📣 #SnowflakeSummit session recordings are now available on-demand! Couldn’t make it to Data Cloud Summit in San Francisco? You can now access 40+ session recordings from the event, so you can catch up on all the product announcements and explore customer use case presentations, best practices sessions, live demos, and more: https://okt.to/ihyMUW
Snowflake
Software Development
Snowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.
About us
Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.
- Website
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http://www.snowflake.com
External link for Snowflake
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- The Cloud
- Type
- Public Company
- Founded
- 2012
- Specialties
- Data Warehousing, Cloud, Analytics, Data Lake, Marketing Analytics, Data Applications, Data Engineering, Data Science, and Data Exchange
Locations
Employees at Snowflake
Updates
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Your data strategy starts with your ambitions — your business goals. However, the journey is not only about the destination. After defining the goals, where you want to go, you need to evaluate where you currently are as an organization. Jennifer Daniell Belissent, PhD shares how to map your data strategy journey from origin to destination📍
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We've been cooking up a series of exciting product integrations with Microsoft. Shankar Narayanan SGS, Principal Architect at Microsoft and Snowflake Data Superhero, shares insights on the latest innovations from Microsoft and Snowflake. Tune in as he dives into the architecture of Snowflake on Azure and explains how customers are leveraging Microsoft Cloud's leading offerings with Snowflake to create a comprehensive data stack for data utilization, analytics, and AI application development.
What's New with Microsoft and Snowflake
https://www.youtube.com/
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More than just a data catalog, the Atlan platform provides a way for data users, be they analysts, engineers, scientists, or business or marketing professionals, to share and collaborate with AI-ready data. Austin Kronz, Director of Data Strategy at Atlan, Atlan customer Ashfaq Mohiuddin, Global VP of Data and AI at HubSpot, and Data Cloud Now anchor Ryan C. Green explore how the platform works and the benefits it provides.
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The sports industry runs on data: from individual athlete performance and team stats, to viewership and fan engagement, to ticket and merchandise sales, and to sportsbook and beyond. As the world gears up for a summer full of athletic events, join us to learn how sports organizations that are harnessing the power of their data and leveraging the latest in gen AI are taking the lead. Register now to participate.
The Summer of AI and Data: Winning with Data in Sports
snowflake.com
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The Data Executive’s Guide to Effective AI is designed to help data, analytics, and AI leaders successfully implement and scale AI initiatives across their organizations. 🚀📊 Based on in-depth interviews with data executives from Siemens Energy, ServiceNow, State Street, and more, this guide provides a comprehensive roadmap to transform your organization with AI. Download now and start your AI transformation!
The Data Executive's Guide to Effective AI
snowflake.com
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Did someone say AI for Marketing? Learn the different ways marketing teams use the Snowflake platform to enhance data analytics and to measure ROI accurately. What do you need? ❄️ Snowpark for data transformation ❄️ Snowpark ML for model training ❄️ Streamlit for interactive data apps What are the use-cases? ⚡ Measuring Ad campaign effectiveness: https://okt.to/xtLVCS ⚡Optimizing Marketing spend: https://okt.to/Sdh1Gt ⚡Customer Lead scoring: https://okt.to/EnBqxr ⚡ Advanced personalization: https://okt.to/C26zSs ⚡ Consented data management: https://okt.to/cinAUB
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What is the optimal balance between model size, embedding vector size, and retrieval quality for maximizing ROI in enterprise retrieval and search applications? The Snowflake AI Research team dives into tips and tricks for building an embedding model that packs nearly 8 million embedding vectors per GB of storage, enabling up to a 24x improvement in retrieval system scalability while still delivering uncompromising retrieval quality. Learn more about Snowflake Arctic Embed M v1.5, the world’s most pragmatic text embedding model for English-language search that gives the most bang for the buck.
Snowflake Arctic Embed M V1.5 for Enterprise Retrieval
snowflake.com
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Join experts from kipi.bi and Snowflake in our upcoming webinar on healthcare data interoperability. We'll address the major challenges of seamless data exchange, including technical barriers, privacy concerns, and varying standards. In this session, you will: - Learn about key obstacles to effective data interoperability. - Discover how AI and FHIR standards are improving data exchange. - Watch a live demo showcasing real-world solutions for better data accuracy and care coordination. Don't miss out on this opportunity for valuable insights and practical solutions. Register now!
Overcoming Interoperability Challenges with kipi.bi and Snowflake
snowflake.com