How can energy companies reduce their emissions in the upstream operations and what role does digital play in it? This was the theme of the joint session between Cognizant, Aker BP and Wintershall DEA during the industrial digitalization conference Ignite.
How can AI and other technologies be used to execute complex projects in an effective manner in the energy sector? During the industrial digitalization conference Ignite, I discussed the potential of AI and machine learning to automate and improve maintenance together with experts from Aize.
To deliver a mature digital customer experience, energy and utility companies need a strategic roadmap and strong platform that keeps customers loyal and engaged. Here’s how to get started.
SAP customers have been given a deadline of 2027 to migrate to SAP S/4HANA. While it’s not a must (you have the option of extended support until 2030), companies should seriously consider what advantages a migration brings in terms of future-proofing the business.
The utility industry is rapidly evolving. Increased competition and complexity, changed customer demands and stronger expectations on renewable energy options are challenging companies. Can the Nordic utility sector use AI, data and analytics to gain a deeper understanding of customer needs, improve demand planning, and enable a smarter infrastructure?
Monitoring and maintenance of components in spread-out electric distribution networks, is a cumbersome and expensive task for utilities. A self-service AI driven applications helps this company analyze drone-captured images, a solution that saves both time and money.
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Cognizant has helped some of the world’s leading energy and utility companies to transform. Among them are 5 of the top 10 utilities in North America, 5 of the top 10 electric utilities in Europe and 4 of the top 6 oil and gas super majors.
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