Overview

Asset-heavy industry continues to struggle to deliver value from digital transformation efforts. While AI is maturing rapidly and offers more value potential than ever, taking advantage requires operators to solve these fundamental data challenges first:

1. Industrial data is complex and often lacks context, making it very inefficient to use
2. Generative AI remains tricky to trust and deploy on industrial data sets
3. Scaling digital use cases in production environments remains elusive and resource intensive

In this webinar, learn how Cognite's Industrial DataOps offering enables digital and operations teams to overcome these challenges with a comprehensive suite of data management and generative AI capabilities designed to improve the operational data experience for domain experts, analysts, data scientists, and more. Learn how Cognite software puts AI at the core of data integration, modeling, and contextualization, so that human operators can deploy digital twins, advanced dashboards, AI co-pilots, and data-driven decision-making at scale.

Speaker

Alex Joseph, Commercial Energy Director, Cognite

Alex is Customer Acquisition Director, predominantly working within the Oil & Gas and Academic industry with 15 work experience. He is experienced in client engagement activities and managing international projects within the Europe, Middle-East & Africa region. He is a strong business professional with a driven determination for career success, with a Master of Business Administration (MBA) degree from Robert Gordon University. Business skills are also accompanied with a solid IT background, attaining a BSc Computing degree from Edinburgh Napier University.

The material presented in this webinar has not been peer-reviewed. Any opinions are the presenter's own and do not necessarily represent those of IChemE or the Process Management and Control Special Interest Group. The information is given in good faith but without any liability on the part of IChemE.

Webinar recording