Systems | Development | Analytics | API | Testing

Ep 60 | How AI FOMO and Lost Focus on Culture Harm ROI with Jen Stirrup

Feb 11, 2026 By Cloudera, Inc. In Cloudera
As AI and BI projects race to deliver quick wins, many organizations overlook what truly determines long-term success: the people behind the data. In this episode of The AI Forecast, Jen Stirrup, author, speaker, and founder of Data Relish, joins host Paul Muller to dissect the difference between data literacy (reading the numbers) and data fluency (speaking the language of business). Jen challenges the industry’s obsession with AI FOMO, warning that rushing to deploy models on shaky cultural foundations is the fastest way to derail ROI.
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antino

How to Prioritize AI Investments Using the Impact-Maturity Matrix?

Feb 11, 2026 By Radhakanth Kodukula In Antino
AI is no longer an experimental line item in the budget. For most U.S. CXOs, the real challenge in 2026 is far more practical: where should we place our bets first? With dozens of AI use cases competing for attention, capital, and executive sponsorship, prioritization has become a boardroom conversation, not a lab discussion. Are you investing in AI initiatives that can move the needle this fiscal year, or are you spreading resources thin across pilots that never scale?
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tricentis

Closing AI-generated test gaps with qTest & SeaLights

Feb 10, 2026 By Jason Wides In Tricentis
In today’s fast‑moving software world, release velocity keeps climbing, and AI is accelerating it even further. To keep quality teams aligned with rapid change, we’ve brought together two powerful capabilities: Tricentis SeaLights’ deep code-level insights and Tricentis qTest’s intelligent test management and AI-generated test creation. Here’s how these technologies integrate to create a complete, AI-driven testing feedback loop.
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Configuring a workflow using the Workflow Editor in Bitrise

Feb 10, 2026 By Bitrise In Bitrise
In this video, Ben Boral introduces the Bitrise workflow editor, a GUI abstraction layer built on top of the YAML file that defines CI pipelines and workflows. The Workflow Editor makes users more productive, helps avoid errors, and allows for easily defining and maintaining workflows. The workflow editor generates syntactically valid YAML and is available in both online and local versions, providing the benefits of "pipeline as code" with greater ease of use.
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How to add a new project in Bitrise

Feb 10, 2026 By Bitrise In Bitrise
Learn how to add a new project to Bitrise CI with Senior PM Jeremy Palmer: selecting privacy settings, connecting your Git provider (like GitHub), and setting up webhooks to automatically trigger builds. Jeremy also covers the authorization steps, selecting a branch, and the auto-detection of your project's configuration settings.
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ably

Appends for AI apps: Stream into a single message with Ably AI Transport

Feb 10, 2026 By Faye McClenahan In Ably
Streaming tokens is easy. Resuming cleanly is not. A user refreshes mid-response, another client joins late, a mobile connection drops for 10 seconds, and suddenly your “one answer” is 600 tiny messages that your UI has to stitch back together. Message history turns into fragments. You start building a side store just to reconstruct “the response so far”. This is not a model problem. It’s a delivery problem That’s why we developed message appends for Ably AI Transport.
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ClearML

ClearML Enterprise v3.28: Usage Metering, Policy Enhancements, and Smarter Admin Controls

Feb 10, 2026 By ClearML In ClearML
Author: Adam Wolf ClearML Enterprise v3.28 offers new features and improvements to help administrators monitor usage, enforce policies, and streamline operations across large, multi-team environments. This release introduces enhanced usage metering with a simplified interface, improved resource policy management, improved dataset controls, and UI enhancements to provide greater clarity, control, and productivity for AI teams.
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bitrise

Optimizing Bitrise Build Cache clients

Feb 10, 2026 By Zsolt Márta In Bitrise
Having a build cache solution is a powerful way to speed up builds, especially at scale. Bitrise Build Cache already accelerates builds across multiple ecosystems, but to get the most out of it we also need to optimize the build cache clients themselves and ensure stability across changing network environments. In this blog post, I’ll walk through the steps we took to improve stability and performance for Bitrise Build Cache customers.
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