Hypercube at Big Data LDN 2025: AI, energy, and the future of data systems

⸻ Beyond Energy

At Big Data LDN 2025, Hypercube showcased how AI and MLOps are transforming data and energy systems for a sustainable future.

Adam Sroka on how AI is transforming data and energy.

Big Data LDN is the UK’s leading Data, Analytics & AI conference and exhibition – a flagship event that brings together the entire data community. Hosting 300+ expert speakers and 180+ global exhibitors, it attracts over 15,500 attendees, making it the largest gathering of data professionals in the UK.

Bringing together Chief Data Officers, Heads of Data, Scientists, Engineers, and Architects, Big Data LDN is where leaders in the industry come together to share insights, explore emerging technologies, and shape the future of data-driven enterprise.

This year, Dr. Adam Sroka, CEO of Hypercube, took to the stage as a keynote speaker and thought leader, representing Hypercube across two packed sessions that explored some of today’s most critical challenges – in both data infrastructure and energy innovation.

Data lineage in the era of AI: Solving one of tech’s biggest challenges

As modern enterprises scale, data ecosystems are growing exponentially in complexity – and traditional approaches to lineage can no longer keep up. In a session alongside Chad Sanderson, CEO of Gable.ai, Adam Sroka explored how AI-driven code analysis is transforming the way organisations understand and manage their data.

Automatically map end-to-end data flows across vast codebases
Uncover hidden dependencies within legacy and regulated systems
Enhance data catalogues and governance with AI-powered insights

The talk featured a live demo on a large energy dataset, demonstrating how AI can transform lineage tracking from a manual, error-prone process into an automated, scalable solution that delivers transparency and trust in enterprise data.

Automating MLOps pipelines for energy flexibility

The UK’s energy market is evolving rapidly, driven by the growth of renewables, EVs, and distributed assets. Managing this shift requires scalable, intelligent data systems capable of adapting to dynamic grid conditions.

In collaboration with Steve Sinclair, Head of Data at Flexitricity, Adam shared how MLOps practices can accelerate innovation and improve operational efficiency in the energy sector. Together, they explored:

The technical complexity of energy flexibility in 2025
How MLOps best practices can scale data science experiments to 10,000+ per year
Lessons learned from deploying automated pipelines to production
The importance of investing in technology and talent to drive energy innovation

The audience gained an inside view of how machine learning and automation are helping companies like Flexitricity build smarter, more resilient energy systems.

A day of ideas, insight, and connection

Big Data LDN 2025 proved once again why it’s the leading event for data and AI professionals – a space where cutting-edge research meets practical implementation, and where thought leaders like Adam are helping shape the conversation around responsible, scalable data and AI systems.

For Hypercube, the day was an opportunity to showcase our expertise in applied AI, connect with peers across industries, and highlight how our work bridges innovation and real-world impact.

From ideas to impact: Powering the future of energy with data & AI

Hypercube’s collaboration with Flexitricity is a powerful example of how MLOps and AI can drive real change in the energy sector – enabling smarter, faster, and more flexible systems for a sustainable future.

Read the full story in our case study, Flexitricity Scales Energy Forecasting MLOps to Drive Value in Hours, and for a deeper dive, listen to Steve Sinclair’s insights in our podcast episode, Role of Data Analytics in Supporting Energy Trading Decisions.