Data Costs to Business Outcomes: An Executive Conversation on AI and Snowflake
Complimentary refreshments and a networking reception will be served!
This session is for business leaders who are tired of data platforms that eat budgets, AI pilots that never scale, and technology decisions that feel disconnected from business outcomes.
If your teams are spending more on data infrastructure but seeing less clarity on ROI, this conversation is for you.
What You'll Be Able to Do
By the end of this 90-minute session, you'll know how to evaluate your organization's data spend through a business lens—not a technical one. You'll understand how to make AI a practical capability embedded in everyday workflows, not an isolated IT experiment. You'll leave with a clearer framework for aligning data investments with actual business outcomes, and the language to drive that conversation with your leadership team and board.
This Session:
✅ A non-technical, executive-level conversation about turning data spend into controlled, measurable investment
✅ Real-world scenarios showing how organizations are using AI where their data already lives—without moving it, duplicating it, or overcomplicating it
✅ Practical frameworks for evaluating your current platform against what modern AI-driven operations actually require
Perfect For:
Senior leaders who influence strategy, budgets, and outcomes—but don't want to become data engineers to do it. Those who've been told AI requires a new platform, a new team, and a massive upfront commitment—and suspect there's a better path.
Specific roles include:
Data & Analytics leaders (CDOs, VPs, Directors, and Managers of Data & Analytics)
Finance leaders (CFOs, VPs, Directors, and Managers of Finance and FP&A)
Product leaders (CPOs, VPs, Directors, and Managers of Product Management)
Operations leaders (COOs, VPs, Directors, and Managers of Operations)
Strategy and Transformation leaders (VPs, Directors, and Managers of Strategy and Digital Transformation)
No technical background required.
You'll Leave With:
📋 A cost accountability framework for identifying where your data spend is going—and whether it's generating value
📋 A practical AI readiness checklist for business leaders: what to look for, what to ask, and what to avoid
📋 A one-page conversation guide for aligning your technology and business teams around shared data and AI priorities
Our Facilitator
Madhav Krishna is a data and AI strategist at Celestial Systems with over seven years of experience helping organizations across energy, retail, and professional services turn their data investments into measurable business results. He has worked with leading enterprises including Teck Resources and Genesys — partnering with business and product leaders to cut through technical complexity and focus on what actually drives decisions and outcomes.
Madhav's work sits at the intersection of business strategy and data — helping executives understand what their data infrastructure should be doing for them, where it's falling short, and how to close that gap without a massive overhaul. He brings a practical, business-first lens to every conversation.
Space is limited to ensure meaningful conversation and peer exchange.