Systems | Development | Analytics | API | Testing

ClearML

Monitoring, Audit Trails, and Compliance with ClearML

May 12, 2026 By Adam Wolf and Damian Erangey In ClearML
The previous posts in this series built the security model layer by layer: identity, configuration governance, service account automation, compute policies, and production model serving. This final post covers what holds all of it together: the monitoring and audit layer that records every action, every API call, and every resource event and makes the full picture visible to the people responsible for it. It accompanies our Enterprise AI Infrastructure Security YouTube series.
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qlik

Omni-channel AI: The next frontier for Data and Analytics

May 12, 2026 By Marcus Tannerfalk In Qlik
What marketing mastered years ago, product teams are only now beginning to understand. For decades, marketing has operated on a simple but powerful principle: don't make your customers come to you, go to them. Meet them on the channels they already use, speak in the language they already speak, and show up where they already spend their time. The result was omni-channel marketing, a discipline that transformed how brands engage with the world.
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lenses

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

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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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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keboola

You're not doing AI transformation. You're doing AI decoration.

May 11, 2026 By Pavel Dolezal In Keboola
Every enterprise AI story right now follows the same plot. You pick a system — Salesforce, Workday, SAP, NetSuite — and you bolt an AI agent on top of it. The agent can summarize deals. It can write follow-up emails. It can pull a report without you clicking through five dashboards. It is genuinely useful. And it is not transformation. What you have built is a smarter interface on top of a system designed for humans.
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yellowfin

Scaling Embedded Analytics Across Customers: A Practical Blueprint

May 10, 2026 By Hagop Panosian In Yellowfin
Embedded analytics is no longer a nice extra. It now shapes revenue, retention, and the customer experience. A few charts in one customer portal can look fine. The same setup starts to crack when it serves hundreds of tenants, each with different data, access rules, and branding. That is the core shift. Teams move from one-off embeds to a product layer that must run across many customer environments. The work is not just visual. It touches latency, isolation, governance, and cost control.
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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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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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