ClarityQ Blog: Agentic Analytics & AI Data Strategy

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Beyond the Semantic Layer: How to Choose an Agentic Data Platform with the Right Context Layer

Orly Shoavi

Nine questions to ask every vendor before you choose a context layer for your AI, from change audits to the harness. A buyer's guide for data leaders.

Dashboards in the AI era - which to keep, convert, or retire

Don't Bring Your Dashboard Habits Into the AI Era

Nir Ingbir

For twenty years, dashboards multiplied because answers were expensive. AI changes that. Here's what dashboards are still for, and which of yours to keep, convert, or retire.

A blueprint becoming structured knowledge - ClarityQ Context Builder

Context Builder: How We Made Editing the Context Layer Feel Like a Conversation

Adi Ashkenazi, Yonatan Shurany, Idan Faibish

ClarityQ's Context Builder lets you maintain your AI context layer by talking to an agent - with drafts, diffs, an audit, and one-click rollback.

Whales, Cohorts, and Retention Curves: Where AI Analytics Agents Break on Gaming Data

Ronnie Sternberg

Generic AI agents break on gaming data: double-counted revenue, inflated cohorts, naive whale detection. The five failure modes - and how to fix them.

The Data Dialog

Beyond the Semantic Layer: How to Choose an Agentic Data Platform with the Right Context Layer

Don't Bring Your Dashboard Habits Into the AI Era

Context Builder: How We Made Editing the Context Layer Feel Like a Conversation

Whales, Cohorts, and Retention Curves: Where AI Analytics Agents Break on Gaming Data