Seeq and Databricks integrate platforms 12 September 2023

Seeq Corporation and Databricks are integrating their platforms to accelerate artificial intelligence (AI) and machine learning adoption across the industrial manufacturing, pharmaceuticals, chemicals and energy sectors.

Integrating both platforms is also expected to simplify access to high quality asset and process data and unify IT and OT data processing.

This bi-directional integration is said to enable users to combine contextualised time series data from industrial assets with an array of enterprise data sources to deliver more robust reporting, analytics and predictions in their business. Databricks customers can now utilise Seeq’s connectivity to time series data sources and power a range of analytical use cases across the enterprise. Insights developed in Databricks Lakehouse Platform can be operationalised in Seeq, introducing new opportunities for process experts and data teams to deliver solutions to increase industrial productivity, improve operational reliability, enhance safety, and accelerate progress towards sustainability goals.

For petrochemical manufacturer Chevron Phillips Chemical Company, the Seeq and Databricks integration accelerated its ability to scale data science and machine learning efforts across digital initiatives involving process and laboratory data.

Brent Railey, chief data & analytics officer of Chevron Phillips Chemical Company, said: “Seeq brings key time-series functionality that just isn’t available in other solutions. Seeq also simplifies the complexities of connecting to various types of process data sources. Databricks brings scalable, elastic data engineering and data science capabilities at an affordable price. Seeq can bring data to Databricks for complementary analytic purposes within Databricks. Databricks can serve cleansed and refined IIoT data to Seeq for self-service analytics. This partnership should make this one-two punch even more powerful!”

Operations Engineer

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