Introducing AI agents to energy entities and security issues

Start date: 01 July 2025 – 18:00

The event will feature cases where risk averse US energy entities have requested EcoMetricx develop AI agents to meet mass market needs, and highlight, among other things, EcoMetricx proactive efforts covering a whitepaper and practices to address PII and more.

Learning objectives/benefits & advantages in attending. The audience will learn about pain points and challenges met in practical experiences. This will offer specific insights and roadmaps to EU energy managers, practical, benchmarking input for others in the corporate world who serve similarly cautious customers and environments, and for EU academics, input from University of California staff on applying theoretical ML models to commercial pain points.

Businesses participants will:

gain clarity on what AI agents are, their core components (perception, reasoning, action, memory), and how they differ from traditional automation or chatbots.
understand specific applications of AI agents within the energy industry, such as in enhancing customer engagement through AI-powered chatbots and virtual assistants.
learn about security matters and risks we have addressed (for example, the handling of sensitive PII data) e.g. and others our customers asked us to tackle.
discuss some challenges we have experienced in implementing AI agents.

Overall, by attending this webinar, businesses will gain valuable knowledge to inform their strategies for adopting AI agents, mitigate associated risks, and stay ahead of the curve in this rapidly evolving landscape.

Academic participants will:

see how theoretical research translates into practical applications.
learn from the perspective of industry practitioners how AI is transforming energy sector operations to help shape academic research agendas.
have light shed on how energy entities are addressing security concerns, including data protection and encryption.
appreciate some of the challenges faced by industry to inform research on topics like secure AI deployment and anomaly detection and potentially highlight areas where further research is needed.
identify opportunities to connect with industry professionals, leading to potential collaborations on research projects or internships.

In summary, academia will be able t to stay abreast of latest advancements in AI and its applications in the energy sector, identify research opportunities, and foster collaborations with industry partners.

About EcoMetricx. Based in California, EcoMetricx (https://www.ecometricx.com/) is an AI-powered, fractional, expert-driven, and agile consultancy with a particular focus on economics and data science. Based in California, we serve data rich companies in energy, financial services, telecoms, commercial real estate, biomed and more, that want to do ‘more’ with their data. We harness data engineering, data science and interpretive resources alongside machine learning (ML) methods and algorithms to serve them.

Moderator: Victor Rotaru

Speakers & agenda. The event will include contributions from:

Introduction. Dr Matthew Harding, CEO.
Whitepaper/theoretical input. Ben Westrich, Head of Analytics & Advanced Security.
Practice examples. Mihai Mermezan, Data Engineering Team Lead and Andrei Ionete, Data Science Developer.
Next steps, follow-up. Martyn Fricker, COO.

Whitepaper. The event will reference Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations. The audience can access this paper at https://www.ecometricx.com/whitepapers.

Event link: https://zoom.us/j/94408391949?pwd=WHiVAHwDtcWu6YPqxDEoT02osznq6Z.1