Systems | Development | Analytics | API | Testing

Rethinking AI Governance with Lisa Pent #Cloudera #Shorts #AIGovernance #TechRisk

New AI tools are coming out faster than ever, and your employees are working hard to stay at the cutting edge of new technology. Where does governance come into play? Explore how to govern AI without slowing down innovation in the latest episode of The AI Forecast, sponsored by Cloudera.

LiveObjects comes to Java: navigating shared state with the path API

Shared state is a hard problem in the unglamorous sense: the concepts are well understood, but someone still has to build the conflict resolution, the reconnection handling, and the state recovery before anyone can ship the feature that depends on it. That's what LiveObjects is for, and the path-based model that reshaped the API in JavaScript is now available to Java developers too.

7 Questions to Ask Before Choosing an Automated Web Testing Tool

Choosing an automated web testing tool can feel straightforward at first: compare the features, check the pricing, start a trial. But the tool your team chooses can shape how quickly you release, how confidently you catch bugs, and how much testing work your team can realistically maintain over time. To help teams ask better questions before choosing a platform, we spoke with Amber Leno, Ghost Inspector’s revenue manager.

IoMT vs. Consumer IoT vs. Industrial IoT: Why Healthcare Needs a Different Engineering Approach

The Internet of Medical Things (IoMT) is not a subset of consumer IoT. It is not an extension of Industrial IoT either. It is a distinct engineering domain defined by clinical accuracy requirements, patient safety consequences, mandatory regulatory frameworks, and data privacy obligations. IoMT vs consumer IoT vs industrial IoT is therefore not a product categorisation exercise. It is the foundational question every connected medical device team must answer before writing a single line of firmware.

How Endpoint Clinical Closed the Embedded Analytics Revenue Gap

I'll be honest: one number from the latest embedded analytics research stopped the entire planning conversation for this webinar. 57% of teams with embedded analytics report no measurable business impact, and that means not low impact or underwhelming impact, but no measurable impact at all.

What SmartBear's AWS AI Software Competency means for software teams

AI is changing how software gets built. That raises the bar for every team responsible for keeping it working. SmartBear has been developing AI capabilities across the entire quality lifecycle that help teams deliver software they trust will work at AI speed and scale. Today, SmartBear announced it has achieved AWS AI Software Competency status in the Agentic AI category through the AWS Partner program.

How Can You Trust Your AI Answers | Centerprise AI

Most AI can answer what the data says. But is that answer governed, accurate, and traceable enough to act on? Centerprise AI gives enterprises the data foundation they need to scale AI with confidence. One platform that brings together every data source, models it into a governed warehouse, and encodes your business logic as Skills.