Here you can find the KOGNITWIN Energy Support & Service Level Agreement.
For further information please contact us at mailbox-trust.
This KOGNITWIN Energy Support & Service Level Agreement (“SLA”) is applicable to Customers of Kongsberg Digital AS (“KDI”) who have a valid Subscription Agreement, governed by the KOGNITWIN Energy Terms of Use (“Terms of Use”), for access to KDI’s KOGNITWIN Energy Service Platform.
KDI will provide maintenance and support as described herein, to maintain the KOGNITWIN Energy Service Platform (hereinafter referred to as the “Service”) in good working order.
Capitalized terms shall have the meanings set forth in the Terms of Use, or in the section where they are first used herein.
Customer shall notify KDI of any defect in the Service by utilizing the Support Portal, accessible via https://dev.azure.com/kognitwinsupport, or by using the following email address: kognitwin@kdi.kongsberg.com
See how Kongsberg Digital’s deep domain expertise helps industrial organisations achieve more.
A Global Outlook panel at Kongsberg Digital’s Tomorrow Show – Houston, featuring experts like Hema Prapoo from Microsoft, Richard Spears from Spears and Associates, Judson Jacobs from S&P Global, and Pedro Alcântara Nunes Neto from Kongsberg Digital, delved into the transformative role of AI across industries, particularly in energy.
Hema Prapoo emphasised that AI, including tools like Microsoft’s copilot and ChatGPT, is not designed to replace humans but to enhance their capabilities. The focus is on empowering the workforce to concentrate on essential tasks rather than mundane ones, maintaining a human touch at the core of AI applications.
Pedro Alcântara Nunes Neto discussed the critical role of government regulations in shaping the AI landscape. The EU AI Act was highlighted as a leading framework that ensures data privacy and ethical practices in AI development. He argued that regulation should not stifle innovation but instead provide a necessary structure for tech companies to operate responsibly.
Judson Jacobs raised concerns about the hype surrounding AI versus its actual impact. He shared insights on the energy sector’s adoption of AI over the past decade, which has improved operational efficiencies significantly. However, he noted the challenge lies in scaling these improvements across the industry rather than in isolated projects.
Richard Spears provided a stark statistic: the upstream oil and gas sector, spending $325 billion on operations, suffers from inefficiencies that could yield up to $32 billion in annual savings through AI. He stressed the importance of improving capital deployment by leveraging AI to gain accurate forecasts about future activities, ultimately increasing investment efficiency.
The conversation touched on Africa’s growing role in the global energy landscape, with predictions that by 2050, 25% of the world's population will live there. Hema and Richard discussed innovative approaches, such as using Africa's vast hydrocarbon resources to build local data centers, minimising reliance on expensive infrastructure like pipelines.
In response to Shane McArdle’s question about AI’s implications for national security and regulatory frameworks, Pedro pointed out that the evolving nature of warfare and cybersecurity necessitates careful management of data retention and privacy across borders, further complicating AI deployment.
A recurring theme was the necessity for collaborative digital platforms to facilitate information sharing in the energy sector. Hema pointed out that while proprietary workflows should remain intact, a common digital ecosystem is vital for improving operations and encouraging partnerships among stakeholders.
Spears highlighted that AI technology allows smaller companies to compete on a level playing field with industry giants, enhancing innovation and investment opportunities, which could lead to a more competitive and diverse marketplace.
The panel concluded with a mix of optimism and caution. While the potential for AI to revolutionise the energy sector and enhance efficiency is immense, panelists acknowledged the challenges of overcoming regulatory hurdles, ensuring cybersecurity, and fostering collaboration among diverse stakeholders. Embracing a human-centric approach and maintaining innovative thinking will be crucial as industries move toward adopting AI at scale.
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