Recording

AI Asset Management for Energy Storage

WEBINAR RECORDING

Turn alert burden into actionable insight – powered by AI

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Energy storage asset teams are overwhelmed with alerts. 

Multiple systems are generating thousands of notifications, creating a world of conflicting priorities. Critical issues can be buried in noise, resulting in valuable time being lost when deciding what to act on first. 

The commercial challenge:

  • Missed or delayed responses to serious, high-priority issues 
  • Increased operational risk and avoidable revenue loss 
  • Inconsistent or incomplete reporting for Asset Directors and investors 

In this 30-minute session, Hypercube show how an AI Asset Manager Assistant consolidates, prioritises, and explains asset issues – transforming BESS alert overload into faster decisions, lower risk, and impactful portfolio analytics. 

The new intelligent Asset Manager Assistant supports asset teams by: 

  • Consolidating all asset alerts from disparate systems into one clear view  
  • Scores alerts by severity, triaging the most urgent, high-impact issues to be addressed first 
  • Recommends next-step actions, with human-in-the-loop approval and feedback 
  • Creates an audit trail of decisions and actions 
  • Delivers portfolio-level analytics, identifying recurring issues, tracking performance across sites and assets, and producing stakeholder reporting.  

Watch this session to see how the AI Asset Manager Assistant helps energy storage teams focus on what matters most. 

Speakers

Dr. Adam Sroka

CEO & Technical Co-Founder
An experienced data and AI leader helping organisations unlock value from data by delivering enterprise-scale solutions and building high-performing data and analytics teams from the ground up.

Louise Kirkham

Principal AI Engineer
Grounded in a strong physics and engineering background, Louise brings extensive experience in applied AI and machine learning. She specialises in agentic and generative AI, MLOps and responsible AI, with work spanning energy, logistics, healthcare, legal and supply chain.

Dr. Ivona Voroneckaja

Engineering Manager
Rooted with a statistical foundation, Ivona possesses a rich academic and professional background. Having dedicated over half a decade to lecturing in Statistics at the University of Glasgow, she earned recognition for her contributions to the field of machine learning,

AI FOR ENERGY

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Certificate No:428952023
Certificate No:428952023

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