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Testing AI Code is a Security Nightmare? #Speedscale #DevOps #Kubernetes #AICoding #SoftwareTesting

Jun 4, 2026 By Speedscale In Speedscale
AI can write a feature in seconds, but where are you testing it? Sending production traffic, API payloads, and auth headers to a third-party SaaS is a massive security risk. In this video, we break down why the Bring Your Own Cloud (BYOC) model is the ultimate fix for DevSecOps. Learn how to safely test AI-generated code against real production traffic entirely within your own VPC or Kubernetes cluster. No data leaks, no massive DLP pipelines, and no endless masking rules.
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databox

How to Run a Campaign Post-Mortem With AI: A Worked Example

Jun 4, 2026 By Nevena Rudan In Databox
A marketing director sits down ten days after her campaign closed. Six browser tabs are open: LinkedIn Ads, HubSpot, GA4, Mailchimp, an attribution spreadsheet, and a blank doc that is supposed to become the post-mortem narrative. The meeting is in two hours. She knows something broke in the middle of the funnel (pipeline came in below target), but she cannot prove where or why until she reconciles numbers across all six sources.
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sauce labs

Sauce Labs Adds AI-Driven Test Automation Solution to IBM watsonx Orchestrate Catalog

Jun 4, 2026 By Shubha Govil In Sauce Labs
New Sauce Labs Real Device Cloud Agent — available now in the watsonx Orchestrate Agent Catalog — can enable enterprise teams to trigger real-device tests, manage fleets, and validate app quality using natural-language commands.
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qlik

Qlik and Starburst: The Data Architecture Choice That Unlocks Enterprise AI

Jun 4, 2026 By Josh Good In Qlik
There's a pattern we see repeatedly in enterprise AI projects. A team identifies a compelling use case. They build the model. They staff the project. Then they spend the next six to eighteen months trying to solve a problem that was never on the roadmap: their data isn't ready. Not because it doesn't exist. It exists everywhere: in cloud warehouses, on-premises databases, SaaS platforms, and data lakes across multiple regions.
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ClearML

ClearML and Dell Technologies: A Faster Path to Enterprise AI

Jun 4, 2026 By Adam Wolf In ClearML
Enterprises are buying AI infrastructure faster than their platform teams can operationalize it. Dell and ClearML are working together to close that gap, giving enterprises a faster, simpler path from Dell AI Factory hardware to a production-grade AI platform. Dell carries the hardware. ClearML provides the AI infrastructure layer on top. Together, the two give platform teams a way to deliver AI as a service to their organization without a multi-year integration project.
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loadfocus

News Analysis 2026: How AI Is Transforming Automated Load Testing for Peak Performance

Jun 3, 2026 By LoadFocus In LoadFocus
Automated load testing has reached a turning point in 2026. Artificial intelligence, once a gradual addition, now drives a clear shift in how organizations validate performance. Industry reports project a 15% compound annual growth rate (CAGR) for AI in software testing from 2023 to 2026, underscoring the urgency to modernize testing practices and keep up with rapid development cycles.
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tricentis

New report: We're adopting AI faster than we trust it. Here's what the data shows.

Jun 3, 2026 By Sarah Welsh In Tricentis
We surveyed 2,501 IT decision-makers, QA professionals, and business leaders across six countries for our second annual Quality Transformation Report. Respondents came from organizations with 150-plus employees across manufacturing, energy and utilities, retail, financial services, and the public sector. One of the major findings: confidence in AI agents making release decisions dropped from 48% in 2025 to 34% in 2026. That’s a 14-point decline in a single year.
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