Systems | Development | Analytics | API | Testing

hitachi vantara

Reclaim Data Sovereignty for the AI Era

Apr 30, 2026 By Andy Gremett In Hitachi Vantara
For the modern IT leader, managing a hybrid cloud often feels like navigating a series of operational constraints rather than executing a strategy. You’re caught between the board’s demand for immediate AI results with disparate data silos, rising egress costs, inflexible consumption models, overworked employees, and the looming impact of hardware refresh cycles. There’s a constant friction between the agility of the cloud and the resilience of your on-premises core.
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ably

Why we built a dedicated SDK for realtime AI streaming

Apr 30, 2026 By Faye McClenahan In Ably
If you've built a conversational AI feature, you know the pattern. Client sends a message, backend calls a model, response streams back over HTTP. SSE mostly, or WebSockets if you need bidirectional. For a single user on a single device, it works well. The trouble is the best AI products right now have moved well past that.
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Hevo demo days: From Raw Data to AI-Ready: Build Live Pipelines in Minutes

Apr 30, 2026 By Hevo Data In Hevo
Everyone is investing in AI, but most teams are blocked by one thing: their data isn’t ready. Data is scattered across SaaS tools, pipelines break silently, and insights are delayed. Without fresh, reliable, and centralized data, AI models, dashboards, and real-time use cases simply don’t work.
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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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Ep 71 | AI Adoption: The Data Readiness Problem Holding Enterprises Back

Apr 29, 2026 By Cloudera, Inc. In Cloudera
AI ambition is everywhere. The models are ready, the investment is flowing, yet the outcomes aren’t keeping up. Cloudera’s Data Readiness Index 2026 survey identifies a widening gap between what enterprises want from AI and what they can actually deliver. In this episode of The AI Forecast, Paul Muller sits down with Cloudera CTO Sergio Gago to bring a practitioner’s lens to the problem, drawing on experience across the full spectrum from startups to global enterprises.
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perforce

The Great Disconnect: Why 77% Confidence in AI Results Is a Major Business Risk

Apr 29, 2026 By Perforce In Perforce
According to the Perforce 2026 State of DevOps report, 77% of organizations express high confidence in the outputs generated by their artificial intelligence systems. Yet, this widespread optimism masks a critical vulnerability. While executive confidence in AI results remains high, only 38% of organizations have embedded AI deeply across their delivery stages. Plus, only 39% maintain the fully automated audit trails required to verify these results.
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Application integrity in the AI era | From the Bear Cave Ep. 3

Apr 29, 2026 By SmartBear In SmartBear
The tsunami of AI-generated code creates downstream bottlenecks for QA teams, and shift-left or traditional test automation aren't enough in the AI era. In this From the Bear Cave session, SmartBear CEO Dan Faulkner and CMO Kelly Wenzel unpack how AI code generation impacts software quality and why traditional testing struggles to keep up.
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