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.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
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.
Why You Need An Ai Code Checker
Imagine waking up to an email from a junior developer: I just wrote 1,000 lines of flawless code in under an hour! Impressive? Absolutely. Suspicious? Maybe. Thanks to AI tools like GitHub Copilot, ChatGPT, Cursor and Claude, writing code has never been faster. But as AI-generated code floods repositories, classrooms, and businesses, a critical question arises: How do we know if code was written by a human or an AI?
DreamFactory MCP explainer (Enterprise AI)
Watch how DreamFactory's MCP Server allows for natural language queries of your direct database with a high level of accuracy. Additionally, RBAC ensures data governance by making sure only the correct data is exposed to certain users based on their roles.
How eXalt Built a Secure and Scalable ChatGPT Alternative with Koyeb
eXalt is a French consulting firm with over 1200 consultants and offices in Paris, New York, London, Madrid, Lisbon, Brussels, and throughout France. They specialize in Finance and Tech, offering expertise in data science, cybersecurity, software development and IT infrastructure, project and product management, and more. When eXalt consultants are on assignment, they often need fast, reliable access to a ChatGPT-like tool to help with research and problem-solving.
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.
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.
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.
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.
Data streaming enables AI product innovation, say 90% of IT leaders in new Confluent report
In the largest global report on data streaming, 89% say DSPs make AI adoption easier. 90% of IT leaders are boosting investments in DSPs in 2025.