by Daniel Faggella
The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj AI Research CEO Daniel Faggella and team interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption. Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise
Language
🇺🇲
Publishing Since
7/7/2013
Email Addresses
11 available
Phone Numbers
4 available
April 15, 2025
Host Daniel Faggella interviews Michael Berger, Head of Insure AI at Munich Re, about the impact of global AI regulations on industry leaders.
April 8, 2025
Host interviews Steffen Hoffmann, Managing Director of Bosch UK, about how Bosch uses AI to improve manufacturing, smart farming, and HR automation.
April 2, 2025
Paul Ronan, Chief Technology Officer at FE fundinfo, discusses how industry leaders are adopting AI to enhance efficiency and improve client personalization in asset and wealth management.
Practical AI LLC
NVIDIA
AI & Data Today
Michael Sharkey, Chris Sharkey
Skynet Today
Jaeden Schafer
Nathaniel Whittemore
Jaeden Schafer and Jamie McCauley
Sam Charrington
MIT Sloan Management Review and Boston Consulting Group (BCG)
Everyday AI
Dietmar Fischer
TED
Jaeden Schafer and Conor Grennan
Paul Roetzer and Mike Kaput
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at [email protected] for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.