Product strategy, platform governance, and responsible AI.

Arun Natarajan

Practitioner perspective for regulated enterprises, data platforms, and AI enablement.

What PRODCOB covers

Judgment for the decisions technology leaders are accountable for.

Written for executives, boards, risk professionals, and senior technologists who have to weigh tradeoffs, not just adopt tools.

  • Enterprise technology, cloud, and data platforms

    How platform choices shape cost, resilience, and what the business can build next.

  • AI/ML governance and risk

    Putting oversight, model risk, and accountability around AI that is already in use.

  • Controls automation and operational resilience

    Turning controls into systems that run, evidence themselves, and hold up under stress.

  • Regulatory frameworks and accountability

    Reading what regulation asks of leaders and translating it into ownership.

  • Technology leadership and product strategy

    Prioritization, operating models, and the calls that sit between product and platform.

  • Back2Front: Advanced Basics

    Technical fundamentals explained accurately, for leaders who want to understand the machinery.

Latest · Back2Front

Full Load vs Incremental Load: ADF + Azure Databricks Quick Study Guide

A study guide to the two core data-loading patterns, using Azure Data Factory and Azure Databricks as the working example.

Read the guide

The series

Back2Front: Advanced Basics

Short, technically accurate explainers on the building blocks underneath enterprise data and cloud platforms.

Each one aims to leave you able to ask better questions of the teams building on them.