Artificial Intelligence In Industry With Dan Faggella

Today’s guest is Shandon Quinn, Vice President of Patent Intelligence, Search and Analytics at Clarivate. Quinn joins Emerj Editorial Director Matthew DeMello to examine how AI-powered workflows are helping IP leaders deliver strategic impact, smarter decision-making, and tangible results for data-centric enterprises. Shandon also shares proven changes to patent review and portfolio management, including the shift to predictive analytics and benchmarking, enabling teams to save costs and create new business value through data and automation. This episode is sponsored by Clarivate. 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!

Today’s guest is Faithe Toomy, Director of Voice of the Customer and Insights at Insulet. Insulet is a medical device company specializing in wearable drug delivery systems for diabetes care, combining engineering, clinical research, and digital health capabilities to develop automated therapeutic solutions. Faithe joins Emerj Editorial Director Matthew DeMello to discuss how data and AI are transforming call center operations while maintaining compliance and customer trust. Faithe also shares practical strategies for training agents, leveraging conversational analytics, and implementing AI tools that enhance workflow efficiency, improve first-contact resolution, and support a more confident, human-centered customer experience. 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!

In this special weekend edition of the ‘AI in Business’ podcast’s AI Futures series, Emerj CEO and Head of Research Daniel Faggella speaks with Stuart Russell, Distinguished Professor of Computational Precision Health and Computer Science at the University of California and President of the International Association for Safe & Ethical AI. Widely considered one of the earliest voices warning about the uncontrollability of advanced AI systems, Russell discusses the urgent challenges posed by AGI development, the incentives driving companies into a dangerous race dynamic, and what forms of international governance may be necessary to prevent catastrophic risks. Their conversation ranges from technical safety approaches to potential international treaty models, the role of culture and media in shaping public awareness, and the possible benefits of getting AI governance right. This episode was originally published on Daniel’s ‘The Trajectory’ podcast, which focuses exclusively on long-term AI futures. Want to

Today’s guest is Aaron Demory, Senior Partner at Fearlus and Chief of Information Technology and Security at the FDIC. Aaron joins Emerj Editorial Director Matt DeMello on today’s show to explore how organizations can safeguard institutional memory, align data strategy with cultural goals, and rethink success in the age of AI. With experience spanning both the public and private sectors, Aaron examines the rise and fall of tribal knowledge, why its loss is accelerating across industries, and how this creates operational and compliance risks. He connects these challenges to organizational change management and the broader shift away from traditional systems integration practices. 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!

Global sourcing has long been a barrier for small and medium-sized businesses (SMBs). Language differences, compliance challenges, logistics hurdles, and trust issues can overwhelm even the most determined entrepreneurs. In this episode of the AI in Business podcast, Kuo Zhang, President of Alibaba.com, shares how new technologies—including Alibaba’s agentic AI system Accio—are streamlining procurement and unlocking opportunities once reserved for enterprises. Drawing on examples from thousands of SMBs worldwide, Zhang details how AI is transforming sourcing from a months-long, manual process into an automated workflow that delivers results in hours. He also discusses how Alibaba.com is embedding AI into every layer of its platform, from search to supplier engagement, and how organizations of any size can begin adopting these systems with minimal lift. 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 Busine

Clinical trials are growing more complex, and nowhere is that more evident than in oncology and obesity research. As sponsors push for reliable, real-time patient data, the role of electronic clinical outcome assessments (eCOAs) has never been more critical. These tools determine not only how patients report on their quality of life but also how sponsors capture the endpoints that drive regulatory approval. In this episode of the AI in Business podcast, Emerj Editorial Director Matthew DeMello speaks with Anthony Mikulaschek, Vice President of Commercial Strategy at IQVIA Technologies. Anthony unpacks the evolution of eCOAs, from their early days on Palm Pilots to today’s AI-enabled platforms. He explains how thoughtful design reduces patient and clinician burden, why cultural and linguistic nuance matters for global trials, and what digital libraries and compliance automation mean for faster, more resilient studies. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more i

In this episode, Pavlé Sabic, Senior Director in Generative AI Solutions and Strategy at Moody’s, joins Emerj Editorial Director Matthew DeMello to discuss how agentic AI is redefining workflows in financial institutions. Pavlé explains why large enterprises are turning to AI-driven automation to overcome persistent challenges — from fragmented data and manual inefficiencies to evolving regulatory demands. He shares practical examples, including credit memo automation that reduces production time by 60%, portfolio monitoring tools that detect emerging risks earlier, and sales intelligence workflows that deliver highly targeted client insights. Pavlé also outlines why proprietary data is a strategic advantage in regulated industries and how leaders can implement agentic AI without losing human oversight. 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 Moody’s.

In this episode of the AI in Business podcast, host and Emerj Editorial Director Matthew DeMello speaks with Yunke Xiang, Global Head of Data Science for Manufacturing, Supply Chain, and Quality at Sanofi. Together, they examine how generative AI and reasoning models are evolving from simple automation to high-impact copilots across pharmaceutical operations. Yunke shares examples of how AI is enabling “talk to your data” use cases, automating regulatory reporting, and accelerating knowledge transfer for new employees. He also highlights how agentic AI systems may soon extend beyond copilots to function as digital teammates, orchestrating tasks across complex supply chains and ERP migrations. 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 wh

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

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 be

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, a

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 i

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, conside

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 b

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 wh

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 D

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 p

In this episode of the AI in Business podcast, Pallab Deb, Managing Director in SI & Industry GTM Partnerships at Google, joins Emerj CEO Daniel Faggella to discuss how AI infrastructure has evolved into a platform-centric foundation for enterprise transformation. Pallab explains why the modern AI stack extends beyond compute and storage to include network performance, data governance, multi-model integration, and agentic interfaces that enable real-time, multilingual, and multimodal engagement. He outlines the shift from proof-of-concept pilots to proof-of-value initiatives, where production readiness and security are expected from the outset. 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

Joe Lang, Vice President of Service Technology and Innovation at Comfort Systems USA, joins the AI in Business podcast to discuss why a clear data strategy must come before investing in storage infrastructure for AI adoption. Joe outlines the risks of assuming that cloud providers or storage solutions alone will produce reliable intelligence, and why organizations should approach AI initiatives as iterative R&D projects rather than instant ROI efforts. He shares practical guidance on right-sizing storage to business goals, addressing the skilled trade gap through scalable systems, and the advantages of a cloud-first approach with sequestered, trusted data. 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 Pure Storage. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

AI-powered video intelligence is transforming the retail environment from one of surveillance to one of support. In this episode, Joe Troy, Senior Manager of Site Risk at Amazon, shares how generative AI is helping organizations not only reduce shrink and detect fraud, but also foster transparency, trust, and operational efficiency across frontline teams. Joe explains how AI can detect patterns that traditional systems miss—like organized fraud rings and duplicate refund behaviors—while still relying on human judgment to determine context and action. He highlights the importance of building a culture of “mutual visibility,” where employees feel supported rather than monitored, and risk teams evolve from gatekeepers into trusted business advisors. 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