HeyJaredThe Data Ecosystem
Data isn't easy. It's incredibly complex. What is worse though, is nobody appreciates how complex it is. And nobody has really tried to solve it. So enter this newsletter, tackling the must-know parts of the Data Ecosystem one topic at a time!
- Indexed issues, last 90 days
- 13
- Latest publication
- Sep 27, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 5, 2026
Latest issues
Issue #71 – The Agentic CDP (opens the original)
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Read time: 14 minutesTL;DRAgentic AI is still maturing for non-technical teams; marketing will likely be the first to change as agents are impacting the customer journey from both sides (for research and purchasing, and to understand and engage those same customers).CDPs are a great technology for marketing teams, but they are middleware tools that usually sit outside the governed data estate and were not built with Agentic AI in mind
Issue #70 – The Debt AI Creates (opens the original)
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Read time: 16 minutesTL;DR:AI debt is everything your AI tools, agents and AI-built systems produce that nobody reviews, owns or can explain later on. It comes from three places: (1) the tech, data, and context debt your AI inherits, (2) cheaply built AI outputs that are never checked, and (3) the memory your AI harness accumulates that may not be rightBecause of how fast we build with AI, review time can’t keep up meaning we understand less o
Issue #69 - Making Data Debt Approachable (opens the original)
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Read time: 15 minutesTL;DR:Data debt is the valuable information you have collected and stored, but cannot draw on (or if you can, it isn’t usable). This is a different problem from data quality; it is about accessing this hidden, valuable information and using it to draw out insightsThe reason it never gets solved is that most organizations define it as a catchall which turns it into a behemoth project nobody can start. If you narrow the issue to access, it becomes more manageable
Issue #68 – Understanding Technical Debt (opens the original)
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Read time: 16 minutesTL;DR:Tech debt is every tool, license, and legacy system that costs you time and money, and while it may do something important, it is not doing it efficiently, and nobody will bother replacing it due to the enormity of the workTech debt has three different costs: the resources required to keep it working, the technology itself, and the opportunity cost/ operational efficiency you lose because the system doesn’t evolve (this is the biggest cost)<p
Issue #67 – How the Data & AI Ecosystem has Evolved (opens the original)
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Read time: 12 minutesTL;DRThe Data Ecosystem map is a single-page view of everything that must work together for an organization to derive value from its data: business drivers on the left, the data lifecycle in the middle, consumption and decision-making on the right, management underneath, and external influences around the edgesAI runs through every domain, which is why this newsletter is now called The Data & AI EcosystemThe two new zones on the map
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