A universal test suite for Ably SDKs
At Ably we've been able to make a transformational change in how we build SDKs as a result of what's now possible with LLMs. In this post, I explain how.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
How Agentic AI is Rewriting the Rules of Global Trade
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.
How to Generate AI Test Cases in Katalon True Platform: A Step-by-Step Guide
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.
Process: The Missing Link Between AI Agent Orchestration and Measurable Enterprise Value
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.
Why Don't Data Leaders Trust AI? And Other Insights From Our 2026 AI Survey
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.
Is Claude Mythos 5 Worth the Hype? #speedscale #claude #mythos #claudemythos #mythos5 #aiagents
Your workflow is officially outdated. Mythos 5 just changed the game. Here is everything you need to know in under 60 seconds.
Introducing Centerprise AI: The Agentic Evolution of Data Integration & Management
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.
A Common Data Plane Simplifies Hybrid Cloud and AI
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.
Building an AI-Powered CDSS for Hospitals: Architecture, Models, and Compliance
A clinically accurate AI model can still fail inside a hospital. Not because the prediction was wrong. Because the system could not fit the reality of clinical care. The recommendation may arrive too late. The alert may interrupt the wrong workflow. The model may lack explainability. Compliance teams may block deployment before production even begins. That is where many AI-powered CDSS initiatives break down. Hospitals already struggle with alert fatigue from traditional CDS systems.
Set the Foundation for Trusted AI and Data with Snowflake AI Security
Safely deploy autonomous workflows and agents across your organization in minutes instead of months with Snowflake AI Security. Discover how to new features like use Agent Identity, Data Movement Policies, and the Snowflake Trust Center to effortlessly block data exfiltration, enforce runtime masking, and neutralize threats before they execute.