Why is Application Development Software Beneficial to Your Business?

Why Is Application Development Software Beneficial to Your Business?
Lightning-fast technological advancements have transformed our mobile devices from just a calling device to an essential business tools. As per a recent survey, the average American spends over seven hours looking at a screen daily (not including work-related use).

Whether a start-up or an established business, software apps have become a necessity for every business. According to Transparency Market Research (TMR), the global mobile app industry has the capacity to reach US$ 717 billion by 2030. As an entrepreneur, you can’t afford to ignore the business benefits of software application development.

Why Does Your Business Need Application Development Software?

Developing an inapt software application that fulfills the needs and deeds of your business is not a child’s play. It requires a staggering effort, not to mention a thorough knowledge of your entire business process.

That’s why when an employee considers the application creation process; their first instinct is to either outsource it via a third-party vendor or hire several new employees to work on it.

Fortunately, many application development software tools are available on the market that can turn anyone into an app developer.


Cut Down Your Outsourcing Expense with Application Development Software

Undoubtedly, outsourcing gets the job done, especially when the task is outside the scope of your business niche. But is it really worth the stress? Because you are essentially dependent upon a company or individual assigned to the said application making. Whereas with custom application development software, you can be as flexible as you need to cater to your specific business processes. This means no need to adjust your processes to fit the application. Additionally, you can design the features and functionality of a custom solution to meet the needs of specific users and your company’s goals.

Also, outsourcing usually results in a variety of financial expenses, such as maintenance, updates, and changes. Instead, you can empower your employees to create applications for your company by utilizing application development software. These software tools are very user-friendly, which allows your in-house team to learn how to create a useful application. This results in complete independence and cost savings. Plus, custom business apps come with intuitive analytics tools that can give you actionable insights to help make informed decisions to grow your business.

The following are some of the benefits of using application development software for your business.

Benefits of Using Application Development Software

Cost Reduction

Of course, budget or development costs are the first thing that comes to your mind while considering any new project. 

Software development would definitely reduce the license fees, cut down on resource requirements, and improve productivity. Plus, software applications are designed around your core business ideas and growth requirements. This automatically enhances your overall business ROI.


Get Rid of Training Overhead

All products/services require constant upgrades to keep up with the trend. Many businesses often rely on third-party application vendors for this. Plus, a new application requires additional staff training as well. Training is probably the biggest part of your expenses when you are looking to launch a software development project. Because a lot of the success of your project depends on the expertise and commitment of your team. A custom software solution takes all of that out of the picture.


Get an Edge Over Your Competition

Custom software applications will empower you to differentiate your business and products from competitors. It will not only increase your flexibility but boost the scalability of your business as well, helping you keep up with the ever-growing demands of the market. Plus, as these custom software apps enable you to easily integrate the changes, you can easily make changes to your active campaigns or incorporate new promotional content on the go-to stand out from your competitors.


Build Brand Awareness and Cultivate Customer Loyalty

With Facebook, Instagram ads, coupons, and email marketing—with the amount of noise out there, it is easy for businesses to lose hold of their customers. More often than not, an immense amount of advertising can easily distract your customers. The best solution is to come up with a marketing technique that can create a genuine and sincere connection with your customers. Mobile apps can create strong customer loyalty, making them loyal lovers of your services or products.

Custom software solutions streamline your business process to help boost performance and generate more revenues. On top of that, it improves customer satisfaction by catering to their demands on the go, building solid credibility for your product and/or services.


Steps to Consider

You need to do some planning to create better software that not only reflects your business ideas but also caters to your revenue targets:
  • End-to-end project planning
  • In-depth analysis
  • System designing
  • Testing and QA check
  • Implementation
  • Maintenance


Summarizing

Be it a mobile application or a website, application development software has the power to make or break your business. So, leverage your application development software to focus on your company's growth. Your business would thank you for it.

Spotlight

Amplience

Amplience is the AI Content company that brings together data, performance insights and generative AI – helping businesses deliver persuasive content for every shopping context, fueling truly personalized and connected experiences. Our integrated headless CMS and DAM support better collaboration between business and technical teams: Like the marketers and merchandisers who get unequaled agility, visibility and control, through end-to-end previews, scheduling and the ability to work in content, not code. Or the developers and architects who can build with a flexible development environment that supports monolithic, MACH and composable architectures.

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Strategic Approaches to DevOps Issue Detection and Tracking

Article | August 7, 2023

Identify strategic approaches and best practices for tracking and issue detection in DevOps to improve collaboration, streamline operations, and accelerate the delivery of high-quality software. Table of Contents 1. Executive Overview of DevOps 2. Fundamental Tenets of DevOps in Contemporary Business 3. Best Practices for High-impact DevOps Implementation 3.1 Agile Integration 3.2 Effective Use of Microservices Architecture 3.3 Enhance Container Orchestration 3.4 Embrace DevSecOps Integration 3.5 Foster Collaboration 3.6 Implement Test Automation 3.7 Incorporate Infrastructure as Code (IaC) 3.8 Adopt CI/CD 3.9 Deploy Chaos Engineering Methodology 3.10 Adopt Serverless Architecture 3.11 Version Control 3.12 Configuration Management 3.13 Application Performance Monitoring 3.14 Apply Lean Principles 3.15 Monitoring and Logging Metrics 4. Final Thoughts 1. Executive Overview of DevOps DevOps revolutionizes how software is delivered by integrating development and operations to enhance efficiency and speed. It is driven by principles like culture, automation, lean, measurement, and sharing. Successful DevOps adoption streamlines engineering departments and top management, leading to faster and simpler project completion. It's about bridging gaps between teams, focusing on continuous improvement, and connecting user feedback to development for agile market response. Adopting modern DevOps practices is critical for staying competitive, adapting swiftly to changes, attracting top talent, and building customer loyalty​​. 2. Fundamental Tenets of DevOps in Contemporary Business DevOps has emerged as a transformative force in modern business, driven by a set of core tenets that break down silos, accelerate delivery, and foster a culture of continuous improvement. The principles listed below emphasize on breaking down barriers, automation as a foundation, continuous improvement at its core, customer focus as the priority, and shared responsibility as a driving force. Automation Continuous Integration and Continuous Deployment (CI/CD) Collaboration and Communication Rapid and Reliable Delivery Monitoring and Feedback Quality and Security Scalability and Performance Optimization Agility and Flexibility Infrastructure as Code (IaC) Lean and Efficient Operations 3. Best Practices for High-impact DevOps Implementation 3.1 Agile Integration One of the most important aspects of Agile is its emphasis on continuous improvement and customer feedback. Integrating DevOps with Agile enhances value-delivery and streamline workflows, focusing on quick, iterative development and adaptive planning. Agile prioritizes incremental and iterative product delivery, allowing teams to maintain the flexibility and agility for responding to and incorporating stakeholder feedback. Agile follows these 4 core values: Prioritize people and interactions over tools and processes. Prioritize a working product over documentation. Prioritize customer collaboration over contract negotiation. Respond to changes over following a plan. 3.2 Effective Use of Microservices Architecture Being DevOps best practices in modern business, microservices architecture helps develop applications as a collection of small, independent services, and improves scalability and flexibility in development. This modularity allows for easier updates and maintenance, thus smoothening a faster delivery process and improved quality. Microservices enhance the dependability and robustness of systems by enabling the isolation and resolution of service failures without impacting the entire system. Container orchestration with microservices offers fine-grained environments for execution andthe ability to combine various application components into a single instance of an operating system. Microservices, containers, and orchestrators are an ideal complement to one another. 3.3 Enhance Container Orchestration Orchestration manages the lifecycle of containers using DevOps tools for issue detection like Kubernetes, providing automated deployment and scaling. It automates container scheduling, deployment, scalability, load balancing, availability, and networking. Docker introduced a paradigm shift towards distributed operating systems, streamlined software deployment processes, and enabled dependable application execution across diverse computing environments. By automating the deployment of multiple containers used to implement an application, this can be achieved more efficiently. The term used to describe this form of automation is orchestration. It is frequently employed to administer multiple containers through orchestration tools. In addition to mediating between applications or services and container runtimes, container orchestration manages resources, schedules and provides services. This ultimately helps handle the complexities of managing large deployments and reducing manual overhead. It automates provisioning, deployment, networking, scaling, and lifecycle management. 3.4 Embrace DevSecOps Integration Security practices in DevSecOps culture includes automated security checks for software security. It is an approach to automation that integrates security as a shared responsibility throughout the lifecycle entails DevSecOps. Password storage in private repositories for automation is on the decline due to the increasing threats with the development of technology. Therefore,implementing secure internal networks to isolate and track problems in CI/CD workflows is commendable for best strategy for implementing DevOps. One way to restrict exposure to hazards and enforce 'the principle of least privilege'is by utilizing VPNs, robust two-factor authentication, and identity and access management systems. 3.5 Foster Collaboration Encouraging open communication and teamwork across departments, fosters a healthy collaboration, and leads to efficient problem-solving and innovation. Cross-functional collaboration is essential for providing feedback loops and continuously improving work. This improves productivity and reliability. The primary objective of collaboration is to enable a sense of shared responsibility among development and operations teams. Embracing failure and continuous feedback can lead to a transparent and visible environment. Constant monitoring, measuring, and analyzing the software delivery facilitates iterative improvement. 3.6 Implement Test Automation One of the DevOps implementation best practices, this methodology combines operations and development operations in a single cycle. All parties involved in the software development process, including operations, quality assurance, and development, must work closely together. Testing enables constant monitoring of applications and infrastructure while providing feedback to improve development and operational activities. DevOps must establish a mature framework for automated testing that facilitates the programming of test cases. It is advised to start with simple, repetitive tasks and gradually expand coverage to build automation flows efficiently. Each test case should be limited in complexity for easy troubleshooting and built as independent, reusable components to minimize creation time and enhance efficiency. Maintaining separate, self-contained automated test cases also facilitates parallel execution across different environments. 3.7 Incorporate Infrastructure as Code (IaC) IaC helpsto recreate an exact environment subsequent to deployment due to the necessity of updating the systems it interacts with. It manages and provisions infrastructure through code, bringing speed and consistency to the whole environment setup.By eliminating the needfor manual infrastructure management, IaC mitigates the possibility of human error. Instead of relying on engineers to recall previous configurations or respond to failures, the entire system is composed of code and governed by thesource control system.Infrastructure as Code has further decreased cloud expenditures through the implementation of auto-scaling capabilities. 3.8 Adopt CI/CD Continuous Integration is a development methodology that enables programmers to commit changes to a shared repository multiple times daily. Automated builds are utilized to validate the code. This helps the team in the early stages of development in DevOps issue detection and promptly resolving them. It streamlines the software development process by enabling more frequent and reliable updates through regular integration and testing of code. This leads to the early detection of issues and ensures high-quality outputs. Moreover, CI/CD promotes better collaboration among developers and accelerates the feedback loop from users. This is crucial for rapid adaptation to market needs. The automation of deployment processes further reduces errors and saves time, enhancing overall efficiency in software development. 3.9 Deploy Chaos Engineering Methodology Chaos engineering is an approach that aims to enhance the dependability of a system by deliberately introducing failures and atypical situations. Chaos engineers intentionally break the system under controlled conditions to gain a deeper understanding of its vulnerabilities and rectify them before the occurrence of significant problems. Chaos engineering integration into DevOps pipelines enables fault-tolerance and resilience testing to be executed. This helps to identify and address potential system vulnerabilities during the early phases of development. This reduces the time and resources required to resolve and detect DevOps issues after the product has been released. Incorporating chaos experiments into the CI/CD pipeline promotes a culture of ongoing development and knowledge acquisition by enabling teams to promptly observe the consequences of code modifications on the system's overall stability. 3.10 Adopt Serverless Architecture The serverless model allows users to build and run applications and services without managing servers, resulting in one of the DevOps deployment best practices. All infrastructure management tasks are eliminated by this method. These tasks include cluster provisioning, patching, operating system maintenance, and capacity provisioning. Developers are only responsible for bundling their code into containers for deployment. Adopting serverless computing enables developers to delegate the critical tasks of provisioning servers and managing resources to a cloud provider, focusing instead on deploying their code. This strategic approach to DevOps lets the provider automatically manage scalability and resource allocation. Also, it lets them adapt to varying demands efficiently. Function-as-a-Service (FaaS) concept is central to serverless computing, which plays a pivotal role in its functionality. With serverless architectures, developers enjoy enhanced flexibility and accelerated time to release. 3.11 Version Control It is a mechanism that monitors the advancement of code throughout the software development lifecycle and its numerous iterations. Version control assists in change management by maintaining a record of each modification, including authorship, timestamp, and additional pertinent information. Investing in software version enables DevOps teams to improve collaboration among teams. With this, it enables enhanced efficiency in their work. By enabling teams to monitor modifications made to the code base, version control systems facilitate effective collaboration and expedite error resolution. In addition, version management paves the way for deployment of new features and upgrades. Additionally, it guarantees system stability and diminishes the probability of errors that may result in system outages. These systems facilitate the automation of processes by development teams, thereby increasing the speed and efficiency of repetitive activities such as testing, constructing, and deploying. 3.12 Configuration Management Multiple environments are necessary for each phase of the development process. These include unit testing, integration testing, acceptance testing, traffic testing, system testing, and end-user testing. The complexity of these environments escalates as the DevOps testing strategy progresses toward pre-production and production settings. Automated configuration management guarantees that these environments are configured optimally. Inadequate configuration management in DevOps may lead to system outages, data leaks, and breaches. It's also worth noting that bad environments make for improper, incomplete, and shallow tests. 3.13 Application Performance Monitoring Monitoring application performance within the DevOps framework is critical, as it enables the detection and resolution of problems before they can affect the overall system's performance. Although the objective is comparable to that of network performance monitoring (NPM), there are significant distinctions between the two methodologies that render them equally valuable to implement. System and application performance metrics are crucial as they reveal the performance details of the application. For instance, they indicate if the system is too sluggish or if the TPS (transactions per second) SLA is being met. Additionally, they help determine if the system can handle the peak load in the live environment and how the application recovers from a stressed state to a normal state, among other things. 3.14 Apply Lean Principles Applying lean principles in DevOps is recognized as a best practice. The approach enhances efficiency and productivity in software development and delivery processes. It lays emphasis on value creation, waste reduction, and continuous improvement. It aligns seamlessly with DevOps objectives. This involves a thorough understanding of customer needs to define value accurately and then mapping the value stream to identify and eliminate non-value-adding activities. Strategizing a flow in the DevOps pipeline ensures a smooth and uninterrupted delivery process, eliminating problems in DevOps pipelines. The 'pull' system in Lean, adapted to DevOps, ensures that development aligns with customer demand. 3.15 Monitoring and Logging Metrics Organizations analyze logs and metrics to determine how application and infrastructure performance affects the end-user experience of a product. By documenting, categorizing, and analyzing data and records produced by infrastructure and applications, organizations can gain insights into the effects of updates or modifications on users. This facilitates the identification of the underlying factors contributing to issues or unforeseen changes. Active DevOps monitoring strategies become more critical as the frequency of application and infrastructure updates rises, and services must be accessible around the clock. Implementing real-time analysis or setting up alerts for this data enables organizations to monitor their services more proactively. 4. Final Thoughts Looking ahead, the future of DevOps promises even greater innovation and efficiency gains. We can anticipate the continued evolution of automation tools, machine learning, and artificial intelligence to optimize further and accelerate software delivery pipelines. Additionally, incorporating security practices in DevOps culture will enable DevOps to become increasingly vital in safeguarding digital assets. The importance of DevOps in achieving streamlined operations cannot be overstated. By reducing manual interventions, businesses can deliver high-quality software consistently. Fostering collaboration helps them respond to market changes rapidly and ultimately improve customer satisfaction. Moreover, reduced operational costs, faster time-to-market, and increased revenue potential all contribute to a significant ROI.

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Software, Future Tech, Application Development Platform

From Development to Deployment: End-to-End DevOps Automation

Article | August 16, 2023

The seamless journey of DevOps automation in this article, from development to deployment leads to improved revenue, where efficiency meets excellence from initial development to seamless deployment. Contents 1. The Significance of Streamlining Development to Deployment 2. How Key Strategies for DevOps Success Elevate Revenue Generation? 3. Automating Development 3.1. Continuous Integration (CI) Essentials 3.2. Streamlining Continuous Deployment and Delivery (CD) 3.3. Efficient Version Control 4. Configuration Management 4.1. Role-based Configurations in DevOps 4.2. Dynamic Configuration Management (DCM) 5. Top Providers for DevOps Security and Collaboration 5.1. HackerOne 5.2. Teamwork 5.3. Embrace 5.4. Instabug 5.5. Nulab 5.6. Sonar 5.7. LogicMonitor 5.8. JetBrains 5.9. Perforce Software 5.10. Sentry 6. Exploring Emerging Technologies in DevOps Deployment without DevOps is characterized by a traditional, often siloed approach, typically following a linear and sequential 'waterfall' model. Development and operations teams, in such cases, work independently then lead to limited collaboration and communication. The process involves manual handovers, often with insufficient knowledge transfer, resulting in longer release cycles, making deployments riskier and more error-prone due to the bundling of numerous changes. Additionally, the feedback loop is limited, causing delays in implementing user or operational feedback. This is where streamlined deployment comes into the picture. For Example, Etsy, which grew at a regular pace, following the traditional waterfall approach, achieved 80 releases a day rather than deploying code twice a week, post-DevOps integration. 1. The Significance of Streamlining Development to Deployment The previously occurring Integration Issues can now be avoided by shifting the model to DevOps.For example, aligning and integrating the front and backend error-free is no longer tedious. Each developer has their local setup which can cause the infamous 'it works on my machine' syndrome when the code fails to run in different environments. This, ultimately, streamlines the end-to-end DevOps automation process flow. The traditional workflows, often lacking continuous testing and detection of errors, will eliminate costly delays and rework. Collaborating on code, especially in large teams, became a hassle with no shared tools or platforms. While DevOps management platforms enable teams tocollaborate and work together, DevOps collaboration tools and technologies manage work, improve team communication, and share expertise. The market size for custom software development was valued at $388.98 billion in 2020 and is expected to grow to $650.13 billion by 2025. 2. How Key Strategies for DevOps Success Elevate Revenue Generation? An effective DevOps approach prioritizes customers. Focusing on strong software justifies extended development and release timelines. It also ignores the most important factor: software users. Consumers want a good product that solves their problem rather than the process. A good DevOps approach puts the team in the customer's shoes. While 22% of rework time is minimized with DevOps practices, the deployment frequency of firms with DevOps as compared to those without DevOps is a whopping 200 times. Adit Modi, Cloud Architect and Community Leader at Digital Alpha reported that he saw a whopping 30% increase in developer productivity within the first month in a startup. Continuous Integration A robust approach for automating development operations is CI. CI automates code build and change integration. An end-to-end DevOps automation implementation method emphasizes fast, automated systems. Continuous integration lets developers integrate code more often and create and merge code. Implementing CI saves a lot of time in development. It reduces regression bug-resolving time while promoting code quality. A promising CI pipeline helps one understand the codebase and customer features. For example, as stated in Netflix Technology Blog, Titus is Netflix’s infrastructural foundation for container-based applications. It provides Netflix scale cluster, resource management, and container execution with deep Amazon EC2 integration as well as common Netflix infrastructure enablement. Infrastructure-as-a-code and Automation IaC is a compelling way to automate IT infrastructure management, provisioning, and configuration. Maintaining ideal infrastructure is the fundamental goal of IaC. Infrastructure-as-a-code practices in DevOps are utilized to administer the server, storage, and networking infrastructure of a data center. It is designed to facilitate configuration and administration on a massive scale and automatically handles and manages steady-state deviations. Implementing a DevOps automation guide is among the best DevOps strategies for companies seeking to increase revenue as it streamlines development and operations, leading to faster deployment cycles, improved efficiency, and, ultimately, a quicker time-to-market for new and innovative services that drive sales growth. For example, Kloudspot drastically reduced development and service management time by 50% while deploying its new end-to-end DevOps automation infrastructure via an automated system. Constant Delivery and Deployment Continuous delivery (CD) helps teams build high-quality software quickly. Continuous delivery pipelines provide software on time with minimal manual intervention. CD is an effective DevOps release technique for faster software development, testing, and deployment. In an interview with Clare Liguori, Principal Software Engineer for AWS container services, she emphasized that AWS just doesn't enforce automation onto its processes and hope for the best; its automated deployment practices are carefully built, tuned, and tested based on what helps them balance their deployment safety against deployment speed. Microservice framework Microservices are compact, deployable services designed in the style of intricate applications. They are merely an iteration of the Service-Oriented Architecture (SOA) paradigm. In addition to being independent of technology, they exchange information using a variety of communication protocols. The noteworthy part is that one service does not crash or impact other parts of an application! For example, Uber's infrastructure exemplifies a commendable microservice architecture. Several thousand microservices comprise this component and communicate via remote procedure calls (RPC), as noted in their Domain-Oriented Microservice Architecture blog. 3. Automating Development Automated ecosystem orchestration is becoming increasingly important due to the proliferation of Kubernetes architectures, which have transcended the human capacity for management. Continuous integration and deployment are executed in four phases by the CI/CD pipeline: source, build, test, and deploy. Automation in DevOps is mission-critical to an organization’s ability to keep pace with customers and the rapidly changing market. Reducing toil and minimizing toolchain complexity through automation enables developers to focus on what they do best, delivering innovation that drives value for the business. - Hilliary Lipsig, Principal Site Reliability Engineer, RedHat 3.1. Continuous Integration (CI) Essentials A non-CI environment's communication overhead can result in an intricate and entangled synchronization task, thereby increasing project bureaucratic expenses unnecessarily. The manual coordination encompasses operations, the remainder of the organization, and the development teams. CI facilitates the expansion of engineering teams' headcount and output. By integrating CI,software developers are empowered to independently develop features in parallel. Product and engineering communication can be extraordinarily cumbersome. Continuous integration enables this engineering to estimate delivery times for requests when the risk associated with integrating new changes is uncertain. Thereby, CI helps quicken delayed code releases and minimize failure rates. The essentials for an efficient functional CI are: Automate tests to run for every change to the main repository. Run tests on every branch of the repository rather than just focusing on the main branch. Ensure that every feature that gets developed has automated tests. Get a CI service to run those tests automatically on every push to the main repository. Integrate changes regularly. Establish security early in pipelines before building artifacts or deploying. Scan built container images for vulnerabilities with vulnerability scanning for artifact analysis. Implement linting and static code analysis early in pipeline to avoid weaknesses like accepting raw inputs. Use binary authorization to prevent images that contain vulnerabilities from being deployed to clusters. Create pipelines to enable rapid iteration. Ideally, CI pipelines should run in less than 10 minutes. 3.2. Streamlining Continuous Deployment and Delivery (CD) Use GitOps methodology to review changes before they are deployed through merge or pull requests and help in recovery through snapshots in case of failure. Promote, rather than rebuild container images, to avoid minor differences across code branches. Consider using more advanced deployment and testing patterns according to business needs. These include Recreating a deployment, Rolling update deployment, and blue-green deployment. Use Separate clusters for different environments like development environments, pre-production environments (Staging or QA) and production environments. Keep pre-production environments close to production; while pre-production clusters should ideally be identical to production clusters, they can be scaled-down replicas for cost considerations. Implement a clearly defined rollback strategy to address any substantial issues that may arise throughout the deployment process, enabling users to swiftly revert to the previous version, thereby reducing the likelihood of any adverse effects. 3.3. Efficient Version Control Teams typically face these challenges when adopting CI/CD: Conflicts due to manual testing Downtime risk Inefficient resource utilization Kubernetes has the capability to resolve these issues. In a CI/CD pipeline, it decreases the time and effort necessary to develop and deploy applications. The model's effective resource management increases hardware utilization, automates management procedures, and decreases customer-detrimental disruptions. Cluster management, orchestrate deployment and provisioning, and declarative constructs are some specializations performed by Kubernetes. Efficient version control is demonstrated by Kubernetes through the below mentioned techniques: Kubernetes packages applications and their dependenciesthroughcontainers. Enabling consistent versioning of applications, this practice standardizes environments throughout development, testing, and production. DevOps delivery infrastructure considerations are minimized with Kubernetes, which also enhances application resiliency, automation, and scalability. Incorporating version control directly into the deployment process, Kubernetes enables the automated deployment of new application versions and permits a rollback to previous versions ifissues are raised. Kubernetes provides support for a range of deployment strategies, including blue-green and canary deployments. This support enables the gradual rollout and testing of new versions while ensuring the continuity of service. 4. Configuration Management Unit testing, integration testing, acceptance testing, load testing, system testing, and end-user testing are all critical components of a development infrastructure. As testing advances production environments, the complexity of these environments escalates. The role of automation in DevOps ensures that these environments are configured optimally through configuration management. DevOps configuration management automates routine maintenance tasks and frees up development time for the actual programming. 4.1. Role-based Configurations in DevOps Role-based configuration management in DevOps plays a significant role in managing infrastructure updates and creating organized systems. Roles, for example, bundle and organize automation tasks and configurations in a reusable manner, making it easier to handle complex workflows. These roles promote teamwork and efficiency in development​​. Role-based configurations are a sophisticated strategy for delineating access and operational privileges within the CI/CD pipeline tailored to the specific responsibilities of team members. This paradigm leverages identity and access management protocols to automate the enforcement of security policies, reducing the risk of unauthorized changes that lead to system vulnerabilities or compliance breaches. Organizations can create a more secure, stable, and efficient delivery environment by employing a granular control mechanism. As a result, this facilitates a higher caliber of software releases, optimized resource allocation, and an acceleration in delivering value to customers, which in turn can drive revenue growth and competitive advantage. 4.2. Dynamic Configuration Management (DCM) DCM addresses the entire lifecycle of an application. Top organizations implement dynamic configuration management because they recognize its criticality in enterprise-grade platforms. It addresses the limitations of static configuration management, which may hinder developer and Ops productivity. DCM uses a workload specification to create configurations, reducing the number of configuration files needed and simplifying the deployment process. This approach can significantly reduce configuration file numbers, improving overall business performance​​​​​​​​​​​​. For example, an app with ten services and dependencies is deployed across four environments. Assuming an organization deploys three times a day every 21 working days, a typical cloud native setup would be 300 to 600 configuration files with up to 30,000 versions a month. That is up to 95% fewer files than the static approach. 5. Top Providers for DevOps Security and Collaboration 5.1. HackerOne Being the frontrunner in human-powered security, HackerOne outperforms cybercriminals, employing human ingenuity to identify the most critical security vulnerabilities across any attack surface. Integrating cutting-edge artificial intelligence with innovative human intelligence, HackerOne's Attack Resistance Platform mitigates risk throughout the software development lifecycle. Facilitating the identification of novel and illusive vulnerabilities via bug bounties ensures that organizations meet compliance requirements through penetration testing. HackerOne's elite community of ethical hackers empowers businesses to transform themselves confidently. 5.2. Teamwork Teamwork provides a platform that combines user-friendly project administration with industry-leading client operations, which teams adore. It helps you deliver work on time and budget, eliminate client chaos, and understand profitability all in one platform. It provides a single solution for all client operations challenges. Delivering profitable projects, streamlining client operations, and delighting clients help optimize the recurring revenue from retainers. Teamwork.com integrates all the tools a company uses, hence making the company more accessible to manage all in one place. 5.3. Embrace The organization develops and defines a performance management platform for mobile applications that aid in the detection and resolution of any user-impacting problems that may arise within the applications. The mobile environment presents mobile teams with a singular challenge:they must now consider the infinite variety of user and environmental variables across millions of autonomous devices. Embraceliberates the value by ingesting one hundred percent of the time-based technical and user behavior session data.With the help of Embrace, product and engineeringteamshave access to real-time observability while marketing and BI benefit from automated analysis of transformed and usable datasets. 5.4. Instabug Instabug provides a mobile application performance monitoring (APM) platform, offering advanced services that enhance app performance and user experience. It features efficient bug and crash reporting systems, which help quickly identify and resolve app issues, ensuring stability and user trust. With a robust infrastructure supporting over two billion devices, Instabug ensures scalability and reliability. Its simple SDK integration and full visual reproduction tailored for mobile app development challenges make it an essential tool for developers focused on optimizing app functionality and user satisfaction. 5.5. Nulab Nulab is an expanding software company that provides teams of all sizes with online collaboration tools. It places a premium on forward-thinking, collaboration, and trust as an organization to unite groups through technology securely. Its platform provides project management, version control, and bug tracking. Providing Integrated tools to support collaboration at every stage helps in tracking real-time progress. Nulab provides solutions from UX & DEsign to marketing and Quality assurance to plan and strategize beforehand. 5.6. Sonar One of the DevOps security providers, Sonar's market-leading solution empowers development teams and developers to write clean code and automatically remediate existing code, allowing them to concentrate on their favorite tasks and increase the value they deliver to organizations. Its commercial and open-source solutions are compatible with thirty programming languages. SonarLint is a complimentary IDE extension that preventscoding errors. SonarCloud provides straightforward resolution guidance for any Code Quality or Security issue it detects and integrates with existing cloud-based CI/CD workflows. SonarQube is the preeminent instrument developed teams utilize to audit their codebases' code quality and security in real-time and provide direction during code reviews. 5.7. LogicMonitor LogicMonitor's developments demonstrate the company's dedication to a unified monitoring experience based on layered intelligence and hybrid observability. These innovations aim to proactively enhance IT infrastructure and avert issues through quick-to-deploy, SaaS-based automated tools for infrastructure, applications, and business services, focusing on innovation and reducing remediation. A notable advancement is integrating Airbrake error monitoring with LogicMonitor, enabling streamlined usage of both platforms via a single interface. The combined capabilities of LogicMonitor and Airbrake improve visibility and control in IT environment monitoring and management, marking substantial progress in IT operations optimization. 5.8. JetBrains JetBrains core is coding, with its mission to create the most robust and efficient developer tools available. Its tools accelerate production by automating routine checks and corrections, allowing developers more time to develop, explore, and innovate. Regardless of the size of any team, its products provide a seamless experience throughout the process of code development, work planning, and collaboration. YouTrack, a developer tool of JetBrains, is a project management tool that helps deliver efficient products, use agile boards, assist in planning sprints and releases, maintain a strong knowledge base, work with reports and dashboards, and create workflows that follow business processes. 5.9. Perforce Software Perforce Software is an industry leader in DevOps and development solutions that are scalable and optimized to facilitate intelligent testing, dynamic growth, boundaryless collaboration, and risk management. It collaborates with businesses to reduce risk and accelerate time to market in environments where failure has a high cost. Its global specialists provide companies in various industries like automotive, semiconductor, financial services, game development, virtual production, and amusement. Its primary objective is to facilitate solutions that enable its clients to generate innovations rapidly and on a large scale. Perforce is mainly concerned with scalable DevOps by eliminating obstacles to collaboration and productivity. 5.10. Sentry Sentry's performance monitoring eliminates the need for developers to speculate to identify the source of application performance bottlenecks. Rather than delving into performance metrics, Sentry provides the precise lines of code that impede the performance of applications, allowing us to locate the underlying cause. It helps enable notifications before most businesses' users are impacted by performance issues to identify, designate, and resolve within the workflow. It consolidates runtime errors and mobile application malfunction reporting into a single view and provides a real-time, comprehensive assessment of the application's health. By associating errors with releases, identifiers, and devices, one can efficiently resolve issues, reduce customer attrition, and enhance user retention. 6. Exploring Emerging Technologies in DevOps The future of end-to-end DevOps automation promises even greater innovation and efficiency gains. We can anticipate the continued evolution of automation tools, machine learning, and artificial intelligence to optimize further and accelerate software delivery pipelines. Additionally, by incorporating security as a core DevOps principle, DevSecOps will become increasingly vital in safeguarding digital assets. The importance of DevOps’ latest technologies in achieving streamlined operations cannot be overstated. By reducing manual interventions and fostering collaboration, businesses can consistently deliver high-quality software, respond rapidly to market changes, and ultimately enhance customer satisfaction. Moreover, the impact on ROI is substantial, with reduced operational costs, faster time-to-market, and increased revenue potential.

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Software, Future Tech, Application Development Platform

Empowering Industry 4.0 with Artificial Intelligence

Article | July 24, 2023

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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How Artificial Intelligence Is Transforming Businesses

Article | February 12, 2020

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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Spotlight

Amplience

Amplience is the AI Content company that brings together data, performance insights and generative AI – helping businesses deliver persuasive content for every shopping context, fueling truly personalized and connected experiences. Our integrated headless CMS and DAM support better collaboration between business and technical teams: Like the marketers and merchandisers who get unequaled agility, visibility and control, through end-to-end previews, scheduling and the ability to work in content, not code. Or the developers and architects who can build with a flexible development environment that supports monolithic, MACH and composable architectures.

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Software

ON24 Unveils its Next Generation Platform, Unleashing a New Era of AI-powered Intelligent Engagement

ON24 | January 24, 2024

Today, ON24 marks the next chapter of its innovation strategy with the launch of its next generation intelligent engagement platform. With AI-powered intelligence at the core, ON24 will now enable enterprises to continuously engage audiences through hyper-personalized experiences that deliver connected insights and drive cost-efficient revenue growth. “AI will fundamentally reshape sales and marketing and reimagine the customer experience. This means that sales and marketing teams must embrace AI to innovate and adapt, or risk being left behind,” says Sharat Sharan, co-founder, President and CEO. “With the launch of the ON24 Intelligent Engagement Platform, we are excited to leverage our unique foundation of first-party data to give our industry-leading customers an AI advantage, so that they can combine best-in-class experiences, personalization and content, to capture and act on connected data and insights at scale to drive revenue growth. And, we believe AI will continue to be a key differentiation for our own business and technology strategy moving forward, powering a new era of intelligent engagement.” Built on its foundation of first-party data, the ON24 Intelligent Engagement Platform combines best-in-class digital experiences, including the company’s flagship webinar, virtual event and content marketing products, with its new AI-powered Analytics and Content Engine (ACE) to provide an integrated go-to-market solution. The platform’s comprehensive set of capabilities will help sales and marketing teams to: Scale personalized experiences: Build best-in-class, branded experiences that reach their prospects and customers at scale and are hyper-personalized for individuals. Automate continuous engagement: Interact with prospects and customers 24/7 through AI-generated content and always-on nurtures. Deliver connected insights: Track audience engagement data across interactions and analyze engagement across key audience segments. Drive revenue growth: Enable data-driven actions across go-to-market teams to generate pipeline and build lifetime customer relationships. “Today’s launch of the ON24 Intelligent Engagement Platform brings our AI innovation together with more than a decade of market leadership, product development and first-party engagement data,” said Jayesh Sahasi, EVP of Product and CTO at ON24. “We believe this will unlock even greater value for our customers, providing AI-powered intelligence that keeps getting smarter, more personalized and more effective over time." ​​About ON24 ON24 is on a mission to help businesses bring their go-to-market strategy into the AI era and drive cost-effective revenue growth. Through its leading intelligent engagement platform, ON24 enables customers to combine best-in-class experiences with personalization and content, to capture and act on connected insights at scale. ON24 provides industry-leading companies, including 3 of the 5 largest global technology companies, 3 of the 5 top global asset management firms, 3 of the 5 largest global healthcare companies and 3 of the 5 largest global industrial companies, with a valuable source of first-party data to drive sales and marketing innovation, improve efficiency and increase business results. Headquartered in San Francisco, ON24 has offices globally in North America, EMEA and APAC. For more information, visit www.ON24.com.

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AI Tech

PSPDFKit Leads the AI Revolution in Intelligent Document Processing with Release of XtractFlow

PSPDFKit | January 23, 2024

PSPDFKit, a leading document processing and manipulation platform, announces the release of XtractFlow – a groundbreaking intelligent document processing (IDP) engine powered by generative AI. XtractFlow provides advanced automation for large-scale document classification and data extraction across a broad range of formats, with human-level accuracy. Due to the vast and varied document landscape, traditional IDP platforms are inefficient to run, requiring more resources, time and complex processes. Developers and automation project managers may require several days for setup and deployment of document classification, as well as face complexities with data extraction workflows when working with a broad range of formats in order to achieve high levels of accuracy. This is exacerbated by the limitation of using templates and pre-set patterns to extract data. XtractFlow addresses these challenges by simplifying setup and deployment to a single day and using generative AI from OpenAI and Azure in the first release to intelligently identify the document format, classify the types of documents co-mingled in unstructured storage, and consistently extract data, regardless of its location in the document, with human-level accuracy. AI-Powered Features Supports Hundreds of Formats XtractFlow efficiently extracts data from hundreds of document formats, including PDF, JPEG, Office and CAD files, regardless of document complexity. Automate Document Classification With minimal setup, XtractFlow automatically categorizes documents including contracts, legal filings, lab reports, bank statements and more, in high-volume workflows. Developers can easily customize deployment with either the XtractFlow SDK or API. Extract Data Accurately and Effortlessly XtractFlow effortlessly interprets and retrieves the data users need, avoiding extensive coding and the strict rules for data extraction with a no-code approach, and enables a natural-language experience for the end users. "We've always felt we could go far beyond traditional IDP technology — more accuracy and more intelligence — along with less work spent setting and tuning it for specific workflows," says Miloš Đekić, Vice President of Product Management at PSPDFKit. "Generative AI has enabled us to deliver XtractFlow and bring human-level accuracy to document classification and data extraction in a way that significantly accelerates time to value for our customers." XtractFlow supports PSPDFKit customer data security standards with a strict non-storage policy and aligns with global data retention standards, ensuring integrity and security at every step of your applications and business processes. About PSPDFKit PSPDFKit is helping the world innovate beyond paper with its developer tools, API services, and low-code solutions covering the entire document lifecycle from creation, manipulation, real-time collaboration, signing and markup. The company's products cover all major platforms and support a wide range of programming languages and can be deployed on-premise or in the cloud with ease and at any scale. PSPDFKit has earned its developer first reputation by pioneering products that are easily integrated, completely customizable to fit any deployment and workflow, and trusted by startups, SMBs and some of the largest multinational enterprises.

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General AI

New SysAid Copilot counters ineffective chatbot deployments with next-gen, generative AI-powered IT Service Management

SysAid | January 12, 2024

SysAid, a leading provider of IT and Enterprise Service Management solutions, proudly announces the commencement of an exciting new chapter with the commercial release of SysAid Copilot, designed to liberate organizations by putting AI to work, for them and their people. At the core of SysAid Copilot is the AI Chatbot for End Users delivering always-on, 24/7 service. This conversational self-service experience uses generative AI to help employees work through issues by delivering answers, utilizing the organization's data, from knowledge base articles through ticket resolution history – as well as verified external data sources, links, and documents. Combating ineffective virtual agent deployment According to Gartner, "Staffing an IT service desk is difficult and a considerable expense. Long phone queues and abandoned calls are not uncommon. Yet, many I&O leaders have experienced issues with the implementation and adoption of virtual support agents, which are aimed at alleviating some of these challenges." One of the main factors attributed to these issues is that initial deployments of chatbots were ineffective[1]. With no code zero setup required, SysAid Copilot comes with a feature set designed to counter the potential pitfalls arising from sub-optimal deployment of traditional virtual support agents. The AI Usage Dashboard clearly reflects the value provided to both admins and end users through usage of SysAid Copilot features. For example, adoption of the AI Chatbot for End Users and Assistive AI features for admins. It also offers insights into AI-contained issues, indicating the rate at which problems were automatically resolved by SysAid Copilot using the organization's data and averting the need for ticket creation. In parallel, admins maintain ultimate control over the quality of responses with the ability to monitor, edit, and fine-tune answers provided by the AI Chatbot enabled by a Monitor and Fine-Tune feature. AI Author enables the provision of consistently professional service by rephrasing replies, elaborating on answers, and breaking down information into simple steps with responses that are comprehensible and accessible for employees. This also exempts admins from the need to grapple with wording and grammar. Embedded into the channels that employees already use, SysAid Copilot facilitates quick adoption within the organization. For example, employees get service in a single click from the AI Chatbot (one-click ticket creation) or automatically via the AI Emailbot, delivering an immediate response even before an admin sees the ticket. Increasing productivity SysAid Copilot leverages cutting-edge generative AI technology, elevating admins to play a strategic role in the organization and improving IT productivity by over 20%. "The release of SysAid Copilot is a momentous milestone in our quest to lead organizations on a transformative journey toward AI-driven organizational processes and excellence," said Avi Kedmi, SysAid CEO. "Tapping into specialized data accumulated from thousands of customers and millions of users, SysAid Copilot enables employees to enjoy a fully conversational experience, freeing up admins to focus on more strategic work and become the catalyst for organizational productivity. SysAid Copilot orchestrates service management across the organization, embodying our commitment to infusing intelligence and ease into the workday, reshaping the landscape of service management. And this is only the beginning, as our dynamic roadmap promises a steady stream of groundbreaking features and capabilities ahead, ensuring the success of our customers." The General Availability of SysAid Copilot follows a 5-month design partner and beta program in which a diverse and engaged group of active customers played a pivotal role in refining and enhancing the product. The dedication and enthusiasm of the beta partners have been instrumental in shaping the product and ensuring that it is finely tuned to address the unique needs of SysAid's customer community, not only meeting but exceeding their expectations. Enhancing CSAT scores and slashing MTTR SysAid Copilot includes AI Intelligent Categorization automatically categorizing tickets submitted via the AI Chatbot for End Users and routes to the right people while making suggestions for more appropriate categories for tickets that come in through other channels, reducing human error in ticket categorizations by ~40%. In parallel, AI Case Summarization provides admins with a real-time summarization of the ticket content and employee sentiment (AI Emotion) so admins can understand the context, history, and end-user sentiment at a glance. "SysAid Copilot has helped our organization a great deal in providing support quicker. Since our department is oftentimes understaffed, wait times are higher than normal, and with SysAid Copilot we've witnessed those wait times plummeting," said Nathan Gleed, IT at the City of St George. "One of the most amazing aspects of this new technology is its continual learning, consistently improving performance and generating more accurate and sophisticated output." About SysAid SysAid is on a mission to liberate organizations by putting AI to work for them and their people. We orchestrate service management across organizations with generative AI that taps into specialized data accumulated from thousands of customers and millions of users. With zero setup requirements, our conversational AI manages employees' requests, assists with queries, and accelerates the resolution of issues. With intelligence and ease infused into the workday, productivity thrives so that employees can focus on what they're meant to do, and organizations are free to fulfill their purpose. With over 5,000 customers, SysAid partners with organizations ranging from small businesses to Fortune 500 enterprises across 140 countries. For more information, please visit www.sysaid.com

Read More

Software

ON24 Unveils its Next Generation Platform, Unleashing a New Era of AI-powered Intelligent Engagement

ON24 | January 24, 2024

Today, ON24 marks the next chapter of its innovation strategy with the launch of its next generation intelligent engagement platform. With AI-powered intelligence at the core, ON24 will now enable enterprises to continuously engage audiences through hyper-personalized experiences that deliver connected insights and drive cost-efficient revenue growth. “AI will fundamentally reshape sales and marketing and reimagine the customer experience. This means that sales and marketing teams must embrace AI to innovate and adapt, or risk being left behind,” says Sharat Sharan, co-founder, President and CEO. “With the launch of the ON24 Intelligent Engagement Platform, we are excited to leverage our unique foundation of first-party data to give our industry-leading customers an AI advantage, so that they can combine best-in-class experiences, personalization and content, to capture and act on connected data and insights at scale to drive revenue growth. And, we believe AI will continue to be a key differentiation for our own business and technology strategy moving forward, powering a new era of intelligent engagement.” Built on its foundation of first-party data, the ON24 Intelligent Engagement Platform combines best-in-class digital experiences, including the company’s flagship webinar, virtual event and content marketing products, with its new AI-powered Analytics and Content Engine (ACE) to provide an integrated go-to-market solution. The platform’s comprehensive set of capabilities will help sales and marketing teams to: Scale personalized experiences: Build best-in-class, branded experiences that reach their prospects and customers at scale and are hyper-personalized for individuals. Automate continuous engagement: Interact with prospects and customers 24/7 through AI-generated content and always-on nurtures. Deliver connected insights: Track audience engagement data across interactions and analyze engagement across key audience segments. Drive revenue growth: Enable data-driven actions across go-to-market teams to generate pipeline and build lifetime customer relationships. “Today’s launch of the ON24 Intelligent Engagement Platform brings our AI innovation together with more than a decade of market leadership, product development and first-party engagement data,” said Jayesh Sahasi, EVP of Product and CTO at ON24. “We believe this will unlock even greater value for our customers, providing AI-powered intelligence that keeps getting smarter, more personalized and more effective over time." ​​About ON24 ON24 is on a mission to help businesses bring their go-to-market strategy into the AI era and drive cost-effective revenue growth. Through its leading intelligent engagement platform, ON24 enables customers to combine best-in-class experiences with personalization and content, to capture and act on connected insights at scale. ON24 provides industry-leading companies, including 3 of the 5 largest global technology companies, 3 of the 5 top global asset management firms, 3 of the 5 largest global healthcare companies and 3 of the 5 largest global industrial companies, with a valuable source of first-party data to drive sales and marketing innovation, improve efficiency and increase business results. Headquartered in San Francisco, ON24 has offices globally in North America, EMEA and APAC. For more information, visit www.ON24.com.

Read More

AI Tech

PSPDFKit Leads the AI Revolution in Intelligent Document Processing with Release of XtractFlow

PSPDFKit | January 23, 2024

PSPDFKit, a leading document processing and manipulation platform, announces the release of XtractFlow – a groundbreaking intelligent document processing (IDP) engine powered by generative AI. XtractFlow provides advanced automation for large-scale document classification and data extraction across a broad range of formats, with human-level accuracy. Due to the vast and varied document landscape, traditional IDP platforms are inefficient to run, requiring more resources, time and complex processes. Developers and automation project managers may require several days for setup and deployment of document classification, as well as face complexities with data extraction workflows when working with a broad range of formats in order to achieve high levels of accuracy. This is exacerbated by the limitation of using templates and pre-set patterns to extract data. XtractFlow addresses these challenges by simplifying setup and deployment to a single day and using generative AI from OpenAI and Azure in the first release to intelligently identify the document format, classify the types of documents co-mingled in unstructured storage, and consistently extract data, regardless of its location in the document, with human-level accuracy. AI-Powered Features Supports Hundreds of Formats XtractFlow efficiently extracts data from hundreds of document formats, including PDF, JPEG, Office and CAD files, regardless of document complexity. Automate Document Classification With minimal setup, XtractFlow automatically categorizes documents including contracts, legal filings, lab reports, bank statements and more, in high-volume workflows. Developers can easily customize deployment with either the XtractFlow SDK or API. Extract Data Accurately and Effortlessly XtractFlow effortlessly interprets and retrieves the data users need, avoiding extensive coding and the strict rules for data extraction with a no-code approach, and enables a natural-language experience for the end users. "We've always felt we could go far beyond traditional IDP technology — more accuracy and more intelligence — along with less work spent setting and tuning it for specific workflows," says Miloš Đekić, Vice President of Product Management at PSPDFKit. "Generative AI has enabled us to deliver XtractFlow and bring human-level accuracy to document classification and data extraction in a way that significantly accelerates time to value for our customers." XtractFlow supports PSPDFKit customer data security standards with a strict non-storage policy and aligns with global data retention standards, ensuring integrity and security at every step of your applications and business processes. About PSPDFKit PSPDFKit is helping the world innovate beyond paper with its developer tools, API services, and low-code solutions covering the entire document lifecycle from creation, manipulation, real-time collaboration, signing and markup. The company's products cover all major platforms and support a wide range of programming languages and can be deployed on-premise or in the cloud with ease and at any scale. PSPDFKit has earned its developer first reputation by pioneering products that are easily integrated, completely customizable to fit any deployment and workflow, and trusted by startups, SMBs and some of the largest multinational enterprises.

Read More

General AI

New SysAid Copilot counters ineffective chatbot deployments with next-gen, generative AI-powered IT Service Management

SysAid | January 12, 2024

SysAid, a leading provider of IT and Enterprise Service Management solutions, proudly announces the commencement of an exciting new chapter with the commercial release of SysAid Copilot, designed to liberate organizations by putting AI to work, for them and their people. At the core of SysAid Copilot is the AI Chatbot for End Users delivering always-on, 24/7 service. This conversational self-service experience uses generative AI to help employees work through issues by delivering answers, utilizing the organization's data, from knowledge base articles through ticket resolution history – as well as verified external data sources, links, and documents. Combating ineffective virtual agent deployment According to Gartner, "Staffing an IT service desk is difficult and a considerable expense. Long phone queues and abandoned calls are not uncommon. Yet, many I&O leaders have experienced issues with the implementation and adoption of virtual support agents, which are aimed at alleviating some of these challenges." One of the main factors attributed to these issues is that initial deployments of chatbots were ineffective[1]. With no code zero setup required, SysAid Copilot comes with a feature set designed to counter the potential pitfalls arising from sub-optimal deployment of traditional virtual support agents. The AI Usage Dashboard clearly reflects the value provided to both admins and end users through usage of SysAid Copilot features. For example, adoption of the AI Chatbot for End Users and Assistive AI features for admins. It also offers insights into AI-contained issues, indicating the rate at which problems were automatically resolved by SysAid Copilot using the organization's data and averting the need for ticket creation. In parallel, admins maintain ultimate control over the quality of responses with the ability to monitor, edit, and fine-tune answers provided by the AI Chatbot enabled by a Monitor and Fine-Tune feature. AI Author enables the provision of consistently professional service by rephrasing replies, elaborating on answers, and breaking down information into simple steps with responses that are comprehensible and accessible for employees. This also exempts admins from the need to grapple with wording and grammar. Embedded into the channels that employees already use, SysAid Copilot facilitates quick adoption within the organization. For example, employees get service in a single click from the AI Chatbot (one-click ticket creation) or automatically via the AI Emailbot, delivering an immediate response even before an admin sees the ticket. Increasing productivity SysAid Copilot leverages cutting-edge generative AI technology, elevating admins to play a strategic role in the organization and improving IT productivity by over 20%. "The release of SysAid Copilot is a momentous milestone in our quest to lead organizations on a transformative journey toward AI-driven organizational processes and excellence," said Avi Kedmi, SysAid CEO. "Tapping into specialized data accumulated from thousands of customers and millions of users, SysAid Copilot enables employees to enjoy a fully conversational experience, freeing up admins to focus on more strategic work and become the catalyst for organizational productivity. SysAid Copilot orchestrates service management across the organization, embodying our commitment to infusing intelligence and ease into the workday, reshaping the landscape of service management. And this is only the beginning, as our dynamic roadmap promises a steady stream of groundbreaking features and capabilities ahead, ensuring the success of our customers." The General Availability of SysAid Copilot follows a 5-month design partner and beta program in which a diverse and engaged group of active customers played a pivotal role in refining and enhancing the product. The dedication and enthusiasm of the beta partners have been instrumental in shaping the product and ensuring that it is finely tuned to address the unique needs of SysAid's customer community, not only meeting but exceeding their expectations. Enhancing CSAT scores and slashing MTTR SysAid Copilot includes AI Intelligent Categorization automatically categorizing tickets submitted via the AI Chatbot for End Users and routes to the right people while making suggestions for more appropriate categories for tickets that come in through other channels, reducing human error in ticket categorizations by ~40%. In parallel, AI Case Summarization provides admins with a real-time summarization of the ticket content and employee sentiment (AI Emotion) so admins can understand the context, history, and end-user sentiment at a glance. "SysAid Copilot has helped our organization a great deal in providing support quicker. Since our department is oftentimes understaffed, wait times are higher than normal, and with SysAid Copilot we've witnessed those wait times plummeting," said Nathan Gleed, IT at the City of St George. "One of the most amazing aspects of this new technology is its continual learning, consistently improving performance and generating more accurate and sophisticated output." About SysAid SysAid is on a mission to liberate organizations by putting AI to work for them and their people. We orchestrate service management across organizations with generative AI that taps into specialized data accumulated from thousands of customers and millions of users. With zero setup requirements, our conversational AI manages employees' requests, assists with queries, and accelerates the resolution of issues. With intelligence and ease infused into the workday, productivity thrives so that employees can focus on what they're meant to do, and organizations are free to fulfill their purpose. With over 5,000 customers, SysAid partners with organizations ranging from small businesses to Fortune 500 enterprises across 140 countries. For more information, please visit www.sysaid.com

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