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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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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fivetran

3 ways Fivetran uses AI internally

May 8, 2026 By Alison Kline In Fivetran
Like many companies, Fivetran has recently piloted a number of projects and internal tools using AI. AI offers the potential to augment or accelerate a huge range of day-to-day business tasks, including better understanding and prioritizing customer requests, surfacing trends across multiple business units, and automating customer communications. The key to delivering value using AI is to ensure that it has access to quality data and a data infrastructure capable of providing it.
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hitachi vantara

The Cost of Good Versus Excellent

May 8, 2026 By Angela Romberg In Hitachi Vantara
The data storage industry is constantly pushing boundaries. We demand speed, efficiency, and reliability. But how do we truly measure the distance between “good enough” and “mission-critical”? In our world, that distance is measured in 9s. And the cost is certainty. You've likely heard your cloud providers talk about the industry standard for availability. For many, this has become a synonym for “five 9s” (99.999% uptime). On paper, that sounds impressive, right?
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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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Why 9 out of 10 Leading Global Telcos Trust Cloudera

May 7, 2026 By Cloudera, Inc. In Cloudera
Have you ever wondered who keeps the world’s biggest networks running smoothly? Nine out of 10 top global telcos trust Cloudera to handle the heavy lifting. From processing a staggering 10 million events per second to managing data across the globe—from Indonesia to Africa—Cloudera provides the hybrid scale and "cloud anywhere" flexibility that massive networks need to stay secure and compliant. It’s all about delivering top-tier network quality and the best customer experiences through end-to-end governed data and AI.
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