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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

A widening gap between retiring experts, manual craftsmanship, and limited process visibility is making it increasingly difficult for manufacturers to maintain consistency, prevent errors early, and onboard new operators effectively. In this episode, Sebastian Dykas, Director of Manufacturing, Engineering, and Maintenance at Smith+Nephew, joins Emerj's Marilie Fouche to examine how capturing best practices and connecting machines for real‑time data can tighten control and reduce variability across shifts. He highlights the practical moves leaders can make now — from standardizing training and strengthening process baselines to introducing data‑driven feedback loops that prevent scrap and stabilize production. This episode is sponsored by Poka. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Capturing Tribal Knowledge to Solve the Manufacturing Skills Gap - with Sebastian Dykas of Smith+Nephew

Volatility is exposing the limits of traditional scenario planning, where siloed KPIs and thin operational margins prevent enterprises from seeing how disruptions cascade across forecasting, procurement, and operations. In this episode, Dr. Gopalendu Pal, Director of Operations at Target, joins us to examine how running hundreds of interconnected simulations enables leaders to understand enterprise‑level tradeoffs and make decisions that hold up under shifting demand and supply constraints. He highlights the need to simplify and stabilize core processes so that automation and AI strengthen decision‑making rather than amplify existing operational weaknesses. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner.

Designing Supply Chains for Volatility - with Dr. Gopalendu Pal of Target

Voice-based fraud has moved from a fringe security concern to a primary operational risk for financial institutions and enterprise contact centers, and the authentication methods most organizations rely on are no longer adequate. In this episode, Ken Morino, Director of Market and Behavioral Research at Modulate, examines how enterprise leaders can deploy real-time voice intelligence to detect fraud patterns, protect customer trust, and build clear accountability structures across fraud, CX, and compliance teams. The discussion covers where to prioritize investment first, how to integrate voice AI without disrupting existing infrastructure, and why smaller specialized models outperform large general-purpose systems in regulated environments. This episode is sponsored by Modulate. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner.

Operationalizing Real-Time Voice Intelligence for FinServ and CX - with Ken Morino of Modulate

The consistency gap in enterprise AI represents a critical failure point where unpredictable system behavior outside of controlled demos threatens to derail executive sponsorship and regulatory compliance. In this episode, Amar Akshat, SVP & Chief Architect at Paysafe, examines how leaders can move beyond experimental shadow AI by embedding determinism and high-threshold guardrails directly into the production pipeline. The discussion outlines a rigorous evaluation framework centered on treating prompts as versioned intellectual property, implementing Know Your Agent (KYA) policy envelopes, and ensuring every agentic decision remains holistically auditable. Learn how brands work with Emerj and other Emerj Media options at https://go.emerj.com/partner

Building Trustworthy AI for Enterprise Workflows - with Amar Akshat of PaySafe

Legacy financial systems often trap organizations in "data swamps" where AI is mistakenly treated as a magic fix for fundamentally broken manual architectures. In this episode, Juan Orlandini, CTO of North America at Insight, outlines why senior executives must distinguish between statistical AI outputs and the mathematical precision required for financial compliance to avoid significant reporting risks. The conversation provides a roadmap for building a scalable operating layer by prioritizing data engineering and leveraging established vendor knowledge to protect long-term investment. This episode is sponsored by K1x. Learn how brands work with Emerj and other Emerj Media options at https://go.emerj.com/partner

Scaling Regulated Data Workflows Without Lock‑In - with Juan Orlandini of Insight

R&D teams are starting to advance AI capabilities faster than they can translate them into measurable business value, creating mounting friction between scientific progress and operational reality. In this episode, Aziz Nazha, Global Head of AI Innovations Institute at Incyte Pharmaceuticals, examines how culture, talent, infrastructure, and expectation‑setting determine whether AI meaningfully improves drug discovery and development. He highlights the practical shifts required — from redesigning workflows to disciplined upskilling and targeted validation cycles — to ensure AI adoption accelerates cycle times rather than getting stalled by organizational bottlenecks. This episode is sponsored by Deloitte. Learn how brands like Deloitte work with Emerj and other Emerj Media options at go.emerj.com/partner

Breaking Bottlenecks in Life Sciences R&D with AI Innovation - with Aziz Nazha of Incyte Pharmaceuticals

A recurring challenge for leaders is that the use cases they expect to automate rarely match what customers actually struggle with once large‑scale conversation data is analyzed. In this episode, Shezan Kazi, Head of AI Transformation and AI Products at Dialpad, examines how autonomous agents should take the first pass on high‑volume deterministic requests, when they must hand off to humans, and why confidence scoring and oversight models are essential for safe deployment. He highlights the practical steps leaders can take — from starting with low‑risk, high‑impact tasks to redesigning processes around real interaction data — to expand automation responsibly and improve customer outcomes over time. This episode is sponsored by Dialpad. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Scaling Customer Experience with Operationalized Agentic AI - with Shezan Kazi of Dialpad

A major shift is underway as enterprises move from lab‑ready computer vision to the far more complex reality of deploying visual intelligence across messy, variable, high‑stakes physical environments. In this episode, Joseph Nelson, Co‑founder and CEO at Roboflow, examines how dependable visual data, models tuned to real operating conditions, and integration with existing production and safety systems determine whether visual AI delivers meaningful value. He highlights the practical moves that matter most: securing consistent visibility into key processes, choosing a first deployment that proves impact, and scaling only once the operational foundations are in place. This episode is sponsored by Roboflow. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Turning Computer Vision Into Real‑World Value at Enterprise Scale – with Joseph Nelson of Roboflow

Today's guest is Aaron Demory, Senior Partner at Fearlus and Chief of Information Technology and Security at the FDIC. Fearlus is a strategic governance and risk innovation firm headquartered in Washington, D.C., founded in 2024. They offer the Fearlus Risk Operating Model, a structured approach designed to help organizations align strategy, execution, and governance through cognitive infrastructure and decision clarity. Aaron joins Emerj Editorial Director Matthew DeMello on today's show to share insight on how regulated institutions are approaching generative AI with caution and clarity, focusing on foundational governance, narrow pilot use cases, and maintaining public trust. The conversation highlights emerging best practices for evaluating large language models, implementing explainability frameworks, and balancing experimentation with accountability. If you find the episode useful, please leave us a five-star review on your preferred podcast platform. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

Making Workforce Training Affordable with Tiered Storage - with Aaron Demory of Fearlus

Operational complexity in modern distribution centers is accelerating faster than most organizations can adapt, leaving leaders with fragmented data, static facility designs, and inefficiencies that compound across planning and fulfillment. In this episode, Jerod Hamilton, Director of 3PL Warehouse Strategy at Tyson Foods, joins Emerj's Marilie Fouche to examine how disconnected forecasting and warehousing systems limit real‑time decisioning and obscure the true sources of leakage inside large‑scale operations. He highlights the need for integrated planning signals and more adaptive warehouse systems that can adjust placement and movement decisions as demand shifts, rather than weeks after inefficiencies have already taken hold. This episode is sponsored by Easy Metrics. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Scaling Regulated Data Workflows Without Lock‑In - with Juan Orlandini of Insight

Lyt når som helst, hvor som helst

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