Agentic AI and the Future of Software Testing: A Q&A with Angie Jones
Explore how this emerging technology is changing and evolving the software development and testing fields.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Train your own AI model: Know the Buts and Hows
Have you ever wondered how apps like Google Maps predict traffic, or how Netflix knows exactly what you want to watch next? Or better yet, how can chatbots (like ChatGPT!) carry on conversations almost like humans? The magic behind it all? AI models. But what exactly is an AI model? Is it some complex algorithm sitting in a dark server room somewhere? Or is it the new digital brain behind today’s smartest tools? In simple terms, AI models are like trained minds.
Automating Hybrid Cloud Storage with IaC, Red Hat Ansible and VSP 360
At the heart of any enterprise data management strategy is the driving principle of infrastructure as code (IaC), the practice of defining, provisioning and managing infrastructure through code, and a foundational approach for enabling continuous delivery (CD).
Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery
AI.GENERATE_TABLE() in BigQuery lets you convert unstructured data into a structured table based on the provided prompt and table schema.
Confluent unites batch and stream processing for faster, smarter agentic AI and analytics
On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data. New private networking and security features make stream processing more secure and enterprise-ready.
EP 24 | Why AI Agents Are the Future of Enterprise AI with Cloudera's Abhas Ricky
AI agents are quickly becoming one of the most powerful tools in the enterprise AI toolkit. According to Cloudera’s latest Agentic AI Survey, 96% of enterprises plan to expand their use of AI agents. But what’s driving this surge, and how can organizations turn hype into results? In this episode of The AI Forecast, host Paul Muller sits down with Abhas Ricky, Chief Strategy Officer at Cloudera, to explore the real momentum behind agentic AI. From healthcare to telecom, Abhas unpacks how AI agents are already transforming operations with speed, intelligence, and autonomy.
Confluent Current 2025 highlights
Current 2025 featured two days of engineers figuring out how streaming tech needs to evolve in an AI-driven world. Gone are the days when talks focused on basic Kafka setup. This year, everyone was tackling complex integrations, developer happiness, and practical AI implementation. Still, the event drew a range of people, with plenty of new faces stopping by the Lenses.io booth – clear evidence that Kafka and data streaming continue to attract newcomers.
Keynote: Unifying Batch and Streaming in the Age of AI
Join us to explore how Confluent is unifying streaming and batch to power real-time, AI-ready applications. Learn about our latest product innovations, hear directly from customers, and see what’s next in the future of data.
What Is Codename Goose? Angie Jones Explains
Codename Goose isn’t just another AI tool — it’s a fully customizable, open-source client that connects to 4,000+ MCP servers and works with any large language model (LLM). In this clip from Test Case Scenario, Angie Jones breaks down why Goose is such a game-changer for automation, productivity, and how we interact with systems through natural language. Full episode now live with Angie Jones — hosted by Sauce Labs.
Memory in AI Agents: What You Need to Know
AI agents are learning to remember, and that changes everything. Memory is what allows AI agents to go beyond one-off answers. It helps them retain context, learn from past interactions, and make more thoughtful, personalized decisions over time. In today’s episode, our AI Product Strategist, Ayesha Amjad, breaks down the critical role of memory in agentic AI systems.