Systems | Development | Analytics | API | Testing

The AI Tipping Point: What Retail Leaders Need to Know for 2025

AI is here to stay. While 2023 brought wonder and 2024 ushered in widespread experimentation, 2025 will mark the year that retailers get serious about AI's real-world applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production even as major AI innovators face competition from newer upstarts. At this point, the pace of AI evolution is outstripping the news cycle.

Turning AI Ambitions into ROI: Overcome Data Challenges with Snowflake Partners

Generative AI’s potential to drive innovation, improve efficiency and create competitive advantages is enormous. However, the ability to fully realize the benefits of generative AI hinges on one crucial factor: data strategy. “Data Strategies for AI Leaders,” a report co-written by MIT and Snowflake, underscores how organizations must invest in robust data foundations to succeed in the AI era.

Top Gen AI Use Cases: How to Turn Unstructured Data into Insights and Shape the Future of Your Enterprise

Across all industries, generative AI is driving innovation and transforming how we work. Use cases range from getting immediate insights from unstructured data such as images, documents and videos, to automating routine tasks so you can focus on higher-value work. Gen AI makes this all easy and accessible because anyone in an enterprise can simply interact with data by using natural language.

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.

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.

Snowflake Projection And Aggregation Policies: Enhance Data Security And Collaboration

In this video, we dive into Projection and Aggregation Policies in Snowflake, two powerful features that help you manage and secure sensitive data while unlocking new use cases. What are Projection and Aggregation Policies? Projection Policies define whether a column can be included in the output of a SQL query. Aggregation Policies enforce that queries against aggregation-constrained tables must group data into minimum-sized chunks to prevent the return of individual records, helping protect privacy.

The AI Tipping Point: What Public Sector Leaders Need to Know for 2025

AI is proving that it’s here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that the public sector gets serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.

Advanced, Built-In Data Governance and Data Discovery with Snowflake Horizon Catalog

With the advent of generative AI and large language models (LLMs), enterprises are racing to unlock as much business value as possible from their data assets, including apps and models. Unfortunately, these data assets are often locked away in silos across multiple cloud service providers and solutions, as well as across different partner, customer and vendor ecosystems.

The Marketing Agency of the Future: Powered by Unified Data, Trust and AI

We are entering a new era for marketing and advertising agencies. From evolving consumer expectations and increasingly stringent privacy regulations to the rise of AI, the landscape is shifting rapidly. To remain competitive, agencies need to reimagine how they operate. The winners will be those that adopt forward-thinking data strategies, build trust with partners and clients, and leverage AI to deliver real-time insights and personalized campaigns.