647 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 • 124 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

    Delivery and Supply Chain Applications of Computer Vision - with Christian Floerkemeier of Scandit

    Delivery and Supply Chain Applications of Computer Vision - with Christian Floerkemeier of Scandit

    Today’s guest is Christian Floerkemeier, VP of Product, CTO, and Co-Founder of Scandit. Scandit is an AI firm focused on smart data capture and barcode scanning. Christian received his Ph.D. in Computer Science in Zurich and was the Associate Director for the AI ID Lab at the Massachusetts Institute of Technology. In this episode, Christian focuses on this retail workflow of checking inventory and prices. He speaks about where AI might not only help speed up that process but also potentially improve the experience of the individual employees working there. Christian provides interesting computer vision use-cases and efficiencies and provides practical adoption advice for business leaders. This episode is brought to you by Scandit. To learn more about reaching Emerj’s global audience via audio, email, or otherwise, visit emerj.com/ad1.

    • 29 min
    Computer Vision for Understanding Retail Customers - with Kelly Harlin of Sharp NEC

    Computer Vision for Understanding Retail Customers - with Kelly Harlin of Sharp NEC

    Today’s guest is Kelly Harlin, Director of Solutions Marketing and Commercialization at Sharp NEC. Sharp and NEC collectively have approximately 160 thousand employees as two of Japan’s largest electronics manufacturers. Kelly speaks specifically about their computer vision applications in retail in this episode. She opens up with some information retailers wish they knew about people who shop with them physically and in person. Secondly, Kelly discusses what AI can collect about a user, from the cost of their shoes to how they walk, and how this data can inform people responsible for marketing to their audience in different geographic regions where diverse customers will require different responses and approaches. Access a vast collection of use-cases for AI applications and trends in retail and more at emerj.com/ret1.

    • 21 min
    Smart Data Capture for Shelf Management in Retail - with Christian Floerkemeier of Scandit

    Smart Data Capture for Shelf Management in Retail - with Christian Floerkemeier of Scandit

    Our guest today is Christian Floerkemeier, VP of Product, CTO, and Co-Founder of Scandit. Scandit has raised nearly $300 million to address smart data capture, they have hundreds of employees, and logistics and supply chain is one of the spaces in which they operate. In today’s episode, we’re focusing on two different use-cases that share the use of computer vision. First, we discuss ID verification applications in alcohol delivery services, followed by increasing efficiency in loading and unloading trucks in supply chain juncture points with computer vision. Christian details how these two use-cases work in terms of where the computer vision is being leveraged, how the data is stored, and the realities of adoption. This episode is brought to you by Scandit. To learn more about Emerj Media and how to reach the Emerj audience, visit emerj.com/ad1.

    • 30 min
    The Future of AI in Telco - with Mazin Gilbert of Google

    The Future of AI in Telco - with Mazin Gilbert of Google

    Today’s guest is Mazin Gilbert, Director of Engineering, Telecommunications Orchestration, Analytics, and Automation at Google. Some five or six years ago, Mazin joined us to discuss artificial intelligence in telecommunications when he was with AT&T. Since this last episode, AI has become inevitable in the telco space with substantial AI deployments across the industry. In this episode, Mazin first speaks about what he’s observed in the telecommunications world that he considers some of the early signs of change in data infrastructure and the fruitful use of AI. He then dives into where artificial intelligence is currently adding value to the telco industry. To discover critical AI applications and trends, download our whitepaper “3 Ways to Discover AI Trends” at emerj.com/t3.

    • 26 min
    Designing AI Solutions with Minimal Workflow Change for End-Users - with Patrick Bangert of Samsung AI

    Designing AI Solutions with Minimal Workflow Change for End-Users - with Patrick Bangert of Samsung AI

    Our guest on today’s episode of the AI in Business podcast is VP of Artificial Intelligence at Samsung SDS America Patrick Bangert. Patrick discusses the efficacy of making minimal workflow changes a goal from the start and how the AI capabilities pioneered at Samsung have made their way to widespread success for other enterprises. In particular, Patrick gives actionable insight into how minimizing change management friction benefits end users — and why the way people and systems work together remains much more complicated even than machine learning. To access Emerj’s frameworks for AI readiness, ROI and strategy, visit Emerj Plus: emerj.com/p1.

    • 16 min
    AI in Compliance: Handling Sanctions, Communications, and Novel Threats - with Thomas Mangine of BMO

    AI in Compliance: Handling Sanctions, Communications, and Novel Threats - with Thomas Mangine of BMO

    This week we’re continuing our series on artificial intelligence in compliance. Our guest is Thomas Mangine, Director of AML and Risk Reliance for the Bank of Montreal. In this episode, Thomas shares his unique perspective on staying ahead of adversaries from financial services and defense points of view. He also discusses how data is becoming more valuable and what particular kinds of data are creating new opportunities for emerging forms of AI capabilities. Thomas also details several unique compliance-related use cases and circumstances regarding concerns about sanctions. This episode is part of our broader series on compliance brought to you by Smarsh. If you haven’t already, be sure to tune into the previous episodes in this series at podcast.emerj.com to discover more key insights from leaders in the industry.

    • 37 min

Customer Reviews

4.4 out of 5
124 Ratings

124 Ratings

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!

Info_Sprinkles ,

Great balance…

… of thoughts on Eutopian and dystopian futures. We get a lot of great ideas for Gaia’s Seed, set in 2099, from this podcast.

Cheers

You Might Also Like

Changelog Media
NVIDIA
Sam Charrington
Jon Krohn and Guests on Machine Learning, A.I., and Data-Career Success
Kyle Polich
Tobias Macey