AI Transformation
Orchestrating enterprise-wide AI adoption that fundamentally reimagines how organizations operate, compete, and create value at scale.
Where strategy meets execution. Where governance enables innovation.
I'm Piyush Vakil—patent holder, transformation leader, and Head of GenAI & Content Transformation at one of the world's largest financial institutions. Since 2011, I've been pioneering AI adoption across Fortune 100 enterprises, turning emerging technology into billions in measurable business value.
From vision to execution—the capabilities that drive transformation at scale.
Orchestrating enterprise-wide AI adoption that fundamentally reimagines how organizations operate, compete, and create value at scale.
Building the guardrails that accelerate innovation. My frameworks enable responsible AI adoption while ensuring compliance and organizational accountability.
Translating AI capabilities into P&L impact. I design frameworks that connect technology investments directly to measurable business outcomes and sustainable ROI.
Redesigning operational workflows from the ground up—embedding AI capabilities to unlock efficiency, accelerate delivery, and create competitive advantage.
Crafting enterprise-grade GenAI roadmaps that align cutting-edge capabilities with business imperatives—from content transformation to intelligent automation.
Inventor, speaker, and industry voice. I don't just follow trends—I help define where enterprise AI is headed and what it takes to get there.
Advancing the state of the art in AI, machine learning, and intelligent decisioning systems.
US20240370898A1 · Published November 2024
Invented a self-learning system that uses generative AI to automatically select customer nanosegments and generate personalized digital content—including AI-generated taglines, visuals, and offers. The system continuously improves through feedback loops.
View PatentUS20230368264A1 · Published November 2023
Developed a novel hybrid approach combining collaborative filtering with adaptive modeling to solve the "cold-start" problem in ML recommendation systems, enabling accurate predictions for new users and products from day one.
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Everything you need to know about my background, expertise, and approach.