Biggest Challenges of Using AI in SDLC 😱

AI is transforming the Software Development Life Cycle (SDLC), but it also comes with serious challenges. 🚀

In this video, learn about the biggest risks and limitations of using Artificial Intelligence in software development, including:

✅ Data privacy concerns
✅ Dependency on high-quality training data
✅ Risks of over-relying on automation
✅ Ethical concerns in AI decision-making
✅ Why human oversight is still essential

While AI improves speed and efficiency, developers and QA teams must ensure responsible and ethical use of AI systems.

This video is perfect for:

Software Developers
QA Engineers
DevOps Engineers
AI Enthusiasts
IT Professionals
Students learning AI and SDLC

Understand both the benefits and challenges of AI-powered software development and why balancing AI with human intelligence is critical for success. 🔥

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