.1AnnouncementsJune 30, 2026 Karina Iris.ai and AWS Enter Strategic CollaborationIris.ai and AWS are entering a strategic collaboration to bring a trusted AI knowledge foundation to regulated industries globally. AWS powers the compute and the models. Iris.ai powers the knowledge those models reason on. The result of ten years building for a problem most of the industry is only starting to see clearly now.
.2TechnologyJune 25, 2026 Karina You're Running an LLM. But Do You Actually Know If It's Working?You deployed the model. The team tuned the prompt, the architecture, the pipeline. But do you know if the output is actually good? Most enterprises operate with an evaluation blind spot, catching failures only after they reach a customer. Here is what to measure, what to fix, and where to start today.
.3Use CasesJune 24, 2026 Karina How Yettel Hungary Is Using AI to Transform Customer Care - Without Losing Control of Its DataYettel Hungary's customer care teams were slowed by a fragmented knowledge base - hard to onboard into, slow to pull answers from. Denitsa Gavrilova, Director of AI and Data, explains why they chose a strategic AI partner over building in-house, and the lesson that reshaped their approach: the real work starts after launch.
.4AI Across IndustriesMay 12, 2026 Karina The Context Layer Market Is Here: What Enterprise Leaders Need to KnowFoundation models are commoditizing. Proprietary knowledge is becoming the differentiator. That shift is creating a new category of enterprise AI infrastructure: the context layer. Here's what's driving the market, what analysts are tracking, and the three shifts AI buyers need to make in how they evaluate their stack.
.5TechnologyMay 5, 2026 Karina What Is the AI Context Layer, And Why It Changes Everything About Enterprise AIEnterprises are spending more on AI than ever, yet 95% of pilots deliver zero measurable ROI. The constraint is not weak foundational models. It is a fundamental lack of proper data context. The AI context layer sits between raw enterprise data and model output, delivering organizational knowledge at the exact point of inference.