Databricks launches Lakehouse Platform to help manufacturers harness data and AI
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Databricks, a company specializing in data lakehouse technology, on Tuesday announced a new platform designed for the manufacturing industry. Called Lakehouse for manufacturing, the platform aims to unify data and artificial intelligence (AI) for various analytics use cases such as predictive maintenance, quality control and supply chain optimization. supply.
The platform is built on Databricks' Data Lakehouse core platform, which leverages Delta Lake, Apache Spark, and MLFlow, open source projects that enable scalable data processing and learning workflows automatic (ML). The platform also integrates with Model Serving, a service Databricks launched last month to simplify the deployment and management of ML models in production.
“The massive amount of data is a huge challenge for the manufacturing industry as more companies deploy sensors to connect workers, buildings, vehicles and factories,” said Shiv Trisal, global manufacturing leader at Databricks, in an interview with VentureBeat.
"Furthermore," he added, "this data is growing exponentially, with an estimated growth rate of 200-500% over the next five years. The Lakehouse architecture enables enterprises to leverage leveraged all their data in one place to run AI at scale while reducing total cost of ownership (TCO), which is a top priority for all IT managers today."
EventTransform 2023
Join us in San Francisco on July 11-12, where senior executives will discuss how they've integrated and optimized AI investments for success and avoided common pitfalls.
Register nowThe Lakehouse platform for manufacturing is available today for customers around the world. Databricks said it has already been adopted by several major manufacturers, such as DuPont, Honeywell, Rolls-Royce and Shell.
Boost industrial analytics with tailored solutionsLakehouse for Manufacturing offers built-in AI capabilities and prebuilt solutions that aim to accelerate value creation for manufacturers and their partners, according to Databricks. It also includes use case accelerators that provide guidance and best practices for addressing common, high-value industry challenges such as predictive maintenance, digital twins, supply chain optimization , demand forecasting and real-time IoT analytics.
By unifying all data types, sources, frequencies and workloads on a single platform, Databricks said it enables organizations to fully leverage their existing investments and achieve AI at large scale. The platform also enables secure data sharing and collaboration across the manufacturing ecosystem, enabling real-time insights for agile operations.
"With the ability to handle all types of data...
Join senior executives in San Francisco on July 11-12 to learn how leaders are integrating and optimizing AI investments for success. Find out more
Databricks, a company specializing in data lakehouse technology, on Tuesday announced a new platform designed for the manufacturing industry. Called Lakehouse for manufacturing, the platform aims to unify data and artificial intelligence (AI) for various analytics use cases such as predictive maintenance, quality control and supply chain optimization. supply.
The platform is built on Databricks' Data Lakehouse core platform, which leverages Delta Lake, Apache Spark, and MLFlow, open source projects that enable scalable data processing and learning workflows automatic (ML). The platform also integrates with Model Serving, a service Databricks launched last month to simplify the deployment and management of ML models in production.
“The massive amount of data is a huge challenge for the manufacturing industry as more companies deploy sensors to connect workers, buildings, vehicles and factories,” said Shiv Trisal, global manufacturing leader at Databricks, in an interview with VentureBeat.
"Furthermore," he added, "this data is growing exponentially, with an estimated growth rate of 200-500% over the next five years. The Lakehouse architecture enables enterprises to leverage leveraged all their data in one place to run AI at scale while reducing total cost of ownership (TCO), which is a top priority for all IT managers today."
EventTransform 2023
Join us in San Francisco on July 11-12, where senior executives will discuss how they've integrated and optimized AI investments for success and avoided common pitfalls.
Register nowThe Lakehouse platform for manufacturing is available today for customers around the world. Databricks said it has already been adopted by several major manufacturers, such as DuPont, Honeywell, Rolls-Royce and Shell.
Boost industrial analytics with tailored solutionsLakehouse for Manufacturing offers built-in AI capabilities and prebuilt solutions that aim to accelerate value creation for manufacturers and their partners, according to Databricks. It also includes use case accelerators that provide guidance and best practices for addressing common, high-value industry challenges such as predictive maintenance, digital twins, supply chain optimization , demand forecasting and real-time IoT analytics.
By unifying all data types, sources, frequencies and workloads on a single platform, Databricks said it enables organizations to fully leverage their existing investments and achieve AI at large scale. The platform also enables secure data sharing and collaboration across the manufacturing ecosystem, enabling real-time insights for agile operations.
"With the ability to handle all types of data...
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