Catch up on our latest expert discussions, agile strategies, and technology leadership insights to future-proof your career.
Showing 31–39 of 39 sessions · Page 3 of 3
Unlearning is harder than learning. Anuj Kohli on shedding habits that no longer serve you, using AI to amplify business impact rather than raw output, and what stays irreplaceable.
Watch Session →The AI freemium era is ending and token costs are climbing toward human labour rates. Srikanth Ramanujam on why that changes the replacement maths entirely.
Watch Session →Vibe checking an agent in production is not a test. Vishwajeet Shukla on building real evaluation frameworks, decoupled guardrails, and why confidence scores mislead.
Watch Session →Most companies deploying AI are about to hit a wall, not because the technology fails but because their people reject it. Satyavrat Nirala on why emotional intelligence is the lever that decides whether a rollout survives.
Watch Session →Organizations are eager to launch AI, but most prototypes never reach production. Jagatveer Singh on scoring use cases before you build, and using cloud provider funding to de-risk the work.
Watch Session →Are unexpected token costs and failed pilot programs quietly draining your AI budget? Binay Kumar Patel on why the overruns start at the design stage, long before anyone sees an invoice.
Watch Session →AI is no longer just a coding assistant. Rohit KC on embedding agents from discovery through release, and the review bottleneck that appears once developers start shipping faster than humans can approve.
Watch Session →AI will eliminate some roles and create others. Brij K Jalan on how it expands a coach's capacity rather than removing it, and why AI governance is the next credible career step.
Watch Session →Sagar Mehta rebuilt a mid-career technology role after his position was eliminated. What the early warning signs looked like, and why a network-first job search beat submitting applications.
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