How to Mitigate Robotic Process Automation Implementation with Low-code Development

AJINKYA BAGADE | April 22, 2020 | 790 views


Ease in doing business.” That is what every C-level execs strive to achieve in their business process and it is no secret that they’ve increasingly turned to Robotic Process Automation (RPA) to streamline enterprise operations.

The first digital computers were invented mostly to calculate tasks but as the technology progressed, we learnt to program hand-code automation through bespoke applications. What brought the RPA into existence was the slow and laborious hand-code automation.

But, as we no longer need to keep our fingers glued to systems to enter data fields and value, there exists some brittleness to the robotic process automation.

Table of Contents:
- What is Robotic Process Automation?
- What ails Robotic Process Automation?
- What is Low-Code Development?
- Why to program in a Low-Code Development environment?
- How does Low-code development help in mitigating RPA implementation?
- Concluding Thoughts

What is Robotic Process Automation?


Deloitte defines RPA as software that “automates repetitive, rules-based processes usually performed by people sitting in front of computers.” Picture your mouse automatically scanning your email for 70 new unread invoices, adding the data to a spreadsheet, and inputting information into your CRM, while sending two outliers to an employee for manual review – all within a fraction of the time it would take a person to do the same tasks and with far fewer errors. RPA workflows are established on logic-based inputs and tasks across applications for the bot to efficiently carry out manual, repetitive tasks with greater accuracy.

Additionally, by separating the uniquely human skills like critical thinking, empathy, and decision making from the manual, repetitive tasks, corporations can provide a more fulfilling and rewarding career for their employees.
Sounds great, right? Of course, it does.

That’s why it’s the fastest-growing market in enterprise software, with 48% of companies saying they are planning to invest in RPA and is projected to be worth nearly USD 4B by 2025. Corporations across industries are buying in to streamline a wide variety of operational tasks, connect legacy systems, and drastically remove errors introduced by humans.

Operations that can benefit from RPA technology include:

  • Generic office tasks – gathering quarterly cross-department data into an excel sheet, automating CRM inputs, and inventory management.

  • Back office processes – instead of five people checking for new orders and applying discounts, the tasks are reorganized so the employee is providing a human-level of validation to the order.

  • Manufacturing – order fulfillment, purchase order processing, and transportation and inventory management.

  • Retail – product categorization, automated checkout, and delivery tracking.

  • Customer service – credit checks, account number assignment, and activation tasks can be allocated to bots and employees can speak to a customer and apply empathy and discernment to the situation at hand.

What ails Robotic Process Automation?


The raised fostering of RPA highlights the advantages of the modern technology, however the trip of automation is not without some bumps in advance.

Presently, a bulk of RPA options deal with a typical weak point– a small adjustment to information layouts, service procedures, or application user interface can lead the whole software program to damage down.

By style, RPA is durable software program however that likewise shows its frailty in adjustments.

If anything changes, that can break the automation.

- Jason Bloomberg, Leading IT market expert


For instance, Bloomberg discussed, if an interface component like a switch relocates or transforms dimension, the automation may damage. Or probably the information style adjustments due to the fact that a person included a brand new area. “In other cases, the business requirement for the process logic changes, requiring a rework of the bot.”

RPA functions best with older and also tradition applications powered by regular procedures that go through little adjustment and also secure information layouts. For companies looking to take advantage of the modern technology, the brittleness of RPA might lead to tightening alternatives and also applications in companies.

Financial establishments, as an example, are typically wed to tradition systems and also applications, for which RPA is well matched to aid take care of. However, in a vibrant electronic age– which calls for service dexterity– RPA’s absence of versatility when incorporated can be restricting.

What is Low-Code Development?


Low-code software development could be compared to a car manufacturing assembly line. Both processes automate difficult and time-consuming tasks, in order to increase delivery speed and free up people to focus on high-level tasks.

In technical terms, low-code is a set of tools that developers can use to build applications inside a drag-and-drop visual interface – including complete UI, integrations, data management, and logic.

READ MORE: DISPELLING FIVE MYTHS OF LOW-CODE APP DEVELOPMENT

Why to program in a Low-Code Development environment?


In a quote to address the brittleness of RPA, the arising idea of low-code reveals appealing possibility. Its ability to faster way and also separate software program parts streamlines the design procedure.
For RPA software program that calls for an upgrade, low-code offers the all set-to- code design to convenience the restructuring of systems.

Low-code simplifies the work of developers, whether they be building applications or constructing bots. But even more importantly, low-code empowers developers and business stakeholders to work together more effectively to manage change in the behavior of the software.

- Jason Bloomberg, Leading IT market expert


In significance, low-code opens brand-new opportunities for designers to focus on establishing special software program systems that are matched for particular companies.

READ MORE: BENEFITS OF LOW CODE DEVELOPMENT WITH REUSABLE COMPONENTS

How does Low-code development help in mitigating RPA implementation?


Here’s where low-code development can save the day.
Low-code platforms enable cross-functional teams of professional developers, citizen developers, and functional staff to easily collaborate and connect multiple applications for end-to-end solutions. Because the platforms are built on open standards and are cloud-native, they can easily connect internal legacy and third-party applications in a bot-friendly interface and quickly establish bot workflows that model the real business processes. Enterprise RPA initiatives can get off the ground in a fraction of the time without bringing on additional staff and infrastructure.

What does low-code and RPA implementation success look like in real life? Just ask Avertra and 2 Sisters Food Group.

Avertra provides technology and consulting solutions for telecom and utility companies, including a modular digital customer experience framework built with the Mendix ecosystem and integrated via API with enterprise solutions like ERP systems, work management applications, and external data sources. Alongside their clients, Avertra establishes which processes to automate, builds user stories, and deploys bots which then follow workflows, transfer data between systems, select appropriate resolution paths, and follow through with documentation and compliance – all within a fraction of the time it takes an individual agent.

Meanwhile, UK poultry supplier 2 Sisters used low-code to implement RPA across 11 accounting transactional processes, moving from 100% manual work to 97% automated within six weeks. They used Mendix to build a data-structuring application that extracts, parses and cleans the data. 2 Sisters was able to reduce their customer invoice verification process from 65% of invoices needing manual data verification to only 8%. Manual data entry was nearly eliminated, save for a few outliers identified by the bots, and employees have more time to analyze the data and costs.

Low-code enables both technical and non-technical users to play an active role in implementing and maintaining RPA initiatives, taking the burden off of the IT team, operating securely within their infrastructure and parameters, and reducing the need for additional developers. Avertra empowered their client’s citizen developers to make workflow iterations in the Mendix platform based on data results and their internal business knowledge. With the assistance of Mendix partner AuraQ, 2 Sisters built 300 unique customer remittance templates in 3 months and over 3,000 have been created to date (and they’re still going).

The beauty of low-code platforms is that applications can be easily adjusted as the business evolves, RPA technology improves, and new automation opportunities are identified, enabling companies to be more agile and competitive. Avertra’s clients have used data insights to produce new and revised resolution paths addressing outlying issues not caught by the RPA framework and 2 Sisters is now analyzing their data to identify their next digital transformation target. Their investments in RPA implementation and low-code development have quickly paid off and will continue to return dividends in the months and years to come.

Concluding Thoughts:


Low-Code Development is the simpler way to adjust and improve RPA as per the business demands. With the entry of IoT powered by high-speed 5G, low-code programing is touted to be the tool to speedy up RPA innovations. AI has become the most important trend in the low-code RPA market thus making implementation of RPA with low-code quick and agile.

READ MORE: THREE SMART WAYS TO USE LOW-CODE DEVELOPMENT PLATFORMS

Spotlight

Sonatype

The Sonatype journey started 15 years ago, just as the concept of “open source” software development was gaining steam. From our humble beginning as core contributors to Apache Maven, to supporting the world’s largest repository of open source components (Central), to distributing the world's most popular repository manager (Sonatype Nexus Repository), we’ve played a meaningful role in helping the world embrace the power of open innovation. Over time, we witnessed the staggering volume and variety of open source libraries that began flowing into every development environment in the world. We understood that when open source components are properly managed, they provide a tremendous energy for accelerating innovation. Conversely, when unmanaged, open source "gone wild"​ can lead directly to security vulnerabilities, licensing risks, enormous rework, and waste.

OTHER ARTICLES
Software, Future Tech, Application Development Platform

Top 10 Application Development Certifications to Grow Your Skills

Article | August 16, 2023

Boost your career with the finest application development certifications! Learn about the most in-demand skills to stand out in the job market and grow your career path. Upskill with certifications! Essential Learning for Application Development With the rise of e-commerce and hassle-free online payments, app development is witnessing growth like never before, with innovative technological trends on the rise. It has become crucial for developers to upskill their expertise with the help of new application development certifications. These certifications for software developers help them earn credibility by demonstrating their expertise in areas of application development such as software development and cloud-based app development for the backend. In the highly competitive job market, the knowledge of leveraging AI app development tools has emerged as the most in-demand, and software development certifications are designed to fulfill it. AI-related application development certifications for developers are highly sought after by employers and help developers stand out in the job market with the potential for higher salaries and career advancement opportunities. In this article, we will discuss the top 10 application development certifications to help you grow your skills and advance your career. 1.Application Development using Microservices and Serverless The certification ‘Application Development using Microservices and Serverless’ is offered by Coursera. This course is part of multiple programs and is taught by Alex Parker. It is designed to teach you the fundamentals of Microservices, their advantages, and how to contrast them with monolithic architectures. You will learn how to create REST API endpoints, use SwaggerUI to document and test APIs, and create and deploy microservices using Docker containers and serverless technologies like IBM Code Engine. The course contains several hands-on labs that allow you to practice and apply the content you learn in the course. Upon completion of the course, participants will earn a shareable certificate that you can add to your LinkedIn profile. This course is recommended for intermediate-level learners with some prior experience. The course takes approximately 14 hours to complete and has a flexible schedule, so you can learn at your own pace. 2.Application Development with Cloud Run The Application Development with Cloud Run certification is offered by Coursera in partnership with Google Cloud Training. This course is part of Preparing for Google Cloud Certification: Cloud Developer Professional Certificate. It is designed for cloud developers who want to learn to build serverless web apps and Google Assistant applications on Google Cloud using Cloud Run and Firebase. The course introduces you to the fundamentals, practices, capabilities, and tools applicable to modern cloud-native application development using Google Cloud Run. The course is introductory and takes approximately 11 hours to complete. Upon completion, you can earn a shareable career certificate from Google Cloud. The course includes lectures, hands-on labs, quizzes, and assessments to help you gain a detailed understanding of Cloud Run. You will learn how to write and migrate code using common languages (Go, Python, Java, Ruby, Node.js, and more), use secure service-to-service communication based on service identities, connect to and persist data in managed database offerings on Google Cloud, and much more. This is one of the software development certifications that helps boost your cloud career by showing the world the skills you have developed. 3.Back-end Application Development Capstone Project The Back-end Application Development Capstone Project is a course offered by Coursera as part of the IBM Back-End Development Professional Certificate. This certification for developers enables them to practice the work that back-end developers do in real life when working with applications. The course is approximately 18 hours long and can be completed at your own pace. The course is taught in English and has English subtitles. The key takeaways from this backend developer certification course include proficiency in developing and deploying backend services and applications, authoring microservices and REST APIs in Flask, creating and querying databases like MongoDB, integrating with Django apps, containerizing microservices using Docker, and deploying using Kubernetes, OpenShift, and serverless. The course is composed of five modules and includes quizzes and assessments to test your knowledge. This course is a great way to build your Cloud Computing expertise and develop job-relevant skills with hands-on projects. The benefits of completing this certification include gaining a foundational understanding of back-end development, developing job-relevant skills with hands-on projects, and earning a shareable career certificate from IBM. This certificate for software developers is a great way to showcase your skills to potential employers when interviewing for an engineering role. 4.Essential Tools for Application Development The Essential Tools for Application Development course is offered by Coursera and is part of the Introduction to Application Development Specialization. This is one of the top software developer certifications for beginners, and no previous experience is necessary. The course takes approximately 6 hours to complete and has a flexible schedule, allowing self-paced learning. The course covers two important classes of tools for developers: version control systems and build automation tools, with specific examples of Apache subversion for version control and Apache Maven for build automation. After completing this course, participants receive a LinkedIn-shareable certificate. The course includes quizzes and assessments to test your knowledge and understanding of the material. This course can benefit anyone seeking to become an application programmer with no existing experience. 5.Getting Started With Application Development The Getting Started With Application Development certification is offered by Coursera in partnership with Google Cloud. This course is designed for application developers who want to learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. It is available in multiple formats and is the first course in the Developing Applications with Google Cloud series. There are no prerequisites for this course, and it is available in multiple languages, including Node.js, Python, and Java. It includes a combination of presentations, demos, and hands-on labs. Participants will learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics. Upon completion of the course, participants will earn a shareable certificate to add to their LinkedIn profiles. This is one of the best certifications for software engineers, developers, and anyone interested in cloud-native application development. The key takeaways from this course include best practices for application development, an understanding of various data storage options in Google Cloud, and hands-on experience with using Datastore and Cloud Storage. 6.Introduction to Application Development Specialization The ‘Introduction to Application Development’ specialization offered by Coursera is one of the top application development certifications for software developers. This specialization is intended for anyone seeking to become an application programmer with no existing experience. Through four courses, you'll learn about the fundamental concepts of programming, object-orientation, and several necessary tools, including source control and build automation. The specialization is largely conceptual, so it isn't as hands-on as learning a programming language, but it does include some hands-on labs to practice your new foundational programming skills. You'll be able to utilize the Coursera lab environment to practice and get a feel for how a programming environment is structured and how you will set up and customize your environment to work best for you. This specialization will prepare you to dive into the Java development language and begin your programming career. 7.Introduction to Web Development with HTML, CSS, JavaScript The Introduction to Web Development with HTML, CSS, and JavaScript certification is offered by Coursera. This is one of the leading software developer certifications for beginners and is part of multiple programs. The course is taught by Upkar Lidder, takes approximately 12 hours to complete and has a flexible schedule, allowing self-paced learning. The key takeaways from this course include the ability to describe the Web Application Development Ecosystem, identify developer tools and IDEs, create and structure basic web pages using HTML and CSS, and develop dynamic web pages with interactive features using JavaScript. Upon completion of the course, you will receive a shareable certificate to add to your LinkedIn profile. This course is a great way to start your journey towards becoming a web developer. 8.Web Application Development with JavaScript and MongoDB The Web Application Development with JavaScript and MongoDB certification is offered by Coursera in partnership with the University of London. It is part of the Responsive Website Development and Design Specialization. It is one of the top application development certifications designed for people who want to develop more advanced web application programming skills. You will learn how to control data read and write access using methods such as publish and subscribe. The course is taught by Dr. Matthew Yee-King. It is self-paced and takes approximately 26 hours to complete. Upon completion, you will receive a shareable certificate to add to your LinkedIn. The software programmer certification includes 30 quizzes and four assessments. There are no prerequisites for this course, but it is recommended that you have some prior knowledge of JavaScript and MongoDB. The key takeaways from this course include the ability to use Meteor methods to control data write access, use publish and subscribe to control data read access, install and use advanced Meteor packages, add user accounts to your applications, implement complex MongoDB filters, use the MongoDB and Meteor server shells, define data validation schemas using SimpleSchema, and generate data input forms automatically using SimpleSchema. 9.Web Application Development: Basic Concepts The Web Application Development: Basic Concepts certification is offered by Coursera in partnership with the University of New Mexico. It is part of the Web Application Development: Modern Full Stack Architectures Specialization. It is one of the best certifications for software engineers, designed for people who want to develop basic web application programming skills. You will learn the major components of web application architectures, along with the fundamental design patterns and philosophies that are used to organize them. The course is taught by Greg Heileman. It is self-paced and takes approximately 18 hours to complete. Upon completion, you will receive a shareable certificate to add to your LinkedIn. The course includes two assessments. There are no prerequisites for this course, but it is recommended that you have some prior knowledge of web development. The key takeaways from this course include the ability to understand the basic background, terminology, and fundamental concepts to build modern full-stack web applications. 10.Web Applications for Everybody Specialization The Web Applications for Everybody Specialization is a course offered by Coursera. It is taught by Charles Russell Severance and is designed to provide a foundational understanding of web application development. The course covers topics such as Hypertext Preprocessor (PHP), HTML, and Cascading Style Sheets (CSS). It is self-paced and can be completed in approximately 30 hours. There are no prerequisites for this course, and it is suitable for learners at an intermediate level. Upon completion of the course, learners will receive a shareable certificate that can be added to their LinkedIn profile. This app developer certification includes quizzes and assessments to help learners gauge their understanding of the material. It is part of the Web Applications for Everybody Specialization, which includes additional courses that build upon the concepts covered in this course. Diving into an Era of Redefined Application Development Many application development certifications for software engineers and developers help them grow their skills and advance their careers. These app developer certifications can help developers stand out among their peers and demonstrate their expertise in specific areas of application development. It is also important for developers to keep up with the latest trends in application development by attending conferences and reading application development books. This can help them stay up-to-date with the latest technologies and best practices and ensure that they are able to deliver high-quality applications that meet the needs of their users. By continuously learning and growing their skills, developers can position themselves for success in the highly competitive application development industry.

Read More
Neural Networks

Top 10 Most Valuable Application Development Books in 2023

Article | September 15, 2023

Level up with our 2023 selection of the 10 most valuable application development books. Hone your programming skills, boost problem-solving, and seize the chance to excel in software app development. For a successful career as a software app developer, continuous learning is crucial due to rapidly evolving technology. These top 10 books in application development make an indelible mark in 2023, offering cutting-edge insights and strategies. Discover enlightening app development insights at all proficiency levels and interests with the best app development books. From foundational principles to emerging application development trends, these books shape exceptional applications with knowledge. Whether a seasoned developer refining skills or an aspiring enthusiast, these invaluable gems empower you with essential application development tools and industry know-how for success. Master programming languages, cutting-edge frameworks, and UX/UI design secrets with the help of these books about application development. Explore our meticulously curated list of the top 10 app development books in 2023 to elevate your prowess and pursue excellence in the app development world. 1. Android Application Development All-in-One For Dummies Authors: Barry Burd and John Paul Mueller The dominance of Android in the mobile and TV markets is undeniable, providing developers with a vast platform to reach millions of users and generate significant revenues with their diverse app ideas. The third edition of Android Application Development All-in-One, authored by Barry Burd and John Paul Mueller, serves as a comprehensive guide for individuals at all skill levels interested in learning Android programming and regarded as one of the best mobile application development books on the shelf. This Android app development book covers various aspects of development, including mobile, TV, native code, watch, car, Android wear, and other devices, making it a resourceful book for both advanced software developers and is one of the most helpful mobile application development books for beginners. 2. Cross-Platform Mobile Application Development Author: John R. Carlson This application development book written by John R. Carlson Ph.D. offers a relatively more engaging approach than other application development books covering the Lua scripting language and Solar2D (formerly the CoronaSDK) as a foundation. It covers fundamental concepts and techniques across 14 hands-on chapters with over 100 sample apps. For those aspiring to create and sell their app but unsure where to start, this book can be the first step on their journey. ‘Cross-Platform Mobile Application Development: A Beginner's Guide Using Solar2D’ is one of the best app development books catering to scripters who prefer a GUI-based development environment through the bundled Drawn2Code IDE. This prototype IDE automates much of the writing process, allowing users to focus on app design which makes this one of the highly referred application design books. Professor Carlson's fun, step-by-step approach has successfully taught over a thousand students to code and create mobile apps, emphasizing the learning of scripting fundamentals while building cross-platform games and utility apps with Solar2D's rich feature-set. 3. Effortless Cloud-Native App Development Using Skaffold Author: Ashish Choudhary Kubernetes is the standard for container orchestration, streamlining cloud-native app deployment and management. While it simplifies support work, developers may need enhanced tools for productivity. Introducing Skaffold – a command-line tool automating build, push, and deploy steps for Kubernetes apps. ‘Effortless Cloud-Native App Development Using Skaffold: Simplify the development and deployment of cloud-native Spring Boot applications on Kubernetes with Skaffold 1st Edition’ by Ashish Choudhary offers a practical guide to resolving development loop problems with Skaffold. The book has three parts: common developer challenges with Kubernetes, Skaffold features and architecture, and practical Spring Boot app deployment on Google Cloud Platform (GCP) using Skaffold. It also covers creating CI/CD pipelines for cloud-native apps. By the end, readers gain skills to accelerate app development with Skaffold. 4. Enterprise Application Development with C# 10 and .NET 6 Authors: Ravindra Akella, Arun Kumar Tamirisa, Suneel Kumar Kunani and Bhupesh Guptha Muthiyalu ‘Enterprise Application Development with C# 10 and .NET 6: Become a professional .NET developer by learning expert techniques for building scalable applications, 2nd Edition 2nd ed. Edition’ is a comprehensive guide simplifying the process of building production-ready enterprise apps. It is one of the most highly acclaimed books on enterprise application development providing an end-to-end road map using the latest features of .NET Core 6 and C# 10. Throughout this web application development book, readers create an enterprise app, adding key components in each chapter for testing and deployment. Concepts covered include advanced data structures, Entity Framework Core, parallel programming, and dependency injection. Also, various authentication and authorization schemes in .NET Core are explored. It is one of the books on enterprise application development that suits both advanced software developers and beginners, catering to developers, architects, or senior programmers leveraging .NET 6 and C# language for essential skills. 5. Hands-On Unity Application Development Author: Puneet Singh Rawat ‘Hands-On Unity Application Development: Unlock the power of Unity3D for non-gaming applications (English Edition) 1st Edition’ by Puneet Singh Rawat is a comprehensive guide for a successful career in the emerging AR and AI technology. It is one of the ideal mobile application development books for beginners and experienced Unity developers, facilitating cutting-edge AR and AI applications. Authored by an experienced IT expert, the book offers practical advice on exploring opportunities within the field. It covers Unity fundamentals, 360 mobile experiences, object tracking with photogrammetry, and merging physical and digital elements. AR Foundation is discussed for captivating interactive experiences. AI technologies like OpenAI and Google Vision AI are seamlessly integrated into Unity projects for enhanced interactivity and intelligence. Networking Unity applications enables communication and collaboration between devices. The book also explores creating immersive applications spanning multiple screens. Emphasizing practical application, it provides numerous examples to apply Unity skills in real-world projects. By the end, readers will proficiently develop groundbreaking AR and AI applications. 6. iOS 16 Programming for Beginners Authors: Ahmad Sahar and Craig Clayton With almost 2 million apps on the App Store, iOS mobile apps continue to be immensely popular, resulting in increased demand for competent iOS developers. The book ‘iOS 16 Programming for Beginners: Kickstart your iOS app development journey with a hands-on guide to Swift 5.7 and Xcode 14, 7th Edition’ is one of the best mobile application development books for iOS developers and provides a comprehensive introduction to iOS. It covers learning Swift, app creation, and App Store publication, following a practical approach with step-by-step tutorials, real-life examples, and easy-to-understand explanations. Throughout this iOS app development book, readers will master Swift for building and publishing iOS apps, exploring features like Mac Catalyst, SwiftUI, Lock Screen widgets, WeatherKit, and more. Upon completion, readers will possess the knowledge and skills to develop engaging apps and discover valuable online resources to enhance their development journey. The book is suitable for individuals experienced in programming, new to Swift and iOS app development, with a basic understanding of concepts like loops and data types. 7. Learning Web App Development Author: Semmy Purewal Learn web application development fundamentals through a simple database-backed app using HTML, JavaScript, and open source tools. This practical guide, ‘Learning Web App Development: Build Quickly with Proven JavaScript Techniques 1st Edition’ teaches web app developers to create a user interface, write a server, establish client-server communication, and deploy the app with a cloud-based service. It is one of the top books about web application development written by Semmy Purewal and published by O'Reilly Media, Inc. in 2014. It's a valuable resource for college-level courses, offering a solid grounding in web app development processes. Each chapter in this web app development book includes practice problems, examples, and mental models of the development workflow. This web application development book covers setting up a workflow with a text editor, version control system, and web browser; structuring a user interface with HTML and applying styles with CSS; using JQuery and JavaScript for interactivity; establishing client-server connection with AJAX, JavaScript objects, and JSON; learning server-side programming with Node.js; storing data outside the app with Redis and MongoDB; sharing the app by uploading it to the cloud with CloudFoundry; and obtaining basic tips for writing maintainable code on both client and server. It acts as a primary reference work among many books about web application development. 8. Scale Development: Theory and Applications Authors: Robert F. DeVellis and Carolyn T. Thorpe ‘Scale Development: Theory and Applications (Applied Social Research Methods) Fifth Edition’ by Robert F. DeVellis and Carolyn T. Thorpe offers a demystified approach to measurement, focusing on a logical understanding of concepts rather than strict mathematics. The Fifth Edition features a new chapter that clarifies the distinctions between indices and scales, explores various types of indices, suggests approaches for their development, and examines validity and reliability issues. All chapters have been updated to encompass recent developments in measurement while maintaining an accessible and user-friendly format. Published by SAGE Publications Inc., this book serves as a valuable resource for individuals seeking to enhance their knowledge in measurement techniques and applications. 9. Simplifying Application Development with Kotlin Multiplatform Mobile Author: Róbert Nagy Developers gain a competitive edge by sharing code between platforms. Kotlin Multiplatform Mobile (KMM) facilitates code sharing for Android and iOS native development. The book explores KMM's approach, distinguishing it from React Native, Flutter, and C++. It guides readers on core concepts, UI sharing, and effective SDK usage for native app development. Expert tips and best practices aid project and career growth. Titled ‘Simplifying Application Development with Kotlin Multiplatform Mobile: Write robust native applications for iOS and Android efficiently,’ the book by Róbert Nagy was published by Packt, helps build Android and iOS apps while sharing business logic. It covers exciting features, familiarizing developers with KMM, its inner workings, and Kotlin in the context of Swift. Readers learn to share code efficiently, use KMM tips, and integrate it into existing or new apps. Targeting native Android and iOS developers, prior knowledge of the framework and languages (Java/Kotlin for Android, Objective-C/Swift for iOS) is necessary. For Swift developers, Kotlin will be covered. 10. Theories of Development: Concepts and Applications Author: William Crain The 6th edition of ‘Theories of Development: Concepts and Applications’ was published by Routledge in 2010. It examines twenty-four theorists and their perspectives on human development. It focuses on developmental tradition from Rousseau to environmental and learning theories. It is one of the top application development books providing valuable insights for advanced software developers and beginners alike. It offers a comprehensive overview of diverse developmental theories, promoting a deeper understanding of human growth and learning. This knowledge can be applied to personal development and fostering better collaboration with others. Wrapping Up Mastering app development in 2023 and beyond requires a commitment to adaptability, continuous learning, and a deep understanding of emerging technologies. The insights gleaned from this list of application development books and software development books serve as a solid foundation for developers to navigate the ever-evolving field and make their mark efficiently. By combining the wisdom of these resources with a passion for innovation and user experience, developers can shape the future of application development and drive the technological advancements of tomorrow.

Read More
Software, Low-Code App Development, Application Development Platform

Top 10 IoT Application Development Trends to Watch in 2023

Article | August 4, 2023

Explore the top IoT app development trends of 2023 for sustainable business growth. Keep up with the latest technological advancements in the IoT development space to drive long-term market growth. Table of Contents IoT Application Development for Business Growth Comprehensive List of IoT Application Development Trends 1. Digital Twins 2. AI and IoT 3. Novel Sensor Technology 4. 5G Automotive Services 5. Innovation at the Chip Level for IoT Devices 6. Healthcare and IoT 7. IoT Security 8. New Interfaces and Experiences for Users 9. 5G for 24X7 Connectivity 10. The Power of Edge Computing Final Say on the Future of Internet of Things App Development Keeping up with the new things in technology, including the new IoT technology and IoT innovations, has become crucial and hence businesses are looking out for the top IoT application development trends to optimize their development workflows. Data is an important application development tool when it comes to creating a refined user experience, and IoT sensors and IoT-enabled applications developed correctly can help create meaningful data. This data helps businesses streamline their operations and consumers improve their quality of life. Likewise, to effectively manage and control IoT devices and smart ecosystems, developing IoT applications is a must. Mobile IoT applications come in handy to perform a wide range of functions efficiently on the go. A good IoT development platform will not only reduce development time but also help get product into the hands of customers early. This helps reduce both direct and opportunity costs. IoT Application Development for Business Growth IoT is crucial for business growth as it enables real-time data collection and analysis, automation, constant connectivity, and insights into a company's systems. It streamlines processes across industries, boosting productivity and supporting business expansion into new lines of business. Additionally, IoT reduces expenses, enabling companies to invest more in their core values. By integrating IoT into their operations, businesses can optimize processes, reduce costs, and enhance customer experiences through smart devices that enable remote monitoring, predictive maintenance, and data-driven decision-making. IoT applications also facilitate personalized marketing, empowering companies to stay competitive, expand their market reach, and foster innovation for sustainable business growth. Comprehensive List of IoT Application Development Trends Keeping up with app industry trends is important for the growth of IoT app development and finding opportunities to save costs by leveraging the latest innovations in the market and producing a superior user experience. Here is a list of the top IoT application development trends for 2023: 1. Digital Twins Digital Twins are one of the top IoT application development trends in 2023 and enable seamless virtual interactions for organizations, services, and customers. It creates virtual replicas for analysis and enhancement, providing real-time insights and boosting productivity. Industries like Urban Planning and Automotive leverage digital twins to improve operations and simulate risk-free environments. With IoT adoption soaring, digital twins integrate with IoT systems to use real-time data, ushering in a tech revolution that bridges the digital-human divide. They empower the creation of virtual towns, communities, and infrastructure. 2. AI and IoT AI will help make sense of the vast IoT data and boost its value for businesses. Major cloud vendors like Amazon, Microsoft, and Google will compete based on AI capabilities. Low-code and no-code AutoML will rise for IoT analytics, along with a focus on security in manufacturing, big data analytics, and machine learning. The integration of AI with IoT is a top trend for 2023. Feeding IoT data to an AI model to help analyze the data trends and predict future demands is one of the most promising trends in application development that is sure to shape IoT app development in the future. 3. Novel Sensor Technology The combination of IoT with sensors enhances their impact and use cases, with Gartner predicting further advancements in sensor technology and algorithms. One example is Henkel's sensor experience kit, tailored for IoT engineering across industries, enabling engineers to explore printed electronics for IoT sensor solutions. This technology allows for remote monitoring, improved efficiency tracking, and sustainable resource use. Novel sensor technology is a top IoT trend in 2023. This novel sensor technology has the potential to disrupt the global supply chain industry by reducing lead times and efficiently managing inventory. 4. 5G Automotive Services The combination of 5G and IoT will greatly impact the automotive sector, which represents more than half of the 5G and IoT market. 5G automotive services will be a major IoT development trend in 2023. According to Gartner's research, connected cars will increase significantly, reaching 94% in 2028. Electric vehicles will benefit from improved connectivity, leading to better control and performance. 5G will also support EV infrastructure, like recharge stations and efficient route finding. However, some aspects of the automotive business's transformation are still unclear, as customers now seek more than just transportation from their cars. 5. Innovation at the Chip Level for IoT Devices Specialized chips are emerging for IoT systems, driven by the acceptance of edge computing and AI. For instance, MediaTek's Genio 700 IoT chipset targets various applications like industrial, smart home, and smart retail and is set to be available by Q2 2023. IoT advancements in chips, connectivity, security, and AI are reducing costs and improving devices. In 2023, innovation at the chip level for IoT devices will be a top trend to watch. Smaller and more efficient processors and wireless components enable connected devices to enter key markets like consumer appliances, cars, manufacturing, and healthcare. Enhanced networks lead to more reliable connectivity, creating demand for interconnected devices. 6. Healthcare and IoT The Internet of Healthcare Things is a top IoT trend for 2023, as projected by Forbes. The market for IoT-enabled health devices will reach $267 billion by 2023. The combination of IoT and cutting-edge technologies in healthcare may lead to significant advancements. Post-COVID-19, cloud, IoT, and AI technologies have been used to explore new use cases. The global IoMT market is expected to reach $187.60 billion by 2028, a substantial increase from its $41.17 billion worth in 2020. More connectivity means better healthcare for patients. This creates a tremendous opportunity to build IoT-enabled apps for the healthcare sector to improve overall patient care and experience. Some of the significant IoT-enabled apps in healthcare include: Smart wearables, implants, and ingestible electronics that can monitor patient health and safety. Remote physiological monitoring can reduce hospital readmissions and improve care quality. Hospital operations management can optimize workflow, resource allocation, and patient satisfaction. Glucose monitoring can help diabetic patients control their blood sugar levels. Connected inhaler that can track medication usage and alert patients of potential triggers. 7. IoT Security Ransomware attacks pose a significant risk as IoT devices become more prevalent, leading to potential disasters. To address this, a robust security system will be implemented to safeguard consumer IoT devices and prevent cyberattacks effectively. IoT Security is a crucial 2023 trend due to the rapid growth of Internet of Things applications in various sectors. To prevent ransomware attacks on IoT devices, take these steps: Update and patch systems to address vulnerabilities. Employ secure authentication strategies. Enforce the principle of least privilege. Regularly back up files. Ensure strong network protection. Monitor network traffic. Prioritize security over connectivity. Disable unneeded services or ports on devices. Keep all IoT devices, software, and hardware updated. By following these steps, businesses can protect IoT devices against ransomware attacks. 8. New Interfaces and Experiences for Users One of the prominent Internet of Things trends in 2023 is the rise of new interfaces and experiences for users. This growth is driven by innovative interfaces that offer improved user experiences and present fresh challenges. Notably, virtual assistants have gained popularity, with various digital assistants being integrated into homes. Devices like Amazon Alexa are excellent examples of how NLP technology plays a crucial role in enhancing user-device interactions. These advancements bring opportunities and challenges, with a focus on security, privacy, and standardization. One such IoT standard called Matter, formerly known as Project CHIP, provides a seamlessly connected user experience. The future promises an interconnected world where smart devices seamlessly cater to consumer needs. 9. 5G for 24x7 Connectivity 5G enables transformative IoT applications with numerous innovative use cases. It offers low latency and expanded networks, reaching 10 times more devices per square kilometer than 4G, and speeds ten times faster than 4G. This advancement facilitates remote patient treatment, media-rich presentations from home, autonomous driving, smart grids to eliminate blackouts, connected sensors for parking and safety, and remote patient health monitoring. A significant IoT trend is the use of 5G for 24x7 connectivity in 2023. Enterprises benefit from network slicing for private networks, enhancing data management, integrity, and access. The rollout of 5G networks drives productivity and efficiency improvements across industries. 10. The Power of Edge Computing IoT edge computing processes data at the edge of the network or near devices, solving latency issues, improving network bandwidth, and enabling faster responses and local decision-making. It enhances safety, operational efficiency, and the user experience. The power of edge computing has quickly become one of the top IoT application development trends in 2023. IoT edge computing can function with a cloud or a centralized data center and even offline when a network connection is lost. Edge computing allows IoT devices to generate, store, and analyze data at the source, enabling autonomous operation and direct communication between devices without centralized processing. The main advantage is improved IoT performance, as edge computing maintains scalability and flexibility while significantly reducing latency compared to traditional cloud environments. Final Say on the Future of Internet of Things App Development In conclusion, the future of IoT app development looks bright, with many exciting trends to watch in 2023. Digital twins will allow businesses to bridge the gap between the real and virtual worlds, while AI and IoT will help businesses extract more value out of their ever-growing volumes of data. Novel sensor technology will continue to impact all components of the IoT model, while 5G automotive services will open the door for more devices and data traffic. Innovation at the chip level for IoT devices will continue to drive progress, while healthcare and IoT will see increased adoption. Security remains a top concern for IoT devices and applications, while new interfaces and experiences for users, such as Voice User Interface (VUI), will become a reality. Edge computing will make it easier for businesses to process data faster and closer to the points of action, while blockchain in the IoT will see increased proliferation. With all these trends and more, there is no shortage of innovation in the field of IoT app development. Developer communities keen on keeping up with the latest trends rely heavily on attending some of the top app development conferences and taking up app development certifications for a better future.

Read More
Software, Future Tech, Application Development Platform

Top 10 App Development Tools and Platforms of 2023

Article | July 24, 2023

Stay ahead in the app development game with top tools and platforms of 2023. From low-code cross-platform development to streamlined development solutions, leverage mobile app development effectively. Mobile app development tools are a dynamic and competitive field that requires constant innovation and adaptation. With the rise of e-commerce, businesses are increasingly reinventing how their apps look and feel to create an unforgettable user experience in a short period of time with rapid application development and no-code cross-platform development. Traditionally, developers have leveraged application development frameworks like Android Studio, Xcode, React Native, Firebase, Flutter, Ionic, Xamarin, Bubble, and Adalo alongside resources like GitHub, GitLab, and Bitbucket. However, some rapid app development tools built around these frameworks provide everything enterprises need to elevate the user experience in less than half the time. In 2023, mobile app developers will have access to a variety of tools for application development and mobile application development platforms that can help them create high-quality and user-friendly apps for different devices and operating systems. Some of the top app development tools and platforms of 2023 are: 1.Alpha Anywhere Alpha Anywhere is a mobile app development software platform that supports the creation of iOS, Android, web, and desktop applications. It has received positive recognition and awards in the industry. The platform offers a unified development and deployment environment for both mobile and web apps, providing distinct environments for both no-code and low-code development approaches. Using the Alpha TransForm no-code product, business users and developers can quickly transform any form into a mobile app, leveraging the capabilities of smartphones. Power users can enhance app functionality using Alpha TransForm's built-in programming language. For IT developers, the Alpha Anywhere low-code environment allows the development of complex web or mobile business apps from scratch. It enables seamless integration of data with existing systems of record and workflows, including data collected through Alpha TransForm. Additionally, developers can incorporate advanced security measures and authentication requirements to safeguard corporate data. 2.Appery.io Appery.io is a low-code app builder. It offers a range of mobile application development tools and web, and progressive web application development tools. It uses Ionic 5 and JavaScript and offers a cloud-based backend for integrating with other systems via APIs. It caters to both professional developers and non-technical users, supporting hybrid mobile apps for iOS and Android as well as robust web apps. Important features include a drag-and-drop UI builder, integrated backend services like cloud databases and server-side scripting, and advanced security mechanisms. It also provides API Express for integrating with other IT solutions. Appery.io offers pre-built plugins and allows for custom plugin creation. It ensures consistent performance and user experience across platforms. By leveraging drag-and-drop and JavaScript, developers can accelerate their process and transform ideas into applications within days. The platform follows a ‘build once, run anywhere’ approach, enabling cross-platform applications to work seamlessly on popular devices and operating systems. 3.axe Developer Hub (Beta) The axe Developer Hub (Beta) is a platform designed to support developers in advancing automated testing for accessibility. This developer-focused platform offers simplicity of implementation and requires minimal maintenance. Significant features of the axe Developer Hub (Beta) include automated testing, intelligent guided testing, linting, integration with CI/CD pipelines, and a command-line interface (CLI). It also allows for the utilization of GitHub Actions to halt the release of code with accessibility issues automatically. Additionally, it offers a command-line tool to check the test results for every commit. By leveraging the axe Developer Hub (Beta), developers can measure accessibility using existing end-to-end tests without modifying them. The platform also enables developers to assess the impact of each pull request on accessibility, track accessibility changes across project releases, and readily identify issues with the greatest impact on accessibility. 4.Bizagi Automation Platform Bizagi Automation Platform is an enterprise-level solution that facilitates process optimization through automation, while also enabling the modernization of systems using low-code applications. Major features of the Bizagi Automation Platform include a user-friendly interface suitable for users of all skill levels, a visual 7-step Wizard designed for Citizen Developers, rapid composition and customization of enterprise applications, and the ability to foster collaboration between business and IT through fusion teams. Additionally, the platform provides capabilities for intelligent people and work management, system orchestration, integration of bots and data, personalized interfaces for different user roles, and the creation of process, data, and mobile-centric applications. The Bizagi Automation Platform empowers developers to build applications for various processes across the enterprise. It is one of the leading application development tools and offers robust automation capabilities with built-in governance, ensures global access and reliability in cloud-native environments, and provides pre-built integration connectors for streamlined connectivity. 5.GeneXus GeneXus is a low-code development platform powered by artificial intelligence that aims to simplify the creation of enterprise applications and user experiences in a rapidly evolving technology landscape. It offers enterprise application development tools while utilizing AI to automate and streamline the development, evolution, and maintenance of software solutions across various environments. Key features of GeneXus include offline mobility, a cross-platform solution, immediate preview capabilities, automatic app generation, the ability to extend business processes and data, integration acceleration, and complementary apps. It also offers integration capabilities with external systems such as ESRI, JD Edwards, Oracle, SAP, and legacy systems like Cobol, Visual FoxPro, Progress, and RPG. GeneXus is designed to assist developers in designing, developing, maintaining, and extending their business applications with ease and efficiency. It offers a higher level of flexibility, faster development times, and improved quality, catering to both simple and complex application requirements. 6.Jina Jina is a neural search framework for creating deep-learning search applications. It supports cross-modal and multi-modal applications on the cloud. It simplifies the transition from proof-of-concept to production-ready services by handling infrastructure complexities and making advanced solution engineering accessible to all developers. Key features include communication via gRPC, HTTP, and WebSockets for scalable deployment. It supports local deployment in Python and orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Jina enables easy scaling, duplex client-server streaming, and async or non-blocking data processing. It integrates with Docker containers through the Executor Hub, offers observability through OpenTelemetry and Prometheus, and provides fast deployment options for Kubernetes and Docker-Compose environments. 7.Postman Postman is an API platform that facilitates the building and utilization of APIs. It offers a simplified approach to each stage of the API lifecycle, promoting streamlined collaboration and efficient API development. With Postman, users can store and manage various components related to APIs, including API specifications, documentation, workflow recipes, test cases and results, metrics, and more. Key features of Postman include a saved API request history, detailed and web-viewable API documentation, flexible API monitoring, and support for mock servers, enabling split-stack development. Postman apps are built on a robust foundation, ensuring a consistent user experience and optimal performance. Additionally, it provides a comprehensive suite of tools that accelerate the API lifecycle, covering design, testing, documentation, mocking, and sharing and discoverability of APIs. Developers can leverage Postman to execute requests, perform testing, debug, create mock servers, monitor APIs, run automated tests, and document their API using the platform's powerful built-in tools. 8.Sentry Sentry is an application monitoring platform for developers and one of the preferred application development tools. It helps handle broken code, crashes, and faulty API calls. Trusted by millions of developers and organizations, Sentry delivers comprehensive solutions to identify and resolve performance issues and errors, and optimize code health. It supports 30+ coding languages and offers features like background sending, exception handling, scopes, context data, breadcrumbs, event sampling, rate limiting, and in-app frames. With full-stack monitoring, Sentry provides complete visibility into the code, detecting potential issues before downtime occurs. It traces performance issues to API calls and slow queries, providing valuable context about the application state. By leveraging these features, developers can troubleshoot and enhance application performance. 9.TrackVia TrackVia is a low-code development platform that minimizes the amount of code required for app development. It offers endless ways to build standalone solutions or complex integrations with existing software, including features such as API access, controls, and permissions; approval process control; audit management; business process automation; and calendar management. Transform any business by creating the exact app needed to track and automate work. Enhance tracking and workflows with TrackVia's friendly and easy-to-use drag-and-drop user interface, creating applications and forms without using any code. Integration options and a developer toolkit are also available. TrackVia can help businesses improve processes in a sustainable, and timely way to save application development costs. 10.Zeplin Zeplin is a collaboration tool that bridges the gap between developers and designers, offering a connected space for product teams. It is the industry standard for handing off designs to engineering, bringing harmony to design delivery, unifying product development teams, and enabling communication in context, team alignment, and faster building. Some of its features include real-time collaboration with the team, commenting and adding notes, using hundreds of free templates, widgets, and components, and optimization for mobile devices. It also offers connectivity with development tools such as Slack, Teams, Jira, ADO, Storybook, and VS Code. Zeplin can improve designer and developer productivity by saving 10 hours per week. It helps to cut out design file prep and organize designs with clarity. With features like flows, annotations, and screen variants, design documentation can be done without cluttering the workspace with extra layers. It is one of the top software development productivity tools for a smooth developer-designer collaboration. In essence, the app development tools and platforms will have evolved significantly in 2023, offering more features, flexibility, and efficiency for developers. Whether it is native, hybrid, or web-based apps, there is a tool or platform that can suit any need and budget. These tools and platforms enable developers to create stunning, responsive, and secure apps for various platforms and devices using languages and frameworks they are familiar with. According to Statista, the revenue in the Application Development Software market is projected to reach US$167.00 billion in 2023, with an expected annual growth rate (CAGR 2023–2028) of 7.04%, resulting in a market volume of US$234.70 billion by 2028. As no-code and rapid app development tools and platforms continue to evolve, they have become essential for the success of any app project. The exponential market growth in app development trends for 2023 will lead to decreased go-to-market time and significantly improve the user experience in the years to come.

Read More

Spotlight

Sonatype

The Sonatype journey started 15 years ago, just as the concept of “open source” software development was gaining steam. From our humble beginning as core contributors to Apache Maven, to supporting the world’s largest repository of open source components (Central), to distributing the world's most popular repository manager (Sonatype Nexus Repository), we’ve played a meaningful role in helping the world embrace the power of open innovation. Over time, we witnessed the staggering volume and variety of open source libraries that began flowing into every development environment in the world. We understood that when open source components are properly managed, they provide a tremendous energy for accelerating innovation. Conversely, when unmanaged, open source "gone wild"​ can lead directly to security vulnerabilities, licensing risks, enormous rework, and waste.

Related News

Software

EPAM Expands Partnership with Microsoft - Becomes Globally Managed Enterprise Systems Integrator

PR Newswire | September 27, 2023

EPAM Systems, Inc. (NYSE: EPAM), a leading digital transformation services and product engineering company, today announced that it is now a Microsoft globally Managed Enterprise Systems Integrator (SI) partner—helping to accelerate technology innovation, growth and business impact for enterprises through end-to-end solution design and implementation in the cloud. The newly acquired globally Managed Enterprise SI partner status marks a significant milestone in EPAM's expanding strategic partnership with Microsoft. The elevated status positions EPAM as a proven service provider for enterprise customers undertaking complex digital transformation, modernization and cloud migrations, and enables the Company to build cloud-native intelligent applications powered by Azure OpenAI Service. We're pleased to achieve this Globally Managed Enterprise SI partner status with Microsoft, said Elaina Shekhter, Chief Marketing and Strategy Officer, EPAM. This enhanced status, coupled with our accredited proficiency in executing cloud implementations and spearheading the development of next-generation applications, empowers us to provide an even wider spectrum of capabilities to our global customers to unlock the benefits of Microsoft Azure. As a long-standing Microsoft partner, EPAM helps customers engineer the future using Microsoft cloud. With more than 55,000 consultants, engineers and architects operating in more than 50 countries, EPAM provides enterprise customers worldwide with specialized Microsoft expertise to optimize Microsoft Azure cloud outcomes. The enhanced Globally Managed Enterprise SI partner status will further enable EPAM to drive the growth of Microsoft certifications and specializations and leverage Microsoft's partner investments to accelerate results in cloud native, data and application modernization, building intelligent solutions infused with Azure OpenAI service. In July 2023, EPAM won the 2023 Microsoft U.S. Azure Migration Partner of the Year Award for demonstrating excellence in innovation and implementing customer solutions based on Microsoft technology. As a Microsoft Solutions Partner, EPAM owns five solution partner designations and 10 specializations, enabling EPAM to deliver tailored solutions and accelerate business value and innovation for clients, further cementing EPAM's position as a trusted Microsoft technology partner. "We are thrilled that EPAM is now a Microsoft Globally Managed Enterprise Systems Integrator," said Kelly Rogan, CVP, Global Systems Integrator and Advisory Partners at Microsoft. "Through our expanded collaboration, EPAM will deliver innovative solutions and services on the Microsoft Cloud, which will help customers realize business transformation and growth." Since 2004, EPAM's collaboration with Microsoft has helped global customers accelerate their journey to Azure by planning and architecting a strategy for executing Azure migrations at scale without compromising quality.

Read More

Software

Unveiling Java 21: Oracle’s Quantum Leap in AI-Driven Development

Oracle | September 25, 2023

Oracle releases the new Java 21 to boost productivity, performance, and AI/ML support. Its features include string templates, record patterns, virtual threads, and more. Java 21 introduces the Vector API and aims to be the go-to for ML libraries. Oracle unveiled Java 21, marking the second update to the programming language in 2023, following Java 20's release in March. The latest iteration of Java brings a slew of enhancements designed to boost developer productivity and application performance and cater to artificial intelligence (AI) and machine learning (ML) development needs. Notably, Oracle's commitment to long-term support for Java 21, spanning at least eight years, aims to provide organizations with flexibility in migrating their applications. Additionally, support for Java 11 has been extended until January 2032. Key updates in Java 21 include: JEP 430: String Templates (Preview): Simplifying Java program development by enabling the incorporation of real-time-calculated values into strings JEP 440: Record Patterns (Third Preview): Empowering developers to expand pattern matching for complex data queries, enhancing productivity JEP 441: Pattern Matching for Switch: Enhancing the efficiency and reliability of projects by enriching the semantic nature of Java JEP 443: Unnamed Patterns and Variables (Preview): Improving code readability and maintainability by enhancing record patterns JEP 439: Generational Z Garbage Collector (ZGC): Boosting developer productivity by reducing heap memory overhead and garbage collection CPU requirements JEP 444: Virtual Threads: Optimizing the creation, maintenance, and monitoring of high-throughput, concurrent applications with lightweight virtual threads JEP 446: Scoped Values (Preview): Enabling sharing of immutable data within and across threads JEP 448: Vector API (Sixth Incubator): Introducing an API for reliable runtime compilation of vector computations on supported CPU architectures JEP 453: Structured Concurrency (Preview): Streamlining error handling, cancellation, improving reliability, and enhancing observability A standout feature in Java 21 is the finalization of virtual threads (JEP 444) within Project Loom, according to Georges Saab, Oracle's senior vice president of Oracle Java Platform and chair of the OpenJDK governing board. Virtual threads simplify the development of scalable and responsive applications, especially for those not well-versed in low-level threading APIs. This feature allows libraries and frameworks to build highly concurrent applications without requiring direct thread management, facilitating the creation of scalable programs that harness all available CPUs. Georges Saab, Oracle's senior vice president of Oracle Java Platform and chair of the OpenJDK governing board, reportedly remarked, Our answer is, we don't want to add a machine learning library, we want to make Java the platform to run all machine learning libraries on. [Source – IT Pro Today] Java 21 is geared toward AI, with JEP 448's introduction of a vector API as a prominent AI-focused feature. This API aids runtime execution, an essential component in modern AI applications utilizing vector embeddings in databases. Furthermore, projects like Valhalla, Panama, and improvements to the garbage collector aim to support AI and ML workloads by optimizing Java for processing large, intricate datasets. The overarching goal is to make Java the platform of choice for running all machine learning libraries, rather than adding a standalone machine learning library to the language.

Read More

AI Applications

Anyscale Unveils Anyscale Endpoints to Integrate Open-Source LLMs

Anyscale | September 20, 2023

San Francisco-based AI infrastructure company Anyscale has unveiled a new service, Anyscale Endpoints, at Ray Summit 2023. The service enables application developers to seamlessly integrate open-source Large Language Models (LLMs) into their projects using popular LLM APIs. Anyscale claims that Endpoints is significantly more cost-effective than proprietary solutions, with costs up to 10 times lower for specific tasks. Traditionally, developers faced challenges such as complex infrastructure, high compute costs, and time-consuming model development when working with open-source LLMs. Anyscale's Endpoints simplifies this process by offering easy API access to powerful GPUs at a competitive price, allowing developers to harness open-source LLM capabilities without the traditional complexity. Robert Nishihara, the Co-Founder and CEO of Anyscale, reportedly mentioned that historically, obstacles such as infrastructure complexity, compute resources, and cost had limited AI application developers’ use of open-source LLMs. The demand for generative AI and high-quality LLM applications is rapidly rising, with the generative AI market projected to grow from $40 billion in 2022 to $1.3 trillion over the next decade, according to Bloomberg Intelligence. Gartner notes the advantages of open-source models, including customizability, better deployment control, enhanced privacy and security, and the ability to leverage collaborative development. Anyscale offers Endpoints at a competitive rate of $1 per million tokens for state-of-the-art open-source LLMs, making LLM services more accessible to application developers. Additionally, Anyscale can quickly add new models, ensuring users have access to the latest innovations from the open-source community. Robert Nishihara, the Co-Founder and CEO of Anyscale, emphasized the significance of endpoints, stating, With seamless access via a simple API to powerful GPUs at a market-leading price, Endpoints lets developers take advantage of open-source LLMs without the complexity of traditional ML infrastructure. As AI innovation continues to accelerate, Endpoints enables developers to harvest the latest developments of the open-source community and stay focused on what matters—building the next generation of AI applications. [Source: Globe Newswire] Furthermore, Anyscale offers the option to run and use the Endpoints service within the customer's existing AWS or GCP cloud accounts, improving security and enabling the reuse of security controls and policies. Customers can also upgrade to the full Anyscale AI Application Platform for more customization and control over their data, models, and app architecture. Anyscale Endpoints integrates seamlessly with popular Python and machine learning libraries and frameworks, facilitating various use cases across different cloud platforms as AI applications evolve. Early users of Anyscale Endpoints have reported significant benefits, such as faster service deployment and cost advantages over proprietary alternatives. Anyscale's new service aims to empower developers to leverage open-source LLMs for their AI applications while reducing complexity and costs. About Anyscale Anyscale is a leading AI application platform founded by the creators of Ray, an open-source framework for scalable computing. Based in San Francisco, California, the company empowers developers of all skill levels to build, run, and scale AI applications with ease, from individual laptops to extensive data centers. Anyscale's mission is to simplify AI development by eliminating the need for distributed systems’ expertise, ensuring that every developer and team can succeed with AI. The company has gained traction in the industry, with organizations like Uber, OpenAI, Shopify, and Amazon using Ray for their machine learning platforms.

Read More

Software

EPAM Expands Partnership with Microsoft - Becomes Globally Managed Enterprise Systems Integrator

PR Newswire | September 27, 2023

EPAM Systems, Inc. (NYSE: EPAM), a leading digital transformation services and product engineering company, today announced that it is now a Microsoft globally Managed Enterprise Systems Integrator (SI) partner—helping to accelerate technology innovation, growth and business impact for enterprises through end-to-end solution design and implementation in the cloud. The newly acquired globally Managed Enterprise SI partner status marks a significant milestone in EPAM's expanding strategic partnership with Microsoft. The elevated status positions EPAM as a proven service provider for enterprise customers undertaking complex digital transformation, modernization and cloud migrations, and enables the Company to build cloud-native intelligent applications powered by Azure OpenAI Service. We're pleased to achieve this Globally Managed Enterprise SI partner status with Microsoft, said Elaina Shekhter, Chief Marketing and Strategy Officer, EPAM. This enhanced status, coupled with our accredited proficiency in executing cloud implementations and spearheading the development of next-generation applications, empowers us to provide an even wider spectrum of capabilities to our global customers to unlock the benefits of Microsoft Azure. As a long-standing Microsoft partner, EPAM helps customers engineer the future using Microsoft cloud. With more than 55,000 consultants, engineers and architects operating in more than 50 countries, EPAM provides enterprise customers worldwide with specialized Microsoft expertise to optimize Microsoft Azure cloud outcomes. The enhanced Globally Managed Enterprise SI partner status will further enable EPAM to drive the growth of Microsoft certifications and specializations and leverage Microsoft's partner investments to accelerate results in cloud native, data and application modernization, building intelligent solutions infused with Azure OpenAI service. In July 2023, EPAM won the 2023 Microsoft U.S. Azure Migration Partner of the Year Award for demonstrating excellence in innovation and implementing customer solutions based on Microsoft technology. As a Microsoft Solutions Partner, EPAM owns five solution partner designations and 10 specializations, enabling EPAM to deliver tailored solutions and accelerate business value and innovation for clients, further cementing EPAM's position as a trusted Microsoft technology partner. "We are thrilled that EPAM is now a Microsoft Globally Managed Enterprise Systems Integrator," said Kelly Rogan, CVP, Global Systems Integrator and Advisory Partners at Microsoft. "Through our expanded collaboration, EPAM will deliver innovative solutions and services on the Microsoft Cloud, which will help customers realize business transformation and growth." Since 2004, EPAM's collaboration with Microsoft has helped global customers accelerate their journey to Azure by planning and architecting a strategy for executing Azure migrations at scale without compromising quality.

Read More

Software

Unveiling Java 21: Oracle’s Quantum Leap in AI-Driven Development

Oracle | September 25, 2023

Oracle releases the new Java 21 to boost productivity, performance, and AI/ML support. Its features include string templates, record patterns, virtual threads, and more. Java 21 introduces the Vector API and aims to be the go-to for ML libraries. Oracle unveiled Java 21, marking the second update to the programming language in 2023, following Java 20's release in March. The latest iteration of Java brings a slew of enhancements designed to boost developer productivity and application performance and cater to artificial intelligence (AI) and machine learning (ML) development needs. Notably, Oracle's commitment to long-term support for Java 21, spanning at least eight years, aims to provide organizations with flexibility in migrating their applications. Additionally, support for Java 11 has been extended until January 2032. Key updates in Java 21 include: JEP 430: String Templates (Preview): Simplifying Java program development by enabling the incorporation of real-time-calculated values into strings JEP 440: Record Patterns (Third Preview): Empowering developers to expand pattern matching for complex data queries, enhancing productivity JEP 441: Pattern Matching for Switch: Enhancing the efficiency and reliability of projects by enriching the semantic nature of Java JEP 443: Unnamed Patterns and Variables (Preview): Improving code readability and maintainability by enhancing record patterns JEP 439: Generational Z Garbage Collector (ZGC): Boosting developer productivity by reducing heap memory overhead and garbage collection CPU requirements JEP 444: Virtual Threads: Optimizing the creation, maintenance, and monitoring of high-throughput, concurrent applications with lightweight virtual threads JEP 446: Scoped Values (Preview): Enabling sharing of immutable data within and across threads JEP 448: Vector API (Sixth Incubator): Introducing an API for reliable runtime compilation of vector computations on supported CPU architectures JEP 453: Structured Concurrency (Preview): Streamlining error handling, cancellation, improving reliability, and enhancing observability A standout feature in Java 21 is the finalization of virtual threads (JEP 444) within Project Loom, according to Georges Saab, Oracle's senior vice president of Oracle Java Platform and chair of the OpenJDK governing board. Virtual threads simplify the development of scalable and responsive applications, especially for those not well-versed in low-level threading APIs. This feature allows libraries and frameworks to build highly concurrent applications without requiring direct thread management, facilitating the creation of scalable programs that harness all available CPUs. Georges Saab, Oracle's senior vice president of Oracle Java Platform and chair of the OpenJDK governing board, reportedly remarked, Our answer is, we don't want to add a machine learning library, we want to make Java the platform to run all machine learning libraries on. [Source – IT Pro Today] Java 21 is geared toward AI, with JEP 448's introduction of a vector API as a prominent AI-focused feature. This API aids runtime execution, an essential component in modern AI applications utilizing vector embeddings in databases. Furthermore, projects like Valhalla, Panama, and improvements to the garbage collector aim to support AI and ML workloads by optimizing Java for processing large, intricate datasets. The overarching goal is to make Java the platform of choice for running all machine learning libraries, rather than adding a standalone machine learning library to the language.

Read More

AI Applications

Anyscale Unveils Anyscale Endpoints to Integrate Open-Source LLMs

Anyscale | September 20, 2023

San Francisco-based AI infrastructure company Anyscale has unveiled a new service, Anyscale Endpoints, at Ray Summit 2023. The service enables application developers to seamlessly integrate open-source Large Language Models (LLMs) into their projects using popular LLM APIs. Anyscale claims that Endpoints is significantly more cost-effective than proprietary solutions, with costs up to 10 times lower for specific tasks. Traditionally, developers faced challenges such as complex infrastructure, high compute costs, and time-consuming model development when working with open-source LLMs. Anyscale's Endpoints simplifies this process by offering easy API access to powerful GPUs at a competitive price, allowing developers to harness open-source LLM capabilities without the traditional complexity. Robert Nishihara, the Co-Founder and CEO of Anyscale, reportedly mentioned that historically, obstacles such as infrastructure complexity, compute resources, and cost had limited AI application developers’ use of open-source LLMs. The demand for generative AI and high-quality LLM applications is rapidly rising, with the generative AI market projected to grow from $40 billion in 2022 to $1.3 trillion over the next decade, according to Bloomberg Intelligence. Gartner notes the advantages of open-source models, including customizability, better deployment control, enhanced privacy and security, and the ability to leverage collaborative development. Anyscale offers Endpoints at a competitive rate of $1 per million tokens for state-of-the-art open-source LLMs, making LLM services more accessible to application developers. Additionally, Anyscale can quickly add new models, ensuring users have access to the latest innovations from the open-source community. Robert Nishihara, the Co-Founder and CEO of Anyscale, emphasized the significance of endpoints, stating, With seamless access via a simple API to powerful GPUs at a market-leading price, Endpoints lets developers take advantage of open-source LLMs without the complexity of traditional ML infrastructure. As AI innovation continues to accelerate, Endpoints enables developers to harvest the latest developments of the open-source community and stay focused on what matters—building the next generation of AI applications. [Source: Globe Newswire] Furthermore, Anyscale offers the option to run and use the Endpoints service within the customer's existing AWS or GCP cloud accounts, improving security and enabling the reuse of security controls and policies. Customers can also upgrade to the full Anyscale AI Application Platform for more customization and control over their data, models, and app architecture. Anyscale Endpoints integrates seamlessly with popular Python and machine learning libraries and frameworks, facilitating various use cases across different cloud platforms as AI applications evolve. Early users of Anyscale Endpoints have reported significant benefits, such as faster service deployment and cost advantages over proprietary alternatives. Anyscale's new service aims to empower developers to leverage open-source LLMs for their AI applications while reducing complexity and costs. About Anyscale Anyscale is a leading AI application platform founded by the creators of Ray, an open-source framework for scalable computing. Based in San Francisco, California, the company empowers developers of all skill levels to build, run, and scale AI applications with ease, from individual laptops to extensive data centers. Anyscale's mission is to simplify AI development by eliminating the need for distributed systems’ expertise, ensuring that every developer and team can succeed with AI. The company has gained traction in the industry, with organizations like Uber, OpenAI, Shopify, and Amazon using Ray for their machine learning platforms.

Read More

Events