Seeq Corp. reported Aug. 28 that it’s partnering with Databricks, a data and artificial intelligence (AI) provider. They’re natively integrating each company’s platform to simplify access to asset and process data, unify IT and OT data processing, and accelerate AI/machine learning (ML) adoption across manufacturing, pharmaceuticals, chemicals and energy sectors.
They report their bidirectional integration lets users seamlessly combine contextualized time series data (TSD) from industrial assets with enterprise data sources to deliver more robust reporting, analytics and predictions. This allows Databricks’ users to take advantage of Seeq’s connectivity to TSD sources and power analytical use cases. Meanwhile, insights developed in Databricks’ Lakehouse platform can be operationalized in Seeq, enabling users to deliver data-driven solutions to increase productivity, improve operational reliability, enhance safety, and accelerate progress towards sustainability goals.
For example, Chevron Phillips Chemical Co. reports that Seeq and Databricks partnership accelerates its ability to scale data science and ML efforts across multiple digital initiatives involving process and laboratory data.
“We’re very excited about this partnership because it will be mutually beneficial for Databricks, Seeq and their shared customers,” says Brent Railey, Chief Data & Analytics Officer of Chevron Phillips Chemical Co. “Seeq brings key time-series functionality that isn’t available elsewhere, and simplifies connecting to process data sources. Databricks provides scalable, affordable, elastic data engineering and data-science capabilities. Seeq can bring data to Databricks for complementary analytic purposes, while Databricks can serve cleansed and refined IIoT data to Seeq for self-service analytics.”
Shiv Trisal, global manufacturing industry leader at Databricks, adds, “Our collaboration with Seeq unlocks tremendous value for customers, making it simpler for organizations to operationalize and democratize IoT datasets by leveraging the open and secure foundation of our Lakehouse platform, which lowers the barrier to data-driven innovation.
Megan Buntain, VP of global partnerships and ecosystem at Seeq, adds that, "Seeq and Databricks’ integration is a critical step toward bridging the communication gap between OT an IT personnel, which will drive increased ML value across the enterprise. We’re thrilled to add Databricks to the Seeq partner ecosystem, and look forward to continuing to innovate with their team to improve outcomes for manufacturers.”
