The AI in Business Podcast

Turning Data Strategy into AI ROI - with TJ Shembekar of IBM

Nov 6, 2021

41:29

Creator website

Highlights

AI Chapters

Episode notes

The Challenge of Aggregating Data From Multiple Data Sources

03:05

Is There a Shared Level of Trust?

02:52

The Data Fabric - A Data Fabric for Ontologies

03:42

Introduction

3min

What Is IBM Financing?

2min

How to Leverage a I in Finance

4min

Collections - I Like This Application

3min

Is Your Algorithm More Trained to Predict Complex Transactions?

2min

Is There a Way to Track the Data in Puts?

3min

The Data Fabric That Underlies All Your a I Use Cases

3min

Data Strategy - The Challenges of Ontology

3min

The Relationship With the Stakeholders

3min

10.

The Big Data Challenge - How to Build a Big Data Ecosystem?

4min

11.

The Challenge of Aggregating Data From Multiple Data Sources

3min

12.

Is There a Shared Level of Trust?

3min

13.

The Data Fabric - A Data Fabric for Ontologies

4min

14.

The Importance of Collaboration and Long Term Thinking

3min

Today’s guest is TJ Shembekar, Director of IT for IBM Global Financing. TJ has been with IBM for over 15 years and has gone through the entire journey of bringing AI to life in the Financing wing of IBM, from aggregating data sources to collaborating with his peers to find the best capabilities for AI. In this episode, TJ discusses some of the exact use-cases that IBM Financing is putting in place today and the process of setting up a data strategy. This episode is sponsored by IBM and is the first part of a three-part series that we’ll be rolling out in the next two months. If you’re interested in reaching Emerj’s global audience of AI-focused leaders, be sure to visit emerj.com/ad1 for more information.