Insights
White papers, practitioner essays, and monthly digests on what is actually working in enterprise data and AI in 2026. No vendor content. No filler.
Recent insights
- Boutique vs Big Four for Data & AI Consulting , Every data or AI project reaches the same fork: hire one of the large firms, or a senior boutique. Both are right, for different problems.
- What Companies Hire AI Consultants For in 2026 , Companies hire AI consultants to close one gap: the distance between a pilot that demoed well and a system that runs in production and pays for itself.
- What Enterprises Are Paying For in AI Software (2026) , Companies are past free experimentation. In 2026 the money goes to enterprise-grade AI software in five categories, from cloud infrastructure to embedded add-ons.
- Salesforce Data 360 and Agentforce: The Readiness Work Behind the Reorg , Salesforce just reorganized the whole company around Agentforce and Data 360, with Agentforce past $1.2B ARR. The agents only work on a clean data foundation.
- Native BI AI in 2026: Tableau Pulse, Power BI Copilot, and Microsoft Fabric , The fastest AI win is usually the one already in the BI tool you pay for. Here is what Tableau Pulse, Power BI Copilot, and Microsoft Fabric actually add, and the one prerequisite
- AI Automation That Ships: One Production Workflow Beats Ten Demos , The fastest agentic payback is a support or SDR automation, around 3.4 months. But most teams have prototypes, not production.
- Data Visualization That Earns Trust, Not Just Attention , A beautiful dashboard on numbers nobody trusts gets ignored within a quarter. Good visualization starts with a certified metric and a real decision, not a chart library.
- Decision Support Systems: Modeling the Big Calls Before You Make Them , A dashboard tells you what happened. A decision support system models what happens if. Here is how human-in-the-loop scenario modeling turns a gut call into a defensible one, on