Check all thoughts
Tarun Batra, SVP of Data & AI at Gruve, lays out the enterprise AI truth: scale comes from data readiness, not model hype. In this conversation, he shows how leaders cut hallucinations, operationalize governance, measure AI maturity, and run outcome-based programs that the board can trust.
Who should watch
CIOs, CISOs, CTOs, CDOs, and operators leading enterprise AI transformation, data strategy, security and governance, and modernization across front and back office, CX, and infrastructure.
What you’ll learn
- Data foundations first: why AI initiatives fail, how to reduce hallucinations, how to raise accuracy and trust
- AI maturity and readiness: assess culture, architecture, and data to prioritize the right pilots
- Human plus machine: design human-in-the-loop oversight that elevates work rather than replaces it
- Agents over bots: agentic AI, RAG, and on-prem or private LLM options for regulated environments
- Governance that scales: privacy, lineage, and policy guardrails without slowing innovation
- Outcome-based delivery: align metrics, budgets, and ownership so programs produce measurable ROI
