📣 #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
Développement de logiciels
Snowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.
À propos
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.
- Site web
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http://www.snowflake.com
Lien externe pour Snowflake
- Secteur
- Développement de logiciels
- Taille de l’entreprise
- 5 001-10 000 employés
- Siège social
- The Cloud
- Type
- Société cotée en bourse
- Fondée en
- 2012
- Domaines
- Data Warehousing, Cloud, Analytics, Data Lake, Marketing Analytics, Data Applications, Data Engineering, Data Science et Data Exchange
Lieux
Employés chez Snowflake
Nouvelles
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Looking to optimize your Snowflake deployment? Watch Best Practices sessions from this year’s #SnowflakeSummit. You’ll learn tips and tricks from Snowflake customers such as Instacart, Capital One, and Vimeo, and view live demos of what’s new in the AI Data Cloud. https://okt.to/TZFKJz
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Did someone say Snowflake ML functions? The out-of-the-box SQL functions that perform predictive analytics using machine learning under the hood. Potential use-cases ⚡Sales forecasting using time-series FORECAST() function ⚡ Identify outliers, and monitor data pipelines using ANOMALY_DETECTION() ⚡ Contribution explorer to identify drivers of change using TOP_INSIGHTS() ⚡ Predict customer churn using CLASSIFICATION() The best part: Building an ML model is just a 2-step process. 1️⃣ CREATE forecast object to build model 2️⃣ CALL forecast to run inference How to get started: ✅ Restaurant sales forecasting and anomaly detection: https://okt.to/7zmKAf ✅ Building ML models with Hex and Snowflake: https://okt.to/1C7XNv
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How can modern data and AI capabilities transform your media supply chain? Accurate, timely data empowers businesses to make informed decisions faster, optimize processes, and stay resilient amidst changing conditions. By integrating AI and advanced technologies, companies can adapt and scale more efficiently, saving valuable time and resources. Media supply chains are the lifeblood of the advertising, media, and entertainment industries, and simplifying them is crucial.
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What qualities should one expect from a language model, especially in enterprise settings? The Snowflake AI Research team takes a deep dive into both enterprise and non-enterprise metrics. Learn about different LLM evaluation standards, as well as how they should be prioritized to produce a strong enterprise-grade model like #SnowflakeArctic. https://okt.to/7xcdlf
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Learn how to build a Snowflake Native App in any programming language and deploy on top of configurable GPU and CPU instances. Join our live demo and learn to: * Deploy a custom frontend in react.js on Snowflake with Snowpark Container Services * Build full stack app with the custom frontend and Python Flask * Deploy the full stack app as a Snowflake Native App
LIVE DEMO: Build a Snowflake Native App with Snowpark Container Services
snowflake.com
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From pricing to underwriting, claims management to contact center optimization, leaders in the insurance industry can support critical workflows better with data and AI. Learn how insurance companies can leverage these technologies together to deliver better products and elevate customer experiences.
16 Ways Insurance Companies Can Use Data and AI
snowflake.com
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Join Jay Limburn, Chief Product Officer at Ataccama, as he discusses how Atacama One, their AI-powered data management platform, is transforming the way businesses manage and utilize their data. From data quality and governance to master data management, Atacama One integrates seamlessly with Snowflake’s AI Data Cloud to deliver superior data quality and governance. Learn how T-Mobile identified over $350 million in cost savings using Atacama One, and how the Snowflake and Atacama partnership supports data modernization and AI initiatives. Watch the full video to dive deeper:
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🛠️ Learn how to build AI assistants and chatbots on enterprise data with Snowflake Cortex AI. 📆: July 30 ⏰: 10:00am PT Join this webinar led by AI experts at Bayer, Medtronic, Sigma Computing, and Snowflake to learn how to: 1️⃣ Enable any user to query Snowflake tables in natural language using Cortex Analyst 2️⃣ Turn document repositories into conversational knowledge bases via Cortex Search 3️⃣ Develop and deploy LLMs customized with your data via secure fine-tuning Register: https://okt.to/8t2Exi
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Action
SNOW
NYSE
20 minutes de retard
138,18 $US
0,68 (0,495%)
- En cours
- 139
- Faible
- 136,344
- Élevé
- 142,1
Données de Refinitiv
Voir plus d’infos surFinancement
Dernier round
Capital après introduction en Bourse621 456 438,00 $US