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ClearML

ClearML Enterprise v3.29: Fine-grained Control for Enterprise AI Teams

Apr 29, 2026 By ClearML In ClearML
ClearML Enterprise v3.29 builds on the governance and infrastructure foundations introduced in recent releases. This update focuses on giving administrators and AI teams more granular control over resource allocation, gateway access, and pipeline management while delivering a meaningful set of UI quality improvements across the platform.
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Rust Language Support in Perforce Static Analysis Accelerates Secure, AI-Driven, Multi-Language Embedded Development Lifecycles

Rust Language Support in Perforce Static Analysis Accelerates Secure, AI-Driven, Multi-Language Embedded Development Lifecycles

Apr 28, 2026 By Perforce In Perforce
Single static analysis workflow catches critical errors beyond memory-safety for mixed-language systems, before defects are introduced during the coding phase of the development lifecycle.
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katalon

Meet Katalon AI Assistant: Your Extended QA Team

Apr 28, 2026 By Huyen Nguyen In Katalon
AI-assisted development means more code, faster release cycles, and a testing surface area that keeps expanding, but QA team size hasn't kept pace. The result is a pressure most QA engineers know well: you're not behind because you're slow. You're behind because the math no longer works. Most tools respond by adding AI at the margins: a suggestion feature here, a copilot shortcut there.
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dreamfactory

It Took 9 Seconds for an AI Agent to Delete a Production Database. Here's What Should Have Stopped It.

Apr 28, 2026 By Nic Davidson In DreamFactory
What the PocketOS incident reveals about AI agents, unscopped API tokens, and why enterprise data needs a gateway in front of it. DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough.
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Cloudera and NVIDIA: Accelerating AI Innovation with Trusted Data at Scale #Cloudera #Short #tech

Apr 28, 2026 By Cloudera, Inc. In Cloudera
As organizations race to capitalize on AI, the foundation of success lies in trusted data and scalable infrastructure. In this video, we explore how Cloudera AI, powered by NVIDIA, delivers an end-to-end platform that enables organizations to build, test, and deploy high-performance AI solutions. From the Cloudera hybrid data lake to production-ready AI, discover how Cloudera is helping enterprises accelerate their data-driven future.
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Beyond the Pilot: How Cloudera is Scaling AI Execution

Apr 28, 2026 By Cloudera, Inc. In Cloudera
Hey, did you know Cloudera is actively hiring to build the next phase of enterprise AI? While much of the industry is focused on experimentation, Cloudera is investing in execution, scaling real-world AI with innovations like Cloudera Agent Studio and managing data at exabyte scale. As we continue to bring AI to data anywhere, we’re growing our global team to turn AI from pilot to production.
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antino

How Agentic AI is Transforming Enterprises?

Apr 28, 2026 By Vinay Krishna Gupta In Antino
The artificial intelligence landscape has crossed a consequential inflection point. Enterprises that approached AI as an efficiency instrument, deploying it to automate discrete tasks, accelerate content generation, or augment human decision-making at the margins, are now confronting a paradigm of an altogether different magnitude.
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ably

Why production AI needs a session layer, not just a stream

Apr 28, 2026 By Mike Christensen In Ably
I spoke at AI Engineer Europe last week, and came away with a clearer picture of where the industry actually is right now. My talk was about why AI user experience breaks at the transport layer. But the bigger takeaway wasn't from my own session. It was from watching what the rest of the room was building, and what problems they were running into.
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Building the Agentic Enterprise: How AWS and Confluent Power Real-Time AI | Life Is But A Stream

Apr 28, 2026 By Confluent In Confluent
Varun Jasti of AWS explains why real-time data—not better models—is the true unlock for enterprise AI. Most enterprises don't need to build AI models from scratch—they need to put AI to work. That requires a data foundation that is real-time, reliable, and ready to serve intelligent systems at scale.
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