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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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confluent

How to Build Autonomous Data Systems for Real-Time Decisioning

Mar 2, 2026 By Bijoy Choudhury In Confluent
As data architectures evolve, we are seeing a fundamental shift from systems designed to report on the past to systems designed to influence the future. At the heart of this shift are two critical, interconnected concepts: As organizations pursue more data-driven decision making, the gap between insight and action has become a competitive constraint. Together, real-time decisioning and autonomous data systems represent the evolution of real-time data systems—where insight flows directly into action.
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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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perforce

The Cost of Doing Nothing: Quantifying the Impact of "Incomplete DevOps"

Mar 1, 2026 By Perforce In Perforce
As AI becomes embedded in software delivery, the gap between mature DevOps organizations and those with “Incomplete DevOps” is becoming impossible to ignore, according to Perforce's 2026 State of DevOps report. Characterized by inconsistent workflows, manual processes, and inadequate standardization, "incomplete DevOps" has emerged as the leading obstacle to achieving ROI from AI investments. DevOps maturity is no longer an operational concern. It is an economic one.
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cloudera

Why Native Observability is the Heart of Hybrid Cloud

Feb 27, 2026 By Ron Pick In Cloudera
In the current enterprise technology landscape, we’re witnessing an industry-wide scramble. As organizations shift from monolithic architectures to complex environments leveraging heterogeneous infrastructures, cloud-based data platforms are hitting a visibility—i.e., observability—wall. Their response has been a wave of reactive, multi-billion-dollar acquisitions designed to "bolt-on" the observability that they lack natively.
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Enterprise AI Infrastructure Security Series - 2) Identity Provider Setup, Group Sync & Access Rules

Feb 27, 2026 By ClearML In ClearML
In this video we walk through setting up and testing an identity provider (Azure Entra ID) with ClearML Enterprise, enabling group synchronization to automate user onboarding, and then using platform access rules to secure the resources available to your teams and agents. What we cover: This is Part 2 of our series on enterprise AI infrastructure security.
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Real Outcomes with Appian: How Customers Achieve Speed, Scale, and Efficiency

Feb 27, 2026 By Appian In Appian
What does real transformation look like in practice? Across industries, organizations are using Appian to simplify complexity, automate mission-critical work, and deliver measurable results fast. In this customer montage, hear directly from leaders who are driving meaningful change with the Appian Platform. From reducing onboarding from six months to just four days, to achieving immediate efficiency gains and scaling to thousands of clients without adding headcount, these stories show how organizations are evolving as the world changes.
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