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zymr

Agentic Payments: Redefining the Future of Payments for Enterprises

Mar 3, 2026 By Nikunj Patel In Zymr
‍ Enterprise payment systems are at a breaking point: rising volumes, tighter margins, and ever-more sophisticated fraud are pushing traditional automation to its limits. The AI-enabled payments market was valued at $38.36 billion in 2024 and is projected to grow over the next decade. As firms seek smarter, real-time decisioning and risk control, highlighting how indispensable AI has become in payment stacks today. -
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rainforest

7 things engineering teams get wrong about AI-powered QA

Mar 3, 2026 By Fred Stevens-Smith In Rainforest
We’ve all been there. When engineering teams evaluate AI-powered QA tools, the same questions come up again and again. Some are rooted in genuine technical curiosity. Others stem from experiences with earlier-generation tools that earned a healthy dose of skepticism. After hundreds of these conversations, I’ve identified the seven most common misconceptions. Contents Toggle.
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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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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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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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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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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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bugfender

JavaScript Debugging: How to Find and Fix Bugs in JS

Mar 2, 2026 By Tapas Adhikary In Bugfender
An effective JavaScript debugging regime is essential if we want to build responsive, reliable and highly-rateable Android apps. JavaScript doesn’t enforce types at compile time (unlike Swift) and this means errors often happen quietly, when users are already feeling them. So it’s vital that we debug pre-emptively, using knowledge rather than guesswork.
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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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Featured Post
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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