Episode 114: What Makes a Successful AI Project?

In this week’s podcast Jon Prial is joined by Tara Khazaei, Chief Data Scientist, National AI Team, Customer Success Unit at Microsoft. Jon and Tara talk about how domain knowledge, as well as statistical intuition, make for more successful outcomes in machine learning projects. They discuss performance through the lens of projects Tara and her team have led at Microsoft. For instance, you’ll hear about projects the Microsoft team led to improve customer service at a bank, to improve bus time departure estimates and to predict opiate overdoses. Through their conversation, you’ll hear what makes a successful AI project.

In this episode you’ll hear:

The 10 Principles of Applied Artificial Intelligence

Introduction

Artificial intelligence (AI) is rapidly moving out of the laboratory and into business and consumer applications. As a result, we’re seeing a fundamental shift in how software is built and what it’s capable of doing.

Of course, the type of AI we’re talking about isn’t the artificial general intelligence of science fiction, where a robot or software program can do whatever a person can and more. Instead, we’re referring to artificial narrow intelligence. In other words, the use of AI in very specific contexts. It’s this type of AI that’s already being used to power some of today’s most successful technology businesses, including Google, Facebook, Amazon, Netflix, Uber and Airbnb.

AI is a rich and complex topic, and one that has evolved as a result of years of computer science research. Today, we have reached the point where AI can be applied within most businesses,

Start with the Processes
Integration
Models
Data
Governance
Start with the Processes
Start with the Processes
Integration
Integration
Models
Models
Data
Governance
Governance
Governance

Continue reading “The 10 Principles of Applied Artificial Intelligence”