The AI in Business Podcast

GPU clusters sit idle and budgets balloon when storage can't keep pace with how fast AI workloads are scaling. In this episode, Cameron Bahar, GM of Scale AI at Everpure, explores how storage architecture must shift from rigid, single-purpose systems to flexible, cloud-like models built for constant change. The conversation covers the move from training to inference and agentic workloads, the case for separating metadata from data scaling, and what always-on, multi-tenant infrastructure looks like in practice.
 
This episode is sponsored by Everpure.
 
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

The cost and skill required to mount a serious cyberattack have collapsed, and most enterprise security programs still test on a quarterly or annual clock. In this episode, Sridhar Boddula, Head of Security Platform Engineering at MassMutual, breaks down why that mismatch is now the central risk for regulated enterprises and what has to change inside a security team to close it. He covers shifting from periodic testing to continuous validation, moving security from a gatekeeping function into the engineering pipeline, and the governance-first first step leaders should take before scaling any new tooling.


This episode is sponsored by XBOW.


To learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at emerj.com/AD1

AI-generated answers can give buyers information without a website visit, complicating how marketing teams measure visibility and conversion. In this episode, Gillian Hinkle, Senior Director of Marketing – Demand Gen, ABM, & Growth at Salesforce, joins Emerj's Matthew DeMello to examine how teams can adapt their content and measurement practices. She discusses evaluating content for traditional search and AI-generated answers, tracking conversion by topic, and aligning website messaging with public relations and analyst coverage.
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Learn how to identify real AI trends by tracking where venture funding is flowing and 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/ait

Service organizations hold most of their critical expertise in experienced technicians rather than manuals, and that knowledge is leaving as the workforce turns over. In this episode, Thomas Cottereau, CEO and Founder at SightCall, explores why the real challenge is capturing expertise rather than producing more documentation, and how AI can structure what experts already know into trusted knowledge. He outlines how to capture knowledge inside everyday service work, keep human experts reviewing what AI produces, and treat that knowledge as a continuous loop that feeds both technicians and existing AI systems.
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This episode is sponsored by SightCall
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To 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 investment in AI is rising faster than the ability to prove what it returns, leaving technology and vendor spend largely unexamined until leadership asks whether it is working. In this episode, Kellen Winters, Director of Customer Success and Business Operations for AI at Novartis, examines why demonstrating AI value starts with building a measurement discipline before any tools are chosen. The conversation covers anchoring AI priorities in the processes where work stalls or drains resources, narrowing a long list of use cases to the few that can be measured, tying pilots to existing KPIs within 90 days, and using a structured intake process to track value from the first idea onward.
 
To learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at emerj.com/AD1