The AI in Business Podcast

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

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 ​

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

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

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

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

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

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

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

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

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

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

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