Learnings

Outcomes

• Delivered vision, mission and ambition for the AI Centre of Excellence. 
• Delivered an AI Use case framework and engaged with the ESO business extensively to identify over 100 AI/ML opportunities. 
• Delivered a roadmap to deliver for MVP phase and beyond. 
• Positive engagement with key stakeholders including ESO exec on development of the AI CoE 
• Delivered an academic partnership framework to assess and establish partnerships with academia. 
• Delivered an MoU and MoA framework review 
• Delivered options paper on Funding and operating models for the AI CoHackathon launched and completed on Kaggle. We had 251 entrants and 569 submissions. 
• Collated open data and curated it for public consumption and use in ML Hackathon. 
• Delivered an AI knowledge hub, with a robust design to be opened up externally when required. 
• KPIs in place and UAT sessions delivered to iterate the design 

Lessons Learnt

• Business engagement is key, having early and consistent stakeholder engagement with ESO staff has been critical to the success of the AI Centre of Excellence so far. 
• Strategic alignment has been critical to making sure the AI CoE serves the needs of the business and helps deliver on priorities. 
• Knowledge hub requires significant buy in from the business to maintain, key stakeholder engagement was required and more time could have been dedicated there. 
• Hackathon was incredibly successful, one lesson from this competition was to be firm with your goal and set expectations ahead of time and be explicit with them. We were clear with the goal of a hackathon to provide a dataset and problem for people outside of the energy industry to engage and get excited.