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How Enterprise Teams Are Automating AI Compliance at Scale | Perforce 2026

Jul 30, 2026 By Perforce In Perforce
AI has changed how fast software ships. It hasn't changed how compliance gets done, until now. In this session, Perforce CTOs Anjali Arora and Rod Cope are joined by Nico Kruger, Senior Director of Global Sales Engineering, to break down why traditional compliance can't keep pace with AI-native development, and what replaces it. Topics covered: This is the fourth and final session in the "When AI Starts Shipping Code" webinar series, exploring how AI is reshaping software delivery from development through governance, testing, and now compliance.
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lenses

Consumer offset mapping in Kafka-to-Kafka replication

Jul 30, 2026 By Carlos Teixeira In Lenses
If you replicate data between two distinct Kafka clusters, you already know the payloads can match while the offsets might not. This post is about how K2K 2.0 now also keeps consumer committed offsets in sync between the source and the target so consumer groups can fail over in a Disaster Recovery situation, avoiding large re-reading of data or row skips. This offers the community more choice for DR than just MirrorMaker2 and Confluent solutions have until now.
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lenses

Introducing K2K 2.0: Enterprise Kafka DR - without vendor lock-in

Jul 30, 2026 By Jonas Best In Lenses
Summary Kafka has become the backbone of the real-time enterprise. The streams it carries are not only time, but business critical: a fraud event isn't processed, a sales order not fulfilled, a trade not settled. Yet we heard a recurring theme from Kafka teams: their business is running critical streaming applications without proper Kafka resiliency.
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What Is a Generative Engine Optimization Checker and How Does It Work?

What Is a Generative Engine Optimization Checker and How Does It Work?

Jul 30, 2026 By SystemsDigest In SystemsDigest
With Artificial Intelligence (AI) quickly changing how people discover information online, search is no longer limited to traditional search engines. This creates a new challenge for businesses and marketers in terms of knowing whether generative engines can find, understand, and recommend their content.
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What is Sauce Labs AURA? The AI-Unified Release Assurance Platform

Jul 29, 2026 By Sauce Labs In Sauce Labs
AURA: AI-Unified Release Assurance is the world's only closed-loop agentic platform that authors, runs, and analyzes tests with human oversight, informed by 8.7B+ test executions. It takes you from business intent to production confidence at AI speed. From the founders of Selenium and Appium.
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bugfender

AI Debugging: How to Use AI to Find and Fix Bugs Faster

Jul 29, 2026 By Aleix Ventayol In Bugfender
At its simplest, AI debugging automates repetitive coding tasks like searching logs, reading stack traces and comparing sessions. But good AI debugging is a much more challenging concept that relies on focused context, runtime evidence and structured investigation paths. In this post we’ll show you how to debug with AI, not just productively but also responsibly. Let’s get into it.
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qlik

Unlocking the Power of Trusted Data Intelligence: Amazon Quick Meets Qlik MCP Server

Jul 29, 2026 By Giacomo Brioschi, Sathisan Vannadil, & Sunil Yerkola In Qlik
When was the last time you made a major business decision and were completely certain the data behind it was accurate, complete, and trusted? For most organizations, that certainty is less common than it should be. Qlik and Amazon Quick together solve one of the biggest obstacles to AI adoption: knowing whether you can trust the output.
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thoughtspot

Advancing ThoughtSpot's Commitment to Apache Ossie (Incubating), the Next Chapter of OSI

Jul 28, 2026 By Francois Lopitaux In ThoughtSpot
When the Open Semantic Interchange (OSI) initiative launched last year, it set out to solve a problem every data leader recognizes: the same business metric gets defined a dozen different ways across a company's BI tools, warehouses, and now, AI agents. "Monthly active users" in the CRM rarely matches "monthly active users" in the warehouse, and every new AI copilot added to the stack makes the gap more visible, not less. That initiative has just taken its most consequential step yet.
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