Poddavsnitt

Stefan Zima, Head of Group Regulatory Compliance and AI Compliance at Raiffeisen Bank International AG, discusses the challenges of governing AI in highly regulated financial environments. He highlights the tension between the drive for innovation and the necessity of strict guardrails, particularly regarding data ownership, visibility, and the evolving nature of knowledge as a commodity.

A conversation exploring the necessity of technology investment for business growth and the specific application of AI in reducing operational alert noise. The discussion focuses on using AI for intelligent event grouping and Root Cause Analysis (RCA) while maintaining a "human-in-the-loop" model for accountability.

John McMullin, Head of Product Marketing and Strategy at Observe AI, discusses the gap between enterprise AI investment and measurable ROI in customer experience (CX). He emphasizes the need for operational discipline, tactical "red teams" over philosophical councils, and an iterative approach to overcome the "AI FOMO" and trust issues in automation.

Paul Kuglieta, Customer Services Director at Simply Health, discusses the implementation of agentic AI in customer service to improve response speed and personalization. He emphasizes the importance of omnichannel connectivity, rigorous user acceptance testing (UAT) using real customer phrasing, and managing the internal mindset shift among staff.

Melissa Remy, Director of AI Transformation at Salesforce, discusses the governance gap that occurs after AI agents are deployed. She emphasizes the need for organizational architecture, continuous verification, and a shift in responsibility from technical teams to the business users who understand the required output.

A discussion on the practical application of virtual cell models in drug discovery. The guests explore the distinction between virtual cells, digital twins, and foundation models, emphasizing the role of in silico experiments in informing wet lab decisions.

Muqtar Ahmed, Director of Project and Portfolio Strategy at Greenstone Biosciences, discusses the misallocation of AI investment in biopharma R&D. He argues that while the industry focuses on molecule generation, the greater value lies in using AI to synthesize fragmented data to improve capital allocation and "go/no-go" decision-making.

Tripriyan Parishu, SVP of Strategic Initiatives at Marsh, discusses the critical necessity of structuring underlying data systems before deploying AI and automation in enterprise finance. He emphasizes the importance of standardized taxonomies, data governance, and proper sequencing to avoid "garbage in, garbage out" scenarios.

Nathaniel Bell, Data Management Director at Wells Fargo, discusses the systemic barriers to AI adoption in regulated industries. He argues that fragmented data foundations and inconsistent policy interpretations are the primary bottlenecks, warning that applying agentic AI to non-standardized processes risks "industrializing bad data quality."

A conversation exploring the application of AI-driven coronary CTA analysis to improve heart disease diagnosis. The discussion focuses on the clinical benefits of quantifying non-calcified plaque, the integration of AI into physician workflows, and the business challenges regarding insurance reimbursement and the vision for preventative screening.

Stephanie Lilly, VP of Transformation for Europe at Reckitt, discusses the persistent gap between commercial planning and in-store execution in the CPG industry. She highlights the complexities of managing diverse field teams, the struggle with data quality across different retailers, and the untapped potential of store-level insights.

Nicola Lyons, Senior Director of Talent Operations at Indela, discusses the failure of traditional event-based L&D models in the age of AI. She advocates for a shift toward continuous, assessment-based learning and personalized paths to address the rapid degradation and evolution of technical skills.

A discussion on the integration of responsible AI in clinical settings, emphasizing that the clinician remains the final authority and expert. The conversation covers the operational benefits of AI in 2026, the role of C-suite governance boards, and the critical importance of trust, transparency, and HIPAA compliance.

In this episode of the Emerge AI in Business podcast, Drew Barbie, Vice President of the IP Business Unit at MIPS, explains why starting from the software workload rather than the hardware yields far better real‑time performance for AI in vehicles, robots and industrial equipment. He shares a concrete case where a motor‑control microcontroller (M8500) achieved a 3‑5× speed uplift by designing around the workload first and adding specialised real‑time features. The conversation also covers the design flow, virtual‑platform tools such as Atlas Explorer, and the role of open standards like RISC‑V in enabling specialised IP.

In this episode of the Emerge AI and Business Podcast, Vanessa Tabard, VP of Agentic Transformation and Sales Development at Salesforce, explains how her team built an AI‑driven SDR agent to capture untouched inbound leads without replacing the human closers. She describes the low‑risk entry point, the need for continuous AI coaching, and how the model can be scaled down for small sales teams with limited budgets. The conversation also covers the broader challenge of doing more with less in SMB sales development and the importance of trust in enterprise AI buying.

I avsnittet diskuterar Chris Bradley, CMO och chef för AI‑transformation på Veritive, hur agentic AI kan automatisera högvolym‑order‑entry i stora B2B‑företag. Han beskriver de praktiska hindren med legacy‑system och ERP‑patchwork, samt hur ett audit‑trail ger trygghet för helt autonoma AI‑uppdrag. Exemplet med 1,7 miljoner manuella order per år visar både affärspotential och de tekniska förändringarna som krävs.