.1Use 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.
.2AI 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.
.3AI 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.
.4AI Across IndustriesApril 21, 2026 Karina Agentic AI in the Enterprise: What It Is, What It Promises, and What It Needs to Work Agentic AI is the next leap beyond generative AI: systems that don't just answer questions, but plan, decide, and execute multi-step work autonomously. The promise is massive but most enterprises lack the data infrastructure, governance, and integration layer to make it work. Here's what agentic AI actually is, and what it takes to deploy it safely.
.5AI Across IndustriesApril 14, 2026 Karina The Hidden Cost of Knowledge Silos: What Disconnected Data Is Doing to Your TeamsEmployees waste 1.8 hours daily searching for scattered information. Multiply that across your workforce and the cost becomes undeniable. Knowledge silos don't just slow teams down – they compromise decisions, kill AI readiness, and lock your most valuable institutional knowledge out of reach.