We talk IoT: Smart Water Meters: Revolutionizing Water Conservation with Data and AI - Episode 31

Can you imagine cities like Shanghai or Melbourne running out of water within the next 20 years? It's a frightening thought, but with an average household consuming almost 130 litres of water per person, we must cut our usage by half to keep the water flowing for all.

In this episode, Steve McCorry, CTO of Creative EC, shares his insights into making water metering smarter with data and AI. Join us as we explore how combining consumption data with machine learning techniques can help predict and prevent leaks and broken pipes and even warn when water quality becomes harmful. Discover how smart water meters are revolutionizing water conservation and paving the way for a more sustainable future.

 

#reducewater #stopleaks #waterdatainsights #wetalkiot

 

Summary of this week's episode:

Warning: this episode may ruin beer for you.

02:34   What does Creative EC do?

03:31   Why we need to reduce our water usage

05:20   How can water metering help reduce water usage?

07:46   How does Waterfall work?

10:21   How do companies benefit from this?

12:07   Surprising use cases

15:41   The future: predicting water events with AI

18:27   Open ecosystems are the key to adoption

19:52   The matter standard will be interesting for water meters

20:55   The common myth

 

Show notes:

Steve McCorry: https://www.linkedin.com/in/stevefmccorry/

Waterfall: https://waterfallbeyondsmart.com/

 

Interesting facts about water usage in Europe:

Water use in Europe — Quantity and quality face big challenges: https://www.eea.europa.eu/signals/signals-2018-content-list/articles/water-use-in-europe-2014

Some Cities Suffer Enormous Water Losses Every Year: https://www.statista.com/chart/4528/some-cities-suffer-enormous-water-losses-every-year/

Annual industrial water demand worldwide in 2010 and 2050: https://www.statista.com/statistics/1116382/yearly-industrial-water-demand-globally-by-region/

 

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