Systems | Development | Analytics | API | Testing

Ensuring ethical AI use in QA: guidelines for responsible testing

Artificial Intelligence (AI) is reshaping Quality Assurance (QA) by accelerating testing, improving accuracy, and uncovering insights that once required hours of manual analysis. Yet, with great capability comes great responsibility. As AI begins to influence how tests are designed, executed, and interpreted, ensuring that it’s used ethically has never been more important. Responsible AI in QA isn’t only about compliance — it’s about trust.

Demo: Streaming Agents for price matching, with RAG, observability, and Real-Time Context Engine

Streaming Agents enable you to build, deploy, and orchestrate event-driven agents on Apache Flink and Apache Kafka. Embedded in the stream, they can tap into the latest enriched data and be the eyes and ears of a business, continuously monitoring and acting on live operational events. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, shows how to build price matching agents, do vector search for retrieval augmented generation (RAG), and leverage Confluent’s Real-Time Context Engine to process and serve fresh context the moment it’s needed for AI decision-making.

Ep 46 | Keeping Humanity in the Age of AI with Jess Von Bank

What does it mean to design AI with humanity at its core? Jess Von Bank—futurist, HR transformation leader, and president of Diverse Daisies—joins The AI Forecast to discuss. With host Paul Muller, the two explore how AI is reshaping the workforce and our very sense of what it means to be human. From AI-driven recruiting and workforce redesign to the mental health crisis and the erosion of human connection, Jess challenges leaders to slow down, think deeply, and build technology that serves people—not replaces them.

AI and Data Privacy: 3 Top Concerns and What to Do About Them

The stakes for AI and data privacy are high. Risks in non-production environments are increasing. Regulatory bodies enact new privacy regulations each year. And concerns are rising as the AI/ML boom continues. Businesses like yours must be aware of key AI data privacy challenges. Read on to learn what these challenges are and how to address them.

Introducing Real-Time Context Engine: Simplified Context Engineering With Real-Time, Processed Data for AI

We’re excited to announce our Real-Time Context Engine, now available in Early Access. It’s a key part of Confluent Intelligence, our vision to bring real-time data directly to production AI systems through the power of Apache Kafka and Apache Flink.

WSO2 Expands AI and B2B Capabilities Across Identity and Access Management Product Family

Newest WSO2 Identity Server and Asgardeo IDaaS versions speed the deployment of secure AI Agents via new agentic IAM features, expand AI capabilities that improve IAM developers' experience, and extend WSO2's leadership in B2B CIAM.

The Connectivity Layer of AI | Kong Konnect for Agentic Digital Experiences

APIs are the nervous system of AI. In this API Summit 2025 keynote, Kong outlines the AI connectivity layer: unifying API and LLM traffic, adopting agent protocols like MCP, introducing an AI gateway pattern, and enabling usage-based monetization with realtime metering and billing in Konnect. Key takeaways: Learn more: Subscribe for more on API and AI connectivity. Explore Kong Konnect to standardize governance, scale LLM/agent traffic, and monetize usage.

Using Atlassian Rovo and Xray - The future of AI-Powered Test Management

Atlassian Rovo is the latest evolution of AI-powered knowledge discovery and workflow assistance, built by Atlassian to help teams turn scattered information into meaningful actions. Rovo works on three core dimensions: Rovo is available in all Atlassian products by default. Users have multiple methods to engage with the AI, each offering different levels of complexity and interaction.