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Effective URL: https://www.snowflake.com/en/blog/snowflake-to-acquire-myst/
Submission: On September 05 via api from PT — Scanned from SG
Effective URL: https://www.snowflake.com/en/blog/snowflake-to-acquire-myst/
Submission: On September 05 via api from PT — Scanned from SG
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PLATFORM SOLUTIONS CUSTOMERS RESOURCES PRICING The AI Data Cloud Platform Why Snowflake Security hub Cost & Performance Optimization The AI Data Cloud explained Workloads AI/ML LLMs and ML models customized with your data Applications Easy building, distribution and scaling for applications Collaboration Sharing and monetizing data, apps and AI products across clouds Data engineering Powerful streaming and batch data pipeline building in SQL or Python Data lake Flexible architecture patterns with interoperable storage Data warehouse Faster data analytics at an optimized cost Unistore Transactional and analytical data in one place Featured Capabilities Cortex AInew Instant access to industry-leading LLMs Data Clean Rooms Privacy-preserving data collaboration Horizon Built-in compliance, security, privacy and access Marketplace Third-party data and AI products for trial and purchase Native Apps End-to-end, Snowflake-native app creation and distribution Notebooks Interactive dev environment for data and AI teams Snowpark Libraries and code execution environments that run Python and more Streamlit Framework for transforming Python scripts into web apps Arctic LLM An open, efficient LLM for enterprise AI apps Apache Polaris Manage and govern data across many engines and storage locations INDUSTRIES Advertising, media & entertainment Financial services Healthcare & life sciences Manufacturing Public sector Retail & consumer goods Technology Telecom DEPARTMENTS Finance IT Marketing Cybersecurity Enablement Solutions Migrate to the AI Data Cloud Confident migration to a unified platform Professional Services Snowflake experts to help you accelerate and achieve business goals PARTNER SOLUTIONS Snowflake Partner Network Programs with product, solutions and cloud partners Partner finder Partners, apps and solutions for enhanced deployment Event partnership opportunities Live and virtual events Connect Blog Engineering blog Community Events Support Contact us Build Developers Documentation Quickstarts Solutions center Learn Resource library Ebooks, podcasts, videos, white papers and more Training Overview of Snowflake's educational offerings Webinars Expert-led discussions and demos across industries and use cases Certifications Snowflake's technical industry professional certifications Live demos Weekly product demos showcasing key features and live Q&A Snowflake University Training courses for all levels, on-demand or instructor-led Hands-on labs Instructor-led virtual workshops for exploring key Snowflake features SNOWFLAKE WORLD TOUR Explore the latest advancements in enterprise AI and app development at one of 23 Snowflake World Tour stops THE DATA EXECUTIVE'S GUIDE TO EFFECTIVE AI Best practices from data executives to start your AI transformation journey DATA TRENDS 2024 REPORT Discover how leading enterprises are building the foundation for advanced AI in this free eBook Language LANGUAGES English Português Italiano 한국어 日本語 Español Deutsch Français contact start for free blog CATEGORY AI/MLAt SnowflakePartner & Customer ValueIndustry SolutionsProduct & TechnologyStrategy & Insights At Snowflake JAN 04, 2023 SNOWFLAKE ANNOUNCES INTENT TO ACQUIRE MYST Snowflake customers leverage the Data Cloud to bring all their data together and capitalize on the near-infinite resources of the cloud. But how can this data be used to look ahead? How can we use yesterday’s evidence to plan for tomorrow? The answer—time series forecasting. Time series forecasting is one of the most applied data science techniques in business. It is used extensively in supply chain management, inventory planning, and finance. Accurate forecasts can establish measurements to guide management, facilitate planning and goal setting, and help mitigate risk. It has practical applications across a wide-range of industries including: * In healthcare, to forecast public health outcomes such as COVID-19, assess trends and interventions for people with chronic illnesses, and forecast healthcare expenditures. * In manufacturing, to predict product demand at a geographic level to help meet shipping requirements and reduce inventory waste. * In energy, to forecast potential spikes in electricity costs based on periods of high load volumes and scarce operating conditions. Earlier this year, Snowflake announced a focus on building machine learning (ML) extensibility into the Data Cloud. In line with that, Snowflake is announcing its intent to acquire Myst, a company specializing in time series forecasting, and bring the Myst team into Snowflake in order to continue advancing our platform. Look for more details in the coming months. AUTHORS Greg Czajkowski SHARE ARTICLE RELATEDCONTENT SNOWFLAKE FOR AI AND ML Accelerate your AI/ML workflows with fast data access and elastically scalable data processing for Python and SQL. WHAT IS A DATA MARKETPLACE? A data marketplace, also known as a data exchange, is an online transactional location or store that facilitates the buying,... INSIDE THE AI DATA CLOUD | SNOWFLAKE BLOG The latest articles on AI, ML, data engineering and more. 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