The AI in Business Podcast

Today’s guest is Anuj Maniar, a principal at Deloitte specializing in financial services. He joins Emerj CEO and Head of Research Daniel Faggella on today’s podcast to discuss the dynamics of balancing customer expectations in channel strategy for financial institutions. Later, they discuss emerging AI use cases throughout the multichannel space, including after-call work in customer service. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Shahar Chen, CEO and Co-founder of Aquant. Aquant is an AI-powered tech company that builds a co-pilot platform for service workflows. Shahar joins us on today’s show to talk about the role generative AI-enhanced co-pilot platforms can play, particularly in improving B2B customer experiences in field service across multiple industrial sectors from heavy industry to healthcare. This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Daniel Ferrante, AI Leader in R&D and Data Strategy at Deloitte. Together with Emerj CEO and Head of Research Daniel Faggella, they delve into the complex challenges in AI adoption that major pharmaceutical firms encounter with cultural shifts, technological complexities, and the difficulties in monetizing data and aligning teams efficiently. Additionally, the pair explores the future landscape of phenotypical drug discovery, drawing insights from the context of COVID-19. Their focus underscores the critical importance of collecting and analyzing data to yield actionable insights, especially in the healthcare sector and amidst global health crises. 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 Dan Buckland, Medical Director of Duke University Health System. Dan is also an assistant professor at Duke University as well as a deputy human system risk manager at NASA. Obviously, he’s no stranger to the latest and greatest technology. However, Dan joins us on the program today to talk about Duke University’s unique approach to AI technologies - often using models that are at least two years old and have requisite training - and using virtual care as a last resort whenever data is showing in-person experiences are holding back patients and caregivers. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Though we don't think about it on a daily basis - the technologies around us often "work" because of an underlying standard that they depend on. These technologies include: Wifi, ethernet, fax, and much of the internet itself. Do certain AI applications need their own set of standards in order to scale?

Imagine if you needed a new type of cable or input every time you wanted to jack your computer into the wall? Imagine if you needed different hardware to pick up wifi in every location you moved around to? Imagine if all websites had totally different protocols for how they were loaded or served to your computer? If this were the case, it would be extremely challenging for a robust "ecosystem" of internet companies and technologies to emerge, because the technology wouldn't scale or work well at all.

This week we interview Konstantinos Karachalios,‎ Managing Director of the Standards Association at the Institute of Electrical and Electronics Engineers (IEEE). Konstantinos holds a PhD in Physical and previously worked for 25 years at the European Patent Office. He speaks with us this week about the kinds of AI standards that may need to arise in order for AI to be safe and trusted enough to support a business ecosystem.

Konstantinos also speaks to us about some of the current AI standards that IEEE is working on developing currently, and the implications they might have businesses everywhere.