Conversations around Modern Data challenges, solutions, and innovations.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
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| Issues | 209 | Founded | 4 years ago | Last Issue | 8 days ago |
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moderndata101.substack.comLatest Issues
Connecting Is Not Aligning: The Governance Gap Your Observability Stack Cannot Close
About Our Contributing Expert
Frédéric Verhelst, PhD | Chief Data Officer, Non-Executive Director, & Advisor
Frédéric Verhelst, PhD, is a data and AI governance executive and the author of The Ontology Imperative, a series on why...
The Forgotten Measure of Data Quality: Decision Quality
About Our Contributing Expert
Dr. Sebastian Wernicke | Partner at Oxera, Author of Data Inspired, TED Speaker
Dr. Sebastian Wernicke is a data and AI transformation leader, Partner at Oxera, bestselling author of Data Inspired, a...
What Government Data Teams Understand That Silicon Valley Often Misses
About Our Contributing Expert
Josh Goldstone | Independent Consultant, Public Sector
Josh Goldstone is a data and analytics leader specialising in helping organisations build practical, decision-focused data capabilities. As a Da...
The AI-Native's Woes of Persistent Memory
Type “AI-native” into any search bar, and you’ll find a hundred companies claiming the label and almost no shared definition of what it requires.
This is a consequence of mass-herding. Am I also not writing about AI-native here while oppos...
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...
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Authors
The writers behind this newsletter.
Solving data problems.
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
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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