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DataOps: Fast tracking data insights for use case scale

Availability, access, quality, and context determine if data helps or hurts your insight-driven business. Developers struggle with these requirements as they push forward with sophisticated edge ecosystems. To get ahead, enterprises need DataOps to quickly get a handle on all business and IoT data, and match the CI/CD speed to deliver the insights stakeholders need.

In this session, Cognite and Forrester will unpack:

  • What is DataOps? What does DataOps do for the heavy asset industry?
  • How does DataOps get to the next level of edge intelligence?
  • How do DataOps technologies help design, develop, and optimize data for business outcomes?
  • How do you get started with DataOps?




Michele-Goetz 1x1


VP, Principal Analyst

Michele Goetz serves enterprise architects, chief data officers, and business analysts trying to navigate the complexities of data while running an insight-driven business. Her research covers artificial intelligence technologies and consultancies, semantic technology, data management strategy, data governance, and data integration.

Kiran Dhillon

Kiran Dhillon

Senior Director of Product Marketing

Kiran’s career spans digital strategy across consumer technologies to enterprise SaaS. At Cognite, Kiran leads product definition and strategic vision for Cognite's products and solution set. Prior to Cognite, Kiran led product strategy and digital marketing at Ogilvy & Mather, Young & Rubicam, Opera Software, and Cxense. 

Gabe Prado

Gabe Prado

Director of Product Marketing - Power & Utilities

At Cognite, Gabe Prado aims to help customers understand the challenges with their data infrastructure and identify how it can best be applied to solve problems across the Power & Utilities value chain. He has previously worked in the industrial test and measurement, and ML and advanced analytics industries.