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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 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

The AI in Business Podcast

The gap between a promising AI pilot and enterprise-wide, scalable impact remains a critical divide where momentum and resources often stall. Today's guest is Deborah Golden, U.S. Chief Innovation Officer at Deloitte who returns to the show to join Emerj CEO Daniel Faggella to tackle the costly reality of stalled AI initiatives. This conversation moves beyond traditional theory, offering a new strategic lens for driving the systemic and cultural change required to scale AI responsibly. Deborah shares how leaders can overcome deep-seated organizational inertia that typically hinders initiatives, architecting novel approaches for innovation – like AI sandboxes, portfolio-based funding, and "blameless postmortems" – forging the critical, and often missing, connective tissue between experimentation and measurable business impact. The conversation delivers concrete strategies for connecting innovation to core operations and unlocking the promise of AI across your enterprise. This episode is sponsored by Deloitte. Discover how your company can connect with Emerj's audience through our curated media offerings: emerj.com/ad1. Share your perspective with an audience of enterprise AI decision-makers — apply to join the AI in Business podcast: emerj.com/expert2.

Driving the Systemic Change for AI – with Deborah Golden of Deloitte

Today's guest is Robert Kubin, Head of Sales for Central Europe at Amundi. Amundi is a European asset manager, ranked among the top 10 globally by assets under management. It provides savings and investment solutions across active and passive management, in both traditional and real assets. Its offering includes IT tools and services (Amundi Technology) that cover the savings value chain. Amundi is listed on the stock exchange and manages more than €2.3 trillion in assets. A senior executive with more than 20 years of international experience across asset management, insurance, and consulting, Robert brings deep expertise in investment strategy and operational leadership. He joins Emerj Editorial Director Matthew DeMello to discuss how AI can move beyond legacy technology to improve decision-making and automate manual processes in asset and wealth management. Robert also shares practical strategies for embedding AI into core workflows, reducing manual workload, and enabling smaller teams to operate at scale while driving measurable ROI. This episode is sponsored by FE fundinfo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Join an exclusive circle of AI executives shaping the conversation. Share your insights as a guest on the 'AI in Business' podcast and be recognized among peers driving innovation: emerj.com/expert2.

Strategic AI Adoption for Asset Managers and Enterprise Decision Makers - with Robert Kubin of Amundi

Today's guest is Aaron Levie, CEO of Box. Box provides secure cloud content management and collaboration solutions for enterprises managing unstructured data at scale. Aaron joins Emerj CEO and Head of Research Daniel Faggella to discuss how AI is reshaping enterprise data architecture, from organizing unstructured content to enabling AI-ready workflows across business functions. Levie also shares how modular data systems, federated indexing, and embedded intelligence can help organizations improve compliance, accelerate productivity, and turn data management into a competitive advantage. 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!

Why Architecture Determines the Future of AI Innovation - with Aaron Levie of Box

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!

Turning Consumer Goods Data into Real-Time Business Decisions - with Michael Finley of AnswerRocket

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!

Looking at Retail Challenges from a Data Perspective - with Nick Masca of Marks and Spencer

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!

Solving Hard Industrial Problems with Fast AI Deployment - with Kriti Sharma of IFS Nexus Black

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!

Turning Operational Data into AI Ready Assets - with Andrew Deutsch of RR Donnelly and the Fangled Group

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!

Why Regulated Industries Must Rethink Copyright and AI - with Roanie Levy of CCC

Today's guest is Trish Vassar, Vice President of Global Learning & Development, who brings over 20 years of experience in talent management, learning, and leadership development. She joins Emerj Editorial Director Matthew DeMello to explore how enterprise leaders can shift from traditional role-based planning to skills-based workforce strategies powered by AI. The conversation also covers practical approaches to AI-assisted workflows, establishing a shared skills language, and improving staffing and training outcomes across the organization. This episode is sponsored by Workera. 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!

A Practical Path from Roles to Skills for AI-Ready Teams - with Trish Vassar of Coca-Cola

Today's guest is Julian Tang, Chief Operations Officer for the Innovation Office at BlackRock. With extensive experience in financial technology and infrastructure, Julian specializes in integrating AI and data strategies to transform enterprise workflows. Julian joins Emerj Editorial Director Matthew DeMello to explore how leading organizations are scaling AI effectively by building resilient data environments, establishing transparent governance frameworks, and fostering a culture of trust and responsible innovation. Julian also shares practical strategies for reducing operational friction, implementing modular AI workflows, and maximizing ROI across enterprise AI initiatives. Join us for an insightful discussion on the future of data-driven AI in business. Share your AI adoption story and be considered as a future guest on the 'AI in Business' podcast. Apply now at emerj.com/expert2. This episode is sponsored by Pure Storage. See how your brand can share insights and reach decision-makers through Emerj.

Turning AI Ambition into Infrastructure Reality – with Julian Tang of BlackRock

We did a lot of focus on healthcare for the World Bank, and we presented a lot of that research in South Africa. When I was there, I interviewed DataProft cofounder Frans Cronje about the intersection of AI and manufacturing.
 
We talk about what's possible with AI in manufacturing today and just how instrumented and challenging it is to add a layer of AI insight into a manufacturing environment. This is much harder than a lot of other domains where data is maybe more accessible, and in some cases it's also higher risk.

AI Integration Challenges in Manufacturing

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