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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

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

Today's guest is Raul Monroig, People Organization Vice President for the Intercon Region at Bristol Myers Squibb. Bristol Myers Squibb manufactures prescription medicines across oncology, hematology, immunology, cardiovascular disease, and neuroscience. With a truly global footprint, the company's research, manufacturing, and commercial presence spans more than 60 countries, and with such scale, of course, comes the complexity of managing a vast workforce. Raul joins Emerj Editorial Director Matthew DeMello to discuss how global HR teams can embrace AI to tackle critical challenges in workforce development. With AI adoption accelerating at breakneck speed, it may be that focusing on a small set of essential skills like curiosity, agility, and customer service orientation — rather than training employees on everything all at once — may be the paradigm shift that helps drive organisational success. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Challenges HR Leaders Face in Adopting Enterprise AI - with Raúl Monroig of Bristol Myers Squibb

Today's guest is Taylor Sullivan, Head of Product and Assessments at Workera. Workera provides AI-driven skills verification and assessment solutions for organizations. Taylor joins Emerj Editorial Director Matthew DeMello to discuss how organizations can move from skill inferencing to verified, measurable skills, enabling more confident talent decisions. Taylor also explains how AI-powered assessments can personalize learning, reduce time to proficiency, and provide leaders with actionable data to align workforce capabilities with evolving business needs. This episode is sponsored by Workera. Learn how brands are driving impact in enterprise AI through Emerj's media offerings. Find out more at emerj.com/ad. Emerj features the voices driving enterprise AI adoption. If your insights move strategy forward, share them with executive peers on the AI in Business podcast. Apply at emerj.com/expert2.

How to Leverage AI for Skill Verification - with Taylor Sullivan of Workera

Today's guest is Sachit Kamat, Chief Product Officer at Eightfold AI. Eightfold AI provides a complete AI platform for talent management to help companies find, recruit, and retain workers with the goal of increasing the efficiency and effectiveness of talent operations. Sachit joins Emerj Editorial Director Matthew DeMello to discuss how agentic AI enables HR teams to move from human-scale to machine-scale processes, rethinking how organizations identify, assess, and mobilize talent. The conversation also covers how agentic systems can enhance compliance, accelerate change management, and create measurable ROI by automating interview workflows and optimizing internal mobility. This episode is sponsored by Eightfold AI. 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!

Agentic AI and the Strategy Behind Smarter Talent Decisions - with Sachit Kamat of Eightfold AI

Today's guest is Greg Ratcliff, Chief Innovation Officer at Vertiv. With 30 years of experience leading technology teams and global innovation initiatives, Gregory offers deep expertise in data, IoT, and digital infrastructure. Ratcliff joins Emerj Editorial Director Matthew DeMello to discuss how enterprise leaders can scale AI effectively by building the right infrastructure and addressing key bottlenecks. Gregory also shares practical strategies for modular, hybrid data environments, bridging talent gaps, and improving operational efficiency across AI workflows. Join an exclusive circle of AI leaders shaping the conversation 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 partner with Emerj to share insights and reach decision-makers. Get started at emerj.com/ad1.

Scaling GenAI Without Burdening the Data Center - with Greg Ratcliff of Vertiv

Today's guest is Jim Johnson, President 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. Johnson joins Emerj Editorial Director Matthew DeMello to discuss how consumer packaged goods companies can overcome data complexity and accelerate decision-making with emerging agentic AI capabilities. The conversation also examines how CPG teams can shorten analysis cycles, reduce dependence on manual reporting, and uncover new revenue opportunities by pairing existing human expertise with continuously learning AI agents. This episode is sponsored by AnswerRocket. Interested in putting your AI product in front of household names in the Fortune 500? Connect directly with enterprise leaders at market-leading companies. Emerj can position your brand where enterprise decision-makers turn for insight, research, and guidance. Visit emerj.com/sponsor.

CPG Data Challenges to Business Value with Agentic AI - with Jim Johnson of AnswerRocket

Today's guests are Matt Berseth, Co-founder and CIO at NLP Logix, and Russell Dixon, Strategic Advisor at NLP Logix. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. Berseth and Dixon join Emerj Editorial Director Matthew DeMello to discuss how enterprise leaders can successfully deploy AI collaboration tools like ChatGPT Enterprise and Microsoft Copilot, set the right foundations for adoption, and measure ROI. They also share practical takeaways on identifying high-value use cases, tracking meaningful usage and productivity metrics, creating feedback loops to share best practices, and embedding AI tools into workflows to deliver sustained business impact. This episode is sponsored by NLP Logix. 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!

Making Microsoft Copilot and ChatGPT Enterprise Work for You - with Matt Berseth and Russell Dixon of NLP Logix

Today's guest is Emily Nguyen, Head of Industrials and Warp Speed at Palantir Technologies. Emily joins Emerj Editorial Director Matthew DeMello on the show to discuss the realities of AI adoption on the factory floor. Despite rapid advances in AI, many manufacturers still rely on legacy systems, siloed data, and even pen-and-paper processes. Emily shares insights from her 12 years at Palantir on how to bridge these gaps, connect critical functions, and build organizational readiness for AI. 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!

How Enterprise Industrial Leaders Are Applying AI to Systemic Manufacturing Problems - with Emily Nguyen of Palantir Technologies

Today's guest is Dag Liodden, Chief Product Officer and Co-founder at Crisp. Crisp combines the power of agentic AI with deep retail expertise. Over 7,000 brands leverage Crisp to manage and enrich their retail data to surface valuable insights and drive sales and supply chain performance. Dag joins Emerj Editorial Director Matthew DeMello to discuss why vertical expertise in CPG is essential for unlocking AI's potential, and how creating an AI-ready foundation through data harmonization transforms workflows – from category and promotion management to supply chain optimization. He also explains how this foundation allows teams to focus on strategic work, while AI-powered agents improve real-time performance, reduce human error, and drive measurable ROI across product portfolios. This episode is sponsored by Crisp. Discover how leading brands partner with Emerj to grow their profile and drive impact. Explore partnership opportunities at emerj.com/ad1. Share your insights, grow your profile, and join an elite circle of AI leaders. Apply to be a future' AI in Business' podcast guest at emerj.com/expert2.

Building an AI Ready Data Foundation for CPG Success - with Dag Liodden of Crisp

As agentic AI becomes a defining force in enterprise innovation, infrastructure has moved from a back-office concern to the beating heart of business transformation. On today's episode of the 'AI in Business' podcast, Ranjan Sinha, IBM Fellow, Vice President, and Chief Technology Officer for watsonx and IBM Research, joins Emerj Editorial Director Matthew DeMello to discuss the future of scalable AI infrastructure — from neuromorphic and quantum processing to open-source AI platforms built for trust and governance. Ranjan explains how enterprises are transitioning from isolated experiments to mission-critical AI applications, revealing why today's Fortune 500 leaders must reimagine compute, governance, and data pipelines to sustain automation and reliability at scale. He details IBM's breakthroughs in specialized processors, including the NorthPole neuromorphic chip and the company's roadmap for fault-tolerant quantum computing by 2029. 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! Watch Matthew and Ranjan's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

Architecting Enterprise AI for Generative and Agentic Systems - with Ranjan Sinha of IBM

We spoke with Robert Golladay, General Manager, Europe at CognitiveScale, which offers AI software that helps both wealth advisors personalize insights and identify new opportunities for clients. According to Golladay, AI is being applied to wealth management services in two areas today:
 
 Personalization: • 
Helping financial advisors identify the investment preferences of a client and provide personalized advice to a degree that was not possible before. This might involve taking into account factors such as declared, observed, and inferred information around client goals or attitude towards risk. Engagement: • 
Helping wealth advisors communicate the most relevant insights for a client at a preferred time and channel.

An Overview of AI for Wealth Management - What's Possible Today?

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