Ascendion’s Post

The latest insights from the Ness-Zinnov Study revealing that Generative AI is a game-changer in Software Engineering, boosting productivity by a whopping 70%! 🤯💻 This transformative technology is reshaping the landscape of software development, bringing forth unprecedented efficiency and innovation. The study showcases how Generative AI is streamlining processes, reducing time-to-market, and enhancing overall software quality. As we embrace the future of technology, it's evident that AI is not just a tool but a catalyst for exponential growth in the software industry. How has Generative AI impacted your work or projects? Share your thoughts! 🤔💬 #GenerativeAI #SoftwareEngineering #TechInnovation

The latest insights from the Ness-Zinnov Study revealing that Generative AI is a game-changer in Software Engineering, boosting productivity by a whopping 70%! 🤯💻 This transformative technology is reshaping the landscape of software development, bringing forth unprecedented efficiency and innovation. The study showcases how Generative AI is streamlining processes, reducing time-to-market, and enhancing overall software quality. As we embrace the future of technology, it's evident that AI is not just a tool but a catalyst for exponential growth in the software industry. How has Generative AI impacted your work or projects? Share your thoughts! 🤔💬 #GenerativeAI #SoftwareEngineering #TechInnovation

While productivity is a known outcome of GenAI initiatives, a new report, Harnessing the Power of Generative AI in Transforming Software Engineering Productivity, by Ness Digital Engineering, a full-lifecycle digital services transformation company, and Zinnov, a global management and strategy consulting firm, measures the actual productivity gains resulting from deploying GenAI at an engineering level. The study is aimed to help CTOs, CIOs, and CPOs understand engineering productivity’s technology and psychological drivers and the long-term ramifications on business and organizational design.

Software engineering productivity through When are we going to see this reflected in the significant cost reduction in programming efforts of IT projects? The study [ of Zinnov and Ness Digital Engineering ] revealed that Generative AI implementation not only increases productivity but also allows for deeply assisted context, enabling companies to globalize work frictionlessly. The implication of this is not just better business outcomes but an entirely transformed organizational design. Other key observations that emerged were: 70% Reduction in Task Completion Time for Existing Code Updates: Engineers witnessed maximum impact when utilizing existing codebase functions, leading to reduced development cycle time. 48% Reduction in Task Completion Time for Senior Engineers: Senior engineers witnessed reduced task completion time and found themselves using their time to plan better and assist junior engineers. ~10% Reduction in High Code Complexity Tasks: Generative AI enables engineers to navigate complex coding scenarios with increased efficiency, contributing to faster and more accurate resolutions. 70% Improved Engagement: By simplifying tasks and fostering a more collaborative and dynamic work environment, Generative AI plays a pivotal role in creating a positive and fulfilling professional experience. This shift challenges traditional organizational structures by focusing more on expertise and efficiencies that will be assisted by technology but controlled and decided by people. This will mean a new kind of workforce – where domain expertise and problem-solving capabilities will preside over technology skills. #genai #generativeai #softwareengineering #productivity #costreduction #expertise #domainknowledge Source: https://lnkd.in/enJecw2Q

Shift your development and verification efforts to the left and avoid cost overruns with Model-Based Design. This approach helps you catch design issues early in the process to prevent costly delays. #modelbaseddesign, #Simulink, #DevOps, #AI, #SystemsEngineering, #SoftwareEngineering, #DigitalTwin

🔥 Hot off the press! Nick Chadwick runs down his picks for digital engineering tools needed for AI development & accelerated mission #innovation. Digital engineering tools unlock enormous efficiency & collaboration benefits for AI development across large, decentralized organizations. What's in your stack? #digitalengineeringforAI #NTStudioDX #datamanagement #modelops #IDEs #workflows #visualization #explainableAI

Artificial Intelligence (AI) is fast becoming a key pillar for Digital Transformation, with businesses leveraging this disruptive innovation to seek even greater efficiency and innovation than before. Yet, as the saying goes, it takes two to tango. There is no doubt that AI has helped transform the way we complete tasks, reduce complexity or generate new ideas. But when paired with automation, the potential to drive positive outcomes grows exponentially. This is especially so in the field of software quality engineering. Thank you, Tech Collective Southeast Asia for allowing me to share my thoughts on how organisations can leverage AI-assisted automation to modernise their applications at greater speed and scale without compromising on quality. I’m curious to know if AI-driven automation is on your organisation’s list of priorities, let me know in the comments below! https://lnkd.in/gRtee7gF #Tricentis #artificialintelligence #digitaltransformation #innovation #automation

Timely article - who doesn’t feel some anxiety today about whether we have what it takes to leverage AI and automation to stay relevant? Here are my top 5 inferred takeaways on the skills we’d need to win at this new game. What’s yours? 👩🏻⚖️ Analytical Judgment: The ability to make sound decisions and judgments, especially in determining when to use AI and making critical calls. 🌊 Flexibility: Being adaptable and open to change, as the landscape of work is evolving rapidly due to AI. 🧩Critical Thinking and Problem-Solving: These skills are essential for navigating complex work environments and making strategic decisions. 💬Effective Communication: The capacity to communicate clearly and collaborate effectively with others, as well as the empathetic and communicative aspects of roles that are challenging to automate. 🫀Design Thinking and Design Skills: These skills enable humans to decide the degree of human control and computer automation for solving key human challenges.

#ITU2030 puts #AI in all aspects and use cases of #6G Framework. All network functions, all network layers. nothing left behind.

How #Generative #AI Could Impact Network Planning, #RAN Configuration, and #Spectrum Management (Part 2) @5GAmericas #blog https://lnkd.in/gGnBNw8S