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.
With an overwhelming array of AI tools, companies face the challenge of selecting solutions that meet needs without creating excessive complexity or tech debt. Key issues include evaluating maturity of vendors, balancing customization with speed, and aligning tools with business objectives. This session discusses different approaches to strategic tool selection, prioritizing integration, market maturity, and internal capabilities to optimize AI investments.
• Achieve clarity on needs by mapping AI requirements to business goals
• Optimize technology portfolios by balancing in-house builds with market solutions
• Minimize tech debt by consolidating vendors and tools strategically
• Enhance ROI by selecting mature, proven AI products
Check out the incredible speaker line-up to see who will be joining Praveen.
Download The Latest Agenda