Modern Data 101

Cadence

Weekly

Latest

2026-10-30

By

Animesh Kumar

Based on

12 recent issues

• Covers: Modern data architecture, AI agent infrastructure, enterprise data governance, and strategic data product management.
• For: Data leaders, AI architects, product managers, and enterprise technology executives.
• Best for: Data engineers and technology leaders designing enterprise data and AI systems.
• Skip if: General consumer audiences or professionals outside data and AI engineering.

Start with

• The Lost Canvas: How the middle of the agent stack is getting crushed | Part 1: Explains market dynamics and tooling shifts across the AI agent builder ecosystem.
• Context Decoded: 10 Meanings of Context in AI: Breaks down ten technical meanings and architectural uses of context in AI.
• The Data Product’s Second Customer: Why Context Is Only Half of What an AI Agent Needs: Teaches semantic governance and requirements for feeding enterprise data to AI agents.

Visit

Summarised by AI from 12 recent issues. Audience size is not included. Prices are not included. Report a mistake.