Wood has recently partnered with Databricks to help energy companies transition artificial intelligence from pilot projects to industrial-scale use throughout the asset lifecycle. This collaboration was announced on November 3 in Abu Dhabi and focuses on integrating Databricks' data and AI platform with Wood's engineering, operational, and asset expertise.
Shared Experience and Previous Successes
This partnership is based on several years of collaboration with mutual clients. This work includes an AI-based engineering solution that, according to Wood, has reduced the time required to review critical path documentation and quality assurance by 75%. The two companies stated that this solution has accelerated project delivery while maintaining engineering oversight.
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Statements from Company Officials
David Cole, CEO of Consulting at Wood, said: "Technology alone does not deliver results. The real value comes from combining advanced AI capabilities with deep engineering and operational expertise." He added: "This collaboration will help clients move beyond AI experimentation and implement practical, scalable solutions."
Mustafa Ashraf, Country Manager for the UAE at Databricks, also stated that many AI projects in the energy sector stall due to a lack of engineering and operational context related to real assets. He added: "Wood has deep expertise in how to design, build, operate, and maintain complex industrial assets, and the Databricks data and AI platform turns this knowledge into a structured foundation for scalability."
Future Outlook
This collaboration will help clients move AI out of the experimental phase and into everyday tasks that lead to safer, more productive, and more profitable operations. Given the challenges facing the energy industry and the need for improved efficiency, such collaborations can contribute to sustainable development and process optimization.
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