Announcing DeepSeek-R1 in Preview on Snowflake Cortex AI

We are excited to bring DeepSeek-R1 to Snowflake Cortex AI! As described by DeepSeek, this model, trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT), can achieve performance comparable to OpenAI-o1 across math, code and reasoning tasks. Based on DeepSeek’s posted benchmarking, DeepSeek-R1 tops the leaderboard among open source models and rivals the most advanced closed source models globally.

EP 8: Data leakage: The missed opportunity of lost data

Data has so much promise, but organizations struggle to use it effectively, especially with the increasing complexity of managing large projects and the pressure of incorporating AI. On this episode of The AI Forecast, we’re joined by Simon Asplen-Taylor, the founder and CEO of DataTick and author of “Data and Analytics Strategy for Business”. Simon has spent years counseling organizations on getting their data right. In this episode, Simon shares the common missteps organizations experience with their data – with all roads leading back to data quality and a wild west of data collection across a business.

Transforming Retail with AI: Confluent and Microsoft Azure

Discover how Confluent’s Data Streaming Platform and Microsoft Azure are revolutionizing the retail industry. In this video, learn how real-time data streaming and AI-powered insights can: Explore how Confluent and Azure’s seamless integration enables retailers to break down data silos, streamline operations, and accelerate innovation with scalable, enterprise-ready solutions. Whether you’re looking to modernize your retail infrastructure, enhance customer engagement, or drive operational efficiency, this video is your guide to leveraging AI and real-time data streaming.

Introducing Real-Time Embeddings: Any Model, Any Vector Database-No Code Needed

We’re excited to announce the Create Embeddings Action, the newest member of Confluent Cloud for Apache Flink Actions suite and the first step in our journey toward no-code AI workflows. This no-code feature enables you to generate vector embeddings in real time, from any model, to any vector database, across any cloud platform. It’s the easiest way to create a live semantic layer for your AI workflows—ensuring fresher, more accurate data for better-performing systems.