AI Today Podcast: AI and ML For Fraud Detection & Risk – Interview with Rajat Jain, VP Fraud & Risk Management, American Express

Data is critical to making AI and machine learning work. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Augmentation, Data Labeling, Bounding box,...

11 Elo 202311min

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build...

9 Elo 202322min

Data is the heart of AI. So, therefore doing things associated with your data is going to be critical for AI projects. This includes Data Preparation, Data Cleaning, Data Splitting, Data Multiplicatio...

4 Elo 202314min

For anyone who has used or interacted with an AI system you know that trust is required for AI systems if you want them to deliver any meaningful benefit. And once trust is lost, it’s almost impossibl...

2 Elo 202325min

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Robotic Process Automation (RPA), Attended bots, Unattended bots, Low Code, No Code, explain how these t...

28 Heinä 202313min

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Automation, Robot, Robotics, Collaborative Robot (Cobot), explain how these terms relate to AI and why i...

26 Heinä 202313min

AI is proving transformational in every industry, including long established industries, and insurance is no exception. AI is able to optimize underwriting processes, enable more personalized insuranc...

24 Heinä 202330min

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Science Notebooks, Jupyter, Colab, explain how these terms relate to AI and why it’s important to k...

21 Heinä 202311min