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Get Your AI to Production Faster: Accelerators For ML Projects

One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. In the age of information there are thousands of examples available when starting a new project. As a result, data scientists will often begin a project by developing an understanding of the data and the problem space and will then go out and find an example that is closest to what they are trying to accomplish.

Confluent Unveils New Capabilities to Apache Flink Offering to Simplify AI and Bring Stream Processing to Workloads Everywhere

Confluent's new AI Model Inference seamlessly integrates AI and ML capabilities into data pipelines. Confluent's new Freight clusters offer cost-savings for high-throughput use cases with relaxed latency requirements.

Introducing Confluent Cloud Freight Clusters

We’re excited to introduce Freight clusters—a new type of Confluent Cloud cluster designed for high-throughput, relaxed latency workloads that is up to 90% cheaper than self-managing open source Apache Kafka®. Freight clusters utilize the latest innovations in Confluent Cloud’s cloud-native engine, Kora, to deliver low cost networking by trading off ultra low latency performance.

Top Data Governance Tools for 2024

According to Gartner, 80% of companies worldwide are expected to have efficient data management systems in place by 2025. This projection highlights the growing recognition of data governance tools as essential enablers for maintaining and enhancing the quality and security of organizational data within these data management systems. In this blog, we will talk about some of the best data governance tools and software to consider in 2024.

Snowflake's Arctic-TILT: A State-of-the-Art Document Intelligence LLM in a Single A10 GPU

The volume of unstructured data — such as PDFs, images, video and audio files — is surging across enterprises today. Yet documents, which represent a substantial portion of this data and hold significant value, continue to be processed through inefficient and manual methods.