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Data cloud company Snowflake has launched the Manufacturing Data Cloud, enabling companies in the automotive, technology, energy and industrial sectors to unlock the value of their critical siled industrial data.
This is done by leveraging Snowflake’s data platform, solutions from Snowflake and partners, and industry-specific datasets. The Manufacturing Data Cloud enables manufacturers to collaborate with partners, suppliers and customers in a secure and scalable manner, increasing agility and visibility across the value chain.
With Snowflake’s Manufacturing Data Cloud, organizations can build a data foundation for their business, improve supply chain performance, and drive smart manufacturing initiatives in today’s digital industrial world.
competitive landscape
Manufacturers face an increasingly complex and competitive environment where supply chain performance and factory efficiency are critical to success. Vulnerabilities in the supply chain have been exposed, and digitization remains a huge opportunity to drive visibility in the supply chain and on the factory floor.
As manufacturers seek to address these issues, their modernization and resilience efforts require data and are open to Industry 4.0 initiatives, where data is collected from sensor networks and smart machines and filtered through artificial intelligence (AI) and machine learning (ML). Traditionally, these data sets comprising operational technology (OT) and information technology (IT) data have been siled and difficult to access and integrate.
challenge
The Snowflake Manufacturing Data Cloud enables manufacturers to address these industry challenges by:
● Establish a data foundation: Snowflake Manufacturing Data Cloud provides a fully managed security platform for multi-cloud data integration, with unified governance and elastic performance, and supports storage, computing and users of almost any scale. It allows manufacturers to break down data silos by ingesting IT and OT data and analyzing it alongside third-party partner data.
● Improve supply chain performance: Enable seamless data sharing and collaboration with partners to achieve downstream and upstream visibility across the entire supply chain across the organization, combining its own data with data from third-party partners and data from Snowflake Marketplace Combine. By combining this data with SQL and Snowpark, Snowflake’s developer framework for Python, Java, and Scala, diverse teams can collaborate on the same data and confidently build AI and ML models to predict needs and support critical use cases , such as supply chain control towers and spend analysis.
Powering Smart Manufacturing: Snowflake’s native support for semi-structured, structured and unstructured high-volume Internet of Things (IoT) data enables manufacturers to maintain remote operations by streamlining operations within and across manufacturing plants, It also uses shop floor data to predict maintenance needs in near real time, analyze cycle times, improve product yield and quality, and meet sustainability goals.
● Leverage an industry-leading manufacturing partner network: Leverage a rich partner ecosystem and industry-specific pre-built templates to drive innovation, reduce time-to-value, and build more valuable solutions.
data key
“As manufacturers adopt smart manufacturing initiatives and guide their companies into an increasingly digital industrial world, data has never been more important,” said Tim Long, Snowflake’s global director of manufacturing. “The Snowflake Manufacturing Data Cloud and our partner ecosystem enable manufacturers and their suppliers to access the data, applications and services needed to effectively manage the end-to-end supply chain, creating new shop floor efficiencies and providing customers with better products and services. Their customers.”
Manufacturing Data Cloud Partner Solutions
In the manufacturing data cloud, Snowflake’s ecosystem of manufacturing partners includes:
● Applications powered by Snowflake, including those developed by Blue Yonder, Elementum, and Avetta, enable manufacturers to manage their supply chains through control towers, data-driven workflows, and measure third-party contractors and suppliers risks of.
● Snowflake Marketplace partners, including FourKites, Yes Energy and data provider S&P Global, leverage Snowflake’s privacy-preserving collaboration technology to provide real-time access to various data sources for ESG analysis, supply chain disruption and market forecasting.
● Consulting and services organizations, including Deloitte, EY, LTIMindtree and phData, providing pre-built solutions for the highest priority use cases, including integrated yield analysis, shop floor visibility, energy management and supply chain visibility.
●Technology leaders including Amazon Web Services (AWS), Fivetran and Tableau provide integrated and out-of-the-box solutions that allow customers to gain deeper insights and take full advantage of the power and ease of use of the Manufacturing Data Cloud sex.
scania
Some of the largest global manufacturing organizations are already using Snowflake manufacturing data clouds. One of these, Scania, a manufacturer of trucks, buses and industrial engines, uses Snowflake to continuously stream data from 600,000 connected vehicles and prepares the data for machine learning using Snowpark for Python, which gives the company a comprehensive view of its vehicles Performance and support Scania’s product-related services.
“Snowflake’s Manufacturing Data Cloud provided the data foundation we needed to gain insights from the 150 million streaming messages we received from our fleet of 600,000 vehicles,” said Peter Alåsen, Head of Product at Scania.
“With Snowflake, we are able to recommend maintenance based on vehicle operation and workshop availability, reducing downtime for customers while also increasing revenue-generating activities around servicing and other digital or physical services.” — trade arab news agency
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