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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

The AI in Business Podcast

Today’s guest is Remi Duquette, Vice President of Innovation and Industrial AI at Maya HTT. Short for Maya Heat Transfer Technologies, Maya HTT is a leading software developer and engineering services provider with nearly 200 employees based in Chicago and specializing in heavy industry solutions. In conversation with Emerj Head of Research Daniel Faggella, Remi explains the growing importance of real-time telemetry data for preventing unplanned downtime in heavy manufacturing spaces. The real challenge, Remi emphasizes, is in honing the data to give business leaders a singular real-time picture of their activities relative to their business challenges. This episode is sponsored by Maya HTT. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

The Importance of Real-Time Telemetric Data in Manufacturing - with Remi Duquette of Maya HTT

Today’s guests include two senior executives from Sanofi’s manufacturing division, Head of Data & AI for Manufacturing & Supply Chain Kartik Pant and Head of AI & Data Products, Manufacturing & Supply Shreyas Becker, respectively. The pair join us on today’s podcast to identify disconnects between marketing and supply chain workflows that commonly lead to issues such as stockouts and fulfillment delays. Later, they share insights on building what they describe as an ‘end-to-end control tower capability’ for data tools to solve these and similar logistics challenges in life sciences spaces. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Driving Manufacturing, Supply Chain, and Marketing Synergies with AI - with Kartik Pant and Shreyas Becker of Sanofi

Today’s guest is Mark McLaughlin, Director of Insurance for the Global Industries Unit at IBM. Mark joins us on today’s podcast to explore how AI is transforming the insurance industry. With over three decades of experience, Mark dives into the biggest hurdles in today’s insurance workflows and highlights why AI solutions are more crucial than ever. Later in the episode, he and Emerj Senior Editor Matthew DeMello unpack the role of AI in addressing evolving consumer demands, such as personalized and proactive risk management, and how insurance companies can better support customers when disasters loom. 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!

Leveraging AI for Better Insurance Outcomes From Risk Management to Customer Care - with Mark McLaughlin of IBM

Today’s guest is Chloë Domergue, Principal in the Human Capital Practice at Deloitte. Chloë joins us on today’s program to explore the evolving impact of AI and agentic systems within the life sciences sector. She shares her unique perspective on how technological advancements, particularly generative and agentic AI, are reshaping not just operations but the fundamental nature of the workforce. Together with Emerj Senior Editor Matthew DeMello, Chloë dives into the pressing challenges life sciences organizations face, such as hiring and upskilling talent for a future where AI-driven agents work alongside humans. This episode is sponsored by Deloitte. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Preparing the Life Sciences Workforce for Agentic Systems - with Chloë Domergue of Deloitte

Today’s guest is Nick Bostrom, a prominent philosopher and the Director of the Future of Humanity Institute (FHI) at Oxford University. He also leads the Governance of AI Program (GovAI) within the FHI. Renowned globally, his expertise spans existential risk, the anthropic principle, ethics surrounding human enhancement, whole brain emulation, superintelligence risks, and the reversal test. In this special episode of the “AI Futures” series on the AI in Business podcast, we offer an exclusive sample from the Trajectory podcast, hosted by Emerj CEO and Head of Research Daniel Faggella. This excerpt features a fascinating conversation with Nick centering on the concept of a “worthy successor”—post-human intelligences that could expand beyond human capabilities while preserving essential human values. Drawing from his latest book, Deep Utopia, Bostrom explores the potential for AI to “go right,” offering a rare glimpse of optimism for the future of artificial intelligence and its alignment with moral progress. If you’re interested in getting more perspectives on AI’s longer term impact on business and society, be sure to tune into the Trajectory podcast. You can find the YouTube and podcast links here: emerj.com/tj2

AI Futures: AGI That Saves Room for Us - with Nick Bostrom of Oxford University

Today’s guest is Scott Gutterman, Senior Vice President of Digital and Broadcast Technologies at the PGA Tour. Scott joins us on today’s show to discuss the challenges in live sports announcing that make golf a unique customer experience. As the discussion progresses, Scott outlines how the technologies PGA is driving in partnership with AWS and NLP Logix stand to revolutionize how fans of every sport will absorb information across entire leagues and simultaneous tournaments. 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!

AI for Personalizing Sports Event Experiences for Broadcast and Digital - with Scott Gutterman of the PGA Tour

Today’s guest is Shrimanth Adla, Senior Director of Credit Risk at Comcast. Shrimanth’s views expressed on today’s show are his own and do not speak for Comcast as an organization. He joins us in a special Riskified-sponsored episode to talk about the challenges in credit risk across retail and telecom spaces. Throughout the episode, Shrimanth shares his insights into the evolving risks and strategies needed to address them effectively. He breaks down the nuanced differences between credit and fraud risk, explaining how intent shapes both challenges and responses. From assessing customer creditworthiness to anticipating fraud tactics, Shrimanth illustrates how businesses can strike a balance between prevention and maintaining strong customer relationships. This episode is sponsored by Riskified. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

AI’s Role in Fraud and Credit Risk - with Shrimanth Adla of Comcast

Today’s guest is Meghna Mittal, Director of AI and Innovation at Anthem. Meghna joins us on today’s program to tackle the complexities of digital transformation in healthcare. From privacy regulations to cultural resistance, she sheds light on the challenges unique to this highly regulated industry. With a deep dive into how AI and automation are shaping administrative efficiency, Meghna explains how non-patient-facing technology can create a more effective and streamlined patient experience. This episode is sponsored by Hyperscience. Sign up for the automation webinar with Hyperscience CTO Brian Weiss at https://bit.ly/webinar-embracing-hyperautomation. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Overcoming Regulatory Hurdles in Healthcare Innovation - with Meghna Mittal of Anthem

Today’s guest is Sambit Dutta, Vice President of Digital Strategy for Nestlé’s US operations. Sambit joins us on the program to discuss how digital transformation is reshaping the procurement and supply chain functions, especially within the food and beverage industry. From navigating challenges in supply chain resilience to building AI-driven efficiencies, Sambit provides insights into the dynamic factors shaping the future of these critical functions. This episode is part of a special series on AI in procurement workflows sponsored by Arkestro. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

ROI for Manufacturing Procurement AI in Business Intelligence - with Sambit Dutta of Nestlé

Today’s guest is Virginia Dignum, Director of the AI Policy Lab, Professor of Computer Science at Umeå University, and an Associated Professor at Delft University of Technology. In this special episode of the “AI Futures” series on the AI in Business podcast, we offer an exclusive sample from the Trajectory podcast, hosted by Emerj CEO and Head of Research Daniel Faggella. Together, Virginia and Daniel hypothesize what human governance over artificial general intelligence (AGI) might look like, and the many challenges NGOs and international bodies face today in creating the foundations for these governing structures. Virginia challenges the prevalent AGI narrative, advocating instead for a focus on what she terms “Human General Intelligence” (HGI), emphasizing collaboration and human-machine augmentation over existential AI risks. The discussion explores why governing AI requires a socio-technical approach, ensuring accountability rests with humans rather than machines. Virginia also highlights the importance of global governance to address both the risks and equitable benefits of AI, touching on her hands-on experience with international policy groups. If you’re interested in getting more perspectives on AI’s longer term impact on business and society, be sure to tune into the Trajectory podcast. You can find the YouTube and podcast links here: emerj.com/tj2

AI Futures: How to Govern AGI - with Virginia Dignum of the AI Policy Lab

Today’s episode is part four out of five in our Achieving ROI with Early AI Projects series. This week, we have published one episode per day, starting with the Head of the AI Centre of Excellence for Intel. Today, we’re bringing it down to more of a consultancy and vendor perspective from someone who has worked with some of the largest enterprises in the world. Our guest is Dr. Charles Martin, a Silicon Valley AI Consultant with hands-on machine learning experience with organizations like Ebay, BlackRock, and more. In this episode, Charles discusses the concept of data quality mismatch, which can serve as a useful diagnostic tool for estimating what kinds of tasks it will be best suited for. He also speaks about picking projects where you have the data assets to achieve ROI. Be sure to visit emerj.com/p1 to access Emerj’s frameworks for AI readiness, ROI, and strategy.

[Achieving AI ROI] Data Quality Assessment for Non-Technical Leaders - with Dr. Charles Martin

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