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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 AI Research CEO Daniel Faggella and team 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

What if the real AI revolution isn’t in the models — but in the reimagined systems beneath them? In this episode, Deborah Golden, U.S. Chief Innovation Officer at Deloitte, joins Emerj CEO and Head of Research Daniel Faggella to rethink what powers (or derails) AI at scale. The conversation challenges conventional wisdom – proposing that the future of AI may hinge less on algorithms and more on the invisible infrastructure that surrounds them. Golden surfaces the hidden risks of silo systems, unchecked shadow AI, and the all-too-common “speed trap” mindset – making a bold case that infrastructure isn’t just operational – it’s strategic. From governance to cross-functional orchestration, this conversation explores what it takes to embed AI with resilience, trust, and sustained ambition. This isn’t about chasing the next model. It’s about elevating the questions we’re asking – and reimagining the systems that will define whether AI fulfills its promise or fractures under pressure. This episode is sponsored by Deloitte. 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!

Unlocking Infrastructure as the Engine of Transformation – with Deborah Golden from Deloitte

The ‘AI in Business’ podcast connects enterprise leaders with the best insights on how AI is driving measurable impact across regulated industries. In this episode, we highlight Prudential Financial’s perspective on scaling AI in customer experience, an area facing both significant opportunity and unique regulatory challenges. By featuring Abhii Parakh, VP and Head of Customer Experience at Prudential Financial, this episode links directly into ongoing conversations with financial services leaders about digital transformation, customer trust, and the rise of agentic AI. Listeners will gain actionable context for how insurance companies can responsibly adopt AI, improve employee and customer outcomes, and prepare for a rapidly changing future of customer interaction. This episode is sponsored by Cognigy. 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!

The Future of Customer Experience in Financial Services with Agentic AI - with Abhii Parakh of Prudential Financial

As AI adoption accelerates in financial services, governance leaders face the challenge of keeping oversight processes aligned with innovation. OneTrust provides data governance and risk management tools, serving over 14,000 customers worldwide across privacy, security, third-party, and AI domains. Traditional data governance models, often designed for structured databases, are not built to manage today’s dynamic, unstructured AI workflows. Without clear frameworks, organizations risk compliance gaps, inconsistent oversight, and even internal conflict over ownership of AI decision-making. In this episode, Shane Wiggins, Director of Product at OneTrust, explores how enterprises can build governance models that not only mitigate risk but also support innovation. He explains why visibility into unstructured data is essential, how to align compliance and product teams through self-service governance, and the importance of making governance “invisible to developers but visible to auditors.” Wiggins also details best practices for staying ahead of regulatory change, from embedding flexible policies to creating system cards that clarify model purpose and limitations for clients. The discussion highlights how governance, when done right, can accelerate time to market, reduce compliance costs, and even create 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! This episode is sponsored by OneTrust. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Aligning Innovation with Oversight in AI Governance for Data Teams - with Shane Wiggins of OneTrust

Banks face some of the highest stakes when it comes to IT reliability. Even small disruptions can ripple into regulatory exposure, reputational harm, and major financial losses. Yet many financial institutions still rely on reactive monitoring systems that chase alerts without addressing the root causes of outages. On today’s episode of the ‘AI in Business’ podcast, Dale Skeen, CTO and Co-founder of Vitria Technology, explains how AI and agentic systems are reshaping IT operations in financial services. Vitria Technology is a global leader in AI-driven operations platforms, helping enterprises move from data analysis to automated action with its flagship VIA AIOps solution. Built for scale, VIA AIOps delivers total ecosystem observability and intelligent automation, reducing downtime, improving customer experience, and accelerating ROI. Dale’s appearance goes into great detail on how knowledge graphs improve explainability and trust, how automation is already reducing time to resolution for common failures, and how AI copilots are helping teams tackle the most complex system outages. Dale also shares a roadmap for financial leaders looking to reduce downtime, cut manual toil, and scale toward self-healing IT systems—one sprint at a time. 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! This episode is sponsored by Vitria Technology. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Predicting System Failures with AI in Banking - with Dale Skeen of Vitria Technology

As enterprises scale their AI initiatives, leaders face mounting challenges in balancing compute demands, sustainability goals, and hybrid cloud strategies. Many organizations rush to secure GPUs and cloud resources without accounting for hidden costs, data bottlenecks, and sustainability trade-offs. In this episode of the AI in Business podcast, Emerj Editorial Director Matthew DeMello speaks with Jason Hardy, Chief Technology Officer of AI at Hitachi Vantara, about the realities of scaling AI infrastructure at the enterprise level. Want to share your AI adoption story with executive peers? Hitachi Vantara is a wholly owned subsidiary of Hitachi, Ltd. that provides data infrastructure foundations that help leading innovators manage and leverage their data at scale. Through data storage, infrastructure systems, cloud management and digital expertise, the company helps customers build the foundation for sustainable business growth. To learn more, visit www.hitachivantara.com. 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! This episode is sponsored by Hitachi Vantara. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Balancing Trade-Offs in Hybrid Cloud and the Infrastructure behind Scalable AI - with Jason Hardy of Hitachi Vantara

As universities and enterprises both turn to large-scale digital learning, the challenges of scaling education look remarkably similar across sectors. From managing data pipelines to ensuring learners feel a sense of connection, success depends on more than just technology. In this Pure Storage-sponsored episode of the ‘AI in Business’ podcast from Emerj, Norma Scagnoli, Chief Learning and Innovation Officer at the Illinois Institute of Technology, discusses how higher education institutions are navigating cultural resistance, accreditation hurdles, and governance demands while scaling MOOCs and degree programs. She also shares lessons enterprises can apply as they build partnerships with universities and adopt AI-driven personalization for workforce training. 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! This episode is sponsored by Pure Storage. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Data Pipelines that Support Globalized Education and Training Programs - with Norma Scagnoli of the Illinois Institute of Technology

The consumer goods and retail industries face an overwhelming challenge: too much fragmented data and too little clarity. From mismatched retailer reports to legacy systems that can’t keep up with today’s SKU volumes, many organizations find themselves bogged down in “data indigestion” instead of actionable insights. Today’s guest is Henrique Wakil Moyses, Vice President of Data Science at Crisp. Crisp is a data platform designed for the consumer goods ecosystem, helping brands, retailers, and distributors harmonize fragmented data from multiple sources. By providing real-time visibility into sales, inventory, and supply chain signals, Crisp enables faster, data-driven decisions that reduce waste and improve business outcomes. Henrique joins Emerj Editorial Director Matthew DeMello to break down how CPG and retail leaders can cut through this complexity. He explains why building a data-driven culture is the first barrier to overcome, how to align AI adoption with ROI, and where brands are already seeing the biggest payoffs—such as supply chain optimization, inventory forecasting, and personalized retail experiences. 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! This episode is sponsored by Crisp. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Turning CPG Complexity into Real-Time Decisions with AI - with Henrique Wakil Moyses of Crisp

Rethinking Infrastructure As the New Competitive Edge in AI - with Deborah Golden from Deloitte

As AI capabilities evolve, financial institutions face pressure to balance innovation with security, trust, and regulatory compliance. From fraud prevention to customer experience, deterministic AI applications continue to form the backbone of financial services—even as new technologies like generative and agentic AI emerge. In this episode, JoAnn Stonier, Data and AI Fellow at Mastercard, joins us to share how Mastercard is navigating these dynamics. She explains how AI-driven analytics reduce false positives in fraud detection, why “agent-ish” AI marks an important transition toward more autonomous systems, and how responsible governance ensures privacy and security remain at the forefront. 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!

How Financial Institutions Can Prepare for the Future of Fraud with Responsible AI Deployments - with JoAnn Stonier of Mastercard

In today’s high-volume service environments, the smallest misstep can erode both efficiency and customer trust. In this episode, Eric Rivas, Director for Service Repair at Electrolux, joins Emerj Editorial Director Matthew DeMello to share how frontline data and technician expertise can be better captured, organized, and applied to deliver consistent, first-visit success. Rivas advises service leaders on best practices for approaching the challenges of tribal knowledge transfer, skill development, and diagnostic accuracy in large service organizations. He also breaks down the build-versus-buy dilemma facing many service leaders when it comes to new technology—and why effective partnerships often prove more valuable than internal development. Listeners will gain insights into balancing efficiency with reliability, empowering frontline teams, and building long-term trust with customers at scale. 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! This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Balancing Efficiency and Trust in Field Service Operations - with Eric Rivas of Electrolux

Today’s guest is Joe Lang, Vice President of Service Technology and Innovation at Comfort Systems USA — a leading national provider of mechanical, electrical, and plumbing building systems services, with more than 45 operating companies across 170+ locations. Joe shares insights on managing data complexity in large field service operations — from translating tribal knowledge into clean, usable data to building internal tools that treat technicians like their own customers. He explains why cleaning data too early can slow progress, how AI tools can gradually align terminology across legacy teams, and which KPIs matter most when moving from reactive to predictive service. This episode is sponsored by Aquant. 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 Legacy Service Contracts into First Time Fix Wins - with Joe Lang of Comfort Systems

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