Enterprise AI Architecture & Strategic Governance
Bridging the gap between AI hype and operational reality. Practical architecture patterns for leaders who build at scale.
By Ashish Kulkarni: Principal Enterprise Architect | PhD Researcher | 50K+ Community
PhD Researcher
16 Years Digital Transformation
50,000+ Strong Community
Principal Architect
Enterprise AI Architecture
Blueprints for Agentic Systems, and MCP integration. Moving from "Hello World" to production resilience.
Privacy & AI Ethics
Research-backed frameworks for governance. treating responsible AI as a strategic advantage, not a compliance burden.
Digital Transformations
The data pipelines that power AI. Deep dives into Analytics, Attribution, and CDPs and more.
Why Data and Luck?
Because data tells us what happened — and luck reminds us how much we don’t control.
Success is rarely the result of data alone. It’s the blend of insight, timing, and relentless iteration. I’ve spent 16 years in digital transformation learning that the best strategies combine rigorous analysis with the wisdom to adapt when patterns break.
Through Data and Luck, I share the intersection of what I’ve measured, what I’ve built, and what I’ve learned — so you can stack the odds in your favor.
People discount AI because it hallucinates - I see the countless
things it does with remarkable accuracy and recognize hallucination
as a solvable problem, not a fundamental flaw.
The question isn't whether AI is ready; it's whether humans are
ready to adapt.
- Ashish Kulkarni
Years in digital strategy and analytics
subscribers/readers across platforms