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 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
Follow:
Vikram Chatterji: https://www.linkedin.com/in/vikram-chatterji/ Conor Bronsdon: https://www.linkedin.com/in/conorbronsdon/
Alex Klug: https://www.linkedin.com/in/alex-klug-67ba3655/ Sriram Palapudi: https://www.linkedin.com/in/sriram-palapudi-11294b1/ Jay Subrahmonia: https://www.linkedin.com/in/jayashree-subrahmonia-99963a/
Show notes: Watch all of Productionize 2.0: https://www.galileo.ai/genai-productionize-2-0
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