Episode Details

Connect with Prateek Joshi: prateek@plutoshift.com

Website: www.PrateekJ.com

LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19/

Lisa Ryan: Hey, it's Lisa Ryan. Welcome to the Manufacturers' Network Podcast. Our guest today is Prateek Joshi. Prateek is the founder of Pluto shift and a published author of 13 books. He's been featured in publications such as Forbes, CNBC, TechCrunch, and Bloomberg. You can also visit his website at Prateekj.com to learn more about him. Prateek, welcome to the show.

Prateek Joshi: Thanks Lisa for having me. It's great to be here.

Lisa Ryan: Alright, please tell us about your background and what got you both interested and involved in Ai.

Prateek Joshi: I grew up in a small town in the southern part of India. When I was growing up, water was a beautiful luxury. In college, it stuck with me as I began my professional career. I studied machine learning Ai across law, a natural inclination. But there's a big gap in Ai in the physical world. It's not nearly as ubiquitous as it could be. We all know how to use it every day, as in search engines, but it was about machine learning.

But there's a big gap when it comes to the physical world. That was the core motivation behind doing this, to bring Ai to the physical world. It started with water, meaning any physical infrastructure that touches the water and gathers data. So, we use Ai to solve a fundamental problem like water. How can we use it efficiently? How can we distribute it? How can we make sure it's not wasted? So, that's how it all started.

Lisa Ryan: What are some of the applications of water that Ai would be used for? It's something that I would have never even thought of.

Prateek Joshi: I ended up with a simple example. As the average consumers here in America, we get our water to a network of pipes. An essential part within that setup is called the cleaning process, meaning you'll get raw water from somewhere, and there are these very large treatment facilities that convert raw water into the water that we can consume.

This is a very energy-intensive process, meaning you need to use a lot of electricity and chemicals to make sure the water is clean. If you're not careful, the water can leak and waste electricity, which is again a huge problem. A simple application collects data for pressure-temperature flow rates and then uses a tool like Ai to make sure you're not wasting water. You're not letting it leak, and you're not wasting electricity to clean water. This is one application of how you can use Ai efficiently. There are 100 other use cases as well.

Lisa Ryan: When it comes to manufacturing, of course, water plays a significant role with many factories and plants. But as far as taking this into the manufacturing sector, how do you make Ai practical for manufacturers?

Prateek Joshi: Let's look at a manufacturer. A simple example would be a company that produces food or beverage, and part of the process is to get raw material. Let's say you're making ketchup. You've got to get your raw material in, and then you need at least sources such as electricity, chemicals, and water. That goes into it, so raw material sources go into the facility when the ketchup comes.

A manufacturing operation can be broken down into several steps if you look at a manufacturing operation. Each step has a certain efficiency level, meaning how much are you consuming to produce a unit of output now if we don't use any new technology? A human would have to do it. Imagine a facility where you have 300 membranes, like a filter. What stops this from going through, and you got to make sure that it's all functioning. You can't keep an eye on such extensive infrastructure by planning around as a human. The goal is how do we make sure