CTO Perspectives: An AI Reality Check
If you're in sales or management, it can be tough to tell what matters from noise. Here’s our reality check for the 2025 tech market, covering where AI truly stands today.
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Digital Twin
Auditing Webshop Listings: How We Turned BigQuery into an AI Data Quality Engine
E-commerce platforms struggle with mismatched product titles and images. We built a solution for a Kaggle challenge that uses BigQuery and Gemini to act as an automated catalog auditor, classifying millions of listings for consistency and providing actionable insights to improve data quality.
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?
Operationalizing AI Ontologies
An operational intelligence layer, the ontology, models relationships of entities and actions, enabling “digital twins” for organizations.
Imagine AI Beyond Chat
Regardless of advances in human-computer interaction, typing at least a part of our commands remains a staple. Now, ChatGPT is pretty much synonymous with AI-human interaction. But are these just remnants of a very strong mental model, or is it the most effective way to interface with computers? It might be both.
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.