The AI in Business Podcast

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/ait

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/AD1

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/AD1

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/AD1

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/aik1

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

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/AD1

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/aig1

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/ait1

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/aig1

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/cok1

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/AD1

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/AD1

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/fcs1

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/AD1

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/ait1

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/AD1

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/AD1

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/AD1

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/aig1

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

Large B2B operations keep running order entry, invoicing, and other repetitive back-office workflows by hand, years after most companies started investing heavily in AI. In this episode, Chris Bradley, Chief Marketing Officer and Head of AI Transformation at Veritiv, breaks down why legacy systems have kept agentic AI out of these workflows, and what changed once Veritiv began automating a process handling 1.7 million orders a year. The conversation covers the audit-trail controls needed to trust an agent with an end-to-end task, how a supervising AI agent checks another agent's work, and how to pick a first automation target based on headcount concentration rather than project size. If you offer AI products or services into the enterprise, you need to find enterprise leaders with relevance and readiness. Emerj attracts VP+ enterprise audiences who are already convinced that they need to move beyond traditional IT. 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

Industrial environments run on a different set of constraints than the typical enterprise office — physical risk, standalone factory sites, and workflows where a fragmented handoff can cost time, quality, or worse. In this episode, Scot Burdette, Global CIO of Measurement & Analytics at ABB, examines why industrial AI has to be built around knowledge capture, human-in-the-loop oversight, and frontline usability, and shares how ABB's own tools are helping a retiring generation's expertise transfer to the workers replacing them, with Emerj host Marilie Fouché. He outlines the practical shift underway, from siloed, tribal knowledge toward a shared operational data layer, and from pilots that prove a concept to the design and implementation work that changes how a factory runs. This episode is sponsored by Poka. 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

Job titles routinely undercount what employees can actually do, especially in fast-moving technical roles. In this episode, Cory Hymel, Head of Research at Andela, explores why mapping skills instead of roles gives leaders a far more accurate picture of workforce capability and AI readiness. The conversation covers how continuous skills assessment, rather than one-time training, keeps pace with a technical skill half-life that's now down to two or three years. This episode is sponsored by Andela. Learn how select AI vendors reach Fortune 500 decision-makers through Emerj's research and media platforms. Download our media kit at emerj.com/AD1

A quarter of enterprise teams have gotten a single AI channel into full production — the rest are stuck somewhere behind it. In this episode, Arun Chandra, Chief Operating Officer at NiCE, explores why that gap persists and what closes it. The conversation covers getting data, knowledge, and organizational context ready for scale, building the financial case for AI investment with the CFO, and how open protocols like MCP are reshaping enterprise architecture decisions. This episode is sponsored by NiCE Cognigy. 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/aik1

The service environment is straining under rising equipment complexity and a rapidly shrinking technician workforce, making patient‑critical uptime harder to guarantee. In this episode, Michael Goldman, Senior Director of Business Operations and Transformation at Patterson Dental, examines how AI can preserve service continuity by capturing institutional knowledge, supporting technician workflows, and enabling earlier, more accurate equipment diagnostics — in conversation with host Yolandi de Weerdt. Learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at emerj.com/AD1

Enterprise engineering teams often spend more time triaging recurring incidents than building the features customers are asking for. In this episode, Dave Glick, Senior Vice President of Growth Technology at Walmart, explores how his teams are using AI agents to catch and fix small, recurring issues before they turn into support tickets. The conversation covers the internal tools Walmart built to scale this work, the governance model that keeps experimentation safe, and why closing the distance between engineers and the people using their tools speeds up every iteration. This episode is sponsored by BigPanda. If you offer AI products or services into the enterprise, you need to find enterprise leaders with relevance, and readiness. Emerj attracts VP+ enterprise audiences who are already convinced that they need to move beyond traditional IT. 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

Consolidating hardware into fewer, more capable chips looks like an unambiguous win — until the complexity those separate components used to handle resurfaces in the software binding everything back together. In this episode, Sam Grove, Head of Software and Tools Business at MIPS, examines why hardware and software teams can't keep building in sequence, and why MIPS bet its roadmap on the open RISC-V standard instead of defending a proprietary instruction set, with host Yolandi de Weerdt. The conversation also covers how tools like MIPS Atlas Explorer help engineering teams see where hardware acceleration pays off before silicon gets committed, and why the real risk in overhauling a build process is rarely the technology — it's bringing already-productive teams along with the change. This episode is sponsored by MIPS. Learn how these conversations drive pipeline for other AI brands — download our media kit at emerj.com/AD1

Enterprise leaders face a growing gap between AI ambition and the fragmented data, legacy systems, and cultural friction that prevent pilots from becoming scalable value. In this episode, Julian Tang, Chief Operations Officer for the Innovation Office at BlackRock, examines how unified data foundations, modernized infrastructure, and transparent governance enable organizations to move from reactive experimentation to intentional, enterprise‑wide AI deployment, in conversation with host Matthew DeMello. He highlights the practical shifts required to reduce friction, build trust in AI systems, and create repeatable playbooks that let teams scale responsibly and with confidence. Learn how to identify real 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/ait1

Virtual cell models promise faster, cheaper early-stage drug discovery. However, the industry still lacks a shared way to judge which of these models can actually be trusted on a given problem. In this episode, Kristóf Szalay, CTO and Co-Founder of Turbine, and Gerold Csendes, Scientist at Turbine, set out what virtual cell models can and can't do today, in conversation with host Marilie Fouché. They cover why benchmarking remains fragmented across the field, how pharma teams build confidence in a model before trusting it with real R&D decisions, and how compressing the feedback loop between experiments can cut months out of the discovery process. This episode is sponsored by Turbine. 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/AD1

The rise of non‑invasive BCIs and the privacy, security, and human‑relevance questions they introduce is becoming a central concern as this technology moves toward practical use. In this episode, Paolo Ardoino, CEO at Tether, examines how lightweight on‑device models, silent‑speech inputs, and anonymized brain‑wave data can turn low‑bandwidth neural signals into real‑world actions, in conversation with host Daniel Faggella, Emerj CEO and Head of Research. The discussion focuses on emerging consumer use cases, long‑term cognitive augmentation, and the safeguards needed to keep these systems private and safe. 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/AD1

Most retail AI pilots stall waiting on a years-long project to centralize and clean data before any agent can go live. In this episode, Chris Slovak, Global Field CTO at Unframe, makes the case for a different path: letting agents pull context directly from ERPs, CRMs, and point-of-sale systems as needed, in conversation with host Marilie Fouché. He walks through concrete results from that approach, including an inventory intelligence deployment that saved tens of thousands of dollars in time and data costs, and a deployment cycle that shrank from nine months to two weeks. This episode is sponsored by Unframe. 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/AD1

Banks can process millions of transactions an hour, yet even routine steps in financial operations still require constant human judgment to hold together. In this episode, Ajay Swamy, Senior Executive Product Director for GenAI Products and Governance at JPMorganChase, and Founder of FundLens.ai, explores why data fragmentation and manual judgment make BFSI workflows hard to run consistently, and what it takes to make AI‑driven decisions explainable enough to trust at scale. The conversation covers evaluating AI for regulated environments, building oversight into agentic systems, and treating trust as something institutions have to engineer deliberately rather than assume. This episode is sponsored by Reindeer. To go deeper on this topic and 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/fcs1

Service leaders are increasingly asked to deploy AI agents without a clear sense of what these systems can safely handle today, or where to start. In this episode, Matt Kravitz, Head of Customer Transformation for Service Cloud at Salesforce, breaks down a three-level maturity model for AI service agents — answering questions, accessing account data, and taking action — and how to sequence adoption. The conversation also covers a channel-strategy framework for deciding which support requests to deflect, route to digital-assisted support, or escalate to a live conversation, and how a business's overall service model should guide which use case to prioritize first. This episode is sponsored by Salesforce. In this episode, we cover how enterprise service leaders can sequence AI agent adoption — starting with agents that answer common questions, then adding account-data access, and finally the ability to take action on a customer's behalf. To go deeper on this topic, download our free PDF report, 'Beginning with AI,' at emerj.com/aik1

The security landscape is shifting as AI accelerates existing vulnerabilities faster than most retail enterprises can adapt. In this episode, Mark Alvarado, CISO at Academy Sports + Outdoors, examines how AI amplifies gaps in identity management, data governance, and human behavior, joining Emerj's Yolandi de Weerdt to clarify where leaders must focus before deploying AI‑enabled tools. He highlights the operational foundations that determine whether AI strengthens detection and response or simply magnifies unresolved weaknesses. Learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at emerj.com/AD1

A growing gap between device complexity and organizational knowledge is turning service reliability into an enterprise‑level risk for regulated industries. In this episode, Ryan Makely, Senior Director of CALID Service at Bruker Scientific, breaks down how fragmented documentation, rapid loss of expert judgment, and inconsistent field diagnoses undermine both operational performance and any future AI‑enabled support capability — in conversation with Emerj's Marilie Fouché. Leaders will hear practical themes around building structured knowledge foundations, reducing repeat‑visit failure cycles, and preparing service teams for scalable AI adoption. This episode is sponsored by Aquant. Learn more about how Emerj drives pipeline for other AI brands - download our media kit at emerj.com/AD1

Industrial AI is forcing leaders to confront a fundamental gap between digital systems built for offices and the high‑risk, real‑time demands of the factory floor. In this episode, Antoine Bisson, CEO & Co‑founder at Poka, joins host Marilie Fouché and dissects why industrial environments require contextual data, strict governance, and human‑validated autonomy to safely scale AI‑driven operations. The conversation surfaces practical considerations for executives, from structuring governance and standardizing workflows to determining where autonomous agents can responsibly support frontline teams. This episode is sponsored by Poka. Learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1

AI is generating code and surfacing vulnerabilities faster than security teams can review them, compressing the time between a vulnerability discovery and its exploitation. In this episode, Niro Rajadurai, Chief Revenue Officer at XBOW, examines how autonomous offensive security can match that pace, in conversation with host Marilie Fouché. He discusses why distinguishing exploitable vulnerabilities from false positives is critical at scale, how pairing multiple AI models improves results without costly retraining, and why governance has to be built into automated security systems from day one. This episode is sponsored by XBOW. 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/AD1

Pharma organizations are generating more clinical and scientific evidence than ever, yet the path from that evidence to a confident strategic call hasn't kept up. In this episode, Nabil Khan, Medical Director for Internal Medicine Antivirals at Pfizer, digs into where AI genuinely helps medical affairs and clinical teams move faster from raw data to decisions, in conversation with host Yolandi de Weerdt. He lays out the risk of treating AI output as fact rather than a starting point, why training is the piece organizations most often shortchange, and what it realistically takes to build a foundation AI can be trusted to work from. 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/AD1

Industrial service teams are facing two compounding pressures at once: decades of hands-on expertise walking out the door through retirement, and the equipment itself growing more complex to diagnose and maintain. In this episode, Scot Burdette, Global Division CIO at ABB, unpacks how remote diagnostics and AI-driven insights are reshaping who does the work of keeping industrial equipment running, in conversation with host Yolandi de Weerdt. He outlines how leaders can prioritize the most critical processes first, build the data discipline needed to support predictive maintenance, and transfer expertise before it's lost rather than after. This episode is sponsored by Aquant. 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/AD1

As AI agents move from pilots into live financial workflows, most institutions still can't answer a basic question: who authorized this action, and what evidence backs it up? In this episode, Shahir Daya, Chief Product & Technology Officer at Zafin, examines why uniform governance policies fail at scale and what a tiered, control-tower approach to agent oversight looks like in practice. The conversation covers execution-layer governance, cost visibility across models, and the shift required to move agentic work from promising pilot to defensible production. This episode is sponsored by Zafin. Learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers: visit emerj.com/AD1

A persistent gap remains between what modern manufacturing technology makes possible and how day‑to‑day work is still executed, with paper workflows, limited machine visibility, and siloed data preventing real operational control. In this episode, Sebastian Dykas, Director of Manufacturing, Engineering, and Maintenance at Smith+Nephew, examines with host Marilie Fouché how tighter data capture and connected systems can move leaders toward real‑time process control and reduced variability. The discussion highlights practical shifts in measurement, machine connectivity, and automation that help teams stabilize output and build more reliable, digitally enabled operations. Learn how leading organizations define the right data — and why cross‑functional collaboration is essential to getting it right. Download our free PDF report, "Beginning with AI," at emerj.com/aik1

Experienced field engineers are retiring or moving on faster than ever, and the troubleshooting knowledge they carry rarely makes it into a manual before they go. In this episode, Deniz Mullis, Senior Director of Global Technical Operations at Cytiva, examines why closing that knowledge gap takes daily feedback loops, cleaner documentation, and technician trust. Deniz joins Emerj's Yolandi de Weerdt to walk through what breaks first during a rollout, how her team builds confidence in AI-assisted guidance, and what has to be true inside a service organization before an AI investment can pay off. This episode is sponsored by Aquant. 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/cok1

The pace of modern IT operations is collapsing under the volume of alerts and the slow speed at which teams can contextualize data during active incidents. In this episode, Luke Rotta, Director of Site Reliability Engineering at Charles Schwab, examines how fragmented tooling, slow triage, and human‑driven workflows create persistent drag on response speed in conversation with host Yolandi de Weerdt, and why AI‑driven pattern recognition and automation meaningfully change that equation. He highlights how leaders can reduce operational noise, build trust in automation through simulation, and sequence high‑volume workflows to move teams from reactive firefighting toward more intelligent, reliable operations. This episode is sponsored by BigPanda. 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/AD1

Financial institutions are pushing agentic AI past pilot mode and into document-heavy, regulated workflows like AML alerts and account closures, but many leaders still lack a clear model for where automation should run freely and where human judgment has to stay in the loop. In this episode, Yoav Naveh, Co-Founder and Co-CEO at Reindeer AI, examines how banks are structuring agent oversight so automation earns trust incrementally instead of replacing compliance teams outright. The conversation covers how to identify workflows ready for agentic AI, what signals show an agent is learning rather than failing, and how public and historical data can strengthen both compliance decisions and customer retention. This episode is sponsored by Reindeer AI. Learn how financial institutions are digitizing paper-based records to unlock usable data for AI, and using alternative data to enhance risk assessment, download our free PDF report, "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1