In this episode, TCS’s Strategic Foresight Consultant, Adam Boostrom, walks us through the role AI will soon play in finding M&A matches. We discuss the current process for finding quality M&A candidates and the challenges of making them successful. We then explore how fast growing AI and machine learning technologies could make that process far more efficient and data-driven in the future.

For additional information, please visit: Reimagining the Future Blog: [ Ссылка ]

Q&A:

Q1 Is your recent report closer to science fiction or fact? 50:18

Q2 Why are M&A deals notoriously tricky to actually make work? 1:41

Q3 Historically, how are M&A deals discovered and accomplished? How does a company find a good Merger / Acquisition candidate? 2:23

Q4 How would AI handle that kind of complexity? 5:19

Q5 Walk us through how AI might help you discover somebody that would add value if you were to acquire them. 7:34

Q6 How do you train your AI to actually be successful? Do you have any thoughts on how that might actually be accomplished? 9:27

Q7 What are the obstacles that still lie in our way between accomplishing that today and between accomplishing that as a routine process? 10:58

Q8 How would we go about starting to put evaluation on potentially earth shattering technology? 11:51

Report: “How AI Will Guide Future M&A Deals” at [ Ссылка ]

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About the Reimagining the Future Series | The Future of Business
The Reimagining the Future Series, produced by the Future of Business team, helps our clients and partners see the combinatorial effects of science, technology, digital forces, and societal factors rapidly shaping our emerging future. The series provides inspiration, strategic ideas, actionable thought leadership, and guidance to better understand the transformational journey and its implications to help business leaders reimagine and position their organizations for the future.

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