805 episodes

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 Artificial Intelligence Research CEO Daniel Faggella interviews top AI executives from Fortune 500 firms and unicorn startups - to uncover trends, use-cases, and best practices for practical AI adoption.

Subscribe to Emerj's weekly AI newsletter by downloading our "Beginning with AI" PDF guide: https://emerj.com/beg1

The AI in Business Podcast Daniel Faggella

    • Technology
    • 4.4 • 149 Ratings

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 Artificial Intelligence Research CEO Daniel Faggella interviews top AI executives from Fortune 500 firms and unicorn startups - to uncover trends, use-cases, and best practices for practical AI adoption.

Subscribe to Emerj's weekly AI newsletter by downloading our "Beginning with AI" PDF guide: https://emerj.com/beg1

    Tires and Data Collection for Autonomous Vehicles - with Chris Helsel of Goodyear

    Tires and Data Collection for Autonomous Vehicles - with Chris Helsel of Goodyear

    Today’s guest is Chris Helsel, Senior Vice President of Global Operations and Chief Technology Officer at The Goodyear Tire & Rubber Company. Despite the disparity in the predictions about self-driving cars that were made a decade ago, the era of automated transportation is close at hand. Chris joins the podcast today to discuss the enormous implications of the transition for numerous industries, from consumer goods to manufacturing and retail, and every industry that touches on transportation. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

    • 20 min
    GenAI for CX, Cybersecurity, Fraud Detection, and Marketing Workflows in Insurance - with Dr. John Almasan of TIAA

    GenAI for CX, Cybersecurity, Fraud Detection, and Marketing Workflows in Insurance - with Dr. John Almasan of TIAA

    Today’s guest is Dr. John Almasan, Head of AI & Emerging Technologies at TIAA. TIAA, or the Teachers Insurance and Annuity Association of America-College Retirement Equities Fund, is a US-based insurance provider specializing in retirement services in areas like academia, research, healthcare, and government. Dr. Almasan joins Emerj CEO and Head of Research Daniel Faggella on today’s podcast to discuss AI in insurance with a focus on governance, talent, and innovation. Together, they cover practical use cases in customer experience, fraud detection, and marketing throughout the episode. 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!

    • 24 min
    AI for Supply Chain Challenges in Life Sciences - with Shreyas Becker of Sanofi

    AI for Supply Chain Challenges in Life Sciences - with Shreyas Becker of Sanofi

    Today’s guest is Shreyas Becker, Head of AI & Data Products, Manufacturing & Supply at Sanofi. Shreyas joins Emerj Senior Editor Matthew DeMello on today’s podcast to talk about alleviating pain points for supply chain leaders in life sciences spaces. From building systems that deliver “real world evidence” to the subject matter experts and managers who need it to the pros and cons of sharing sensorial data with big tech data storage platforms like Amazon Web Services – Shreyas helps the executive podcast audience understand how problems are both viewed and solved through the lens of data, from no matter where they arise. 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!

    • 20 min
    Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences - with Daniel Ferrante of Deloitte

    Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences - with Daniel Ferrante of Deloitte

    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!

    • 30 min
    Transforming a Legacy Enterprise Culture to a Data-Based Enterprise Culture - with Bikalpa Neupane of Takeda Pharmaceuticals

    Transforming a Legacy Enterprise Culture to a Data-Based Enterprise Culture - with Bikalpa Neupane of Takeda Pharmaceuticals

    Today’s guest is Bikalpa Neupane, Head of AI/GenAI and Natural Language Processing at Takeda. Bikalpa returns to the program to talk about the difference between a legacy enterprise culture and a data-based enterprise culture, showing how legacy leaders in sectors as diverse as healthcare, financial services, manufacturing, and beyond can make the transition in today’s AI-driven global economy along the way. Later, he and Emerj Senior Editor Matthew DeMello pull apart challenges for large enterprises as more open-source AI tools become available to individuals, eroding the traditional and structural advantages legacy firms have long held in the marketplace. 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!

    • 30 min
    IT for Financial Services in the Age of GenAI - with Craig Mackereth of Rimini Street

    IT for Financial Services in the Age of GenAI - with Craig Mackereth of Rimini Street

    Today’s guest is Craig Mackereth, Executive Vice President of Global Service Delivery at Rimini Street. Rimini Street is a publicly traded company specializing in third-party support for mission-critical systems for financial services organizations and beyond. Craig joins Emerj Senior Matthew DeMello on today’s program to discuss the most significant challenges currently facing financial services leaders when it comes to driving the IT systems and infrastructure necessary to take advantage of data-heavy generative AI use cases. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

    • 23 min

Customer Reviews

4.4 out of 5
149 Ratings

149 Ratings

Eddie J. Soto ,

AI In Business really uncomplicate AI in different industries

Edmund Zagorin take on the challenge of purchasing process having AI implimentation in the automotive industry.

mc75random ,

One of the only AI podcasts worth listening too

As an AI consultant, I find Daniel’s podcasts amazing. He always has interesting guests who have practical experience to share. Daniel asks insightful questions and often uncovers new ways of thinking about AI that I had not thought about before.

Thank you Daniel for creating this show. It’s honestly one of the very few worth investing time in.

ASobering ,

Entertaining, insightful, and actionable! 🔥

This is one of the most insightful podcasts that I have ever come across! Daniel does such a great job of sharing his wisdom and I love how he leads meaningful conversations with industry experts who bring so much experience to the table. Every. single. episode. is jam-packed with helpful takeaways that will help your business thrive in a new era filled with endless ML and AI possibilities. Highly recommend checking this show out - you won’t be disappointed!

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