Systems | Development | Analytics | API | Testing

Meetup - AI Lakehouse

Watch deep-dive presentations and live demos from industry experts as they unpack next-generation data frameworks built from the ground up for multimodal AI, autonomous data agents, and cross-cloud architectures. Key Technical Highlights Inside: AI Lakehouse Meetup - Bay Area 15th July 2026 Cloudera SanJose Office A must-watch technical guide for data engineers, platform architects, and MLOps teams!

9 Best Agentic AI Data Quality Tools in 2026

Bad data doesn't announce itself. It flows silently through your data pipeline, lands in your dashboards, and feeds your AI models until someone downstream notices the numbers don't add up. By then, the damage is done: a flawed forecast, a miscalibrated model, a compliance gap you didn't see coming. For data engineers and analytics managers, this is a significant operational risk.

Agentic Data Management: What It Is and Which Tools Deliver It

Data engineering teams often spend a substantial portion of their time maintaining pipelines instead of building new data products, particularly as environments become more complex. Many organizations still struggle with stale, inconsistent, or low-quality data, leading to delayed or less reliable decision-making. Traditional data management tools alert you to problems but leave the fixing to human hands.

Connect Your SAP & Non-SAP Data to SAP Business Data Cloud for Unified Enterprise Analytics

You’ve invested in SAP Business Data Cloud to unify your analytics. Your SAP data flows into its’s semantic models and Joule. But your Oracle financials, Microsoft Dynamics operations, and Workday HR data still sit isolated—separate analytics tools, separate metrics, separate dashboards. The result is an incomplete picture. Your analytics reflect part of how your business runs, not all of it.

API testing for agent-driven code: SmartBear ReadyAPI MCP for Claude, Copilot, Cursor, and compatible agents

Key takeaway: When code moves at AI speed and testing stays manual, the widening gap between a code change and its test coverage becomes your biggest quality risk. SmartBear ReadyAPI MCP reduces that gap by letting you generate, run, and heal API tests in plain language, right inside the Claude, Copilot, or Cursor session that wrote the code.

Your Mobile Tests Just Got a Lot Less Repetitive | What's New in Katalon Studio | Give It a Test

Katalon Studio's latest update is out. Sơn Huỳnh (Support Engineer, Katalon) walks through what's new in Katalon Studio 11.3 and 11.4 — from a faster, more direct Mobile Recorder to saving your AI-generated API tests straight into the repository.

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

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.

How to run your first API contract test in five minutes | SmartBear Swagger Contract Testing drift

Learn how to create, configure, and verify your first API contract test with SmartBear Swagger Contract Testing drift. Teams know contract testing prevents breaking API changes, but most stall out before they start – citing “we don't have time, we don't have the right skills, or we don't have the resources.” SmartBear Swagger Contract Testing removes that onboarding friction with drift, a capability that automates schema validation so you can adopt Interface-Driven Development (IDD), making your API specification the primary artifact of your build process in minutes.

What's New in ThoughtSpot's Latest Release (26.7)

Check out what’s new in ThoughtSpot’s latest release! Spotter User-Level Personalization: Spotter now builds memory from your individual conversations, remembering your personal preferences, so it adapts to how you work and you spend less time repeating yourself. SpotterViz for Embedded Liveboards: Embed SpotterViz directly into your embedded smart dashboards and empower your users to build, edit, and explore decision-ready dashboards in minutes.