Expert insights on enterprise integration, AI, and business process management from the KONDEVS team.
Your GenAI pilots worked. Then they didn't. Here's why architecture is the missing piece. We've seen this pattern play out across industries: a wave of GenAI enthusiasm, proofs of concept launching everywhere, chatbots spinning up overnight — and then reality hits. Inference costs spike. Output qual
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The CNCF just doubled certified Kubernetes AI platforms in 4 months. Here's why this matters for your enterprise AI strategy—and why infrastructure fragmentation is becoming yesterday's problem. Four months ago, the CNCF launched its Kubernetes AI Conformance Program with 18 certified platforms. Tod
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Most event teams aren't struggling with AI because the technology is too complex. They're struggling because no one at the top has decided what it's actually for. We've seen this pattern before in our industry — a powerful new tool arrives, gets handed to the technical team, and leadership steps bac
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AI agents are no longer a future concept—they're reshaping how work gets done right now. But here's the real question: Is your organization ready to implement them without creating friction or trust issues? At Kondevs, we work closely with businesses navigating exactly this challenge—and the biggest
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Companies aren't waiting for AI to prove itself. They're already restructuring around what it might do — and that should give all of us pause. Here's something worth sitting with: major corporations — Ford, Amazon, Salesforce, JP Morgan Chase, Meta, Block, Microsoft — are telling their workforces th
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AI isn't just automating tasks anymore—it's fundamentally changing how enterprises design, refine, and deploy business workflows. From turning requirements into production-ready apps in minutes to screening candidates faster, the transformation is already happening. The pace of AI adoption in enterp
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The latest AI trends are reshaping how enterprises approach M&A, data integration, and digital transformation—but are your systems ready? From M&A integration to agentic payments, generative AI is no longer a future consideration — it's an active force reshaping enterprise strategy today. This week'
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After two years of heavy AI investment, corporate leaders are facing a critical moment: prove measurable returns or risk sunk costs. The era of growth-at-all-costs is over. The conversations coming out of the CIO 100 Leadership Live conference in Atlanta reflect something we're hearing from technolo
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Prototyping AI agents is the easy part. Keeping them running reliably in production? That's where most teams hit a wall. We've seen this pattern play out across cloud native environments: a team builds an impressive AI agent proof-of-concept, leadership gets excited, and then the hard questions star
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Enterprise IT leaders face an unprecedented challenge: managing six overlapping innovation waves simultaneously instead of sequential updates. The organizations that thrive won't be those optimizing one area at a time—they'll be the ones intentionally adapting to parallel technology shifts all at on
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AI coding agents have evolved dramatically in just 12 months—from experimental "vibe coding" to autonomous swarms. But with greater capability comes greater cost and security risks. Here's what you need to understand about the current state of the game. At QCon London, Birgitta Böckeler from Thought
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AI isn’t failing — but many enterprises are failing to turn investment into measurable ROI. Across industries, organizations have poured billions into artificial intelligence, expecting transformative gains. Yet, for most, the return on AI investment (ROAI) remains elusive. Why? The real issue isn’t
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