Organizations are under constant pressure to maintain a competitive edge by innovating and delivering secure applications more rapidly. According to a recent study by IDC, they predict that by 2027, AI will dramatically increase developer velocity by automatically generating code to meet functional business requirements for 80% of new digital solutions.
Join Digital.ai experts Tina Sturgis, Ankur Trivedi and guest speaker, Katie Norton, Research Manager at IDC for an insightful discussion on how AI is transforming the software development lifecycle (SDLC) by boosting developer productivity and addressing key challenges.
During this webinar you’ll learn how to:
- Boost Developer Productivity: Discover how AI coding assistants are automating routine tasks, allowing developers to focus on creative problem-solving and innovation.
- Address Key Challenges: Explore strategies for ensuring the security and quality of AI-generated code, managing increased code volume, and optimizing testing and deployment processes.
- Adjust Across the SDLC: Learn about essential adjustments needed for increased code volume and velocity, including enhanced automation, visibility, governance, and standardization.
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Speakers:
Tina Sturgis, Vice President, Product and Solution Marketing, Digital.ai
Katie Norton, Research Manager, DevSecOps & Software Supply Chain Security, IDC
Ankur Trivedi, Global Practice Lead, Release & Deploy, Digital.ai
