Podcasts · Technology · Business
The AI in Business Podcast
Daniel Faggella
300 episodes
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.
More about the show
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
Episodes page 2 of 6
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Agentic CRM for SMB Automation - with Sharif Karmally of Salesforce
CRM is shifting from a static repository to the core system that supplies the real‑time customer context required for dependable AI‑driven work. In this episode, Sharif Karmally, VP of SMB Product Marketing at…
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AI Deployment at Retail Speed - with Larissa Schneider of Unframe
Most enterprise AI pilots don't stall because the underlying models fail — they stall once real production stakes, fragmented systems, and unclear ownership enter the picture. In this episode, Larissa Schneider,…
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Models, Infrastructure, and Enterprise Readiness for Agentic AI - with Alex Tyrrell of Wolters Kluwer
Infrastructure readiness has become the real bottleneck for agentic AI in healthcare, as enterprises confront the shift from systems that generate content to systems that execute tasks across complex, regulated…
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The Mobile Security Imperative for Regulated Industries - with Tom Tovar of Appdome
Mobile app attackers already operate at machine speed, but most enterprise cyber functions still rely on manual, human-paced patch cycles to keep up. In this episode, Tom Tovar, Co-Creator at Appdome, examines how…
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Preparing Enterprise Data for Safe AI Deployment - with Todd Vancil of Securiti AI
A surge in AI adoption is forcing enterprises to expose sensitive data to new systems and access paths, creating security risks that traditional perimeter models can't contain. In this episode, Todd Vancil, Vice…
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AI Assistants and Preparedness Among Enterprises - with Chris Caldwell of Concentrix
Enterprises rushing agentic AI into production are running it through approval gates, batch windows, and audit systems built for human speed — and the gap is where most operational risk lives. In this episode, Chris…
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How Enterprise Leaders Are Building Their Agentic AI Strategy - with Matt Renner of Google Cloud
Legacy enterprises are facing a decisive shift from stalled pilots and fragmented data toward agentic systems that reshape customer experience, operations, and net‑new revenue. Matt Renner, President and Chief Revenue…
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How AI Is Transforming Governance and Workflow Automation in the Enterprise - with Tsavo Knott of Pieces
The rapid expansion of AI‑driven knowledge work is exposing a growing tension: teams are moving faster across more surface areas, but their context is fragmented across tools, personal systems, and ad‑hoc workflows. In…
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Making Visual AI Standard Practice in Complex Manufacturing - with Brian Ton of Florida Crystals Corporation
Visual AI gets stuck not because the technology fails, but because enterprises cannot move it from controlled environments into the variability of daily operations. In this episode, Brian Ton, Senior Laboratory Manager…
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AI, Evolution, and the Future of Human-Centered Farming and Manufacturing - with Kun He of Bayer
A growing reliance on data‑driven systems is creating tension for enterprise leaders between operational efficiency and the human judgment required for high‑risk, high‑reward decisions. In this episode, Kun He, Lead…
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Reengineering Work with Intelligent Agents - with Debanjan Saha of DataRobot
A growing share of enterprise work now depends on systems that can support both human and AI agents, exposing bottlenecks in coordination, governance, and cross‑functional process design. In this episode, Debanjan…
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Inside the Shift to Agentic IT Ops - with Assaf Resnick of BigPanda
Enterprise IT teams are drowning in alert volume as cloud, microservices, and CI/CD pipelines outpace what human operators can process. In this episode, Assaf Resnick, CEO and Founder at BigPanda, examines how agentic…
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Managing AI Agents at Scale Across BFSI Operations - with Yoav Naveh of Reindeer AI
As financial institutions move beyond AI experimentation, the primary bottleneck is no longer capability; it is governance. In this episode, Yoav Naveh, Co-Founder and Co-CEO at Reindeer AI, examines how enterprises…
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Why Data‑Driven Efforts Stall in Fragmented Environments - with Jason Loomis of Freshworks
Enterprise AI adoption is moving faster than security and governance frameworks can follow, forcing organizations to make difficult trade-offs between competitive urgency and operational risk. In this episode, Jason…
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From Connected Agents to Collective Intelligence with Guillaume De Saint Marc of Outshift by Cisco
As enterprises move from single to multi-agent AI deployments, a coordination infrastructure problem is emerging that connectivity protocols alone cannot solve. In this episode, Guillaume de Saint Marc, VP of…
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Building Compute Foundations for the Physical Economy - with Drew Henry of ARM
A widening gap between mature digital compute and the newly awakening physical world is forcing enterprises to rethink how they embed AI into logistics, manufacturing, and other high‑stakes environments where errors…
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AI Copyright Risk in Financial Services and the Limits of Legacy Licensing - with Roanie Levy of CCC
A surge in AI adoption is creating a rights gap inside financial institutions, where everyday workflows now generate copyrighted reproductions at a scale existing governance models were never built to manage. In this…
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How Financial Services Leaders Operationalize Safe AI - with Dr. Oscar A. Rodriguez of Citi
The rapid expansion of AI in financial services is creating a widening gap between enterprise ambition and the operational readiness required to deploy systems that are secure, compliant, and trusted. In this episode,…
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Closing the Decision Gap in Volatile Supply Chains - with Prasad Mahajan of Optilogic and Dr. Gopalendu Pal of Target
Supply chains are moving from predictable planning cycles to a reality where volatility demands continuous redesign and faster decision‑making. In this episode, Dr. Gopalendu Pal, Director of Operations at Target, and…
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Why AI in Document-Heavy Workflows Fails Without the Right Foundation - with Sumedh Chaudhary of IBM
Enterprise AI initiatives consistently break down in document-heavy environments, not because the underlying models are inadequate, but because fragmented data silos, page-break context loss, and uncoordinated…
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AI-Empowered Customer Service, From Hype to Scalable Operations - with Shri Nandan of Comcast
Significant enterprise investment in AI-driven customer service is producing inconsistent outcomes — and the gap between deployment ambition and measurable business value remains striking. In this episode, Shri Nandan,…
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Unified Predictive Decision Making for Retail Growth - with Felix Hoffmann of 7Learnings
Retailers managing pricing, marketing, and inventory through separate teams with separate data are losing margin not to market volatility, but to decisions that were never designed to work together. In this episode,…
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How Commerce Leaders Avoid Renewal Traps and Vendor Drag - with David Cost of Rainbow Apparel
Enterprise software costs are rising while vendor performance often isn't, and AI has fundamentally changed what enterprises can credibly threaten to build in-house. In this episode, David Cost, Chief Digital Officer…
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Moving from Delayed Data to Event-Level Visibility - with Alex Curran of Aptitude Software
Finance teams are being asked to influence outcomes in real time while operating on architectures built for delayed, aggregated, and heavily reconciled data. In this episode, Alex Curran, CEO at Aptitude Software,…
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Scaling Agentic AI in CX Without Losing the Customer - with Shri Nandan of Comcast
As enterprises move agentic AI from controlled pilots into production customer-facing workflows, the gaps in data continuity, governance, and human-agent coordination become the deciding factors in whether AI scales or…
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How Vertical AI Achieves Defensible Accuracy - with Steve Hasker of Thomson Reuters
The rising use of general‑purpose models in regulated environments is creating a widening gap between what AI can generate and what fiduciary professionals can safely rely on. In this episode, Steve Hasker, CEO at…
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Fixing the Decision Speed Gap in Modern Supply Chains - with Joris Wijpkema of Optilogic
Supply chain organizations still struggle to respond to major disruptions because their core planning systems can't evaluate structural options or network‑level changes at the speed required. In this episode, Joris…
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How Enterprise Leaders Should Measure the ROI of AI - with Darko Todorovic of HTEC
Enterprise AI investments frequently succeed at the pilot stage and collapse at scale, not because the technology fails, but because the organizational conditions for adoption were never established. In this episode,…
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Modernizing Targeting to Close the Field Execution Gap - with Damion Nero of Daiichi Sankyo
Pharma commercial teams are generating more data than ever, but field intelligence is still arriving too late to change rep behavior before the engagement window closes. In this episode, Damion Nero, Global Head of…
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How Unified Context Turns AI Into Real Enterprise Performance - with Ravi Marwaha of Arango
Enterprise AI agents fail consistently in production, not because of model limitations, but because they lack a live, temporally aware context layer grounded in the actual current state of the business. In this…
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AI Models as a Commodity and Why Data Foundations Decide Who Wins - with Guillermo B. Vazquez of SAP
Enterprise leaders face a growing gap between rapid AI advancement and the fragmented data and processes that limit their ability to operationalize it. In this episode, Guillermo Vazquez, Chief Architect in the…
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From Overwhelm to Working AI in Pharma and Life Sciences - with Art Shectman of Elephant Ventures
Regulatory volatility, scientific‑grade context requirements, and entrenched legacy processes are creating a level of operational complexity in pharma that makes even high‑value AI initiatives difficult to move from…
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How AI Is Reshaping the Way Enterprises Build Software - With Tim Sears of HTEC
Individual AI productivity gains are already here, but they are uneven, and they are not the main event. In this episode, Tim Sears, Chief AI Officer at HTEC, argues that the real transformation in software development…
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How Industrial Service Leaders Are Closing the Knowledge Gap Before It's Too Late with Mike Hughes of Peak International Group
The skilled labor crisis in industrial equipment service is not a future problem; it is eroding operational performance now, as retiring engineers take decades of institutional knowledge with them and incoming…
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Human-Centered AI Development Strategies for CPG Leaders - with Shaje Ganny of Procter & Gamble
A widening gap has emerged between the speed of AI innovation and the ability of large enterprises to deploy it responsibly, leading many organizations to repeat avoidable mistakes in scaling. In this episode, Shaje…
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The Pricing Shift Reshaping Enterprise AI Spend - with Adam Mansfield of UpperEdge
The rapid shift from seat‑based licensing to hybrid and consumption‑based AI pricing has made technology spend significantly harder for enterprises to predict and control. In this episode, Adam Mansfield, Practice…
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Why the Way AI Feels Is as Important as How It Works - with Carsten Wierwille of HTEC
Enterprise AI initiatives treat design as a finishing step. Carsten Wierwille, Chief Product & Design Officer at HTEC, argues that this is a strategic mistake, and one that explains why so many AI investments produce…
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How Vision AI Scales Across a Manufacturing Network - with Jeff Witt
Computer vision implementations in manufacturing never advance beyond the pilot phase — not because the technology fails, but because deployment is treated as a software problem rather than an operational one. In this…
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AI Improving Dose Decisions and Patient Outcomes in Oncology- with Shefali Kakar of Novartis
The growing use of AI‑driven modeling in clinical development is exposing how limited traditional, single‑study dose selection and patient assessment methods have been for complex oncology programs. In this episode,…
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Breaking Free from AI Overwhelm in Banking and Financial Services - with Art Shectman of Elephant Ventures
The pressure on financial services AI leaders to show board-level results has intensified — yet the pace of vendor pitches, shifting tooling stacks, and stalled pilots has made action feel riskier than waiting. In this…
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Fixing the Pilot‑to‑Production Gap in Enterprise AI - with Ronny Fehling of HTEC
The reason enterprise AI programmes stall is not the technology — it is the sequence in which decisions are made before and after the pilot succeeds. In this episode, Ronny Fehling, Chief AI Transformation Officer at…
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Why Deepfake Fraud Beats Your Workflows, Not Your Technology - with Jon-Rav Shende of Thales Group
Deepfake voice fraud is not bypassing enterprise security technology, it is beating the workflows agents rely on to make trust decisions in real time. In this episode, Jon-Rav Shende, Global CTO for Data and AI at…
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Scaling Scientific R&D with AI Supercomputing Infrastructure — with Thomas Fuchs of Eli Lilly
A growing share of pharmaceutical innovation is now constrained not by scientific imagination, but by the infrastructure required to support AI at scale. In this episode of the AI in Business podcast, Thomas Fuchs,…
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The Hidden Risk in Every Enterprise AI Vendor Contract - with John Belden of UpperEdge
Boards are pushing CIOs to commit to AI strategies built on contracts written for an entirely different era of enterprise software. In this episode, John Belden, Chief of Research and Strategy at UpperEdge, breaks down…
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The Architecture Shift Behind Reliable Enterprise AI - with Ravi Marwaha of Arango
Context defines accurate, reliable AI decision‑making, forcing enterprises to confront the fragmentation that prevents systems from accessing the information those decisions depend on. In this episode, Ravi Marwaha,…
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Why Manufacturing's Most Valuable Data Isn't in Any System — with Anand Gnanamoorthy of Ingersoll Rand
A significant share of manufacturing knowledge still lives in the heads of retiring workers, and the window to capture it is closing as operations push toward AI-enabled ways of working. In this episode, Anand…
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Why Predictive AI in Service Only Works on the Right Foundation - with Niken Patel of Neuron7.ai
Enterprise service leaders are realizing that deploying AI for simple productivity gains fails to resolve the underlying issues that cause repeat truck rolls and high costs. In this episode, Niken Patel, CEO and…
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Building Predictive Safety Systems in Energy Operations - with Patricio Rivera of Oxy
Energy organizations have made progress in safety, but most still rely on backward‑looking investigations rather than systems that anticipate when risk is rising. In this episode, Patricio Rivera, Former Vice President…
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What Enterprise AI Looks Like When It's Real - with Lawrence Whittle of HTEC Group
AI enthusiasm has outpaced enterprise readiness, leaving many organizations stuck with pilots that work in the lab but fail to deliver meaningful value in production. In this episode, Lawrence Whittle, Chief Strategy…
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From Experimentation to Clinical-grade AI in Healthcare - with Alex Tyrrell of Wolters Kluwer
Agentic AI is running into a hard limit: most enterprise systems, security layers, and operational backends aren't yet built to support automated execution at scale. Alex Tyrrel, SVP and CTO of Health at Wolters…
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