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Analytics

Overcoming ESG Data Challenges: Why 2025 is the Year to Act

Environmental, Social, and Governance (ESG) reporting is no longer a forward-thinking corporate initiative—it’s an immediate business imperative. With regulatory deadlines fast approaching, stakeholders demanding transparency, and the financial risks of inaction rising, companies must move beyond reactive reporting to proactive ESG data management.

Snowflake Accelerates Self-Serve Data Warehouse Migrations with Free SnowConvert for All

Migrating from a traditional data warehouse to a cloud data platform is often complex, resource-intensive and costly. At Snowflake, we believe every organization should benefit from an easy, enterprise-grade and collaborative cloud AI and data platform — and should be able to make that transition as fast and automatic as possible.

With a Snap of Your Fingers, Data Flows

We are sprinkling a little Mary Poppins magic directly into Qlik Cloud Analytics with the introduction of Data Flow, our new no-code data prep designer. Imagine your data as a chaotic nursery, with spreadsheets strewn about like toys and insights hiding under the metaphorical bed. Enter Data Flow—your very own magical briefcase for the digital age. With a snap of YOUR fingers (or rather, a click of your mouse), it transforms your data disarray into a perfectly organized analytics wonderland.

The Rise of DeepSeek AI: A Turning Point for the Industry

Tech headlines over the past week have been dominated by DeepSeek AI, which recently launched its groundbreaking R1 model. What’s most remarkable? The reported development cost—just under $6 million. This announcement challenges the long-held belief that creating advanced AI models requires astronomical investment, shaking the foundation of the tech industry and causing a ripple effect on global markets.

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.