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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

In today’s enterprise landscape, many AI initiatives stall before delivering real business value—especially in service operations, where data lives in disconnected systems and frontline speed is critical. For Amit Gupta, Chief Digital Officer, Life Sciences Manufacturing Industry, at Danaher, overcoming these challenges requires a structured, business-first approach. On this episode of the AI in Business podcast, Amit shares how Danaher uses a 70/30 buy-versus-build strategy to accelerate time to value while maintaining flexibility. He details a step-by-step framework for identifying high-impact AI use cases, involving cross-functional teams early, and guiding projects from strategic concept to measurable results—what he calls moving from “strat to street.” 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.

Moving from Pilot to Profit in Service AI Deployments - with Amit Gupta of Danaher

Today’s guest is Kelly Dempski, Head of Solutions for Banking, Financial Services, and Insurance (BFSI) at Turing. Turing is one of the world’s fastest-growing Artificial Intelligence companies, working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that help businesses solve their toughest problems — delivering real business results, faster, smarter, and at scale. Kelly is a seasoned technology executive and innovator at Turing, where he leads the development of disruptive, business-focused Artificial Intelligence solutions for financial services clients. Over a 30-year career, he has held Managing Director roles at Accenture, Citi, and JPMorgan Chase, as well as working with smaller start-ups. In each role, he has developed solutions that leverage the latest technologies to solve real business problems. As AI becomes increasingly essential to the financial services industry, Kelly offers a grounded perspective on what really makes or breaks enterprise adoption. He explains that the greatest challenges aren’t always in the AI models themselves — but in how they connect to legacy systems, regulatory requirements, and fragmented data environments. From document intelligence to client onboarding, Kelly explores the use cases where AI is already delivering measurable value — and how firms can scale that value by starting small and building momentum. 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 Turing. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Turning AI Vision Into Value in Financial Services - with Kelly Dempski of Turing

Today’s guest is Dr. Steffen Hoffmann, Managing Director of Bosch UK. Dr. Hoffmann joins Emerj Editorial Director Matthew DeMello to explore the strategic deployment of AI across industrial sectors, from manufacturing operations to internal business systems. Dr. Hoffmann shares how AI is helping manufacturers address upstream process variables to reduce defect rates and improve efficiency. He also discusses the importance of “human in the loop” oversight in regulated environments, and how Bosch’s internal deployment of generative AI — starting with an HR assistant — serves as a model for cautious, business-aligned innovation. The conversation explores industrial applications of AI governance, the role of internal use cases in de-risking new technologies, and the broader cultural conversation around balancing AI’s risks and rewards. 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!

Ethical AI Solutions and Their Impact on Life Sciences and Beyond - with Dr. Steffen Hoffmann of Bosch

What does it really take to bring AI into the heart of financial services—and why are so many firms still stuck in manual mode? In this episode of the ‘AI in Business’ podcast, Frank Hattann, Chief Commercial Officer at Ocorian, joins Emerj Editorial Director Matthew DeMello to explore how legacy financial institutions can unlock real commercial value from AI without losing the human touch. Frank draws from his unique background across Microsoft, PayPal, and professional services to explain why mindset — not just infrastructure — is the true bottleneck to transformation. From improving top-of-funnel outreach to redefining service pricing in an AI-supported world, the conversation breaks down what’s possible today and what’s at stake for firms that delay. Frank also addresses common misconceptions about AI adoption, offers tactical advice for commercial leaders, and highlights how firms can shift from reactive workflows to proactive, data-informed systems — without getting overwhelmed by technical complexity. 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 FE fundinfo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Scaling Growth in Asset Management with AI-Ready Data - with Frank Hattann of Ocorian

Today’s guest is Ryan Anderson, CEO and Founder of Filevine. Filevine is a cloud-based enterprise legal practice management platform that automates and centralizes workflows—covering case and document management, contract lifecycle, client communication, billing, e-signatures, analytics, and AI‑powered insights. Ryan joins Emerj Editorial Director Matthew DeMello on today’s show to discuss how enterprise legal teams can move from reactive to proactive operations with the help of agentic AI systems. As legal departments face unprecedented data volume and complexity, Anderson outlines a vision for AI-enabled workflows that preserve human judgment while surfacing the right insights at the right 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 Filevine. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Overcoming Compliance Challenges in Legal AI Adoption - with Ryan Anderson at Filevine

Today’s guest is Patricio La Rosa, Head of End-to-End Decision Science in Seed Production Innovation at Bayer Crop Science. Patricio joins the AI in Business podcast to explore how AI is transforming the clinical trial lifecycle, from biomarker discovery to long-term patient engagement. Drawing on his academic expertise, Patricio explains how AI-powered systems such as metagenomics, NLP, and multimodal sensing are helping researchers identify robust biomarkers and predict patient outcomes more effectively. He emphasizes the importance of reproducibility, effect traceability, and the scalability of sensing modalities from trial design to clinical practice. Patricio’s discussion with Emerj Editorial Director Matthew DeMello then shifts to the human element — how to build trust with patients, improve adherence, and balance transparency with innovation. With deep insight and clarity, Patricio challenges industry leaders to rethink clinical trials not just as scientific protocols—but as collaborative, data-driven partnerships with future customers. 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!

Enhancing Clinical Workflows and Optimizing Efficiencies - with Patricio La Rosa at Bayer

Today’s guests are Dwight Hill, Vice President of Retail & Consumer Products at Turing, and Joe Troy, Senior Manager of Site Risk at Amazon. Turing is one of the world’s fastest-growing Artificial Intelligence companies, working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that help businesses solve their toughest problems —delivering real business results, faster, smarter, and at scale. Joe and Dwight join Emerj Editorial Director Matthew DeMello to examine how generative AI is delivering measurable value in retail, starting with loss prevention and expanding across store operations, marketing, and workforce strategy. Throughout the episode, Joe shares how AI-powered video analysis and behavioral intelligence tools are helping risk teams surface anomalies faster, reduce investigation time, and prevent insider threats. In turn, Dwight discusses how retailers are using GenAI to optimize pricing, personalize customer experiences, and streamline marketing campaigns — emphasizing the importance of unified data and human-in-the-loop execution. 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 Turing. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Accelerating Retail & CPG Transformation through AI Solutions - with Dwight Hill of Turing and Joe Troy of Amazon

For decades, manufacturers have relied on traditional dashboards that often fell short when it came to understanding the complexity of real-time operations. In this episode of the ‘AI in Business’ podcast, Microsoft’s Rad Desiraju and NVIDIA’s Mike Geyer explore how AI-powered 3D digital twins and real-time simulation are transforming the way manufacturers monitor, collaborate, and optimize production environments. The conversation begins with a breakdown of how dashboards have evolved—from static displays of sensor data to immersive, simulation-based platforms driven by AI. Rad and Mike then dive into the technical backbone behind today’s most advanced digital twin solutions, including edge computing, accelerated computing, and frameworks like Azure Arc and Omniverse. This episode is sponsored by Microsoft and NVIDIA. 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!

Transforming Manufacturing with AI-Powered 3D Digital Twins and Remote Monitoring - with Rad Desiraju of Microsoft and Mike Geyer of NVIDIA

Today’s guest is Bryan Willett, Chief Information Security Officer at Lexmark, joining Emerj Senior Editor Matthew DeMello to explore how organizations can navigate the trade-offs between cloud and on-prem AI deployments—balancing speed to market, cost efficiency, and the protection of sensitive data. Bryan also emphasizes the importance of a strong governance triad—security, privacy, and AI teams working together—to ensure ethical, compliant, and effective AI adoption. From managing data surges in IoT and biometrics to creating hybrid storage strategies, he shares actionable insights for leaders in security, IT, and AI strategy. This episode is sponsored by Pure Storage. 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!

Building Storage Strategies That Scale with AI Workloads - with Bryan Willett of Lexmark

Today’s guest is Marie Flanagan, Director of Product Management in Digital Projects and Solutions at IQVIA. Marie returns to the program to unpack how AI and automation technologies are transforming drug safety workflows. Together with Emerj Editorial Director Matthew DeMello, she shares how IQVIA uses natural language processing (NLP) built on safety-specific training data to surface early signals from massive, multilingual datasets. She also explains why combining NLP with automation tools, such as RPA and OCR, leads to higher accuracy in adverse event detection, especially across social media and non-traditional data channels. 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!

Enhancing Drug Safety with AI and Automation Technologies - with Marie Flanagan of IQVIA

In order to shed more light on the growing applications of natural language processing, we speak with Vlad Sejnoha (CTO of Nuance Communications) about the current and near-term applications of NLP for voice and text across industries.
 
In this podcast interview, Vlad breaks down real-world NLP use-cases in industries like banking, healthcare, automotive, and customer service.
 
For the full article of this episode, visit:
 
 TechEmergence.com/natural-language-processing-current-applications-and-future-possibilities

Natural Language Processing - Current Applications and Future Possibilities

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