Bringing Data and AI to Life

If successful enterprise AI adoption is on your list for 2026, you’ve got to focus all your effort on strategy, not tools. In this episode of Bringing Data and AI To Life, host and GVP Solutions Sales and Business Development at Informatica, Amy Horowitz, welcomes Kavita Ganesan, Chief AI Strategist & Architect, Opinosis Analytics, for a browse through her playbook of getting AI right. Together, they unpack why strategy must come before tools, how to identify which AI projects will actually move the needle for your organization, and the critical steps leaders must take to govern innovation responsibly.
AI’s all the rage, but it’s time to sit down and truly understand what it can and cannot do.

The year may have changed from 2025 to 2026, but some fundamental truths about AI haven’t. In the latest episode of Bringing Data and AI To Life, host and GVP Solutions Sales and Business Development at Informatica, Amy Horowitz, kickstarts the year with Lillian Pierson, Fractional CMO & Growth Advisor, Data Mania LLC and a marketing AI educator, for a candid and eye-opening conversation on how companies can build AI-native growth systems that deliver measurable ROI, architect high-performing teams with fewer resources, while avoiding the pitfalls of "shiny object syndrome." These are the frameworks and real-world strategies that help early-stage startups and Fortune 100 companies alike harness AI for exponential growth.
But most importantly, the strategies that keep humans in control of what matters most.

As we draw the curtains on 2025, it’s time to celebrate and reflect on the tectonic shifts the data and AI landscape have brought our way. In this episode of Bringing Data and AI To Life, hosts Amy Horowitz and Nick Dobbins reflect on a remarkable year of conversations with industry leaders, unpacking breakthrough insights that separate organizations thriving with AI from those merely chasing the hype. Featuring memorable moments from guests including Alana Val-Hackett, Sean Farney, Joe Reis, Karen Pfeifer, Cara Dailey, Kevin Petrie and Eric Siegel, this episode captures the strategic themes reshaping how enterprises operationalize trusted data and responsible automation.

Regulations and governance don’t have to slow you down in the age of AI. They can actually be your competitive advantage. In the latest episode of Bringing Data and AI To Life, host and GVP Solutions Sales and Business Development at Informatica, Amy Horowitz, welcomes Anand Vijai, Head of Risk, Finance, Compliance and Enterprise Data Platforms at Citizens Bank, for a play-by-play on building the idea data experience. Tune in for actionable insights on driving innovation without sacrificing governance, an understanding of why real-time data integration and AI-ready architectures matter in banking and the practical guide for modernizing your platform at scale. Plus, Anand's three guiding principles for driving meaningful technical change in regulated industries.
This conversation delivers battle-tested strategies to turn data challenges into business opportunities.

Placing bets is always a risky game, and yet, everyone’s looking to do it with AI. So, how can you make the best possible bet? In the latest episode of Bringing Data and AI To Life, host and GVP Solutions Sales and Business Development at Informatica, Amy Horowitz, welcomes pioneering AI strategist and Forbes-ranked #1 Futurist, Jonathan Brill, to figure it out. Backed by his rich experience shaping technology at Microsoft and Samsung, he shares his insights on AI transformation today - from why the "octopus organization" model beats traditional hierarchies, to the four ways of thinking your teams need to master - these are the battle-tested strategies for building cultures where AI amplifies human capability rather than displacing it. This conversation reveals how to balance innovation with governance, rethink talent strategy and position your organization to compete in a world where technology has gone global.
Most importantly, this episode will challenge everything you think you know about AI transformation.