Prahlad Madabhushi is a technology strategist and data‑science leader with 27 years of experience architecting and deploying large‑scale analytics and AI solutions for global enterprises. He most recently served as Big Data Architect at Citibank—building Spark‑based AI pipelines in Databricks, piloting enterprise data‑governance in Collibra, and architecting CI/CD workflows across Azure DevOps, GitHub Actions, and Jenkins. Prahlad holds a Business Analytics certificate from Harvard Business School and multiple AI/cloud certifications, and currently serves as COO of Intrastack Solutions while sitting on the advisory boards of several tech startups.
Beyond tech, Prahlad ran a community pharmacy for 12 years, mastering patient‑centric operations and regulatory compliance. This unique blend of deep technical expertise and hands‑on healthcare leadership equips him to speak on “Autonomy with Accuracy,” sharing practical strategies for defining error‑tolerance metrics, building feedback loops, and embedding human oversight into mission‑critical AI agents.
As AI agents become more capable, the biggest unanswered question remains: how close are we to 1–2% error rates that would make them truly reliable? Despite breakthroughs, we’re not there yet, and the path forward involves more than just better models. This panel breaks down the technical, cognitive, and operational barriers to high-accuracy agentic AI, and what needs to change in how we build, evaluate, and deploy these systems responsibly.
Check out the incredible speaker line-up to see who will be joining Praveen.
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