AMR DNA WEBINAR and PODCAST

AMR DNA WEBINAR and PODCAST

Watch our AMR DNA webinar

If you’re interested in identifying energy waste, then you should watch our AMR DNA product webinar, which is available now. The webinar title was -‘How AI can identify energy waste – identify energy savings and demystify your energy data with AI’.

George Catto, Client Services Director at AMR DNA has recently delivered a webinar and podcast, discussing AMR DNA and how it uses machine learning to review energy usage.

Webinar

If you’re interested in identifying energy waste, then you should watch our AMR DNA product webinar, which is available now.  The webinar title was -‘How AI can identify energy waste – identify energy savings and demystify your energy data with AI’, and was hosted by our keynote speaker George Catto, Client Services Director AMR DNA  and guest speaker, Stephen Creighton, Head of Member Services, The Energy Consortium (Education & Energy).

Those who attended the webinar gave is a rating of 4.5 out of 5 and feedback from an Energy Officer was the topic and content was “very interesting”.

Why watching the webinar will help you

If you deal with AMR data or the AMR DNA product with customers, then the webinar is ideal if you want to understand the current Energy Management technology landscape and how to exploit the opportunities with AI. Listen and learn more about the challenges associated with the analysis of large volumes of data and what you should expect from a modern energy management system in 2021.

How to watch

Please use the attached link to watch the webinar which will last about 60 minutes.

Podcast

George Catto, Client Services Director for AMR DNA, recently took part in a podcast and spoke about what Energy Assets AMR DNA product, powered by kWIQly, machine learning technology is capable of – listen to the full podcast to find out more.

Machine Learning or Artificial intelligence (AI) technology can provide a much-needed extra set of eyes for energy managers, allowing them to significantly boost productivity and slash energy waste.

George discussed how the company’s machine learning system uses AI in conjunction with a pattern recognition engine to help Energy Managers sifting through large volumes of data better identify the most pressing issues at hand and work to quickly resolve them.

The technology takes half hourly meter data, coupled with local weather data, and the AI builds a model of what it believes each building within a portfolio can achieve – it then makes sure each is performing to the optimum level and highlights where improvements can be made.

George said: “One of the key things that we’re able to do, because all of the analysis is mathematically generated, is we’re able to put a pounds, shillings and pence figure onto each of those issues so that we can help with the selection and prioritisation of what should be done first.”

Listen to the full podcast to find out more.

What is AMR DNA?

AMR DNA leverages the power of energy meter consumption data collected using automated meter reading technology.

By using a highly-sophisticated energy AI – machine learning data processing tool, AMR DNA crunches historic meter data to spot patterns of energy waste. The system progressively ‘learns’ what optimal energy performance looks like – and then delivers tailored recommendations to reduce energy consumption and save money.

Based on the experiences of users, AMR DNA delivers typical average savings opportunities of 25% in gas and up to 15% in power.

Find out more about AMR DNA

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