Session: Addressing productivity black holes for data analytics and AI teams

Sandeep Uttamchandani, Ph.D., VP, Analytics, AI & Data @ Intuit

Data can only be the new oil if it can fuel better and faster data-driven insights and models that drive business value and transformation. There are several bottlenecks today that slow down Data Analytics and AI teams.

In this talk, Sandeep, a seasoned leader with more than two decades of experience leading data, analytics, and AI teams, will discuss his perspective on the productivity black holes that limit Data Analytics and AI teams, and how to address them by thinking holistically across people, process, technology, data, and mindset levers.

What is the cost to attend the virtual sessions?

EDS is always free and open for all to attend.

What is Enterprise Data Summit?

Enterprise data teams are moving from dashboards and reports to powering AI agents, real time decisions, and mission critical products. At large scale, that work is shaped by platform choices, governance, cost pressure, and the realities of operating complex data systems inside large organizations.

Enterprise Data Summit is a focused day for leaders who are modernizing AI ready data platforms. It is where enterprise data engineers, platform and analytics leaders, AI and ML teams, and partners in finance, risk, and security compare notes on how to ship reliable data and AI systems at scale.

Who comes to EDS?

  • Data and analytics engineering

  • Data platform and architecture

  • AI, ML, and LLM platforms

  • FinOps and cloud cost management

  • Data governance, security, and risk or compliance

Join us for talks that include:

  • Designing AI and agent ready data platforms, including lakehouse, streaming, and vector or retrieval layers

  • Using generative AI to accelerate data work while keeping quality, lineage, and controls in place

  • Data and AI governance as the control plane for trust, access, and regulatory compliance

  • FinOps for data and AI, including unit economics, chargeback models, and practical cost controls

  • Operating models for enterprise data teams, from platform teams to data products and self service

  • Data and AI reliability and observability in production, including real incidents and lessons learned

  • Hybrid and multi cloud data strategies, sovereignty, and regionalization in regulated environments

  • Moving from AI pilots to an enterprise AI platform backed by durable data foundations

Interested in speaking at the next Enterprise Data Summit or supporting the event as a sponsor?

Please submit your talk topic here or reach out to astronaut@solutionmonday.com.

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