The AI in Business Podcast
A leading podcast for non-technical business leaders to learn about practical AI deployment and ROI. Emerj Artificial Intelligence Research CEO Daniel Faggella interviews top AI executives, entrepreneurs, and Fortune 500 leaders on use cases and best practices for adopting AI in the enterprise. Topics include finding AI opportunities, aligning AI with strategy, and delivering business value from AI across industries.
Scaling GenAI Without Burdening the Data Center - with Greg Ratcliff of Vertiv
In this podcast episode, Greg Ratcliff, Vertiv’s Chief Innovation Officer, explains how enterprises can scale generative AI without overloading their data centers by adopting modular, hybrid infrastructure and addressing bottlenecks in compute, storage, and networking. He highlights practical tactics such as leveraging edge‑to‑cloud data pipelines, using AI‑optimized hardware, and closing talent gaps through cross‑functional teams. Ratcliff’s perspective emphasizes a balanced, flexible approach that boosts operational efficiency while keeping infrastructure costs manageable.
CPG Data Challenges to Business Value with Agentic AI - with Jim Johnson of AnswerRocket
In this episode of the AI in Business Podcast, Jim Johnson, President of AnswerRocket, explains how consumer packaged goods (CPG) firms can tackle data complexity and speed up decision‑making using emerging agentic AI. He highlights that AI agents can shorten...
Making Microsoft Copilot and ChatGPT Enterprise Work for You - with Matt Berseth and Russell Dixon of NLP Logix
In this episode of the AI in Business podcast, Matt Berseth and Russell Dixon of NLP Logix explain how enterprise leaders can successfully adopt AI collaboration tools such as Microsoft Copilot and ChatGPT Enterprise. They outline the essential foundations for rollout, how to...
How Enterprise Industrial Leaders Are Applying AI to Systemic Manufacturing Problems - with Emily Nguyen of Palantir Technologies
In this podcast episode, Emily Nguyen, Head of Industrials and Warp Speed at Palantir, explains how large manufacturers can overcome legacy systems, siloed data, and manual processes to apply AI to systemic production challenges. She shares practical strategies for integrating...
Building an AI Ready Data Foundation for CPG Success - with Dag Liodden of Crisp
In this podcast episode, Dag Liodden, CPO of Crisp, explains how CPG companies can unlock AI value by first building an AI‑ready data foundation through data harmonization and vertical expertise. He highlights how this foundation streamlines workflows—from category and promotion...
Architecting Enterprise AI for Generative and Agentic Systems - with Ranjan Sinha of IBM
The post highlights a podcast with IBM Fellow Ranjan Sinha discussing how enterprise AI is shifting from isolated experiments to mission‑critical, agentic systems that demand robust, scalable infrastructure. He outlines IBM’s advances in specialized hardware—such as the NorthPole neuromorphic chip...
Rethinking Clinical Trial Operations with AI and Remote Monitoring - with Scott Bradley of Novartis
The post highlights a podcast episode with Scott Bradley, Novartis’ VP of AI and Innovation, discussing how artificial intelligence and remote monitoring are reshaping clinical trial design, operations, and patient engagement. Key takeaways include AI‑driven trial optimization, real‑time data collection...
Building AI-Ready Cultures in Life Sciences R&D - with Xiong Liu of Novartis
In this episode of the AI in Business podcast, Xiong Liu, Director of Data Science and AI at Novartis, discusses how generative AI and foundation models are reshaping life‑sciences R&D, from clinical workflows to collaborative research. He emphasizes the need...
Rethinking How Life Sciences Organizations Approach AI - Mathias Cousin of Deloitte
In this podcast episode, Mathias Cousin, Managing Director at Deloitte, discusses how life‑sciences firms can successfully adopt AI by focusing on high‑impact "string of pearls" use cases, investing in data quality, and hiring AI‑native talent. He emphasizes practical change‑management tactics...
Streamlining Fund Compliance with AI-Ready Data - Sandro Venturini of UBS
In this interview, UBS Executive Director Sandro Venturini discusses how AI‑ready data can streamline cross‑border fund compliance by cutting legal and business costs, aligning stakeholders, and establishing a single source of truth for fund launches. He highlights the practical benefits...
From Tool Sprawl to Defensible Value in AI for Legal - with Christo Siebrits of AbbVie
In this podcast episode, Christo Siebrits, AbbVie’s senior associate and general counsel, explains how legal teams can transition from a chaotic array of AI tools to a defensible, value‑driven AI strategy. He emphasizes safe generative‑AI adoption through human‑in‑the‑loop workflows, careful...
Enabling Strategic Procurement with AI, From Frustration to Foresight - with Rob DeSantis of Arkestro
The post highlights a podcast episode where Rob DeSantis of Arkestro explains how AI can shift procurement from a risk‑averse, tool‑limited function to a strategic, foresight‑driven capability, delivering 20‑30% cost savings that directly boost earnings per share. He argues that...
Connecting the Dots Across Discovery - with Ben Ninio of Deloitte
In this AI in Business podcast episode, Ben Ninio of Deloitte explains how enterprises are reshaping scientific discovery by using language as a unifying "hack" across R&D fields such as pharmaceuticals, agriculture, and industrial chemistry. He shows how large language...
Fixing Ticket Noise with AI in Enterprise MSP Operations - with Steve Taczala of Impact Networking
In this episode of the AI in Business Podcast, Steve Taczala, VP of Service Operations at Impact Networking, explains how AI can cut through ticket noise in enterprise MSP environments by automating intelligent routing and prioritizing actionable incidents. He outlines...
Data Volume, Quality, and Model Degradation for AI at Scale - with Sunitha Rao of Hitachi Vantara
In this interview, Sunitha Rao, SVP of Hybrid Cloud Business at Hititech Vantara, discusses how enterprises can modernize data infrastructure to handle growing data volumes while maintaining quality, and how to prevent model degradation as AI scales. She highlights the...
