The AI in Business Podcast
NouveauHow to Choose a Compute Platform Your Products Won't Outgrow - with Kyle Larson of IDEMIA
- Épisodes
- 1 227
- Parution
- plusieurs fois par semaine
- Dernier épisode
- 12 Nov 2026
À propos du podcast
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
Épisodes 1 227
How to Choose a Compute Platform Your Products Won't Outgrow - with Kyle Larson of IDEMIA
As AI accelerates software development, the hardware that software runs on is still often built on a slower, separate track, and the gap shows up in what customers receive. In this episode, Kyle Larson, VP of …
Notes de l’épisode
As AI accelerates software development, the hardware that software runs on is still often built on a slower, separate track, and the gap shows up in what customers receive. In this episode, Kyle Larson, VP of AI Enablement and Cloud Services at IDEMIA, examines why hardware and software now need to be planned and delivered as one product. He covers how to decide what runs on the device versus in the cloud, why developer tools and simulation need to be in place before physical prototypes arrive, and how to evaluate a long-term compute platform by the ecosystem and supplier roadmap around it. This episode is sponsored by MIPS. Learn how consultants are winning business with evidence-based AI ROI, and building long-term capabilities instead of chasing short-term gains, download our free PDF report, "3 Keys to Thriving in the Coming Era of Automation" at emerj.com/cok1What Leaders Should Scope Before Investing in an AI Model - with Melissa Ramey of Salesforce
Choosing an AI model without defining the task can leave organizations paying for capabilities they do not need or relying on tools that cannot handle the work. In this episode, Melissa Ramey, Director, AI …
Notes de l’épisode
Choosing an AI model without defining the task can leave organizations paying for capabilities they do not need or relying on tools that cannot handle the work. In this episode, Melissa Ramey, Director, AI Transformation – Data Insights and User Experience at Salesforce, joins Emerj's Yolandi de Weerdt to examine how leaders can evaluate models against the work their teams need done. She discusses testing models on everyday tasks, involving employees in workflow assessment, and revisiting performance as requirements change. Learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1Getting Pharma AI Agents to the Right Answer by Fixing the Data and Semantic Layers - with Richard Knoche of Flatiron Health
Pharma is moving toward AI agents, but agents only know the context they are given, so gaps in data and meaning turn into wrong answers at scale. In this episode, Richard Knoche, Head of Data Science and AI at …
Notes de l’épisode
Pharma is moving toward AI agents, but agents only know the context they are given, so gaps in data and meaning turn into wrong answers at scale. In this episode, Richard Knoche, Head of Data Science and AI at Flatiron Health, explains why a strong data foundation and a well-built semantic layer determine whether AI agents can be trusted with complex real-world data. He walks through how historical human analyses can be used to build and benchmark that semantic layer, why having agents resolve ambiguity before answering improves accuracy and reduces handoffs between teams, and why leaders need centralized data governance and agents that plug into any system rather than siloed, bespoke tools. This episode is sponsored by Flatiron Health Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1Building AI-Aware Controls for Enterprise Risk - with Craig Unger of Hyperproof
AI is multiplying the machine identities, unapproved tools, and vendor connections that enterprise risk teams must govern. In this episode, Craig Unger, CEO and Founder at Hyperproof, explains how AI is …
Notes de l’épisode
AI is multiplying the machine identities, unapproved tools, and vendor connections that enterprise risk teams must govern. In this episode, Craig Unger, CEO and Founder at Hyperproof, explains how AI is reshaping enterprise risk and where it can help teams manage it, from scanning for regulatory change to testing entire sets of evidence instead of samples. He also outlines practical steps for leaders: inventory where AI is running and put a governance model around it, automate continuous control monitoring, make existing controls AI-aware, and extend the same scrutiny to vendors. This episode is sponsored by Hyperproof Learn how leading organizations approach AI investment like a venture portfolio and work across teams to identify the right data. Download our free PDF report, Beginning with AI, at emerj.com/aik1How to Make AI-Translated Content Convert in Every Market - with Andrew Thomas of Acclaro
Translating content into every language a company serves has become fast and inexpensive, but accurate translation does not ensure that content engages or converts in each market. In this episode, Andrew …
Notes de l’épisode
Translating content into every language a company serves has become fast and inexpensive, but accurate translation does not ensure that content engages or converts in each market. In this episode, Andrew Thomas, Head of Marketing at Acclaro, explains why global content performance is a governance issue rather than a translation issue, and why leaders should judge localized content by the business outcome it was created to drive. He also covers testing new markets with AI-translated content before investing in local teams, building brand style guides and terminology into AI translation tools to curb shadow localization, and using automated quality checks to decide when an in-country expert needs to review content. This episode is sponsored by Acclaro AI can help you reach new markets faster, but how do you connect that investment to business results? For a broader perspective on planning your AI investments, download our free PDF report, 'Beginning with AI,' at emerj.com/aik1What It Actually Takes to Trust an AI System Running on Its Own - with Yogesh Bhagat of CVS Health
Customer-facing AI agents often stall between pilot and production, held back by governance overhead and run costs that break the business case. In this episode, Yogesh Bhagat, Vice President of Digital and …
Notes de l’épisode
Customer-facing AI agents often stall between pilot and production, held back by governance overhead and run costs that break the business case. In this episode, Yogesh Bhagat, Vice President of Digital and Technology at CVS Health, explains how autonomous agents earn the right to operate without human oversight by proving consistent, measurable behavior. He discusses validating a shared development platform instead of every agent, pairing small language models with larger judge models to control cost and latency, and giving a small group of customers the full AI experience before optimizing for containment. Learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1From Operational Insight to Agentic Industrial AI - with Vaibhav Kumar of IFS
Retiring workers can take operational knowledge with them, while difficult-to-use enterprise systems leave other information underused. In this episode, Vaibhav Kumar, Global Chief Technology Officer at IFS …
Notes de l’épisode
Retiring workers can take operational knowledge with them, while difficult-to-use enterprise systems leave other information underused. In this episode, Vaibhav Kumar, Global Chief Technology Officer at IFS, joins Emerj's Eysan Yazici to examine how conversational AI could help industrial teams capture knowledge and access business information more directly. He discusses reducing friction in enterprise software, letting users determine when agents require human involvement, and building AI literacy around systems containing meaningful business data. This episode is sponsored by IFS. Learn how leading organizations approach AI investment more like a venture portfolio, and why interdisciplinary collaboration is critical to defining the right data for AI success. Download our free PDF report, "Beginning with AI," at emerj.com/aik1Inside the Performance Constraints of Modern AI Workflows - with Cameron Bahar of Everpure
GPU clusters sit idle and budgets balloon when storage can't keep pace with how fast AI workloads are scaling. In this episode, Cameron Bahar, GM of Scale AI at Everpure, explores how storage architecture must …
Notes de l’épisode
GPU clusters sit idle and budgets balloon when storage can't keep pace with how fast AI workloads are scaling. In this episode, Cameron Bahar, GM of Scale AI at Everpure, explores how storage architecture must shift from rigid, single-purpose systems to flexible, cloud-like models built for constant change. The conversation covers the move from training to inference and agentic workloads, the case for separating metadata from data scaling, and what always-on, multi-tenant infrastructure looks like in practice. This episode is sponsored by Everpure. Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at http://emerj.com/AD1How Security Leaders Are Responding to Machine Speed Threats - with Sridhar Boddula of MassMutual
The cost and skill required to mount a serious cyberattack have collapsed, and most enterprise security programs still test on a quarterly or annual clock. In this episode, Sridhar Boddula, Head of Security …
Notes de l’épisode
The cost and skill required to mount a serious cyberattack have collapsed, and most enterprise security programs still test on a quarterly or annual clock. In this episode, Sridhar Boddula, Head of Security Platform Engineering at MassMutual, breaks down why that mismatch is now the central risk for regulated enterprises and what has to change inside a security team to close it. He covers shifting from periodic testing to continuous validation, moving security from a gatekeeping function into the engineering pipeline, and the governance-first first step leaders should take before scaling any new tooling. This episode is sponsored by XBOW. To learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at emerj.com/AD1Measuring Marketing When AI Makes the Click Disappear - with Gillian Hinkle of Salesforce
AI-generated answers can give buyers information without a website visit, complicating how marketing teams measure visibility and conversion. In this episode, Gillian Hinkle, Senior Director of Marketing …
Notes de l’épisode
AI-generated answers can give buyers information without a website visit, complicating how marketing teams measure visibility and conversion. In this episode, Gillian Hinkle, Senior Director of Marketing – Demand Gen, ABM, & Growth at Salesforce, joins Emerj's Matthew DeMello to examine how teams can adapt their content and measurement practices. She discusses evaluating content for traditional search and AI-generated answers, tracking conversion by topic, and aligning website messaging with public relations and analyst coverage. Learn how to identify real AI trends by tracking where venture funding is flowing and listening to how leading CEOs describe risk and competitive strategy. Download our free PDF report, "3 Ways to Discover AI Trends in Any Sector," at emerj.com/aitPreserving Field Service Expertise in the Age of AI - with Thomas Cottereau of Sightcall
Service organizations hold most of their critical expertise in experienced technicians rather than manuals, and that knowledge is leaving as the workforce turns over. In this episode, Thomas Cottereau, CEO and …
Notes de l’épisode
Service organizations hold most of their critical expertise in experienced technicians rather than manuals, and that knowledge is leaving as the workforce turns over. In this episode, Thomas Cottereau, CEO and Founder at SightCall, explores why the real challenge is capturing expertise rather than producing more documentation, and how AI can structure what experts already know into trusted knowledge. He outlines how to capture knowledge inside everyday service work, keep human experts reviewing what AI produces, and treat that knowledge as a continuous loop that feeds both technicians and existing AI systems. This episode is sponsored by SightCall To learn how leading AI brands like NVIDIA and Google Cloud work with Emerj to reach Fortune 500 AI buyers - download our media kit at: emerj.com/AD1Proving AI ROI in Pharma Marketing - with Kellen Winters of Novartis
Enterprise investment in AI is rising faster than the ability to prove what it returns, leaving technology and vendor spend largely unexamined until leadership asks whether it is working. In this episode …
Notes de l’épisode
Enterprise investment in AI is rising faster than the ability to prove what it returns, leaving technology and vendor spend largely unexamined until leadership asks whether it is working. In this episode, Kellen Winters, Director of Customer Success and Business Operations for AI at Novartis, examines why demonstrating AI value starts with building a measurement discipline before any tools are chosen. The conversation covers anchoring AI priorities in the processes where work stalls or drains resources, narrowing a long list of use cases to the few that can be measured, tying pilots to existing KPIs within 90 days, and using a structured intake process to track value from the first idea onward. To learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at emerj.com/AD1Designing a Technical Workforce That Adapts at the Speed of AI - with Carrol Chang of Andela
A job title no longer tells you what a technical role actually requires, now that AI has changed how the work gets done. In this episode, Carrol Chang, CEO of Andela, unpacks how AI is reshaping technical …
Notes de l’épisode
A job title no longer tells you what a technical role actually requires, now that AI has changed how the work gets done. In this episode, Carrol Chang, CEO of Andela, unpacks how AI is reshaping technical roles, and why hiring and assessment need to shift from job titles to skills. The conversation covers how leaders can assess for judgment and problem-solving rather than just technical output, and how to map a workforce for reskilling as roles continue to change. This episode is sponsored by Andela. To learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1Modernizing Enterprise GRC for Continuous Assurance - with Craig Unger of Hyperproof
Shifting regulations and siloed risk and compliance functions are forcing enterprise leaders to rethink audit-driven compliance. In this episode, Craig Unger, CEO and Founder at Hyperproof, explains why …
Notes de l’épisode
Shifting regulations and siloed risk and compliance functions are forcing enterprise leaders to rethink audit-driven compliance. In this episode, Craig Unger, CEO and Founder at Hyperproof, explains why compliance should be treated as a continuous state, with every control tied back to the organization's overall risk profile. He also covers standardizing a single set of controls across frameworks and regions, expressing risk in financial terms for boards, and using a five-stage maturity model to plan next steps. This episode is sponsored by Hyperproof Learn how leading organizations approach AI investment more like a venture portfolio, and why interdisciplinary collaboration is critical to defining the right data for AI success, download our free PDF report, "Beginning with AI," at emerj.com/aik1Building the Foundations for Scalable Industrial AI - with Jeff Witt of GE Vernova
A recommendation that's right 80% of the time sounds fine, until it's steering machinery next to a person. On the factory floor, that margin is the difference between routine and catastrophic. In this episode …
Notes de l’épisode
A recommendation that's right 80% of the time sounds fine, until it's steering machinery next to a person. On the factory floor, that margin is the difference between routine and catastrophic. In this episode, Jeff Witt, Global Process Digital Authority at GE Vernova, examines why industrial AI demands a different standard of rigor than its enterprise counterpart, from edge computing architectures to context-rich recommendations frontline workers can trust immediately. He also outlines a framework for earning the right to automate, proving a process is documented, optimized, and consistent before scaling AI across multiple sites. This episode is sponsored by Poka. Learn how to evaluate AI vendors by assessing leadership expertise, and why funding benchmarks can signal product maturity and stability. Download our free PDF report, "5 Ways to Select the Right AI Vendor," at emerj.com/aiv1 AI Content Governance Inside a Regulated Bank - with Stefan Zima of Raiffeisen Bank International AG
Financial institutions are moving fast on generative AI without a clear answer for who owns, and who is liable for, the content it produces and consumes. In this episode, Stefan Zima, Head of Group Regulatory …
Notes de l’épisode
Financial institutions are moving fast on generative AI without a clear answer for who owns, and who is liable for, the content it produces and consumes. In this episode, Stefan Zima, Head of Group Regulatory Compliance and AI Compliance at Raiffeisen Bank International AG, examines how banks can build real accountability and visibility into their AI content practices before regulators or auditors force the issue. The conversation covers cross-border data governance, third-party AI risk, and where research reports, market commentary, and training materials create the most exposure. Learn how leading AI brands like NVIDIA and Google Cloud work with Emerj to reach Fortune 500 AI buyers - download our media kit at: emerj.com/AD1Reducing Alert Noise with AI in Enterprise IT - with Dhrubojyoti Das Deb of JPMorganChase
Alert volume inside IT operations has outpaced manual triage, leaving real incidents buried in noise. In this episode, Dhrubojyoti Das Deb, SVP of Global IT at JPMorgan Chase & Co., explores how AI-driven …
Notes de l’épisode
Alert volume inside IT operations has outpaced manual triage, leaving real incidents buried in noise. In this episode, Dhrubojyoti Das Deb, SVP of Global IT at JPMorgan Chase & Co., explores how AI-driven correlation and intelligent grouping can turn thousands of alerts into a handful of actionable incidents. The conversation covers where accountability sits when AI assists in triage, how teams build trust in automation incrementally, and where leaders should start when moving from reactive firefighting to intelligent operations. This episode is sponsored by BigPanda. Learn how to build high-converting landing pages and use self-qualification systems to identify and prioritize high-intent leads. Download our free B2B AI Lead Generation Guide at emerj.com/aig1What Shared Intelligence Really Fixes in Enterprise AI - with John McMullan of Observe.ai
Enterprise CX teams have poured budget into AI, yet many still can't show measurable returns — frontline staff double-check the tools, and each new bot becomes another disconnected silo. In this episode, John …
Notes de l’épisode
Enterprise CX teams have poured budget into AI, yet many still can't show measurable returns — frontline staff double-check the tools, and each new bot becomes another disconnected silo. In this episode, John McMullan, Head of Product Marketing and Strategy at Observe.AI, joins host Yolandi de Weerdt to examine why AI adopted without operational discipline falls short, and how a shared interaction intelligence layer can carry context across AI agents, core systems, and human handoffs. McMullan outlines the practical shifts: putting frontline experts, analysts, and engineers on the build team, starting with one small workflow and learning from early failures, testing agents against simulations of real conversations, and getting data clean and connected before scaling. This episode is sponsored by Observe.AI. To learn how to spot real AI trends in any sector, download our free report, "3 Ways to Discover AI Trends in Any Sector," at emerj.com/ait1Inside the Shift Toward Smarter Automated CX - with Paul Cuglietta of Simplyhealth
A single misstep in a new customer service channel can undo months of trust-building work. In this episode, Paul Cuglietta, Customer Services Director at Simplyhealth, explores how disciplined testing …
Notes de l’épisode
A single misstep in a new customer service channel can undo months of trust-building work. In this episode, Paul Cuglietta, Customer Services Director at Simplyhealth, explores how disciplined testing, governance, and stakeholder sign-off shape agentic AI rollouts inside a regulated, high-trust environment. The conversation covers matching automation to the way customers speak across channels, building a long-term AI vision tied to company purpose, and getting buy-in through comparable case studies. This episode is sponsored by NiCE Cognigy. Learn how to structure landing pages for higher conversion, and how to use self-qualification systems to prioritize high-intent leads, download our free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig1Stop Overpaying for AI Power You Don't Need - with Melissa Ramey of Salesforce
An AI agent can function as designed yet produce results an organization cannot verify or safely use. In this episode, Melissa Ramey, Director, AI Transformation – Data Insights and User Experience at …
Notes de l’épisode
An AI agent can function as designed yet produce results an organization cannot verify or safely use. In this episode, Melissa Ramey, Director, AI Transformation – Data Insights and User Experience at Salesforce, joins Emerj's Yolandi de Weerdt to examine who owns agent behavior after deployment and why correcting individual outputs does not fix the underlying workflow. She explains how source evidence, shared definitions, and clear decision boundaries help teams govern agents before expanding their autonomy. To go deeper on AI strategy, including evidence-based AI ROI and building long-term capabilities, download Emerj's free PDF report, "3 Keys to Thriving in the Coming Era of Automation," at emerj.com/cok1Turning Biological Complexity into R&D Advantage with Virtual Cells - with Giorgio Gaglia of Sanofi & Daniel Veres of Turbine
Drug discovery teams are running short of new ideas to test, and AI models that simulate how cells respond to drugs only pay off once leaders know when those predictions can be trusted with experiments …
Notes de l’épisode
Drug discovery teams are running short of new ideas to test, and AI models that simulate how cells respond to drugs only pay off once leaders know when those predictions can be trusted with experiments, timelines, and budget. In this episode, Daniel Veres, Co-Founder and Chief Scientific Officer at Turbine, and Giorgio Gaglia, Head of Systems and Disease Biology at Sanofi, examine with host Yolandi de Weerdt how testing models on data they have never seen shows which R&D decisions their predictions can reliably inform. The discussion offers R&D leaders a practical way to judge when a model's predictions are ready to inform which experiments to run, where in the pipeline to start, and how much risk to accept. This episode is sponsored by Turbine. Learn how these conversations drive pipeline for other AI brands — download our media kit at emerj.com/AD1Where AI Should Actually Earn Its Keep in Biopharma - with Mukhtar Ahmed of Greenstone Biosciences
In biopharma R&D, AI investment has overwhelmingly targeted generating more drug candidates, even though the industry has rarely lacked for compounds worth pursuing. In this episode, Mukhtar Ahmed, Director of …
Notes de l’épisode
In biopharma R&D, AI investment has overwhelmingly targeted generating more drug candidates, even though the industry has rarely lacked for compounds worth pursuing. In this episode, Mukhtar Ahmed, Director of Project and Portfolio Strategy at Greenstone Biosciences, explores why the harder and more valuable problem is deciding which candidates deserve continued capital and attention. The conversation covers synthesizing fragmented evidence across teams, keeping human judgment and accountability in the loop, and measuring AI's impact across a portfolio rather than a single program. Emerj works with a select group of AI vendors to reach Fortune 500 decision-makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1Modernizing Finance Data for Faster and More Reliable Operations - with Ciprian Porutiu of Marsh
Finance teams face immense pressure to operate faster, but rushing to automate over fragmented systems only compounds errors downstream. Ciprian Porutiu, SVP of Strategic Initiatives at Marsh, joins host …
Notes de l’épisode
Finance teams face immense pressure to operate faster, but rushing to automate over fragmented systems only compounds errors downstream. Ciprian Porutiu, SVP of Strategic Initiatives at Marsh, joins host Yolandi de Weerdt to explain why establishing a common language and federated data domains matters far more than forcing everything into a single centralized database. He shares practical approaches for managing phased rollouts, involving cross-functional users early in system design, and connecting underlying data governance directly to strategic business performance. This episode is sponsored by Fynapse. Learn how financial institutions are digitizing paper-based records to unlock usable data for AI, and using alternative data like public web and social signals to enhance risk assessment, download our free PDF report, "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1Managing Change Across Modern Financial Operations - with Nathaniel Bell of Wells Fargo
For large banks, the barrier to AI at scale is rarely the model. It's decades of fragmented systems, inherited through mergers, acquisitions, and new products, where each team trusts its own data and no single …
Notes de l’épisode
For large banks, the barrier to AI at scale is rarely the model. It's decades of fragmented systems, inherited through mergers, acquisitions, and new products, where each team trusts its own data and no single view of context exists. Agentic AI doesn't fix that fragmentation; it amplifies it across every user and every prompt. In this episode, Nathaniel Bell, Data Management Director at Wells Fargo, joins host Yolandi de Weerdt, to examine why the real challenge for regulated institutions is scaling trust while automating, why leaders should judge new technology on the business outcome it can prove rather than the demo, and why no process should be automated before it's standardized. Bell outlines the practical shifts underway: from manual attestations and spreadsheets toward automated logs that show what happened in a workflow, from governance as document review toward governance built into workflows as code, and from buying new tools toward changing how teams work once they have them. According to Nielsen, 91% of podcast listening happens alone, indicating deep, undistracted attention — ideal for complex B2B messaging. To learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at emerj.com/AD1Transforming Cardiovascular Care — How AI-Driven Insights Unlock Value for Hospitals and Clinics - with Jim Hartman of Cleerly
Hospitals and clinics continue to face a central challenge: extensive cardiac testing still fails to deliver clear, consistent diagnostic answers, slowing decision‑making and creating downstream operational and …
Notes de l’épisode
Hospitals and clinics continue to face a central challenge: extensive cardiac testing still fails to deliver clear, consistent diagnostic answers, slowing decision‑making and creating downstream operational and financial strain. In this episode, Jim Hartman, Chief Commercial Officer at Cleerly, examines with host Marilie Fouché how AI‑driven coronary CTA analysis strengthens diagnostic certainty, streamlines workflows across radiology, cardiology, and the cath lab, and supports more defensible adoption decisions for clinical and operational leaders. The discussion highlights practical evaluation criteria — clinical impact, workflow efficiency, and financial return — that executives can use to assess whether advanced imaging technologies can be integrated and scaled within their organizations. This episode is sponsored by Cleerly. Learn how to identify AI trends by tracking where venture funding is flowing, and by listening to how leading CEOs describe risk and competitive strategy, download our free PDF report, "3 Ways to Discover AI Trends in Any Sector" at emerj.com/ait1Closing the Gap Between Commercial Plans and What Happens on the Shelf - with Stephanie Lilley of Reckitt
For consumer goods companies, the gap between the commercial plan agreed at head office and what gets executed on the shelf is one of the costliest disconnects in the business — investment goes out against …
Notes de l’épisode
For consumer goods companies, the gap between the commercial plan agreed at head office and what gets executed on the shelf is one of the costliest disconnects in the business — investment goes out against activity that never happens, and revenue never arrives against activity that does. In this episode, Stephanie Lilley, VP of Transformation for Europe at Reckitt, examines why rigid rep call cycles and fragmented store-level data keep that gap open, and where AI is starting to close it — from image recognition that verifies in-store compliance to dynamic routing that sends field teams to the stores with the highest return — with host Daniel Faggella, Emerj CEO and Head of Research. She outlines the practical shifts underway: from fixed call files toward a mix of core relationship stores and flexible, ROI-driven visits, from full-time field coverage toward crowdsourced compliance checks, and from geography as the deciding factor toward the quality and recency of store-level data. Learn how these conversations drive pipeline for AI brands — download our media kit at emerj.com/AD1Why Traditional Training Can't Keep Technical Teams Current - with Nicola Lyons of Andela
Traditional, event-based training can't keep pace with technical skills that now shift every six to twelve months. In this episode, Nicola Lyons, Senior Director of Talent Operations at Andela, breaks down …
Notes de l’épisode
Traditional, event-based training can't keep pace with technical skills that now shift every six to twelve months. In this episode, Nicola Lyons, Senior Director of Talent Operations at Andela, breaks down why assessment-based, personalized learning is replacing one-time training programs. The conversation covers how leaders can build continuous learning loops that keep technical teams current without turning into another mandatory course. This episode is sponsored by Andela. Reach VP+ leaders at America's largest enterprises through Emerj's podcasts. Emerj reaches 1 million listeners annually. Learn how AI brands use Emerj to generate leads: emerj.com/AD1Responsible Generative AI in Healthcare and What Leaders Need to Know for 2026 - with Rhett Alden of Elsevier Health
Generative AI is entering clinical workflows just as healthcare institutions grapple with black-box outputs, unclear regulation, and the need for provable accuracy. In this episode, Rhett Alden, CTO at …
Notes de l’épisode
Generative AI is entering clinical workflows just as healthcare institutions grapple with black-box outputs, unclear regulation, and the need for provable accuracy. In this episode, Rhett Alden, CTO at Elsevier, joins Emerj's Yolandi de Weerdt to articulate how claim-level validation and transparent sourcing are becoming prerequisites for clinical trust in AI. The conversation covers emerging AI governance boards modeled on clinical trial review structures, the limits of current US regulation, and why final clinical responsibility remains with the physician. Learn the strategies Emerj uses to help leading AI brands and startups connect with their ideal enterprise AI buyers: emerj.com/AD1Building AI Into Systems That Can't Afford to Be Late - with Drew Barbier of MIPS
For AI systems built into vehicles, robots, and industrial equipment, being smart isn't enough — the difference between success and failure often comes down to whether real-time performance was designed in from …
Notes de l’épisode
For AI systems built into vehicles, robots, and industrial equipment, being smart isn't enough — the difference between success and failure often comes down to whether real-time performance was designed in from the start or added on afterward. In this episode, Drew Barbier, Vice President, IP Business Unit at MIPS, breaks down why starting with the software workload, rather than the hardware, produces measurably better outcomes in real-time compute design. The conversation covers a real-world example of a three-to-five-times performance gain from workload-first design, what changes on a team's side when real-time becomes a starting requirement instead of an afterthought, and how leaders can tell within six months whether their approach is working. This episode is sponsored by MIPS. Learn how to structure landing pages for higher conversion, and how to use self-qualification systems to prioritize high-intent leads. Download our free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig1AI-Powered Revenue Operations: The Future of Sales for SMBs - with Vanessa Tabbert of Salesforce
Enterprise sales teams routinely let the majority of inbound leads go untouched simply because there isn't enough team bandwidth to work them all. In this episode, Vanessa Tabbert, VP of Agentic Transformation …
Notes de l’épisode
Enterprise sales teams routinely let the majority of inbound leads go untouched simply because there isn't enough team bandwidth to work them all. In this episode, Vanessa Tabbert, VP of Agentic Transformation and Sales Development at Salesforce, breaks down how her own team deployed an AI SDR agent to recover leads that would otherwise go cold, without replacing the humans who convert the best ones. The conversation covers how to identify a low-risk first use case, why an AI agent should be coached and measured like a team member rather than launched and left alone, and how the same approach scales down to a small SMB sales team. This episode is sponsored by Salesforce. To learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1
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