Seeq announces partnership with Databricks to accelerate ​IT-OT data convergence 

The partnership builds on Seeq advanced analytics innovations and Databricks enterprise AI capabilities to improve data accessibility and enhance machine learning workflows

​​​Seeq Corporation has partnered with Databricks to bring a native integration between each company’s platform to​ simplify access to asset and process data, unify IT and OT data processing and accelerate AI/ML adoption across the industrial manufacturing, pharmaceuticals, chemicals and energy sectors.​​ 

​​​This bi-directional integration enables users to seamlessly combine contextualised time series data from industrial assets with an array of enterprise data sources to deliver robust reporting, analytics and predictions in their business. Databricks customers can use Seeq’s connectivity to time series data sources and power a wide 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 data-driven solutions to increase industrial productivity, improve operational reliability, enhance safety, and accelerate progress towards sustainability goals. ​​ 

​​​Brent Railey, chief data and analytics officer of Chevron Phillips Chemical ​​Company, ​​commented: “We are very excited about this partnership, as it will be mutually beneficial for Databricks, Seeq, and their shared customers. 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!”  
“Our collaboration with Seeq unlocks tremendous value for customers, making it simpler for organisations to operationalise and democratise IoT datasets by leveraging the open and secure foundation of the Databricks Lakehouse Platform. This significantly lowers the barrier to data-driven innovation in the industry,” added Shiv Trisal, global manufacturing industry leader at Databricks. 
“The Seeq and Databricks integration is a critical step toward bridging the communication gap between operations technology and information technology personnel, which will drive increased machine learning value across the enterprise,​​”​​ said Megan Buntain, vice-president of global partnerships and ecosystem at Seeq. “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.”​​