.1AI Across IndustriesJuly 22, 2026 Karina Welcome Iris.ai's CMO - Liana HakobyanEvery new chapter at Iris.ai starts with people who embody how we build. Today, that chapter continues with the appointment of our Chief Marketing Officer.
.2AI Across IndustriesJuly 21, 2026 Karina You Do Not Control Whether Your AI Model Stays Available. Your Architecture Decides What That Costs You.Most enterprise AI stacks treat one hosted model as a hard dependency. When Anthropic suspended Fable 5 and Mythos 5 globally in June 2026, that dependency became a single point of failure overnight. Resilience is not about picking the right vendor. It is about decoupling your knowledge layer so any model is replaceable.
.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.
.5AI Across IndustriesApril 28, 2026 Karina How Pharma and Life Sciences Are Using AI to Accelerate Knowledge WorkPharma generates vast amounts of research data – but most of it remains unused. This creates costly inefficiencies and slows innovation. The real challenge isn’t creating knowledge, but accessing and activating it. Discover how AI, powered by the right infrastructure and context layer, turns static documents into usable intelligence.