Newsletter: Analytics in the AI Era
Abhinav Chouhan
I build analytics and AI capability from fragmentation into enterprise-wide operating systems that the business actually uses, trusts, and makes decisions from.
Writing for analytics leaders on AI strategy, practitioner skills, and the future of data teams.
What I Do
Bidirectional Fluency
Working from commercial outcomes down to technical approach, and from data architecture up to business impact.
Build and Scale Instinct
Building the conditions for adoption, trust, and scale — not just delivering outputs. ML platforms, insights portals, personalization engines, GenAI programs.
Current AI Edge
Actively building agentic AI applications with current tooling — not just overseeing others who do.
Commercial Accountability
Analytics only matters when it changes decisions. $500M+ partner ecosystems, P&L accountability, and executive business cases have been part of the job.
Latest from Analytics in the AI Era
Faster Analysts, Same Outcomes
AI makes individual analysts faster. Enterprise productivity does not follow automatically.
Propensity models are not dead. They got promoted.
The workflow has been stable for a decade. What is happening inside each step is not.
GenAI does not disrupt uniformly. Here is a way to think about why.
A framework for understanding how generative AI integrates differently across industries, and what that means for where you invest your attention.
Open to Conversations
If you are building analytics or AI capability — scaling it, inheriting it, or starting from scratch — I would like to hear about it.
Get in Touch