Shaped by the Industry, Tailored to You
At the Digital Energy Strategies Summit, the agenda is designed around the real challenges facing senior digital energy leaders today. With the rapid rise of Data and AI in the energy sector, leaders are navigating complex questions of implementation, scaling, and ROI across multi-site operations.
That’s why our content is shaped in two ways: by the Advisory Committee of senior energy technologists, and by the insights you share during registration. When you register, you’ll outline your current priorities and goals, allowing us to create a personal agenda that ensures every workshop, think tank, and private meeting you attend is directly relevant to your role.
This approach means the themes and sessions go beyond theory. They reflect the practical realities of scaling transformation, aligning global strategies, and delivering value at pace — ensuring you connect with peers facing the same issues and walk away with strategies you can apply immediately.
The result?
An experience built to help you accelerate digital transformation across your organisation.
Headline Themes
The Advisory Committee for the Digital Energy Transition Summit have selected five Headline Themes that will be addressed in detail.
Data & AI Transformation in Energy
Explore how the convergence of data and AI is reshaping European energy markets, influencing capital expenditure decisions, and redefining operational models. This theme examines the role of advanced analytics in optimising generation, transmission, and distribution, while also addressing how digital strategies can unlock new value across the energy value chain. Attendees will gain insights into aligning enterprise-wide data strategies with regulatory requirements, market pressures, and sustainability goals.
- Leveraging AI to inform CapEx and investment strategies
- Driving efficiencies across upstream, midstream, and downstream operations
- Enabling data-driven decision-making at scale
- Aligning with regulatory and sustainability imperatives
Cybersecurity & Critical National Infrastructure (CNI)
Discover how generative AI is being applied to enhance asset performance, optimise infrastructure operations, and accelerate innovation. This theme explores how organisations can navigate the decision between open-source and proprietary models while ensuring scalability, security, and trust. Delegates will discuss real-world use cases, from automated reporting and enhanced forecasting to digital twins and AI-enabled simulations that support strategic decision-making.
- Evaluating Gen AI for operational and infrastructure insights
- Balancing cost, performance, and control in open-source vs proprietary models
- Accelerating decision-making with AI-enabled forecasting and simulations
- Driving innovation across design, planning, and operational processes
- Ensuring security, governance, and ethical considerations in Gen AI
Leveraging Gen AI
Discover how generative AI is being applied to enhance asset performance, optimise infrastructure operations, and accelerate innovation. This theme explores how organisations can navigate the decision between open-source and proprietary models while ensuring scalability, security, and trust. Delegates will discuss real-world use cases, from automated reporting and enhanced forecasting to digital twins and AI-enabled simulations that support strategic decision-making.
- Evaluating Gen AI for operational and infrastructure insights
- Balancing cost, performance, and control in open-source vs proprietary models
- Accelerating decision-making with AI-enabled forecasting and simulations
- Driving innovation across design, planning, and operational processes
- Ensuring security, governance, and ethical considerations in Gen AI
Scaling Data & AI Projects
Understand how energy companies can move beyond pilots to enterprise-scale implementation of data and AI initiatives. This theme examines best practices for aligning data infrastructure, governance, and culture to support AI adoption across critical assets. Leaders will share lessons on building scalable frameworks, ensuring cross-business integration, and capturing measurable ROI from digital programmes.
- Overcoming the “pilot purgatory” challenge in AI adoption
- Building robust data foundations to support scaling
- Creating alignment between IT, OT, and business functions
- Capturing ROI through measurable impact on operations
- Embedding data-driven culture across large, complex organisations
AI & Predictive Maintenance
Learn how predictive maintenance powered by AI is transforming asset management and operational reliability. This theme focuses on how energy companies can minimise unplanned downtime, optimise equipment performance, and extend asset lifecycles. With case studies spanning renewables, transmission networks, and traditional energy assets, the discussion highlights the potential for significant reductions in operational expenditure and carbon emissions.
- Harnessing AI to forecast equipment failures before they occur
- Minimising maintenance shut-downs and improving uptime
- Reducing inefficiencies in energy-intensive processes
- Cutting carbon emissions through optimised asset performance
- Improving safety and reliability across critical infrastructure
Ready to Join the Conversation?
Whether you’re looking to attend, speak, partner or just explore further, we’d love to hear from you.
Spaces are limited, apply today.