Unit, TCS. "While watsonx Code Assistant for Z has only just become available, we have several clients that have already requested that we create proofs of concept for them. With decades of enterprise experience from both our companies, we look forward to building on our deep partnership with IBM using watsonx." IBM Consulting Brings Expertise to Help Clients with IT Automation and Modernization Early IBM Consulting engagements for both watsonx Code Assistant for Red Hat Ansible Lightspeed and watsonx Code Assistant for Z aim to provide clients with the ability to deliver continuous automation, Ansible Playbook productivity, quality improvements, and transformation of IT operations – in addition to helping them identify the right application areas to modernize with Z. For those looking for more personalized use cases with watsonx Code Assistant, IBM Consulting and IBM Client Engineering can work side-by-side with clients to identify specific pain points and solve critical business and technical challenges from the users' perspective. IBM Consulting brings deep industry expertise in application modernization, IT automation and generative AI via dedicated Red Hat and watsonx practices that work closely with IBM Research, IBM Technology and Red Hat. Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

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DataStax Launches New Integration with LangChain, Enables Developers to Easily Build Production-ready Generative AI Applications

Business Wire | October 25, 2023

DataStax, the company that powers generative AI applications with real-time, scalable data, today announced a new integration with LangChain, the most popular orchestration framework for developing applications with large language models (LLMs). The integration makes it easy to add Astra DB – the real-time database for developers building production Gen AI applications – or Apache Cassandra, as a new vector source in the LangChain framework. As many companies implement retrieval augmented generation (RAG) – the process of providing context from outside data sources to deliver more accurate LLM query responses – into their generative AI applications, they require a vector store that gives them real-time updates with zero latency on critical, real-life production workloads. Generative AI applications built with RAG stacks require a vector-enabled database and an orchestration framework like LangChain, to provide memory or context to LLMs for accurate and relevant answers. Developers use LangChain as the leading AI-first toolkit to connect their application to different data sources. The new integration lets developers leverage the power of the Astra DB vector database for their LLM, AI assistant, and real-time generative AI projects through the LangChain plugin architecture for vector stores. Together, Astra DB and LangChain help developers to take advantage of framework features like vector similarity search, semantic caching, term-based search, LLM-response caching, and data injection from Astra DB (or Cassandra) into prompt templates. In a RAG application, the model receives supplementary data or context from various sources — most often a database that can store vectors, said Harrison Chase, CEO, LangChain. Building a generative AI app requires a robust, powerful database, and we ensure our users have access to the best options on the market via our simple plugin architecture. With integrations like DataStax's LangChain connector, incorporating Astra DB or Apache Cassandra as a vector store becomes a seamless and intuitive process. “Developers at startups and enterprises alike are using LangChain to build generative AI apps, so a deep native integration is a must-have,” said Ed Anuff, CPO, DataStax. “The ability for developers to easily use Astra DB as their vector database of choice, directly from LangChain, streamlines the process of building the personalized AI applications that companies need. In fact, we’re already seeing customers benefit from our joint technologies as healthcare AI company, Skypoint, is using Astra DB and LangChain to power its generative AI healthcare model.” To learn more, join the live webinar on October 26 at 9am PT, where LangChain founder and CEO, Harrison Chase, and SkyPoint founder and CEO, Tisson Mathew, discuss their experience building production RAG applications. About DataStax DataStax is the company that powers generative AI applications with real-time, scalable data with production-ready vector data tools that generative AI applications need, and seamless integration with developers’ stacks of choice. The Astra DB vector database provides developers with elegant APIs, powerful real-time data pipelines, and complete ecosystem integrations to quickly build and deploy production-level AI applications. With DataStax, any enterprise can mobilize real-time data to quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, Verizon, VerSe Innovation, and many more rely on DataStax to deliver real-time AI. Learn more at DataStax.com. Apache, Apache Cassandra, and Cassandra, are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States, and/or other countries.

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