Systems | Development | Analytics | API | Testing

smartbear

Confidence in AI-generated code is rising in lockstep with its failure rate

Sep 30, 2026 By Fitz Nowlan In SmartBear
If you only read the headlines this year, you’d think AI makes shipping good software easier than ever. Yet, this was the year of very public AI-coding incidents. PocketOS’ production database deletion and a Vercel AI agent shipping unverified code are just two examples of AI-authored code shipped with confidence that turned out to be wrong. And, of course, these AI-coding incidents are distinct from Agentic AI orchestration incidents like the HuggingFace hack by OpenAI.
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hitachi vantara

Corporate Sustainability Needs Better Integration, Not Another Ambition

Sep 30, 2026 By Courtney Hadden In Hitachi Vantara
Corporate sustainability has no shortage of ambition. Over the past several years, companies have set increasingly ambitious climate targets, expanded disclosures, and invested significantly in understanding and measuring their environmental impact. But working in the technology infrastructure industry has made one thing clear to me: Targets don't reduce emissions. Decisions do.
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Ep 93 | When Everyone Has AI, Your Data Sets You Apart

Sep 29, 2026 By Cloudera, Inc. In Cloudera
After 23 years in machine learning and data science, Cao Hong has seen plenty of AI projects come and go. His measure of success is simple: did it create value for the business? Recorded at *EVOLVE26* Singapore, this episode of The AI Forecast brings Paul Muller together with Cao Hong, Principal Director of Data Apps at NCS, to explore how organizations can turn AI experimentation into measurable business impact.
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ClearML

How to Build a Self-Service AI Platform Without Losing Control of GPUs, Data, or Security

Sep 29, 2026 By Adam Wolf In ClearML
Most enterprise AI infrastructure conversations land on the same tension. Builders want self-service: instant access to GPUs, a stable endpoint for a model, a notebook, or a fine-tuning run that starts without a ticket. Platform teams want per-team quotas, identity-aware access, audit trails, tenant isolation, and cost attribution they can defend. Both sides are right, and most platforms make you choose between them because self-service and control get layered onto a base that was designed for neither.
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Tricentis Webinar Series: What customers are saying about Agentic Performance Testing

Sep 29, 2026 By Tricentis In Tricentis
As Tricentis customers continue to adopt Agentic Performance Testing, Product Marketing Manager Jason Secola sat down with APT's product manager, Twan Koot, to discuss how customers are making use of its agentic capabilities. Here, he shares customer feedback. Key highlights.
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qlik

From BI to Agentic AI: Why the Dashboards You Built Are the Foundation for Agents

Sep 29, 2026 By Luciane Ellis In Qlik
Two questions stall almost every agentic AI rollout: Is it secure? And what is this going to cost us? Both get harder to answer the longer you wait to ask them, and easier to answer than most teams assume. If you've already invested in a robust data analytics platform like Qlik, you're closer to a secure, governed, and cost-effective agentic AI deployment than the market's “rip and replace” narrative suggests.
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Your Guide to Perforce Autonomous Testing

Sep 29, 2026 By Perforce In Perforce
Software testing is struggling to keep pace with modern release cycles. More code, faster deployments, fragmented tools, and increasing quality demands are creating bottlenecks for QA, engineering, and DevOps teams. Discover how Perforce Autonomous Testing transforms the way teams validate software by bringing functional, performance, web, mobile, and desktop testing together through a unified AI-driven experience. Using natural language, teams can define testing intent, automate execution, orchestrate complex workflows, and gain actionable insights faster than ever before.
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bugraptors

How to Build an Effective Database Testing Strategy for Reliable Releases

Sep 29, 2026 By Girish Chawla In BugRaptors
Green build pipelines lie. Your automated unit suites can execute without a single failure, API contracts can validate cleanly, and browser regression sweeps can pass with pristine checkmarks. Yet the moment a release hits production, software must interact with state. A single unindexed foreign key, an overlooked lock escalation on a high-throughput table, or an uncalibrated default constraint will bring an entire platform to a halt while your CI dashboards remain reassuringly green.
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