The AI in Business Podcast

Pharma is moving toward AI agents, but agents only know the context they are given, so gaps in data and meaning turn into wrong answers at scale. In this episode, Richard Knoche, Head of Data Science and AI at Flatiron Health, explains why a strong data foundation and a well-built semantic layer determine whether AI agents can be trusted with complex real-world data. He walks through how historical human analyses can be used to build and benchmark that semantic layer, why having agents resolve ambiguity before answering improves accuracy and reduces handoffs between teams, and why leaders need centralized data governance and agents that plug into any system rather than siloed, bespoke tools. ​ This episode is sponsored by Flatiron Health ​ Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1

AI is multiplying the machine identities, unapproved tools, and vendor connections that enterprise risk teams must govern. In this episode, Craig Unger, CEO and Founder at Hyperproof, explains how AI is reshaping enterprise risk and where it can help teams manage it, from scanning for regulatory change to testing entire sets of evidence instead of samples. He also outlines practical steps for leaders: inventory where AI is running and put a governance model around it, automate continuous control monitoring, make existing controls AI-aware, and extend the same scrutiny to vendors.   This episode is sponsored by Hyperproof ​ Learn how leading organizations approach AI investment like a venture portfolio and work across teams to identify the right data. Download our free PDF report, Beginning with AI, at emerj.com/aik1

Translating content into every language a company serves has become fast and inexpensive, but accurate translation does not ensure that content engages or converts in each market. In this episode, Andrew Thomas, Head of Marketing at Acclaro, explains why global content performance is a governance issue rather than a translation issue, and why leaders should judge localized content by the business outcome it was created to drive. He also covers testing new markets with AI-translated content before investing in local teams, building brand style guides and terminology into AI translation tools to curb shadow localization, and using automated quality checks to decide when an in-country expert needs to review content.   This episode is sponsored by Acclaro   AI can help you reach new markets faster, but how do you connect that investment to business results? For a broader perspective on planning your AI investments, download our free PDF report, 'Beginning with AI,' at emerj.com/aik1

Customer-facing AI agents often stall between pilot and production, held back by governance overhead and run costs that break the business case. In this episode, Yogesh Bhagat, Vice President of Digital and Technology at CVS Health, explains how autonomous agents earn the right to operate without human oversight by proving consistent, measurable behavior. He discusses validating a shared development platform instead of every agent, pairing small language models with larger judge models to control cost and latency, and giving a small group of customers the full AI experience before optimizing for containment. ​ Learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1

Retiring workers can take operational knowledge with them, while difficult-to-use enterprise systems leave other information underused. In this episode, Vaibhav Kumar, Global Chief Technology Officer at IFS, joins Emerj's Eysan Yazici to examine how conversational AI could help industrial teams capture knowledge and access business information more directly. He discusses reducing friction in enterprise software, letting users determine when agents require human involvement, and building AI literacy around systems containing meaningful business data.   This episode is sponsored by IFS.   Learn how leading organizations approach AI investment more like a venture portfolio, and why interdisciplinary collaboration is critical to defining the right data for AI success. Download our free PDF report, "Beginning with AI," at emerj.com/aik1