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thoughtspot

How Thrive Learning Scaled 56K Users with Agentic Analytics

Jun 10, 2026 By Lindsay Lukens In ThoughtSpot
Live from Snowflake Summit '26, tech leaders from around the globe gathered to discover how the world’s most innovative companies are making AI real for business. But few sessions delivered as much raw, practical insight as the one presented by Frankie Woodhead, Chief Product & Technology Officer at Thrive Learning. Heading up a fast-growing, £20m ARR LearnTech business that serves over 500 global customers and 5 million users, Woodhead didn't give a standard product pitch.
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Ep 77 | The Rise of VibeOps: How AI Is Transforming Network Automation

Jun 10, 2026 By Cloudera, Inc. In Cloudera
For decades, network teams have been forced to choose between speed and stability. AI may finally be changing that equation. In this episode of The AI Forecast, Paul Muller sits down with John Capobianco, Head of AI and Developer Relations at Itential and author of “Automate Your Network,” to explore how AI is reshaping the future of network operations. Drawing on decades of experience in network engineering, John explains why network automation has struggled to gain traction and how AI, agents, and Model Context Protocol (MCP) could finally break the bottleneck.
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How Agentic AI is Rewriting the Rules of Global Trade

Jun 10, 2026 By ThoughtSpot In ThoughtSpot
Explore how a global supply chain company turned its data platform into a customer-facing product designed to operate at the speed of disruption. Boris Rabkin, Chief Information Officer at Ligentia, shares how the company executed that shift through a deliberate phased approach and a partnership with ThoughtSpot. He breaks down how to build a data foundation that scales, what it takes to embed analytics where decisions happen, and how to structure AI ownership and governance across a global regulatory environment.
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katalon

How to Generate AI Test Cases in Katalon True Platform: A Step-by-Step Guide

Jun 10, 2026 By Monty Bagati In Katalon
Writing test cases sounds simple until you're actually doing it. You read a requirement, try to figure out what "done" even means for it, write out steps, realize you missed three scenarios, go back, revise, and by the time you feel okay about it, the sprint has moved on without you. This happens to every team working at any real scale. It is just what manual test case creation costs you, and it is the problem autonomous test generation was supposed to solve at a category level.
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astera

Introducing Centerprise AI: The Agentic Evolution of Data Integration & Management

Jun 9, 2026 By Ayesha Amjad In Astera
Astera today announced the launch of Centerprise AI, the agentic evolution of its enterprise data management platform. Centerprise AI embeds proprietary agentic harness across the full data management stack, enabling data teams to design, test, and deploy their data assets, warehouses, pipelines, data models, and analytics in a single platform.
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appian

Process: The Missing Link Between AI Agent Orchestration and Measurable Enterprise Value

Jun 9, 2026 By Matthew Morton In Appian
AI is at the center of every conversation around operational efficiency, while at the same time being sidelined. In a recent Harvard Business Review Analytic Services survey, only 18% of organizations report that AI is integrated within most of their workflows; twice as many run it as a standalone tool alongside the work. That gap—between AI that assists and AI that operates—is the defining problem of enterprise AI agents.
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InsightSoftware

Why Don't Data Leaders Trust AI? And Other Insights From Our 2026 AI Survey

Jun 9, 2026 By InsightSoftware In InsightSoftware
Ever since AI-driven analytics burst onto the scene, product leaders have been racing to adopt it. Promoted as a way to stay ahead of the curve, AI analytics bring the promise of streamlined processes, personalized recommendations, and a more efficient user experience. But AI advancements aren’t without pitfalls, chief among them inaccuracies caused by AI hallucinations and pilot projects not making it to production.
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hitachi vantara

A Common Data Plane Simplifies Hybrid Cloud and AI

Jun 8, 2026 By Andy Gremett In Hitachi Vantara
Hybrid cloud was meant to simplify IT — but for many organizations, it has done the opposite. As data spreads across on-premises systems, multiple clouds and edge environments, complexity (not flexibility) has become the defining challenge. With AI initiatives now dependent on distributed, high-quality data, this complexity directly impacts performance, governance, and cost. The lack of a unified view and thereby management of data is the biggest issue spurred by complexity.
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