Complete Context: The Foundation for AI That Actually Works
Webinar Speaker: Prashanth Southekal, Ph.D., Research Fellow
Date: Friday, March 27, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
70% of enterprise AI programs fail. Not because the models are wrong. Because the data is incomplete.
Your agents see backend logs but miss the human dimension. They know documented processes but not how work actually gets done. And they're running on fragmented infrastructure that was never designed for AI at scale.
That's not an AI problem. That's a context problem. And it's solvable.
Join experts from TDWI, Skan AI, and Databricks to learn why most enterprise AI falls short, how the best companies are fixing it, and how to put your organization ahead of the pack.
Why most enterprise AI fails (and yours doesn't have to). Most agents are trained on partial data, and it shows. Learn why complete context, every action across every application and system, not just what lives in logs, is the difference between AI that executes and AI that embarrasses.
How to turn complete context into competitive advantage. See how unifying comprehensive work observations with business data on a platform such as the Databricks Data Intelligence Platform creates a single source of truth for training, deployment, and governance. One platform. Full visibility. No integration tax.
How Fortune 500 companies are already winning with this approach. Hear case examples delivering $11M to $30M in operational improvements across insurance, healthcare, and financial services. These aren't experiments. These are production AI agents executing complex work at scale.
Whether you're stuck in pilot purgatory or building your AI strategy from scratch, this is your playbook for enterprise AI that actually delivers. Register now to see how leading enterprises turn complete context into measurable AI success.
Guest Speakers
Vasudha Gupta
Field Engineering Leader
Databricks
Vasu is a Field Engineering Leader in the Financial Services vertical at Databricks, where she leads teams focused on new customer acquisition and partners with leading organizations to adopt the Databricks Data Intelligence Platform. She brings over 16 years of experience driving enterprise growth through cloud adoption, data, and AI.
Prior to Databricks, Vasu held leadership roles at Google, where she led customer engineering teams within financial services. She also spent a decade delivering large-scale implementations at Slalom and Deloitte. Her expertise spans the full customer lifecycle, including pre-sales, post-sales, partner management, and cloud platform strategy, with a strong track record of enabling hypergrowth.
Vasu has deep experience designing and building data and analytics solutions that power digital transformation across industries, including financial services and healthcare. She is also a passionate advocate for diversity, equity, and inclusion, championing initiatives such as the Future of Work for Women and broader diversity commitments.
Dan Dantus
VP, Agentic AI Solutions
SkanAI
Dan Dantus is VP of Agentic AI Solutions at Skan AI, where he leads go-to-market strategy for the company's agentic AI solutions. With a career spanning Boston Consulting Group, BlinkRx, and JUUL Labs, Dan is focused on how AI can drive real operational outcomes at enterprise scale. He holds a BBA from the University of Michigan's Ross School of Business.
Prashanth Southekal, Ph.D.