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Insights on AI infrastructure, Decision Coherence, and building systems for the machine-driven era.
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81 articles
5 Real-Time Personalization Use Cases Where a Context Lake Adds Value
Real-time personalization use cases where the live interaction is the validity window — eligibility gating, dynamic pricing, live matching, session limits — and what breaks when the context a decision reads reflects who the user was before the session, not what they’re doing in it. Not feed ranking or recommendations.
Alex Kimball|2026-07-21
5 Real-Time Data Platform Use Cases Where a Context Lake Adds Value
Real-time data platform use cases built on the post-transaction query — the balance, position, or account view a user checks right after they act, that must reflect what just happened. What breaks when that derived view is served from a pipeline behind the transaction, under concurrency.
Alex Kimball|2026-07-21![Databricks Lakebase & LTAP vs. Tacnode Context Lake](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1 1"%3E%3C/svg%3E)
Databricks Lakebase & LTAP vs. Tacnode Context Lake
Databricks just unified OLTP and OLAP on one lake. That removes copies — it doesn’t make an automated decision fresh under concurrency. Here’s where the two architectures actually solve different problems.
Alex Kimball|Jun 19, 2026Agentic Analytics Explained: Why the Data Layer — Not the Model — Decides If It Works
Agentic analytics replaces the human-driven dashboard loop with AI agents that ask their own questions, run their own queries, interpret results, and take action — autonomously. This guide explains what agentic analytics is, how the reasoning loop works, why it lives or dies on the freshness and coherence of the data layer underneath it, and where it breaks in production.
Alex Kimball|Jun 17, 20267 Real-Time Financial Services Use Cases Where a Context Lake Adds Value
Real-time financial services use cases — credit decisioning, card authorization, payments, withdrawal limits — and what breaks when the context each decision reads lags the money moving.
Alex Kimball|Jun 8, 2026Real-Time Inventory: Why Oversell Happens and How to Prevent It
Overselling isn’t a counting bug — it’s a concurrency problem. When several checkouts read the same availability before any of them decrements it, they all sell the last unit. Here’s the structural fix.
Alex Kimball|Jun 2, 2026Ready to get started?
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