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kong

AI Agent Integration: Gartner Research Confirms Need for AI Control Layer

May 8, 2026 By Heather Halenbeck In Kong
Three-quarters of enterprises are now piloting or deploying AI agents. But here’s the problem: actually integrating those agents with enterprise applications is proving to be one of the hardest parts of the whole endeavor. The research doesn’t mince words about the challenge. And it maps directly to the infrastructure gap Kong was built to address..
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ClearML

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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thoughtspot

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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ably

The model is fine. The session is broken.

May 7, 2026 By Matthew O'Riordan In Ably
Take any AI agent demo from the last six months. It works. Now ship it to real users on real networks, real devices, real attention spans. A meaningful share of those users will never finish their first conversation cleanly. Not because the model gave a bad answer. Because the connection dropped, the tab refreshed, the phone took over from the laptop, or the spinner kept spinning forever.
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yellowfin

How Yellowfin AI Analytics Helps Teams Turn Live Data Into Faster, Better Business Decisions

May 7, 2026 By Hagop Panosian In Yellowfin
Slow data creates slow action. That is the real problem. A report delivered on a weekly cadence can miss a sales dip, a churn spike, or a supply issue that started yesterday. By the time the team sees it, the cost is already there. Corporate leadership and “The C-Suite” cares about revenue protection, customer experience, efficiency, and speed to decision. Those goals depend on live data, not stale snapshots.
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speedscale

How a Marketing Intern Ended Up Running Claude in a Terminal

May 6, 2026 By Bailey Ahrens In Speedscale
Before I ever ran Claude in my terminal, I thought I already understood AI tools pretty well. Like most people, I had used ChatGPT, Google Gemini, and Perplexity for everyday tasks. Such as helping with schoolwork, organizing ideas, summarizing information, or getting through something faster when time was tight. They were useful, but they still felt separate from how real work happened.
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Scaling AI with Trust: Real-Time Access to Governed Data

May 6, 2026 By Cloudera, Inc. In Cloudera
Most AI strategies aren't failing because of models—they’re failing because data is fragmented, siloed, and hard to access. In fact, nearly 8 and 10 organizations say incomplete data access is holding them back. Moving the data drives up cost, introduces latency, and increases compliancy and security risks. Cloudera has introduced the Workflow Data Fabric Zero Copy Connector for ServiceNow to solve this. It allows you to securely leverage nearly 30 exabytes of data under management to power agented workflows without moving the data from wherever it lives.
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