Conversations around Modern Data challenges, solutions, and innovations.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
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| Issues | 205 | Founded | 4 years ago | Last Issue | 3 days ago |
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moderndata101.substack.comLatest Issues
The Semantic Layer Blackhole: From Initial Build to Perpetual Governance
If we go back to basics, a semantic layer is an agreement. It’s the organization saying “when we say revenue, we mean this, computed this way, from this data.” Agreements are easy to make once, but they are hard to keep.
That asymmetry is...
What Is an AI Operating System or AI OS
A decade ago, a small group of us sat with a question that sounded almost too simple to be worth asking: why does every company have to build its own data infrastructure from scratch?
Every organisation was independently solving the same p...
Takeaways from CXO Insights: Exclusive Interviews with Top Operators
Start with the smallest unit of “data value” you can imagine. That’s one decision. Someone is about to do something, and slightly better information would make that choice slightly better. That’s the whole atom.
Every data platform, gov...
The Evolution of Meaning: NLP’s Long March from Syntax to Semantics
Something strange happens when you say a word out loud too many times
Say “orange” right now. Say it again. Now say it thirty more times, out loud, back to back. Somewhere around repetition fifteen or twenty, the meaning is lost. “Oran...
Semantic Foundations for Reliable Enterprise AI
About Our Contributing Expert
Anvar Atash | Data & Product Leader
Anvar Atash is the founder of SirDash and a product and data leader with more than a decade of experience building data platforms, AI-powered products, and analyti...
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Authors
The writers behind this newsletter.
Solving data problems.
Data Engineer who likes to play with AI. Building & growing my Data & AI career by sharing the tools and lessons I wish I had when I started.
Building warehouse native open source master data management! https://github.com/zinggAI/zingg
Chief Architect, DataOS
Writing about what happens between AI output and human decision. Building the TRACE framework for trust-critical AI.
The Ontology Pipeline | Knowledge Infrastructure
Throughout my career, I have demonstrated a talent for focusing on Business Intelligence, Data Warehouse, and Data Governance initiatives while developing and implementing innovative data frameworks that optimize processes and drive efficiency.
Over a decade building data platforms that unify, secure, and simplify enterprise data. Focused on AI-ready, scalable systems and modern data architecture. Sharing practical insights for data leaders and builders.
Exploring how Operating Models help businesses deliver value in the form of Product.
Senior AI PM at the crossroads of Enterprise Enablement, Data, AI and Product Strategy. Real lessons from shipping AI in large orgs—for PMs and Data Leaders who want impact over hype.
Author of SHACL for the Practitioner. Ontologist who code.
Data Strategist
Best-Selling Author of Winning With AI: A Blueprint for Corporate Leaders (Amazon) | Former White House Enterprise Data/AI Strategist | Board Chair @ The AI Table | Corporate AI Advisor & Keynote Speaker | University Lecturer | Mom
Data governance and quality practitioner writing about how data actually works in the real world. Focused on turning messy data, unclear ownership, and broken processes into something teams can trust and use.
AI & data “transformation leader”, bridging tech with the public sector, foreign affairs and finance. AI is rewriting the rules of these industries and I am passionate to find where AI can help build “ a more perfect union”.
Full-stack developer sharing insights on software engineering, AI tools, and lessons learned from building products. I enjoy sketching, gaming, and turning ideas into reality.
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