The Real ROI of Enterprise AI | ft HP, ServiceNow & Accenture

The “ROI of AI” has been marketed as a panacea, a near-magical solution to all business problems.

Following that promise, many companies have invested heavily in AI over the past year and are now asking themselves, “What is the return on my AI investment?”

This week on Chain of Thought, Galileo’s CEO, Vikram Chatterji joins Conor Bronsdon to discuss AI's value proposition, from the initial hype to the current search for tangible returns, offering insights into how businesses can identify the right AI use cases to maximize their investment.

Next, we’re joined by a panel of AI experts to discuss the ROI of Enterprise AI, featuring Alex Klug, Head of Product, Data Science & AI at HP; Sriram Palapudi, Sr. Dir, ML Platform Engineering at ServiceNow; and Jay Subrahmonia, Global MD for AI Research & Products at Accenture.

Together, they explore effective implementation strategies, how to measure the returns of AI adoption in the enterprise, and why AI's ROI isn't always just about the bottom line.

Chapters:

00:00 Introduction

01:50 Current State of AI Investments

03:59 Challenges and Solutions in AI Implementation

08:30 Identifying and Prioritizing AI Use Cases

10:53 Ensuring Trust and Explainability in AI

15:29 Measuring ROI and Efficiency Gains

21:10 Panel Discussion Begins

21:54 Trust and Risk Management at HP

23:27 Accenture's Approach to Operationalizing AI

26:06 ServiceNow's Trade-offs and Prioritization

31:17 Measuring the success of AI for customers

36:29 Frameworks and Best Practices

40:57 Conclusion and Final Thoughts

Show Notes:

• ⁠⁠⁠Watch Productionize 2.0⁠⁠⁠
• ⁠⁠Check out Galileo⁠⁠⁠

• Follow⁠ ⁠⁠⁠ ⁠Vikram Chatterji
• Follow⁠ ⁠⁠⁠ Alex Klug
• Follow Sriram Palapudi
• Follow Jay Subrahmonia