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The AI in Business Podcast

Daniel Faggella
The AI in Business Podcast
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5 de 1050
  • Turning Consumer Goods Data into Real-Time Business Decisions - with Michael Finley of AnswerRocket
    Today's guest is Michael Finley, Chief Technology Officer at AnswerRocket. Founded in 2013, AnswerRocket builds enterprise AI agents delivering measurable outcomes for Fortune 2000 clients across consumer goods, financial services, construction, real estate, and beyond. Finley joins Emerj Editorial Director Matthew DeMello to discuss how enterprises can move beyond AI experimentation toward scalable, agent-driven systems that deliver measurable business value. Finley also explores what makes AI agents truly enterprise-ready — from data governance and tool integration to deployment and iteration. This episode is sponsored by AnswerRocket. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!
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  • Looking at Retail Challenges from a Data Perspective - with Nick Masca of Marks and Spencer
    Today's guest is Nick Masca, Head of Data Science for Growth & Personalisation at Marks and Spencer. Marks and Spencer plc is a prominent British multinational retailer headquartered in London, England, known for offering a wide range of clothing, beauty items, home goods, and food products. Nick joins us on the program to surmise his views on the data-driven challenges currently facing the retail and eCommerce sectors. With a focus on change management rather than traditional digital transformation, Nick outlines the key obstacles retail leaders encounter when leveraging data tools to optimize processes like price setting, supply chain efficiency, and customer experience. He shares insights on the friction that arises when introducing automation, particularly in areas like content development, and how data teams can work closely with stakeholders to ensure seamless implementation. 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!
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  • Solving Hard Industrial Problems with Fast AI Deployment - with Kriti Sharma of IFS Nexus Black
    Today's guest is Kriti Sharma, CEO of IFS Nexus Black. Nexus Black specializes in solving complex operational challenges in asset-intensive environments by bringing AI engineers and domain experts directly to the factory floor, shop floor, and field. Kriti joins Emerj Editorial Director Matthew DeMello to explain how industrial leaders can move from AI theory to practical execution by uncovering hidden data inside aging assets, integrating multiple data modalities, and delivering measurable outcomes in weeks rather than years. Kriti also details how organizations can reduce unplanned downtime, improve maintenance planning, and scale technician expertise through targeted AI tools—demonstrating how even modest improvements in high-value workflows can drive meaningful operational ROI. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! 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!
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  • Turning Operational Data into AI Ready Assets - with Andrew Deutsch of RR Donnelly and the Fangled Group
    Today's guest is Andrew Deutsch, CEO of the Fangled Group and Director of Operations at RR Donnelley. Fangled Group is a global marketing and sales consultancy specializing in data-driven strategies that accelerate market entry for small to medium-sized manufacturers. Andrew joins Emerj Editorial Director Matthew DeMello to discuss leveraging data and AI to enhance operational efficiency and drive growth in complex industries. Andrew also shares practical insights on integrating technology with workforce solutions to improve workflows and generate measurable ROI. This episode is sponsored by OneTrust. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!
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  • Why Regulated Industries Must Rethink Copyright and AI - with Roanie Levy of CCC
    Today's guest is Roanie Levy, Licensing and Legal Advisor, CCC. CCC provides collective copyright licensing services for corporate users of copyrighted materials. Roanie joins Emerj Editorial Director Matthew DeMello to break down how generative AI is changing copyright risk management for enterprises — from the impacts of Shadow AI to the realities of input/output risk and fair use misconceptions in AI-based workflows. Roanie also explores practical strategies to shift organizations from ad hoc, high-risk AI use to structured processes, collective licensing, and cross-team education. Their conversation highlights actionable steps for reducing compliance burdens, improving workflow efficiency, and future-proofing IP in today's rapidly evolving data and AI landscape. This episode is sponsored by CCC. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!
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Sobre The AI in Business Podcast

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 research staff and journalists 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
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