Databricks Lakehouse for Manufacturing Enhances Data Ecosystem Value for Disparate Environments

Databricks, the lakehouse company, is announcing the Databricks Lakehouse for Manufacturing, the first open, enterprise scale lakehouse platform—designed with the manufacturer in mind—to lower costs, boost productivity, and unify data ecosystems, as well as AI.

The solution targets the disparate state of tools, systems, and architectures plaguing manufacturing environments, intending to centralize these operations for enhanced accessibility to, and insights drawn from, data.

As opposed to traditional data warehouses, the Databricks Lakehouse for Manufacturing offers integrated AI capabilities and pre-built solutions, ultimately expediting time-to-value for both manufacturers and partners alike in a time of organizational uncertainty, according to the company.

“With rising costs, plateauing industrial productivity, and talent gaps, manufacturing companies are facing unprecedented operational challenges. At the same time, autonomy, connectivity, and electrification are shaping an entirely new approach of software-defined products that require a transformation of the business and operating model to be competitive and innovative. In the next 5 years, the companies that outperform in this industry will be the ones that not only manage data but effectively operationalize the value from data, analytics, and AI at scale,” said Shiv Trisal, global industry leader for manufacturing at Databricks. “We are very excited to launch tailored accelerators that target the industry’s biggest pain points and collaborate with leading partners to introduce Lakehouse for Manufacturing, enabling data teams to boost industrial productivity, gain nth-tier supply chain visibility, and deliver smarter products and services at an accelerated pace.”

The data unification provided by the Databricks single platform allows enterprises to materialize the value of their existing investments, while also achieving AI at scale, regardless of data type, source, frequency, or workload, according to the vendor.

The solutions available within the Databricks Lakehouse for Manufacturing platform offering are as following:

  • Computer vision, a type of application that allows manufacturers to automate critical processes, ultimately increasing quality, mitigating waste, reducing rework costs, and optimizing flow
  • Digital twins, which allow engineers to monitor and model systems in real-time, processing real-world data, to drive insights to multiple downstream applications
  • Overall equipment effectiveness through a continuous approach to KPI reporting across a global manufacturing network, which incrementally ingests and processes data from sensor and IoT devices in a myriad of formats
  • Part-level forecasting performs demand forecasting, which utilizes historical data and other analytical information to build models that help predict future estimates of customer demand, at the part level rather than the aggregate level
  • Predictive maintenance that maximizes uptime and reduces maintenance costs by enabling manufacturers to ingest real-time, industrial IoT data from field devices followed by time-series processing

“Using the Lakehouse for Manufacturing, a business can utilize all data sources in their value chain so that the power of predictive AI and ML insights can be realized to identify inefficiencies in production processes, improve productivity, enhance quality control, and reduce supply chain costs,” said Anthony Abbattista, principal and smart factory analytics offering leader at Deloitte Consulting LLP. “This data-driven manufacturing is where we see the industry going as companies seek to accelerate their Smart Factory transformations.”

Additionally, the Databricks Lakehouse for Manfacturing can be combined with a variety of Databricks partner solutions to amplify its power and broaden its use cases. Partner Brickbuilder Solutions and popular use cases for the Lakehouse for Manufacturing include Avanade Intelligent Manufacturing; Celebal Technologies Migrate to Databricks; DataSentics Quality Inspector; Deloitte Smart Factory; and Tredence Predictive Supply Risk Management.

To learn more about the Databricks Lakehouse for Manfacturing platform, please visit