Systems | Development | Analytics | API | Testing

A Google Data Cloud Leader's Formula for Token-Efficient AI

Jul 22, 2026 By ThoughtSpot In ThoughtSpot
For most enterprises, autonomous AI agents still feel like a risk waiting to happen. Andi Gutmans, Vice President and General Manager for Data Cloud at Google, joins Cindi Howson to explain what it takes to build the data foundation that trustworthy agentic AI depends on. He breaks down how organizations can finally activate the 90 percent of enterprise data that's unstructured, why tokenmaxxing is the wrong way to measure AI value, and how open standards like Apache Iceberg are helping leaders tear down fragmented, multi-cloud data silos and unify data across clouds.
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bugraptors

Securing Non-Deterministic Systems: Comprehensive AI Security Testing for Enterprises

Jul 22, 2026 By Prateek Goel In BugRaptors
Enterprise QA teams are discovering that deploying machine learning models breaks their existing validation pipelines. Legacy testing environments rely on a simple truth: fixed inputs must produce predictable outputs. Because intelligent architectures operate on probabilistic distributions, deterministic testing alone can no longer guarantee reliability. When conducting a code review or architectural risk assessment, treating an active model as a standard black-box API leaves critical flaws unaddressed.
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kong

Why Integration and MCP Are the New Foundation of Your Agentic AI Strategy

Jul 21, 2026 By Heather Halenbeck In Kong
If you've been following the agentic AI wave, you've probably noticed that the conversation tends to center on the agents themselves: which LLM to use, which orchestration framework to pick, which use cases to tackle first. But a growing body of analyst research is pointing to a different bottleneck, one that's hiding in plain sight: integration. Forrester's David Mooter argues that integration must sit at the center of your AI strategy — not as plumbing, but as a strategic capability.
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qlik

The AI Opportunity Gap Is Real. It's Growing. And It Is Not About Access to Tools.

Jul 21, 2026 By James Fisher In Qlik
In the first part of this series, I argued that discernment, the ability to recognise when an AI-generated answer is wrong, is becoming one of the most valuable capabilities inside an organisation. The question this piece addresses is simpler and harder: who is actually being given the opportunity to develop it? The AI opportunity gap is real. It is not primarily a gap in access to tools. It is a gap in permission. And I believe that gap starts earlier than most leaders realise, often in school.
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Perforce IPLM Ask AI: Find IP, Metadata, and Design Context Instantly

Jul 21, 2026 By Perforce In Perforce
See the new Ask AI interface in Perforce IPLM. In this quick 1.5-minute demo, the Perforce product team shows how engineers can use natural language to query IPLM, retrieve IP versions and metadata, and access critical design context without navigating complex menus or queries. The Ask AI feature is powered by the IPLM MCP Server and Perforce Agentic Gateway, allowing you to.
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InsightSoftware

How To Unlock AI Data Anywhere (Even On-Prem) for Regulated Industries

Jul 21, 2026 By InsightSoftware In InsightSoftware
Most AI content assumes your data is in the cloud. But for a meaningful segment of enterprises, cloud-only AI tools block them at the pass. For regulated industries like manufacturing and healthcare, data residency requirements, compliance mandates, security policies, and simple operational reality mean sensitive data must remain on-premises.
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katalon

Prompt Engineering for Manual Testers: How to Get Useful Output from AI Tools

Jul 21, 2026 By Depa Panjie Purnama In Katalon
You opened the AI assistant for the first time with a fair amount of hope. You typed "write test cases for the login page." You got eight test cases back in about three seconds. Valid login. Invalid password. Empty username. Empty password. The kind of list you could have written in your sleep, missing every scenario that actually matters for your product. So you closed the tool and thought: this is fine for the basics, but it does not really get testing. AI is overhated.
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perforce

How to Achieve India's DPDP Compliance for Non-Production Data & AI Workflows

Jul 21, 2026 By Perforce In Perforce
Like many other countries, India has made moves to protect consumers’ data. Comparable to the European Union’s General Data Protection Regulation (GDPR), India’s Digital Personal Data Protection (DPDP) Act establishes new, higher standards for data privacy, timely breach notification, and consent management.
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