Today's guest is the Head of Research at Bloc Ventures, David Pollington. Bloc Ventures is an investment firm known for its early-stage entrances and lucrative exits in deep tech. In conversation with Emerj CEO Daniel Faggella, David talks about how the barriers to entry for serious data analytics use cases are lowering to startups. He cites a growing interest from industrial sectors in overcoming challenges in limited data as a driving force behind the trend. Later, they discuss the economic viability of one learning method surrounding the commercialization of limited data problems. Discover more AI use cases, best practice guides, white papers, frameworks, and more by joining Emerj Plus at emerj.com/p1.

Today’s guest is Mark London, Chief Risk Officer for Abound, formerly known as Fintern – a startup specializing in data-driven approaches to small consumer loans. In conversation with Emerj CEO and Head of Research Daniel Faggella, Mark talks about the differences in small and large consumer loans from a data perspective and how lenders can decrease their risk without treating credit scores as the end-all-be-all. And later, they discuss new business opportunities coming from the democratization of data and how long it will take before legacy financial institutions can truly reap the benefits. 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 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.

Today’s guest is Dorothy Li, Chief Technology Officer of Convoy, a logistics and software company based in Seattle that has raised nearly a billion dollars in funding. Dorothy spent over a decade at Amazon, where she served as vice president of user experience, then of BI and analytic services at AWS. Together with Emerj Head of Research, Daniel Faggella, Dorothy explores a logistics use case for AI capabilities in predictive inventory and the impact it is having on manufacturing writ large. Still, there are many challenges, among them that truckers and freight carriers don’t have the equipment (mobile apps, GPS) that other last mile and delivery workers have. Later, they examine where AI can be applied to help schedule deliveries to avoid unplanned downtime. To access Emerj’s frameworks for AI readiness, ROI and strategy, visit Emerj Plus: emerj.com/p1.

Today’s guest is Emily Bremner, Fractional Product Leader and Advisor. Emily was the SVP of Product at Signal AI, a software company specializing in external intelligence with over $100 million in funding at the time of this episode’s recording. In conversation with Emerj’s Head of Research, Daniel Faggella, Emily talks about how AI can not only help companies manage their internal data but also process data from their external environment to find insights into risks and opportunities. Later, she dives into use cases for strategic reputation management, citing how interactions between larger institutions and the media can impact investment risk to tax and regulatory compliance. 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 Dr. Peter Day, Chief Technology Officer at Quantcast. Quantcast is a technology firm founded in 2006, working in AI-driven audience metrics and advertising from the industry's earliest days. In conversation with Emerj CEO Daniel Faggella on the AI in Business podcast, Peter offers a tour of his experience building successful AI teams. From recruitment and hiring to finding the proper dynamics with early adoption stakeholders – what does it take to get the right people in the right "seats on the bus"? Peter answers that question and more, offering guidance and best practices, especially for business leaders outside the AI world from non-tech organizations and industries. 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 Scott Nowson, Artificial Intelligence Leader at PwC Middle East. Scott has a Ph.D. in natural language processing and has worked for many years before PwC as a consultant for legacy enterprises looking to get started in AI. Not long ago, the AI in Business podcast featured episodes discussing how to hire and build AI teams, focusing on crucial insights most helpful for non-technical business leaders. In today’s episode, we explore the topic from the other side of the table, mining Scott’s technical expertise for what makes successful AI adoption teams best work together. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Caroline Gorski, CEO of R² Factory – a data and tech-focused subsidiary of Rolls Royce. In conversation with Emerj CEO Daniel Faggella, they discuss being a new kind of company underneath a century-old legacy luxury name brand in heavy industry and the benefits of creating a separate experimentation-first culture within a big enterprise. Is it possible to develop subcultures that can do that kind of nimble innovation? Where do people feel brave enough to innovate and experiment in ways that foster legacy business? All are easier said than done – but Caroline shares hands-on experience testing strategies that work in person throughout the podcast today. To access Emerj’s non-technical guide for getting started with AI deployment, check out emerj.com/beg1.

Today's guest is the Director of Engineering, Telecommunications Orchestration, Analytics, and Automation at Google, Mazin Gilbert. Mazin's career is one that has seen its fair share of enterprise teams facing the challenges of legacy data stacks as they enter the age of AI, including AT&T. In discussing his work at Google with Emerj CEO Daniel Faggella, he talks about what he sees on the 'other side of the fence' in a tech company environment. He also shares critical insight on the difference both cultures need from leadership to achieve successful ROI. If you've enjoyed or benefited from the strategies shared in 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 VP and Chief Supply Chain Executive at Westfall, David Schultz. Westfall is a contract manufacturing firm based in Las Vegas, Nevada, working primarily in plastics and resins. First, David and Emerj CEO Daniel Faggella break down challenges specific to procurement and what makes the process so consequential to manufacturing processes. Later, they examine what the 'guessing games' of future manufacturing variables will look like when better informed by AI-derived insights. This episode is sponsored by Arkestro. To learn more about how brands work with Emerj and other Emerj Media options, visit emerj.com/ad1.