The AI in Business Podcast Daniel Faggella

Today’s guest is Alan Boehme, Former Chief Technology Officer at H&M. Alan has also served at a number of Fortune 500 companies, assisting them through their digital transformations, including Coca-Cola and Procter & Gamble. Alan returns to the program today to discuss his pet peeves regarding the ‘Enterprise Deep State’ – or what he sees as those forces inside the modern-day American corporation that enforces a status quo that will always keep an organization from its true innovative potential. Later, he explains why AI capabilities will help reveal the ‘deep state’ inside every organization, hopefully rendering them a permanent place in the history books. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Tsavo Knott, Co-founder and CEO of Pieces. Pieces is an AI-driven software company that builds a platform to enable software developers to work more efficiently. Tsavo joins Emerj CEO and Head of Research Daniel Faggella for the first in a special two-part conversation on the challenge for software developers as GenAI drives greater heights in computing power and enterprise infrastructure. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Julie Winkler, Chief Commercial Officer of the CME Group. CME Group is a Chicago-based financial services firm that operates derivative exchanges including the Chicago Mercantile Exchange and Chicago Board of Trade. Julie joins Emerj CEO and Head of Research Daniel Faggella on today’s program to pull apart new trends in AI adoption for financial services with a focus on data and security challenges. Later in the program, she offers strategic advice on prioritizing different AI initiatives in the enterprise and subsequent lessons for leadership. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Matt Berseth, Co-founder and Chief Information Officer of NLP Logix. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. Matt joins us on today’s program to talk about the last decade in AI development and how natural language processing became such a central driver of adoption for so many industries over that period. This episode is sponsored by NLP Logix. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today’s guest is Bill Armstrong, Chief Innovation Officer at Moss Adams. Moss Adams is one of the 15 largest public accounting firms in the US, providing accounting, tax, and consulting services to public and private middle-market enterprises across industries. Bill joins Emerj Senior Editor Matthew DeMello on today’s program to discuss the impact of AI on hiring practices and what the future of human resources departments will look like as these technologies become more commonplace in every kind of enterprise. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today’s guests are Arkestro Founder & Chief Strategy Officer Edmund Zagorin and Johnson & Johnson Chief Procurement Officer Len DeCandia. Arkestro is an AI-driven startup in the procurement space with broad partnerships across the automotive, construction, and manufacturing sectors, including Johnson & Johnson and Koch Industries. Together, the two discuss procurement from a distinct leadership perspective and the broad range of challenges, from keeping talent ahead of scaling to the post-pandemic realities of recovering supply chains. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!