How to benchmark agentic AI against advanced retrieval-based models?
Have you worked on any workflow transformation (with agentic AI) and sunset any legacy processes? What has been your exeprience? Did the agents do better, powered by reason etc, Is RPA, in its erstwhile form, history?
Do you think AI will be able to truly reason like humans, or will it always be advanced pattern matching?
What are the limitations of current agentic frameworks for enterprise deployment?
What’s the ethical line in using AI for testing ?
If AI becomes the primary driver of QA, how do we avoid bias?
AGI will be reasoning?
How are the answers for new patterns provided, If the thinking is not happening ?
Can AI help when E2E testing is involved?
Which industries will benefit the most from agentic AI — and which ones face the highest risk of disruption?
How do we test whether an AI agent is reasoning reliably versus just overfitting training data?
You mentioned that creative area is a good use case for AI because of hallucinations, what do you think about the future of the musician? will they be replaced?