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ClearML

How ClearML Helps Optimize Resource Allocation Across AI Workloads

Mar 3, 2026 By ClearML In ClearML
Author: Adam Wolf Efficient resource allocation is a foundational requirement for scaling AI workloads, particularly as organizations move from isolated experiments to shared infrastructure supporting multiple teams, models, and environments. GPUs, CPUs, and high-performance storage are costly and finite, and without coordination, utilization often degrades as usage grows.
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antino

How to Calculate Measurable Returns from AI Spend?

Mar 3, 2026 By Radhakanth Kodukula In Antino
AI isn’t just some side project anymore. These days, it’s a real budget line for big companies, something boards talk about all the time. Global investment in AI is about to break $300 billion a year. McKinsey says AI could add up to $4.4 trillion to the economy every year. That’s huge. But even with all this promise, a lot of businesses still have trouble figuring out if their AI projects are actually paying off. That’s the spot most CXOs are stuck in now.
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antino

Why is AI in Learning and Development No Longer Optional?

Mar 2, 2026 By Radhakanth Kodukula In Antino
AI is already here and will be here for years and years to come. The best part is that it will be upgraded to a better version every passing day. And it will keep getting better and better. You must have seen now how people are actively using AI tools these days, and one of the famous examples would be ChatGPT. So, what’s shifting this change? What’s making people so reliant on gen AI tools?
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xray

Breaking Silos With AI: Aligning QA, Dev, and Product Teams

Mar 2, 2026 By Mariana Santos In Xray
Software development has never been faster, yet it has never felt more fragmented. QA, development, and product teams often chase the same goals from different directions. Deadlines tighten, requirements shift, and communication gaps lead to rework or misaligned expectations. While DevOps practices have bridged some of those gaps, true collaboration remains a challenge.
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kong

Kong Wins AI Innovator of the Year in SiliconANGLE Media's Tech Innovation CUBEd Awards

Mar 2, 2026 By Eric Pulsifer In Kong
We're excited to announce that Kong just took home the AI Innovator of the Year award from SiliconANGLE Media's 2026 Tech Innovation CUBEd Awards. SiliconANGLE Media runs this annual awards program to recognize companies, technologies, and people moving the needle in B2B tech. Winners go through a review process by industry analysts and experts.
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Stop Cloud Complexity: Cloudera's Anywhere Cloud for Unified Data & AI

Mar 2, 2026 By Cloudera, Inc. In Cloudera
Today’s enterprises face immense pressure: scaling fast, staying compliant, and unlocking AI-driven insights—all while fighting siloed data and growing cloud complexity. There is a better way forward, and it starts with Cloudera Anywhere Cloud. Cloudera is the only data and AI platform that delivers the cloud experience anywhere—public clouds, data centers, and the edge—bringing unified security, governance, and control to data wherever it resides. Access 100% of your data for AI-driven insights and future-proof—not just modernize–your enterprise data strategy.
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From Loose Threads to Tightly Woven - The AI Shift in Software Design

From Loose Threads to Tightly Woven - The AI Shift in Software Design

Mar 1, 2026 By Dr. Rania Khalaf, Chief AI Officer In WSO2
AI is advancing at breakneck speed-from basic rule-based systems to autonomous agents. Over 240,000 AI papers are published annually, with 1.8M+ projects on GitHub and 80+ large language models released in 2024 alone. Forecast AI spend is expected to top $632B by 2028. Amid the hype, the focus must be on delivering real value and preparing for what's next.
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Automate Your Data Workflows: Connect Databox MCP to Make.com

Feb 27, 2026 By Databox: Modern BI Software In Databox
In this video, we show you how to connect Databox to Make using the Model Context Protocol (MCP). Learn how to give your automated workflows and AI tools direct access to your live business metrics, empowering you to easily fetch context, analyze data, and build data-driven automations faster than ever. Links & Resources: About this series: This video is part of our "Chat with Your Data" series, where we explore the Databox MCP.
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kong

From Pixels to APIs: The Programmable Economy is the Agentic Economy

Feb 27, 2026 By Augusto Marietti In Kong
The APIs that have been powering websites and apps created a massive market, but there are only up to 8 billion humans consuming them behind pixels. As LLMs are taking over the world — in the form of productized agents first — there will be 100X more machines than humans. The internet built for agents will look very different. Agents don't need to see, scroll, and click graphical interfaces. They can access the internet programmatically.
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