--- title: "Context & Chaos | Newsletter For Enterprise Data & AI Practitioners" url: "https://atlan.com/context-and-chaos/" description: "The free weekly newsletter for enterprise data & AI practitioners. Thought leadership, hot takes, real architecture, real tradeoffs, vendor neutral, completely community driven. 20,000+ subscribers." keywords: "context engineering newsletter, metadata weekly rebrand, context and chaos newsletter, data and AI newsletter, context layer, context graphs, enterprise AI practitioners, context engineering community, metadata, data & AI governance" --- > Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/ **Context & Chaos: where context meets the chaos of building with AI.** A free weekly newsletter for enterprise data & AI practitioners and leaders, published by Atlan (formerly Metadata Weekly). Real takes from data and AI practitioners. No vendor slides. No hype. Just what actually happened, what worked, and why it matters. 20k+ subscribers / weekly drops / zero vendor talk. Subscribe on the page: [https://atlan.com/context-and-chaos/](https://atlan.com/context-and-chaos/). ## Latest issue As listed on the page: [5 Questions on Context We Still Can't Answer](https://atlan.com/context-and-chaos/issue/5-questions-on-context-we-still-cant-answer/). - The bottleneck to enterprise AI moved from the model in 2024 to the harness in 2025 to context in 2026, yet nobody agrees on what context means. The useful work is answering the practical questions practitioners ask in the same words regardless of industry, starting with how to make the business case to a CFO. - Enterprise AI needs reliable, consistent execution, and an agent that is right 97% of the time cannot run a business process. Context is a system to be managed like code: modeled, retrieved, ranked when sources conflict, versioned, tested before release, and rolled back when it breaks. - Once agents cross team boundaries, context becomes an operating-model problem: one skill update can reach outbound emails, website messaging and product copy. And because context is the customer's intellectual property, it has to keep its owner, permissions, provenance and version history when the company changes platforms. ## Practitioner takes Newest first. Full archive: [https://atlan.com/context-and-chaos/all-practitioner-takes/](https://atlan.com/context-and-chaos/all-practitioner-takes/). - [Your Ontology Records Permission. It Does Not Resolve Authority.](https://atlan.com/context-and-chaos/issue/your-ontology-records-permission-not-authority/): Parviz Shariff, Principal Enterprise Architect, Data & AI, Coca-Cola HBC. "The record is valid, the approver holds the role, and the safeguard has quietly become ceremonial." - [The Operating Model for Shipping AI-Generated Context](https://atlan.com/context-and-chaos/issue/the-operating-model-for-ai-generated-context/): Nandini Tyagi, Strategic Initiatives, Atlan. "The compounding has a direction, and nobody gets to pick it." - [Four Architectures That Make AI Work](https://atlan.com/context-and-chaos/issue/four-architectures-that-make-ai-work/): Colin Hardie, Chief Data Architect, SEFE. "The model is almost never what failed. AI removes the places poor design used to hide." - [Is the Data Catalog Finally Dead?](https://atlan.com/context-and-chaos/issue/the-data-catalog-for-humans-is-dying/): Prukalpa Sankar, Co-founder & Co-CEO, Atlan. "The catalog isn't dying. Its reader is changing." - [AI Ontology: Bottom-Up Doesn't Mean Starting From Scratch](https://atlan.com/context-and-chaos/issue/ai-ontology-bottom-up-doesnt-mean-starting-from-scratch/): Emily Winks, Data Governance Expert, Atlan. "Every claim carried a source and a confidence score. Not one could say when it stopped being true." - [Enterprise AI's 200-Millisecond Problem](https://atlan.com/context-and-chaos/issue/enterprise-ais-200-millisecond-problem/): Dan McCreary, Author, Context Graph and Token Efficiency. "Your retrieval path has about 200 milliseconds to decide which twenty thousand." - [Your Agent Doesn't Need to Walk the Graph](https://atlan.com/context-and-chaos/issue/your-agent-doesnt-need-to-walk-the-graph/): Andrew Lentz, Solutions Consultant, Atlan. "The graph was a box on a slide with an arrow running into it." - [Gartner Hype Cycles 2026: Nobody Owns Context](https://atlan.com/context-and-chaos/issue/gartner-hype-cycles-2026-nobody-owns-context/): Tathagata Das Sarma, Head of Analyst Relations and Market Intelligence, Atlan. "314 obstacles across ten reports, and a vacancy sitting between two org charts." - [Your Agents Are Code. Stop Governing Them Like Documents.](https://atlan.com/context-and-chaos/issue/your-agents-are-code-not-documents/): Vivek Dubey, Data & AI Leader, Atlan. "You cannot inventory agents fast enough to govern them. You can govern the parts they are made of." - [AI Slop Produced by a Human Is a Yellow Flag](https://atlan.com/context-and-chaos/issue/ai-slop-is-a-yellow-flag/): Prukalpa Sankar, Co-founder, Atlan. "Adoption numbers tell you people are using AI. They do not tell you if the company is getting more capable." - [I Got Long](https://atlan.com/context-and-chaos/issue/i-got-long/): Landon Pangburn, Enterprise Account Executive, Atlan. "Why context portability is the threat most AI programs cannot see yet." - [The GitHub for Context Doesn't Exist Yet](https://atlan.com/context-and-chaos/issue/the-github-for-context-doesnt-exist-yet/): Prukalpa Sankar, Co-founder, Atlan. "Git versions text, not meaning. Context has the diffs and none of the rest." - [Your AI Dashboard Is Hiding Its Worst Failures](https://atlan.com/context-and-chaos/issue/your-ai-dashboard-is-hiding-its-worst-failures/): Swati Tyagi, Applied AI/ML Expert. "The metrics that look green on the dashboard are the ones hiding where your system actually fails." - [Production AI & The False Finish Line](https://atlan.com/context-and-chaos/issue/production-ai-the-false-finish-line/): Ankit Anand, Managing Consultant, Syniti. "Why the accountability gap in your AI deployments was decided at the go-live celebration." - [How to make Satya Nadella's vision a reality](https://atlan.com/context-and-chaos/issue/how-to-make-satya-nadellas-vision-a-reality/): Prukalpa Sankar, Co-founder, Atlan. "The vision of AI as a compounding learning machine is right. But the context layer it needs has three architectural components most enterprises are missing." - [The Godfather Problem](https://atlan.com/context-and-chaos/issue/the-godfather-problem/): Landon Pangburn, Enterprise Account Executive, Atlan. "Your AI's context has a floor. Most teams have never measured theirs. Here's the one number I use." - [Snowflake Summit 2026: Everyone Owns Context Now.](https://atlan.com/context-and-chaos/issue/snowflake-summit-2026-everyone-owns-context-now/): Austin Kronz & Vivek Dubey, Data & AI Practitioners. "Nobody Owns the Hard Half." - [What an Enterprise Context Layer Actually Is](https://atlan.com/context-and-chaos/issue/what-an-enterprise-context-layer-actually-is/): Prukalpa Sankar, Co-founder, Atlan. "A skill is the new primitive that does for procedural knowledge what code did for logic in software - making the way work gets done reusable, versionable, testable, and portable across every agent." - [Four Arguments Ontologists Never Finished (And Why AI Teams Will Have Them Again)](https://atlan.com/context-and-chaos/issue/four-arguments-ontologists-never-finished/): Kurt Cagle, Ontology Expert & Knowledge Graph Architect. "AI teams are hitting the same four semantic failure modes that ontologists debated for 25 years - usually without knowing the map already exists." - [Your AI Context Layer Is Being Built on Stale Metadata](https://atlan.com/context-and-chaos/issue/your-ai-context-layer-is-being-built-on-stale-metadata/): Amanda Darcangelo, Sr. Lead Data Consultant, OneSix. "Why governance programs decay after go-live, and why AI agents make that decay existential." - [The Context Layer - Knowledge Graph's Second Act](https://atlan.com/context-and-chaos/issue/the-context-layer-knowledge-graphs-second-act/): Prukalpa Sankar, Co-founder, Atlan. "Knowledge graphs had their moment. Context graphs are the second act - built for the age of AI agents." - [If Intelligence Is Abundant, What Is the Moat?](https://atlan.com/context-and-chaos/issue/if-intelligence-is-abundant-what-is-the-moat/): Prukalpa Sankar, Co-founder & Co-CEO. "Performance is intelligence times context. The labs solved one side. Your enterprise has to solve the other." - [The Onboarding Gap is Killing your AI Agents](https://atlan.com/context-and-chaos/issue/the-onboarding-gap-is-killing-your-ai-agents/): Vivek Dubey, Data & AI Leader. "By month two, your best human is autonomous. Your best agent is still guessing." - [Your Team Isn't Afraid of AI. They're Afraid of Being Wrong About AI.](https://atlan.com/context-and-chaos/issue/your-team-isnt-afraid-of-ai-theyre-afraid-of-being-wrong-about-ai/): Nandini Tyagi, Strategic Initiatives. "What your team's hesitation is actually telling you." - [Conceptual Modeling Is the Context Engineering Nobody Is Doing](https://atlan.com/context-and-chaos/issue/conceptual-modeling-is-the-context-engineering-nobody-is-doing/): Juha Korpela, Co-founder & Data Modeling Expert. "The discipline data teams abandoned in the Big Data era is exactly what AI agents need now." - [Context Graphs as AI Evaluation Infrastructure](https://atlan.com/context-and-chaos/issue/context-graphs-as-ai-evaluation-infrastructure/): Sandipan Bhaumik, Tech Leader - Data & AI. "The Governance Layer Enterprise AI Has Been Missing." - [Metadata Weekly Is Now Context and Chaos (& Cats!)](https://atlan.com/context-and-chaos/issue/metadata-weekly-is-now-context-and-chaos/): Prukalpa Sankar, Co-founder, Atlan. "The field moved to context engineering. The name finally caught up." - [BI-Ready Is Not AI-Ready](https://atlan.com/context-and-chaos/issue/bi-ready-is-not-ai-ready/): Vivek Dubey, Data & AI Leader. "Your dashboards work. Your governance is solid. Your AI agent still hallucinates." - [Gartner D&A 2026: Where the Context Layer Became a Budget Line Item](https://atlan.com/context-and-chaos/issue/gartner-danda-2026-where-the-context-layer-became-a-budget-line-item/): Tathagata Das Sarma, Data Leader. "Gartner's spending data, analyst predictions, and three days of floor conversations all pointed the same direction." - [Data Governance vs AI Governance: Why It's the Wrong Battle](https://atlan.com/context-and-chaos/issue/data-governance-vs-ai-governance-why-its-the-wrong-battle/): Charlotte Ledoux & Vivek Dubey, Data Governance Experts. "The risk surface has expanded. The answer is one control plane, not another silo." - [OpenAI's Frontier Proves Context Matters. But It Won't Solve It.](https://atlan.com/context-and-chaos/issue/openais-frontier-proves-context-matters-but-it-wont-solve-it/): Prukalpa, Co-founder, Atlan. "Frontier validates the enterprise context thesis - yet risks accelerating AI sprawl unless organizations rethink context architecture." - [Gartner D&A 2026: The Conversations We Should Be Having This Year](https://atlan.com/context-and-chaos/issue/gartner-danda-2026-the-conversations-we-should-be-having-this-year/): Tathagata Das Sarma & Vivek Dubey, Data Leaders. "A field guide to the questions worth debating in the hallways, and a checklist you can keep on your phone." - [The Context Problem Nobody's Fixing in Talk to Data Initiatives (NL to SQL)](https://atlan.com/context-and-chaos/issue/the-context-problem-nobodys-fixing-in-talk-to-data-nl-to-sql/): Manoj Shanmugasundaram, Data Engineering Leader. "What testing natural language-to-SQL on enterprise-scale schemas revealed about production readiness." - [The Human Elements of the AI Foundations](https://atlan.com/context-and-chaos/issue/the-human-elements-of-the-ai-foundations/): Gaurav Ramesh, Director of Engineering. "What AI quietly revealed about incentives, culture, and fragile foundations." - [Semantic Layers Failed. Context Graphs Are Next... Unless We Get It Right](https://atlan.com/context-and-chaos/issue/semantic-layers-failed-context-graphs-are-next/): Prukalpa, Co-founder, Atlan. "Context graphs are a hot new conversation these days. And yet I feel like I've seen this story before." ## Expert directory 15+ practitioners. All perspectives. Shown: Austin Kronz (Data & AI Practitioner), Amanda Darcangelo (Sr. Lead Data Consultant, OneSix), Vivek Dubey (Data & AI Leader), Prukalpa Sankar (Co-founder, Atlan), Tathagata Das Sarma (Data Leader), Charlotte Ledoux (Data Governance Expert), Manoj Shanmugasundaram (Data Engineering Leader), Vince Dacany (CTO), Gaurav Ramesh (Director of Engineering), Jessica Talisman (Ontology Expert), Marc Dupuis (CTO & Cofounder), Mahdi Karabiben (Sr. Product Manager, Data & AI), Sandipan Bhaumik (Tech Leader - Data & AI), Juha Korpela (Co-founder & Data Modeling Expert), Nandini Tyagi (Strategic Initiatives), Kurt Cagle (Ontology Expert & Knowledge Graph Architect). All profiles: [https://atlan.com/context-and-chaos/experts/](https://atlan.com/context-and-chaos/experts/). ## What is Context & Chaos? A free weekly newsletter for enterprise data & AI practitioners and leaders. The field moved to context engineering; the newsletter moved with it. Every week, practitioners working in the trenches share what broke, what worked, and what they'd do differently. Coverage: context graphs, data contracts, retrieval architecture, agent memory design, AI governance, and the full stack of infrastructure that makes enterprise AI reliable at scale. It is a community-led newsletter program distributed via Substack and LinkedIn to 20,000+ data and AI professionals worldwide. New issues land every week; all issues are free, permanently archived, and written for the people doing the work. ## Who reads it 1. **Context engineers**: designing the retrieval and grounding layers that AI agents depend on. 2. **Data engineers**: building pipelines that need to be AI-ready, not just analytics-ready. 3. **AI engineers**: deploying agents in production and hitting the limits of what foundation models provide out of the box. 4. **Data governance professionals**: navigating AI compliance without blocking teams. 5. **CIOs, Chief Data and Chief AI Officers**: making architectural bets on context infrastructure. ## What each issue covers Three types of issues. One commitment: no filler. - **Practitioner Deep Dives** (Deep Dive): an external contributor who shipped something real writes about the actual architecture, the failure modes they encountered, and the tradeoffs they navigated. Contributors include engineers from fintech, healthcare, media, and enterprise data teams. - **Editor's Take**: Prukalpa Sankar, co-founder of Atlan, writes on what's shifting in the field: Gartner signals, community debates, vendor noise vs. actual direction. - **Signal Pieces** (Signal): sharp recaps of events, research, and moments that moved the context engineering conversation. Short, sourced, opinionated. No sponsored content. No vendor roundups. No AI-generated summaries dressed as insight. ## Written by the community, for the community Issues are written by practitioners and leaders across the field (data engineers, AI architects, governance leads, technical founders) sharing work from real-world production environments. The team works with contributors to preserve their voice and protect specifics they cannot share publicly. Contributor guidelines: [https://atlan.com/context-and-chaos/contribute/](https://atlan.com/context-and-chaos/contribute/). ## FAQs **Is Context & Chaos free?** Yes. It is a free weekly newsletter on context engineering and enterprise data & AI infrastructure, with no paywall or registration required. All issues are published openly on Substack, LinkedIn, and the permanent atlan.com/context-and-chaos/ archive. Subscribers receive new issues every week by email. **How is this different from other data and AI newsletters?** It is an opinionated, practitioner-written newsletter focused on context engineering and the infrastructure layer between enterprise data and AI. Unlike aggregator newsletters that compile link roundups or job listings algorithmically, every issue is authored or editorially reviewed by data and AI practitioners, not vendor marketing teams. **How often does it publish?** Weekly. Each issue is delivered by email through Substack and LinkedIn and simultaneously archived on atlan.com/context-and-chaos/. Past issues remain permanently accessible across all three surfaces. **Can I read past issues without subscribing?** Yes. The complete archive is freely accessible on atlan.com/context-and-chaos/ and Substack without a subscription, paywall, or registration, including newsletters originally published under the Metadata Weekly brand before the rebrand to Context & Chaos in 2026.