Conversations around Modern Data challenges, solutions, and innovations.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
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| Issues | 199 | Founded | 4 years ago | Last Issue | 4 days ago |
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moderndata101.substack.comLatest Issues
A Strong Suite in Agentic Strategy: Data Apps
About Our Contributing Expert
Parth Khatke | Full Stack Developer
Parth Khatke is a full-stack developer who combines the curiosity of a builder with the discipline of an engineer. Currently at The Modern Data Company, he works a...
The Ontology Engineering Challenge is Not Building It, but Mirroring the Delta
Every language model has built a map of your business concepts. The real engineering challenge isn’t constructing an ontology, but deciding where your enterprise’s meaning diverges from the one the model already has, and correcting only tha...
The Retrieval Layer between Your Data and Your AI Outputs is a Product Decision
About Our Contributing Expert
Ankita Chatrath | Vice President, Finance AI Hub
Ankita Chatrath is a Senior AI Product Manager and fintech product leader with over a decade of experience building data and AI-powered enterprise pla...
The AI Promise: A Pyramid View of What Lingers
A few issues ago, I shared my experience on how I found myself ambushed by a fragrance in a mall corridor. It had that peculiar quality of reaching your feet before your brain has processed anything. I ended up writing about it as a way of...
Five Architectural Patterns for Secure, Role‑Based Access in Government BI
About Our Contributing Expert
Gopi Mannava | Chief Data Architect, State of Connecticut
Gopi Mannava is a public-sector data architecture leader and Chief Data Architect at the State of Connecticut, where he leads the design of e...
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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.
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
Principal (Data) Engineer. Coined Data Contracts. Father of 2. Brewer of beer.
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- "Data Quality ROI" Principal Data Governance & Quality Specialist @Thoughtworks, Netherlands
Author of SHACL for the Practitioner. Ontologist who code.
Product Manager specializing in complex digital platforms and global ecosystems.
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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