Episode 6 - A sneak peek into Artificial Intelligence (AI) and Machine Learning (ML‪)‬ Tech Talk with Rea and Ashwin

On episode 6, we discuss some common day-to-day examples of where AI and ML are being used. For example - Spotify's Discovery feature, Youtube Video Recommendations, Facial Recognition.

We deep dive into the example of how AI and ML tools can help with predicting the value of a property. We understand why and how more data (and inputs) increases the accuracy of whatever we are trying to predict (in this case, the property value).

We also throw in some mild regression and stats references to sound smart but the episode remains simple for the most part to introduce the concept of neural networks.

We discuss the use of these neural networks (a series of algorithms) that enable the AI and ML predictions. We discuss their application in retail (Online shopping like Instacart and Sephora) and how these tools help for better customer repeat purchases and retention. Other industries we touch are real estate as well as raiways.

"The more Instacart you use, the better Instacart gets at predicting the items you would want to shop for."

Edu material-

A relevant Youtube video that summarizes AI/ML - https://www.youtube.com/watch?v=mJeNghZXtMo

Timestamps -

0.30' - 1.30' - Topic Introduction
1.30' - 4.00'- Various day-to-day examples
4.00' - 9.00'- Application in Real Estate
10.00' - 13.00' Application in Retail (Instacart and Sephora)
13.00' - 14.00'- Privacy Concerns around data collection
 14.00'- 15 Online Grocery Store Ocado using Dynamic Pricing to decide prices
15.15'- 16.00' How these predictions get better (investment to improve algorithm accuracy by reducing margin of error)
16.00 - 17.30' Application in Railways
17.30' -  19.10' - Summary and wrap up.