Delivering Operational Impact with AI for Industry

Delivering Operational Impact with AI for Industry

Modernizing operations is highly dependent on making efficient use of industrial data. The key to success is leveraging the power of Generative AI and robust DataOps. In partnership with Cognite, find the resources you need to deliver operational impact by making AI work for your industry.

Overcoming Gen AI Adoption Obstacles Across Process Industries

Process industries face many obstacles that are preventing the straightforward deployment and adoption of Gen AI. Here are some tips to overcome those obstacles. Read Now </>

Definitive Guide to Generative AI for Industry

This comprehensive guide provides a how-to for industry leaders looking to leverage generative AI to propel their organizations toward significant growth. Turn generative AI into your organization’s secret weapon. Download Now

How Gen AI is improving Aker BPs data management practices

To make data-driven decisions, industries need data they can rely on. In this webinar, learn how AkerBP is using generative AI to be on a path to becoming the world’s first data driven E&P company. Watch now

Why Is It So Hard to Trust Industrial Data? And What Can Be Done About It?

A discussion on the importance of having trust in industrial data, the challenges that have prevented past technologies from working, and how Generative AI helps. Read Now

“Googling” Your Industrial Data: Fixing Search for SMEs

Industrial DataOps practices and software are simplifying the processes by which industrial data can be managed and served to subject matter experts so that they can be more effective and productive. Read More

Where and How Should GenAI Be Used for Industry?

To scale GenAI use up, industrial organizations will need to make deployments easy to use and integrate the technology into normal workflows. Read More

Want to learn more? Visit Cognite.com

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Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

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