I'm pretty sure nobody ever noticed the butterfly effect in real life. Changing a little parameter somewhere, which leads to unexpected consequences at a total other end of the system, might probably happen on a daily basis, but first, as I said, you'd have to notice and, second to understand that the effect you're seeing is, in fact, linked to the tiny change somewhere else.

We can accept that as a fact and try to master our silos to the best of our abilities, or we can see the continuous advancements in artificial intelligence as the missing link that finally enables us to get more holistic in the comprehension of our systems!

For instance, what if super tiny levels of certain components in drinking water had macro consequences, positive or negative, on human health? What if private worksites on a section of a watershed had tremendous consequences on the water risk downstream? What used to be conjectures drawn on a napkin now become data trends you can spot and link in the era of artificial intelligence and machine learning.

Not ChatGPT or MidJourney style, but soft sensor and data crunching style. If you've been listening to this podcast for a while, first, thanks a lot, great choice, I appreciate; then you might recall a topic that we've quite extensively covered on this microphone. So, what's different today with True Elements? I'll let Kim explain in great detail in just a minute, but I'd say it's a matter of scale. We've seen in the past how modeling, machine learning, or AI can help within a plant, an industrial site, or a city with use cases all across the board. Well, True Elements' Water Intelligence introduces the watershed level as one of the many levels where they aim to create value.

Full Episode: https://dww.show/big-data-deeper-insights-crafting-smarter-water-strategies/

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