Technology

AI Coding is Easy. Scaling AI to the Enterprise is Hard.

May 11, 2026 By WSO2 In WSO2

Dr. Sanjiva Weerawarana explains why rolling out AI agents in non-technical domains like legal or finance is much harder than using well-established developer tools like Copilot. Why AI pilots don’t scale without serious architectural foundations and a real strategy.

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What one performance engineering leader would tell industry newcomers who are worried about AI

May 11, 2026 By Annie Millerbernd In Tricentis

Quick summary: AI is creating anxiety and excitement — teams can get more work done faster, but does all this automation leave the worker behind? Not necessarily, says one performance engineering leader. The AI revolution, he says, is another technological wave. To ride it, performance engineers must embrace the change.

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When AI Chatbots Fail: What Testing Really Reveals

May 11, 2026 By Hemraj Bedassee In Testlio

AI chatbots now sit in customer journeys, product workflows, help centers, and decision paths. They represent brands, influence user trust, and increasingly, they make autonomous judgments.

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Introducing Kafka Skills for AI Engineering Agents

May 11, 2026 By Jonas Best In Lenses

If you've written a line of code in the last 18 months, you already know this. Tools like Claude, Codex, Bob, Kiro and Cursor have made agentic software engineering the default. Most developers today are writing prompts as much as they are writing code. That shift changes what ‘developer experience’ means. Clean UIs, useful tools and good docs are still the foundation but the focus has shifted to ensuring a coding agent actually knows what it is doing, in the hands of a developer.

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Lenses MCP Server with OAuth 2.1

May 11, 2026 By Jeremy Frenay In Lenses

You can now drive Lenses from Cursor, VS Code, IBM Bob or Claude Code without running any extra piece of infrastructure locally. Lenses MCP offers secure tools across topics, schemas, Kafka Connect, SQL processors, consumer groups, datasets and pod logs: everything an engineer would normally click through in the Lenses UI, now reachable from any MCP-compatible client over HTTP.

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3 Reasons React Native Teams Use OTA Updates

May 11, 2026 By Codemagic In Codemagic

Hotfixes. Continuous iteration. Controlled rollouts. You only need one of these to change how you ship.

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Why Your AI Strategy is Breaking: The Power of AI Anywhere with Cloudera

May 11, 2026 By Cloudera, Inc. In Cloudera

Hey, did you know AI can’t be confined to just one environment? AI is moving faster than ever, but it cannot be confined to a single environment. From the public cloud to on-prem data centers and out to the edge, AI is everywhere. However, when these environments remain siloed, your data strategy breaks—leading to inconsistent governance and scaling roadblocks. In this video, discover the vision of AI Anywhere. To unlock real business value, AI must operate exactly where your data lives, maintaining the same level of control, trust, and security across every platform.

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AI in Banking: Use Cases, Architecture & Implementation - The Complete Guide for Financial Institutions (2026)

May 10, 2026 By Zymr In Zymr

AI is already embedded in banking systems. The question is whether it’s delivering measurable outcomes or just adding another layer of complexity. Across the industry, investment is not the constraint. Banks spent over $73 billion on AI in 2025, yet most initiatives haven’t translated into production-scale impact. Nearly 95% of generative AI programs remain in pilot mode, and only a small fraction of institutions report clear ROI. The pattern is consistent.

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Spotter 3 Meets MCP: Your AI Analyst, Everywhere You Work

May 8, 2026 By Katie Flynn In ThoughtSpot

More business teams are doing their thinking inside Claude and ChatGPT than ever before. Research, planning, analysis, content: it's all happening inside LLM platforms now. But the moment someone needs an answer grounded in actual enterprise data, the workflow breaks. They leave the AI, open the BI tool, run the query, copy the result back. Context lost, momentum killed. That's the problem we set out to solve when we launched ThoughtSpot's Agentic MCP Server back in July.

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How ClearML Fits Into a Zero-Trust Kubernetes Architecture

May 8, 2026 By Adam Wolf In ClearML

Zero trust is an architectural principle, not a product. It means assuming breach, verifying every connection explicitly, and granting the minimum access required for each interaction. This post covers how those principles apply to Kubernetes AI infrastructure and specifically how ClearML’s security model slots into each layer: network segmentation, workload identity, access controls, and audit logging. Kubernetes AI infrastructure and where ClearML fits into the model.

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