
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.
Check out our blog for our latest thoughts on data, AI, and digital products.
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.
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?
Anonymization in Unstructured Data: A Guide for IT & Technical Managers - Part 2
Anonymizing unstructured data like medical records or legal documents is much harder than with structured data. The primary challenge is identifying sensitive information (PII) within free-form text, which can be obscured by jargon, abbreviations, and OCR errors. This guide explores the viable approaches, from simple rule-based systems to advanced Machine Learning and hybrid models.
Anonymization in Structured Data: A Guide for IT & Technical Managers - Part 1
We’ve put together a simple guide on what we believe is a must have security functionality: anonymizing structured data effectively. Let’s ensure your data is both perfectly secure and fully usable for business operations.
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.