The AI in Business Podcast

As AI accelerates software development, the hardware that software runs on is still often built on a slower, separate track, and the gap shows up in what customers receive. In this episode, Kyle Larson, VP of AI Enablement and Cloud Services at IDEMIA, examines why hardware and software now need to be planned and delivered as one product. He covers how to decide what runs on the device versus in the cloud, why developer tools and simulation need to be in place before physical prototypes arrive, and how to evaluate a long-term compute platform by the ecosystem and supplier roadmap around it.
 
This episode is sponsored by MIPS.
 
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

Choosing an AI model without defining the task can leave organizations paying for capabilities they do not need or relying on tools that cannot handle the work. In this episode, Melissa Ramey, Director, AI Transformation – Data Insights and User Experience at Salesforce, joins Emerj's Yolandi de Weerdt to examine how leaders can evaluate models against the work their teams need done. She discusses testing models on everyday tasks, involving employees in workflow assessment, and revisiting performance as requirements change.
 
Learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1

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