AI Agent Governance: What to Prepare for as AI Enters Your Stack
AI agents are here, and they’re not just suggesting actions. They are taking actions as well, on their own! The question is: who’s governing them?
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AI Predictions: Tracking the Prophecies
Humanity has always tried to predict the future. We’re swapping tea leaves for datasets. We explore our collective obsession with AGI timelines, the moving goalposts of superintelligence, and why we ultimately decided to build a scoreboard to keep everyone honest.
Operationalizing AI Ontologies
An operational intelligence layer, the ontology, models relationships of entities and actions, enabling “digital twins” for organizations.
Model Context Protocol - Intricacies on the Client Side
MCPs are all the rage. The right implementation can make or break your agentic project, and there are quite a few things to consider under the hood. We’re breaking down how data is passed around from Business Agents to MCP servers, and all the client-side intricacies you need to be aware of when implementing MCPs.
Frameworks, Protocols, and Practical Tips for Building AI Agents
Peek into the practical side of AI agent development. We cover key frameworks like LangGraph, essential protocols like the new MCP and A2A, and tips to help developers build effective AI agents.
The Rise of Reasoning Models: How AI is Learning to Think Step by Step
A concise introduction to reasoning models as the next frontier in AI, highlighting their structured thinking capabilities beyond text prediction.
Growing Smarter: How AI is Changing Consumer Goods and Retail
Most consumer goods companies leave money on the table through inefficient pricing, wasteful promotions, and preventable customer churn. Modern AI tools are helping consumer goods retailers with revenue growth management, dynamic pricing, and buyer retention.