Draft Agenda
DAY ONE - 28th May 2026
08:15 - 08:55
REGISTRATION AND NETWORKING
09:00 - 09:10
Chair’s Welcome and Opening Remarks
THINK TANKS
We kick off the summit with our NEW ‘Think Tanks,’ delivered over three separate 25-minute sessions. The sessions consist of 10 tables of 8-10 attendees, including sponsors and industry leaders.
The 10 tables will be labelled with a specific industry challenge. Pre-event, all guests will choose 3 out of the 10 challenges that are most interesting and relevant to them. During each session, the group of like-minded attendees will work together to find a solution and potential business impact.
09:15 - 09:40
Think Tank Challenge 1
Working Think Tank Topics:
- Digital Skills and Talent Gap
- Predictive Maintenance
- Connectivity between operators and assets
- Data Visualisation & Optimisation
- Human-Machine Teaming
- AI/Autonomous Systems
- Cybersecurity Risk & Threat Detection
- Data Management, Quality & Privacy
- Legacy Infrastructure and Integration
- AI & Advanced Analytics
- Robotics & Automation in Energy Assets
- Digital Twins & Internet of Things (IoT) Implementation
- Digital Vulnerabilities in Grids & Networks
- Critical Path from Pilot to Energy Asset
09:45 - 10:10
Think Tank Challenge 2
Think Tanks Challange topics repeated as above.
10:15 - 10:40
Think Tank Challenge 3
Think Tanks Challange topics repeated as above.
10:45 - 11:10
NETWORKING AND REFRESHMENTS
11:15 – 11:40
OPENING KEYNOTE
AI enabled Data Innovation in the European Energy Sector
- Integrating legacy networks and systems with evolving technology
- Innovation challenges in traditional and renewable data management integration across infrastructure
- How can GenAI create value through data modelling in upstream / midstream / downstream energy delivery?
Meeting session 1
11:45 – 12:10
INNOVATOR PANEL DISCUSSION
What can AI & analytics show us through integrating data management to create efficiencies in energy operations?
- How can AI and analytics increase the effectiveness, consistency, and reliability of data products for improved decision making and accuracy in reporting and analysis?
- How are European energy operators harnessing connectivity and data analytics to increase efficiencies in energy delivery?
- What opportunities are offered by cloud data management to drive ESG and Sustainability in existing energy infrastructure?
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Prashant Soni, CEO, VISCO
Meeting session 2
12:15 – 12:45
KEYNOTE
The digital integration journey of energy operators – connectivity, AI & data convergence in the energy transition
- How legacy systems can communicate with innovative data management and cybersecurity technology to maintain infrastructure security
- Using data models to anticipate energy demand from gas, LNG, wind and solar operations
Sateesh Vidhyanadhan,Head of Digital Transformation and Technology, BP
Meeting session 3
12:50 - 13:50
NETWORKING LUNCH
13:55 – 14:20
CASE STUDY
Harnessing Industrial AI and data management to reduce power outages, emissions and grid inefficiency
- AI applications in next-gen energy infrastructure
- How is machine learning optimising emissions reduction in gas-fired powergen and LNG transportation?
- What data strategy implementation and learnings have been achieved at (power station / LNG regasification terminal / substation)?
Meeting session 4
14:25 - 14:50
CASE STUDY
Predictive maintenance and analytics for key assets and critical infrastructure
- How do energy providers derisk their infrastructure operations through data governance to avoid ESG-related litigation?
- What steps do CTOs need to take in applying vigorous ESG data governance to mitigate compromised data quality, which can result in breaches and inaccurate sustainability reports?
- What data approaches can be taken to quantify and reduce emissions?
Gerard Roca Nogués, IT Business Partner, Audax Renovables
Meeting session 5
14:55 - 15:30
DATA EVOLUTION PANEL
The critical role of AI & data in smart grids to optimise energy delivery and enhance cybersecurity
- How will real-time information evolve process improvements and assessments for predictive maintenance in smart grids?
- How are energy efficiency analytics providing greater visibility into critical data metrics?
- What are the risks to key energy infrastructure posed by weaknesses in IoT / cloud cybersecurity?
Meeting session 6
15:35 – 16:00
NETWORKING AND REFRESHMENTS
16:05 – 16:30
KEYNOTE
Channelling AI with demand planning data insights to optimise existing infrastructure and plan for future energy delivery
- How can energy data leaders harness consumer insights generated through data analytics to evolve their energy transportation performance?
- How are innovative data systems cutting capex on new energy projects and mitigating energy supply disruptions?
Simon Watson, Head of Commercial Development, National Grid
Meeting session 7
16:35 - 17:00
INTERACTIVE CONVERGENCE DISCUSSION
Transformative Data Platforms: Navigating AI innovation with legacy systems to scaling a modern energy delivery ecosystem
An innovative panel format where each member will be given a 3-minute opening statement on the topic followed by initial discussion questions from the Host who will then turn the floor over to the audience for interaction with Q&A, discussion points and shared implementation experiences.
- What are the best approaches to integrating AI architecture across enterprise and energy infrastructure functions?
- How do leading energy companies connect and scale edge, cloud, and AI platforms whilst mitigating operational disruption and system efficiency?
- Which collaborative approaches can optimise value between end-users and data solution partners when implementing Industry 4.0 systems?
- How do Europe’s energy providers use predictive analytics, optimize and automate production processes, and reduce cost and waste?
17:00 - 17:10
CHAIR'S SUMMARY & CLOSING REMARKS
17:15
NETWORKING DRINKS RECEPTION
DAY TWO – 29th May 2026
08:00 - 08:55
REFRESHMENTS AND NETWORKING
09:00 - 09:10
CHAIR'S WELCOME & OPENING REMARKS
09:15 – 10:00
HOSTED ROUNDTABLES
Small group discussions tackling your most pressing challenges.
Working Roundtables Topics
- Digital Skills and Talent Gap
- Change Management and Leadership
- Data Visualisation & Optimisation
- Human-Machine Teaming
- AI/Autonomous Systems
- Cybersecurity Risk & Threat Detection
- Data Management, Quality & Privacy
- Legacy Infrastructure and Integration
- AI & Advanced Analytics
- Robotics & Automation in Energy Assets
- Digital Twins & Internet of Things (IoT) Implementation
- Digital Vulnerabilities in Grids & Networks
- Energy-Efficient Technologies & Decarbonisation
- Critical Path from Pilot to Energy Asset
10:05 – 10:30
DIGITAL C-SUITE FIRESIDE CHAT
What will be the impact of data optimisation and AI on Energy Transition by 2030?
Meeting session 8
10:35 – 11:00
NETWORKING & REFRESHMENTS
11:05 – 11:30
CASE STUDY
Data Innovation and Europe’s latest tech-powered energy project
- The AI-EFFECT project is proposed to develop and validate multiple use cases of AI in the energy sector, including multi-energy systems, congestion management, energy efficiency and DER integration.
- A key aim also is to establish a European AI test and experimentation facility, virtually connecting existing European computer and lab facilities through a digital platform.
- The project brings together 19 European organisations spanning research institutions, energy operators, and academia:
Meeting session 9
11:35 – 12:20
STAKEHOLDER PANEL DISCUSSION
What We Have Learnt So Far: Data Management, Optimized Analytics and Digital Transformation in Energy, Utilities & PowerGen
- Modernizing your data management systems to leverage advanced analytics, improve real-time decision-making, and enhance operational efficiency.
- Using digital transformation to create agility across your data architecture, incorporating a unified data hub and cloud operating model.
- Unlock value from your data management channelled towards improvements in predictive maintenance of your critical energy assets.
- Realize efficiencies in your energy supply chain which drive down energy attrition and emissions through data analytics.
Meeting session 10