Systems | Development | Analytics | API | Testing

AI in a Box: Experience the Future of Private AI at Dell Technologies World with Cloudera, Dell Technologies and NVIDIA

The race to operationalize private AI at enterprise scale isn’t just about models and algorithms—it’s about infrastructure that refuses to compromise. Welcome to the inaugural post of AI in a Box, a three-part blog series that unpacks how Cloudera, Dell Technologies, and NVIDIA are redefining enterprise AI with a turnkey solution that unifies cutting-edge AI-optimized hardware, intelligent data orchestration and AIOps tooling, and zero-trust governance.

What Are LLM-Driven AI Agents? Explained Simply with Real Examples

If you're curious about what AI agents truly are and how they work in real-world scenarios, this video is for you. In this first episode, our AI Product Specialist Hasham Qazi takes you through what LLM-driven AI agents really are. He breaks down the key components, shows real-world examples, and explains exactly how they work in practice. Ready to build your own autonomous AI agents in just a few hours using a visual drag and drop builder that works with your enterprise data?

Unlocking Disney's Magic: AI And Automation In Multimedia Storytelling

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Nick Winfrey, Vice President of Data Science and Data Strategy at The Walt Disney Company. They explore Disney's extensive use of AI, automation, and data science to optimize advertising and enhance fan experiences. The conversation also delves into the importance of diversity in data teams, the crucial role of AI and ML in media and entertainment, and how Disney leverages audience behavior and loyalty across different platforms.

The Confluent Q2 '25 Launch

The Confluent Q2 ’25 Launch brings together the best of batch and stream processing. We’re introducing Flink snapshot queries (Early Access), Tableflow support for Delta Lake tables (Open Preview), and more! Our quarterly launches provide a single resource to learn about the new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.

BI as a Service: 4 Reasons Smart Agencies Grow Faster with Business Intelligence

Based on a sample of data from ~1,000 agencies and 14,000 clients, we estimate that agencies lose about 38% of their clients every year. Based on my 1,000s of conversations with agencies over the years, I think I know one of the big reasons why. Most agencies have been stuck in the same pattern for years: Do good work, report on it, wait for feedback, hope for renewal. They start strong—engaged with the client’s leadership, aligned on strategy and goals, excited to build.

The VSP One Data Platform Meets its Data Management Counterpart: Introducing VSP 360

Peanut butter has jam. Wine has cheese. Great Britain has pubs. The world is filled with things that are great alone, but that together, create an even greater – dare I say, legendary – combination. Now it comes to the world of data platform management. Sorry, I’m getting ahead of myself. You see, a few months back I predicted 2025 was going to be a big year for data platforms. One such solution being Hitachi Virtual Storage Platform One (VSP One).

Introducing the Next Generation of Control Center for Confluent Platform: Enhanced UX, Faster Performance, and Unparalleled Scale

We're excited to announce the release of the next generation of Control Center for Confluent Platform, which delivers higher partition limits, faster spin-up time, metrics freshness, and simpler operational overhead. Confluent introduced Confluent Control Center in 2016 as part of Confluent Platform, simplifying Apache Kafka operations and delivering end-to-end visibility into data pipelines.

Confluent Releases Managed V2 Connector for Apache Kafka for Azure Cosmos DB

We’re excited to announce the General Availability (GA) of the Confluent fully managed V2 connector for Apache Kafka for Azure Cosmos DB! This release marks a major milestone in our mission to simplify real-time data streaming from and to Azure Cosmos DB using Apache Kafka. The V2 connector is now production-ready and available directly from the Confluent Cloud connector catalog.

New in Confluent Cloud: Bringing Together the Best of Batch and Stream Processing

Your teams want the immediate insights of stream processing with the scale and historical context of batch processing—but traditional data infrastructure forces you to resort to disparate tooling or manual workarounds to bridge that gap. This quarter’s release, coming to you live from Current London, brings new features in Confluent Cloud that fundamentally change this dynamic by seamlessly unifying stream and batch processing.