Pragmatic AI Transformation & Responsible Adoption | Coffee Conversations Full Episode 11

About This Episode

In this thought-provoking episode of Coffee Conversations, Jagan Mohan Jami sits down with Uma Meyyappan, an industry veteran with decades of experience driving innovation in financial services and healthcare technology. Uma, who has held senior leadership roles at LPL Financial and Wells Fargo, was recognized among the Top 20 Women Leaders in the Bay Area, and is an inventor with 30+ U.S. patents. She shares her perspective on blending emerging technology, enterprise governance, and human ingenuity to create lasting transformation.

Together, Jagan and Uma explore what it takes to build innovation cultures that deliver measurable business outcomes not just shiny proofs of concept. From identifying the right use cases and managing technical debt, to setting up governance models and building high-performing teams, this conversation dives deep into the real mechanics of enterprise modernization.

Key Topics Discussed

1. Innovation That Starts with Purpose
Uma shares how necessity, not novelty, drives her approach to identifying pain points and designing simple, effective, scalable solutions.

2. Balancing Push and Pull Innovation
How leaders can blend push innovation (technology-led ideas) and pull innovation (business-led needs) to ensure every transformation effort has real impact and sponsorship.

3. Managing Risk and Technical Debt
In highly regulated industries like finance and healthcare, Uma emphasizes the importance of taking calculated risks — advancing innovation with “A leash-dog approach”.

4. From Innovation Lab to Business-as-Usual
Uma shares her framework for transitioning ideas into real-world impact ensuring alignment with business priorities, securing buy-in, and maintaining momentum through pilots and POCs.

5. The AI-Driven Enterprise
How to pick the right AI use cases based on ROI, governance, and business relevance and how enterprises can accelerate responsibly.

6. Governance for the AI Age
A deep dive into AI governance frameworks including how to structure AI councils, define intake processes for new use cases, ensure explainability, and align models with data privacy and ethical standards

Learn more:

► Subscribe to Acuvate on YouTube here:    / acuvatesoftwarehq  

► Follow us on social:
LinkedIn:   / acuvate  
Twitter:   / acuvate  
Instagram:   / acuvate  
Facebook:   / acuvatesoftware  

For more about Acuvate, our technology, and our mission, visit- https://acuvate.com/