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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 Rommel Ong, Regional Service Director at Belimed. Belimed provides sterilization and infection control solutions for healthcare facilities. Rommel joins Emerj Editorial Director Matthew DeMello to explore how data and AI address field service challenges like staffing shortages, paperwork burdens, and capturing tribal knowledge from veteran technicians. Rommel also shares practical takeaways, such as using chat systems to search for error codes and share solutions across teams, net promoter scores for tracking customer sentiment, and remote equipment monitoring to predict issues, reduce on-site visits, and enable proactive service efficiencies. 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!

Workforce Solutions for Field Services with AI - with Rommel Ong of Belimed

Today's guest is Thomas Holmes, Chief Actuary for North America at Akur8. Holmes focuses on how actuarial teams can modernize pricing and reserving with automation and AI while maintaining governance and actuarial soundness. Thomas joins Emerj Editorial Director Matthew DeMello to discuss why pricing and reserving modernization is hard to execute in practice, and how insurers can adopt AI with the governance and explainability actuarial teams require. The conversation also covers starting with a clear problem statement, avoiding generic "bolt-on" AI approaches, and targeting small wins that deliver measurable workflow and cycle-time improvements. 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 Akur8. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Modernizing Insurance Pricing From Excel to Explainable AI - Thomas Holmes of Akur8

Today's guest is Prukalpa Sankar, Co-Founder & CEO at Atlan. Atlan is a metadata platform delivering data and AI governance. Combining enterprise data with AI infrastructure with business context and security, Atlan allows humans and AI agents to find, trust, and govern data across the entire enterprise. Prukalpa joins Emerj Editorial Director Matthew DeMello to unpack why so many enterprise AI pilots still fail in production — and why solving for context rather than just data volume or model complexity is becoming the decisive factor. The conversation also highlights how leading enterprises are closing this context gap and what "context readiness" means for any organisation aiming to operationalise AI in 2026. 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 Atlan.

How Open Context Layers Help Enterprises Build, Govern, & Scale Agentic AI - with Prukalpa Sankar of Atlan

Today's guest is Vaithi Bharath, Associate Director of Data Science & AI Solutions at Bayer. Bharath joins Emerj Editorial Director Matthew DeMello to break down why clinical R&D timelines often slip for reasons that have little to do with model performance. Rather, delays compound when data moves across fragmented systems, teams rely on slow handoffs, and validation requirements turn minor adjustments into major cycle-time hits. He walks through where decision-making slows from data capture through database lock, and what it takes to accelerate workflows without replacing a validated environment. 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 AnswerRocket.

Reducing R&D Cycle Time in Pharma Without Increasing Regulatory Risk - with Vaithi Bharath of Bayer

Today's guest is Tami Craig Schilling, Vice President of Agronomic Digital Innovation at Bayer Crop Science. Tami brings decades of expertise in agricultural sales, R&D, and digital tools for farmer support. Tami joins Emerj Editorial Director Matthew DeMello to explore how generative AI delivers localized recommendations across the plan-plant-grow-harvest cycle amid variable soil, practices, and weather conditions. Tami also shares practical takeaways like using zip code-based tools such as ELI for prompting that triangulates genetics, environment, and pests—augmenting human expertise with precise agronomy advice, prompt guides for optimal outputs, and scale-neutral support from commercial to smallholder farmers. 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!

Data Solutions for Tailoring Agronomic Support to Meet Regional Needs - with Tami Craig Schilling of Bayer Crop Science

Today's guest is Baker Johnson, Chief Business Officer at UJET. UJET is a next-generation cloud contact center platform that leverages AI to modernize the customer experience. Baker joins Emerj Editorial Director Matthew DeMello to explain why conversational and agentic AI often fall short in CX, and how legacy processes and fragmented data prevent meaningful results. Baker also offers practical steps for improving ROI — from redesigning workflows before automating them to aligning real-time interaction data with systems of record and building a healthier balance between human and AI agents. 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 UJET.

Why Agentic and Conversational AI Products Are Not What CX Leaders Think - with Baker Johnson of UJET

Today's guest is Sandro Venturini, Executive Director at UBS Asset Management Switzerland. Sandro brings deep expertise in fund structuring, cross-border launches, and data integration for financial services. Sandro joins Emerj Editorial Director Matthew DeMello to explore how fragmented fund data creates silos in mergers and launches, and how a single source of truth enables AI to streamline compliance and reporting. Sandro also shares practical takeaways, such as using AI to anticipate stakeholder concerns from term sheets, generate draft prospectuses that slash legal fees and formation costs, and customize investor reporting to reduce manual errors across share classes. Just a quick note for our audience that the views expressed by Sandro Venturini on today's program do not reflect those of UBS or its leadership. 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 Post-Merger Integrations Fail Without Data Governance - Sandro Venturini of UBS

Today's guest is Kuo Zhang, President of Alibaba.com. Alibaba.com is a global B2B marketplace connecting small and mid-sized businesses with manufacturers and suppliers worldwide. Kuo joins Emerj Editorial Director Matthew DeMello for an exclusive interview following his keynote address at this year's CoCreate event in Las Vegas to discuss how agentic AI is lowering barriers to global sourcing, transforming procurement workflows, and reshaping how organizations of all sizes move from product idea to execution. Kuo also breaks down the practical efficiencies emerging from AI-driven automation—from reducing manual supplier communication to streamlining global transactions and trade assurance—and explains where enterprises are already seeing measurable ROI through faster cycle times, expanded sourcing options, and increased operational resilience. You can read an article analysis of today's conversation, originally published on Emerj.com, here. 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 Matt and Kuo's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

Scaling Enterprise Productivity Through Agentic AI and Workflow Automation - with Kuo Zhang of Alibaba.com

Today's guest is Nina Edwards, Vice President of Emerging Technology and Innovation at Prudential Insurance. With decades of experience driving strategy, innovation, and AI-enabled growth at leading financial and consulting firms, Nina brings deep expertise in applied intelligence and emerging technology.​​ Nina joins Emerj Editorial Director Matthew DeMello to unpack why 95% of AI pilots fail to deliver enterprise value and reveal strategies for translating productivity gains into measurable ROI by ditching pre-AI metrics.​ Nina also shares practical takeaways, including protected sandboxes that slash approval cycles from months to days, unified KPI glossaries standardizing cycle time and exception rates, outcome charters targeting business value, and human-centered operating models shifting teams from doing to deciding to scale pilots enterprise-wide. This episode is sponsored by Moody's. 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!

Rewiring Systems to Scale AI From Demos to Deliverables - Nina Edwards of Prudential Insurance

Today's guest is Robert Wenier, Global Head of Cloud and Infrastructure at AstraZeneca. Robert leads enterprise cloud, infrastructure, and platform strategy across a highly regulated, data-intensive global organization. Robert joins Emerj CEO and Head of Research Daniel Faggella to discuss how enterprise data and AI architectures are shifting from service-oriented and microservice models toward emerging agentic architectures that prioritize end-to-end business outcomes over stepwise technical execution. The conversation explores why AI is moving from a supporting role to a direct driver of competitive advantage, and how this changes expectations for infrastructure, data strategy, and leadership ownership. 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 Daniel and Robert's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

Accelerating Speed to Value through Agentic Systems and Intelligent Automation in Life Sciences - with Robert Wenier of AstraZeneca

In this episode of AI in industry, Innoplexus CEO Gunjan Bhardwaj explores how pharma giants are working to overcome two critical challenges with AI: Data, and talent.
 
Pharmaceutical data is challenging because the same term (say "EGFR") might be referred to as a "protein", a "biomarker", or a "target". Gunjan explores how this kind of relevance and context for data - and how pharma companies may need to hire the talent issues involved with making life sciences and computer sciences teams work together productively.
 
See the full interview article online at:
 
 techemergence.com/overcoming-data-talent-challenges-ai-life-sciences

Overcoming the Data and Talent Challenges of AI in Life Sciences

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