About speaker

Mark Rittman

Rittman Analytics

CEO

Mark Rittman is founder and CEO of Rittman Analytics, a Brighton-based consultancy delivering data and analytics engineering for eCommerce, SaaS and digital-first businesses on Google Cloud, BigQuery, dbt, Looker and Cube.

He has spent thirty years building analytics platforms through the Oracle BI and OLAP years, the self-service wave, the modern data stack and now agentic AI. Rittman Analytics delivers client engagements through the Wire Framework, its own Claude Code-based delivery methodology, and Mark’s current work is on agentic analytics systems built from MCP servers and semantic layers.

Before founding Rittman Analytics he co-founded an Oracle analytics consultancy, scaling it to over 100 staff operating worldwide before exiting. He was Product Manager for Analytics at Qubit, has written two books on analytics, and hosts the Drill to Detail podcast, now in its tenth year of interviews with the people building the data industry.

Talk details

Day 38 (10/1)

11:05 – 11:50
thu 1
11:05 – 11:50
Talk
Data Intermediate

Why We’ve Tried to Replace Data Analytics Developers Every Decade Since 1974

Mark Rittman
Mark Rittman CEO at Rittman Analytics
AI Data LLM

Since 1974, new tools have promised to replace the data developer. From SQL to Self-Service BI, and now Generative AI, the dream is always the same: let business users get answers automatically. Yet, we are still here. Why? Because the bottleneck in analytics is not typing speed; it is thinking speed.

A data platform is a model of a complex business. Pointing an AI agent directly at raw data tables doesn’t bring instant insights—it brings confident hallucinations. An AI cannot simply guess your unique business logic. But this time, something fundamental has changed.

This talk explores the reality of AI-augmented data delivery. Instead of replacing us, AI upgrades our jobs. By letting LLMs handle the repetitive work such as writing boilerplate SQL, creating tests, and drafting documentation, data developers can finally focus on what actually matters: system architecture, governance, and business context.
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Data

Leadership

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AI/ML

UX/UI

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