Learn how Cortex Search provides hybrid search at enterprise scale The post Snowflake Cortex Search: State-of-the-Art Hybrid Search for RAG Applications appeared first on Snowflake ..read more

Over the last year, as Snowflake has focused on putting AI tools in the hands of its customers, we have prioritized easy, efficient and safe enterprise generative AI.  With that in mind, we’re happy to announce the general availability of safety guardrails for Snowflake Cortex AI with Cortex Guard, a new feature that enables enterprises to easily implement safeguards that filter out potentially inappropriate or unsafe large language model (LLM) responses. Cortex Guard introduces a foundational safety feature that further helps our customers feel confident moving from proof of concept to a ..read more

Today, Snowflake is excited to announce that the Llama 3.1 collection of multilingual large language models (LLMs) are now available in Snowflake Cortex AI, providing enterprises with secure, serverless access to Meta’s most advanced open source model. Snowflake offers the largest context window of any vendor, at 128k, for the Llama 3.1 collection of models.  Using Cortex AI, Snowflake customers can securely use their data with Meta’s newest open source models for AI app development. Llama 3.1 405B, along with 8B and 70B models, are now available for serverless inference, with fine-tuning ..read more

A robust, modern data platform is the starting point for your organization’s data and analytics vision. At first, you may use your modern data platform as a single source of truth to realize operational gains — but you can realize far greater benefits by adding additional use cases. In this blog, we offer guidance for leveraging Snowflake’s capabilities around data and AI to build apps and unlock innovation.  A three-phase approach to expanding data platform capabilities Enterprises may face a slowdown in their data platform maturity journey after migrating their legacy data systems to a ..read more

A potential recipe for disaster proved to be the focus of every data executive’s agenda over the last year. A year ago many data leaders were caught off-guard. Employees embraced new gen AI tools with fervor, driving interest in all AI initiatives. Generative AI had penetrated the enterprise, with gen AI positioned in the Peak Of Inflated Expectation segment on the Gartner® Hype Cycle for Artificial IntelligenceI, 20231. At the same time, however, a survey of CDOs reported that over half of data leaders had not formally addressed growing adoption. Yikes!? Not really. Fast-forward to the presen ..read more

All eyes are on sports this summer, with blockbuster events happening in everything from soccer and cycling to cricket and car racing. Snowflake is excited to join the action with a virtual “relay race,” where Snowflake sports and data experts, customers and partners will demonstrate how the sports industry can win big with data and AI. Industry leaders already know that sports runs on data analytics: from individual athlete performance and team statistics, to marketing and fan engagement, to ticket and merchandise sales, to sportsbooks and beyond. AI can supercharge those analytics and delive ..read more

Leaders in the advertising, media and entertainment industries know all too well the importance of the media supply chain. It’s the backbone that keeps things running smoothly, including everything from content creation and management to content distribution and analytics.   But media supply chains are becoming more complex to manage for several reasons. Customer behavior and preferences are constantly changing and growing more demanding — users now expect content to be easily accessible anytime, anywhere, from any device. As a result, operational processes are evolving to accommodat ..read more

There is a scene in Mission: Impossible – Rogue Nation where Tom Cruise is hanging onto the outside of a jet as it has taken off. And while, yes, he’s going with it, he’s not really on board or in control. Some data executives feel like that. It’s not enough to establish goals — or, the destination in this metaphor. The data strategy must provide a flight plan for making sure you get there  — on time, on budget and, of course, safely on board.  Indeed, your data strategy starts with your ambitions — your business goals. However, the journey is not only about the destination. Afte ..read more

Snowflake is committed to helping customers protect their accounts and data. That’s why we have been working on product capabilities that allow Snowflake admins to make multifactor authentication (MFA) mandatory and monitor compliance with this new policy. As part of that effort, today we’re announcing several key features:  1. A new authentication policy that requires MFA for all users in a Snowflake account 2. Snowsight prompting for user-level MFA setup 3. The general availability of Snowflake Trust Center for monitoring adherence to MFA policies  Snowflake’s security approach inv ..read more

Regulated and sovereign markets across the world have stringent requirements stipulating certain important data be kept within geographical borders or even for certain workloads to have dedicated environments, separate from those of other customers. In these markets, organizations need a secure and well-governed data foundation with effective controls to help comply with regulatory requirements. Historically, Snowflake has supported more than 40 cloud regions across AWS, Google Cloud Platform and Microsoft Azure. Now, Snowflake is expanding into regulated sovereign markets through platform cap ..read more