AI Data Licensing: AI Labs Are Paying for Proprietary Data. Should You Sell Yours?
For most of the generative AI boom, data licensing was something publishers did. News archives and image libraries changed hands for flat annual fees, and most enterprises watched from the sidelines. That has changed over the past year, largely because of two court decisions. In July 2026, a federal court gave final approval to Anthropic’s […]
EU AI Act Timeline: Why December 2027 Is Closer Than It Looks for Insurers
For most of the past two years, every EU AI Act timeline that compliance teams planned around pointed to one date: August 2, 2026. That’s when the rules for high-risk AI systems were due to start. Then the date moved. The Digital Omnibus on AI, Regulation (EU) 2026/1744, came into force on July 27, 2026. […]
AI Agent Identity Has a Credential Answer. Data Access Still Needs One.
A year ago, the idea that every AI agent should carry its own identity mostly lived in research papers and conference talks. Today, AI agent identity is a product category with budgets behind it. Microsoft lists Entra Agent ID as generally available, and Gartner put IAM for AI agents on its list of cybersecurity trends […]
ITC Vegas 2026: Where Underwriting AI Is Actually Working, and Where It Still Isn’t
I spent three days at Mandalay Bay for ITC Vegas 2026, in sessions, on the floor, and in one-on-one conversations with carriers, MGAs, and the teams building alongside them. A few things stood out clearly enough to write down. AI Stopped Being a Side Project AI in underwriting used to be a side pilot with […]
No-Code AI Pipeline Builder or Custom Data Pipeline Architecture: When Each One Is Right
A no-code AI pipeline builder can take a business analyst from an idea to a working pipeline in an afternoon, no engineer required. That is a real capability, and for a good share of use cases it is the right one to reach for. Whether no-code tools work is settled. They do. The harder question is where they […]
Your AI Isn’t Learning Your Company: The Case for Custom AI for Business
Every company buying AI right now is buying more or less the same thing: a handful of foundation models, licensed through the same few clouds and wrapped in the same no-code tools. That worked as an advantage while the technology itself was scarce. It stopped working the moment your competitor could buy the exact same capability, […]
GraphRAG vs Standard RAG: Which Retrieval Architecture Is Right for Enterprise AI?
Ask a standard RAG system “what was our Q3 refund policy” and it answers well. Ask it “what are the recurring themes across two years of customer complaints” and it falls apart, because no single retrieved chunk holds that answer. Closing that gap is the whole reason GraphRAG exists. Microsoft Research introduced GraphRAG in 2024 as a graph-based approach to retrieval-augmented generation, aimed […]
Data Virtualization vs Data Replication in a Modern Data Fabric Architecture
Gartner expects organizations to abandon 60 percent of AI projects through 2026 when those projects are not backed by AI-ready data, and in the same research, 63 percent of organizations said they either lack the right data management practices for AI or are not sure they have them. Teams tend to blame the model or the prompt […]
Agentic AI Frameworks: The Case for Specialized Intelligence Over No-Code AI
Two years ago, the question every C-suite asked about AI was how fast a team could ship something. No-code tooling answered it well. A business analyst could drag together a workflow, wire it to a language model, and have a working assistant by the end of the afternoon. That was Phase 1, and for a while, speed […]
How to Evaluate an Enterprise AI Agent Platform: A CIO’s 12-Point Checklist
Most of the vendor decks landing on a CIO’s desk right now use the word “agentic” the way software once used “cloud-native”: a label stuck on after the fact, describing the marketing more than the build. That distinction matters more than it sounds. Gartner estimates that of the thousands of vendors marketing agentic AI, only about 130 are building […]
Human-in-the-Loop AI Governance: Where Human Oversight Belongs When AI Agents Act
Ask a compliance officer in 2024 what worried them about AI, and the answer usually came back to a single bad output. Maybe a wrong figure in a report, or a recommendation skewed by biased data that a reviewer caught before it reached a customer. Ask the same question now, and the worry has shifted from one […]
SLM vs LLM: Model Selection for Agentic AI Platforms
Ask an engineering team in 2024 which model to use, and the answer was almost always the biggest one available. Ask them today, and the same question, now framed as SLM vs LLM, gets a more careful answer, usually a longer one. The change didn’t come from large models getting worse. It came from a year of live traffic. […]
How Specialized AI Learns From Your Data: A Technical Deep-Dive
Ask ten vendors what specialized AI means and you’ll get ten confident answers. Ask what it takes to actually build one, and you’ll hear a lot less. Our guide to specialized intelligence handles the big picture, from what it is to how to evaluate a platform. This piece goes below that, into the engineering it sits on: what actually happens when a model learns […]
AI Agent Development Platforms: A Comparison for Engineering Teams
The way engineering teams pick an AI agent development platform changed this year. Twelve months ago the decision was which framework to standardize on. Now it is which layer of the market to buy into, and most teams commit to one without noticing there are three. Adoption ran well ahead of the tooling. LangChain’s 2026 State of Agent Engineering […]
Arivonix and Databricks: A More Flexible Way to Process Your Pipelines
Why we’re talking about this Companies using Arivonix are handling more data than they used to, with more transformations to run, more rules to follow, and less time to spend waiting for results. That part isn’t really new, since data has been growing for years and most teams are used to that story by now. What’s changed […]