Podcasts about emerj

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

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

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

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  

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

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, Co-Founder & COO at Unframe, unpacks why AI initiatives lose momentum on the way to production and how modular, reusable architecture changes that trajectory. The conversation covers where deployment friction actually originates, how modular AI components cut integration time from months to weeks, and what governance and auditability enterprises need before pushing AI-driven workflows live.   This episode is sponsored by Unframe. Emerj reaches 1,000,000 listeners every year. Learn how leading AI brands partner with Emerj to build credibility and generate pipeline.  Learn more about how executive conversations drive pipeline for other AI brands - download our media kit at emerj.com/AD1  

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 President of Veeam's Securiti AI Sales Engineering Team, examines how securing the data itself — through classification, labeling, and governed access — becomes the prerequisite for safely deploying AI at scale, in conversation with host Daniel Faggella, Emerj CEO and Head of Research.   This episode is sponsored by Securiti AI . Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner  

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 at Florida Crystals Corporation, examines why building operational trust in visual AI requires more than a successful pilot — and what actually determines whether a deployment becomes standard practice or stalls. The conversation covers validation and verification frameworks, the role of the feedback loop in sustaining trust, and why starting with small, demonstrable wins is more effective than reaching for enterprise-wide solutions from the outset. This episode is sponsored by Roboflow. Do you sell AI products or services? Emerj gives you access through trusted content and real conversations. 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 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 AI can shift IT operations from reactive troubleshooting to a prevention-first model built on an enterprise IT knowledge graph. The conversation covers how to build and own that knowledge graph, where human judgment still belongs in the incident response loop, and why an evolutionary rollout beats a full system overhaul. This episode is sponsored by BigPanda. Learn how brands work with Emerj and other Emerj Media options at emerj.com/partner

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 Loomis, CISO at Freshworks, examines why most enterprises have not yet resolved the tension between AI deployment speed and security maturity, and outlines a sequenced approach; beginning with regulatory compliance, advancing through data trust, and extending into AI-specific security frameworks. The conversation covers how leadership can build the investment case for AI, how culture shapes adoption outcomes, and why the biggest executive mistake is expecting returns before committing the resources that make them possible. Connect with ideal enterprise AI through the strategies Emerj employs to help leading AI brands and startups: emerj.com/AD1  

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 episode, Roanie Levy, Licensing and Legal Advisor at CCC, joins host Yolandi de Weerdt and examines how AI‑driven content use is outpacing traditional licensing frameworks and why leaders must verify rights before embedding copyrighted material into AI systems. The discussion highlights the operational decisions executives need to make around content governance, rights validation, and cross‑functional controls to prevent downstream legal and workflow disruption. This episode is sponsored by CCC. 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  

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 Prasad Mahajan, Senior Director of Customer Engagement at Optilogic, examine how leaders can adapt by tightening the gap between sensing disruption and adjusting operations, as Emerj's Daniel Faggella guides the discussion toward the implications for enterprise decision speed. They outline the practical shifts required — reassessing outdated constraints, strengthening data foundations, and using scenario analysis and human‑guided AI to evaluate operational options with greater accuracy and responsiveness. This episode is sponsored by Optilogic. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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, Felix Hoffmann, CEO at 7Learnings, examines how predictive, unified commercial decision-making replaces reactive, rules-based approaches — and why most retailers underestimate how much revenue they leave on the table by optimizing each function in isolation. The conversation covers how AI-driven demand simulation enables coordinated pricing, marketing, and reordering decisions, and which commercial use cases enterprise leaders should prioritize first to prove ROI before scaling. This episode is sponsored by 7Learnings. 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: https://go.emerj.com/partner

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 at Rainbow Apparel, explores how enterprise leaders can restructure vendor contracts to maintain exit leverage, eliminate auto-renewal traps, and use AI-enabled build alternatives as a legitimate negotiating tool. The conversation examines the cost-benefit calculus of build versus buy in the AI era, red flags in service-level agreements, and how to negotiate exits from underperforming contracts.   This episode is sponsored by UpperEdge. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 Wijpkema, Executive Vice President for Solutions and Strategy at Optilogic, joins host Marilie Fouché and examines how a dedicated, high‑compute modeling layer enables teams to run thousands of scenarios in minutes and make faster, better‑aligned decisions. The discussion highlights how leaders can strengthen resilience by unifying data foundations, building trust in modeling before a crisis, and integrating design‑grade optimization directly into planning cycles. This episode is sponsored by Optilogic. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 Statistics at Daiichi Sankyo, joins Emerj editor Yolandi de Weerdt to examine why fragmented data pipelines, not a shortage of data, are the structural root of the gap between commercial insight and field execution. The conversation covers what separates teams that successfully adopt AI from those stuck in the pilot phase, and why starting with routine, high-certainty use cases consistently produces more commercial lift than chasing ambitious automation. This episode is sponsored by ODAIA. 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

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 episode, Ravi Marwaha, Chief Operating Officer & Chief Technology Product Officer at Arango, explores how treating context as infrastructure—rather than a data pipeline problem—enables agents to reason accurately, explain their decisions, and deliver measurable outcomes across customer support, semiconductor engineering, and clinical trial site selection. The discussion covers five practical frameworks for CIOs and chief data officers on building real-time, explainable context layers on top of existing enterprise systems, without ripping and replacing current infrastructure. This episode is sponsored by Arango. To learn how to improve landing page conversion and use self-qualification systems to identify high-intent leads, download Emerj's free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig2

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 Business Transformation Services for SAP America, examines with host Nick Gersch how harmonized data, standardized processes, and clear identification of differentiating workflows form the groundwork for effective AI‑enabled ERP. He highlights the practical sequence for building this foundation so future AI‑driven adaptation becomes seamless rather than disruptive. For AI brands trying to reach senior decision-makers, podcasts are one of the few channels that earn 20+ minutes of focused attention from VP+ leaders. Emerj reaches 1,000,000 listeners annually — see how other AI brands are driving pipeline: emerj.com/AD1

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 will arrive when AI becomes a catalyst for teamwork rather than an enhancer of individual performance. The conversation examines why software development is the clearest available model for how AI will eventually reshape every business function, how the developer role is being elevated from syntax and grunt work toward architecture, security, and client judgment, why the traditional build-versus-buy decision is being replaced by a build-versus-build reality, and what it will mean when perfection in enterprise software becomes the expected standard rather than the exception. For senior leaders trying to move from supporting AI in principle to actually delivering change, Sears offers a direct and practitioner-grounded view of what needs to change in teams, in expectations, and in the way business processes are understood and redesigned. AI is moving fast — new tools, new research, new use cases every week. Emerj synthesizes what matters most, so senior leaders and practitioners can stay ahead without getting buried. Join 85,000+ subscribers and get the most useful AI business insights delivered to your inbox. Visit: http://emerj.com/ad1

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 technicians cannot fill the gap at speed. In this episode, Mike Hughes, Group Service Director at Peak International Group, outlines how service organizations can close the expertise gap through smarter knowledge capture, targeted AI deployment, and a frontline-first approach to modernization. The conversation covers remote diagnostics, first-time fix performance, the realities of working with imperfect data, and the two or three use cases leaders should prioritize before attempting a broader transformation. This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 Ganny, Author, Guest Lecturer, TEDx Speaker, and Digital Transformation Director at Procter & Gamble, joins Matthew DeMello to examine how leaders can ground AI adoption in clear business value and human-centered operational design. The discussion highlights practical considerations for evaluating AI through its impact on the company, the consumer, and the surrounding workforce community, and the executive education and policy foundations required to move from pilots to reliable enterprise deployment. 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/AD1

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 tools that work technically but fail to change how people actually work. In this episode, Wierwille examines why enterprises keep building AI because they can rather than because they understand the problem, how the shift to AI-assisted ideation has moved the bottleneck from creation to review, and why the answer is not faster shipping but sharper design clarity at the start. The conversation covers the financial advisor as a model for AI force-multiplication, why the MVP framework breaks down for genuinely novel AI experiences, how design now extends to defining the evaluation criteria for AI output, and what Wierwille calls cognitive design, the practice of thinking about how users will perceive, decide, and trust before anyone writes a line of code. This episode is sponsored by HTEC. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 episode, Jeff Witt, Digital Transformation Leader at a Fortune 500 global leader in building materials and fiberglass composites, examines the architectural, organizational, and change management decisions that determine whether a vision AI initiative reaches production and scales. The conversation covers how to build a reusable data architecture for vision data, why shifting ownership from IT to business units accelerates deployment, and what a platform mindset — versus a point solution approach — looks like in a multi-site manufacturing environment. This episode is sponsored by Roboflow. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 episode, Art Shectman, CEO and Founder at Elephant Ventures, breaks down why the instinct to evaluate everything before building anything is the primary obstacle to production, and what a realistic first step actually looks like inside a regulated enterprise. The conversation covers how to identify the right initial workflow, how to structure a time-boxed sprint toward a minimum viable production deployment, and how to present early AI wins to boards that have stopped trusting strategy decks. This episode is sponsored by Elephant Ventures. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 HTEC, examines why AI initiatives lose momentum at the production threshold and what organisational conditions determine whether they make it through. The discussion covers production slices, decision gates with kill-switch authority, use case discipline, and why top-down AI mandates tend to reproduce the same failure modes regardless of budget. This episode is sponsored by HTEC. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 Thales Group, outlines where enterprise voice channels are most exposed, why identity, urgency, and business action converging in a single call represents the highest risk point, and what a practical four-step response framework looks like for regulated organisations. The discussion covers how to map risky voice journeys, define escalation decision points, build the evidence chains auditors and cyber insurers will require, and deploy AI as a risk signal layer without automating high-risk actions beyond appropriate controls. ​ This episode is sponsored by Modulate. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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, Chief AI Officer at Eli Lilly & Company, joins Matthew DeMello to explore how Lilly's new AI supercomputing platform is reshaping scientific discovery and enterprise operations. The conversation examines how large-scale computing enables more advanced models, secure and usable data environments, and faster scientific iteration across the organization. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 the six dimensions of uncertainty CIOs now face when weighing major AI and ERP commitments, and explains why the next five years are about flexibility, not productivity. The conversation covers the case for tighter SI accountability around adaptability, the practical role of contractually-protected optionality, and the difference between performance theater and the kind of continuous learning that keeps a transformation honest. This episode is sponsored by UpperEdge. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

AI programs in financial services don't fail at the model; they fail at the seam between pilot and production, where data, integration discipline, and ownership decide whether anything reaches scale. In this episode, Jeremy Caine, Technology Strategy and Solution Leader at IBM, unpacks why banks and insurers get stuck in pilot purgatory and what an AI-native future state actually looks like in a regulated environment. The conversation covers a data product strategy that surfaces the data that matters for the use case, the industrialized software delivery lifecycle required to move AI into production, a platform-led architecture built on open foundations and automation, and the operating model shifts senior leaders need to make to convert AI investment into durable business capability. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

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, Chief Operating Officer & Chief Technology Product Officer at Arango, examines how AI breaks down when it is asked to reason across disconnected architectures that cannot supply a unified, critical context. The discussion highlights how leaders can isolate the information that drives real decisions, structure access so AI can use it at the moment of action, and establish governance as agent‑generated outcomes move into production. This episode is sponsored by Arango. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 Gnanamoorthy, Director of Corporate Strategy and AI at Ingersoll Rand, examines how manufacturers can digitize tribal knowledge, structured operational data, and decades of unstructured archives before that context disappears. The discussion covers separating data, insights, and decision-making across AI deployments; tapping messy, unstructured data without over-cleaning it; anchoring use cases to the frontline worker rather than the process; and treating every AI project as permanently in pilot mode. This episode is sponsored by Poka. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 Co-Founder at Neuron7.ai, unpacks why moving beyond basic automation requires a deterministic intelligence layer to make fragmented data ready for complex resolution decision-making. The discussion focuses on benchmarking industry performance, educating core teams on AI readiness, and establishing a data foundation that enables a transition from reactive repairs to predictive service models. This episode is sponsored by Neuron7.ai Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 of HSE International at Oxy, joins host Matthew DeMello and examines how learning from good days and leveraging existing observation data can strengthen an organization's ability to predict and prevent safety‑critical events. He highlights the practical shifts required to extend periods of stable operations, reinforce the controls most likely to fail, and align safety practices with broader business performance expectations. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

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 Officer at HTEC Group, joins Emerj's Marilie Fouché to examine how the gap between individual users, isolated use cases, and true end‑to‑end sequences prevents companies from moving beyond experimentation. He highlights the practical shifts required — smaller real deployments, tighter scopes, faster iteration cycles, and integrated expertise — to build momentum and translate AI concepts into tangible business results. This episode is sponsored by HTEC. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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 Kluwer, joins Emerj's Matthe DeMello to unpack how agentic systems adapt models to domain‑specific tasks and act directly inside regulated environments. He outlines the practical requirements for higher‑velocity automation, including tighter APIs and entitlements, stronger observability and compliance, and backend capacity that can handle machine‑driven throughput. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

Stabilizing the operational environment around underwriting judgment is the shift that enables decisions to move into the market with greater speed, consistency, and control. In this episode, Barbara Stacer, Vice President, Head of Small Commercial Underwriting and Underwriting Operations at Utica National Insurance Group, examines how governed versioning, traceable approvals, and embedded documentation close the execution gap that slows pricing changes after they leave actuarial. She outlines the practical steps leaders can take to reduce queue time, strengthen auditability, and ensure pricing updates reach production when they matter most. Learn how brands work with Emerj and other Emerj Media options at https://go.emerj.com/partner1

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

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

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

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

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

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

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

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