The AI in Business Podcast

Enterprise service leaders are realizing that deploying AI for simple productivity gains fails to resolve the underlying issues that cause repeat truck rolls and high costs. In this episode, Niken Patel, CEO and Co-Founder at Neuron7.ai, unpacks why moving beyond basic automation requires a deterministic intelligence layer to make fragmented data ready for complex resolution decision-making. The discussion focuses on benchmarking industry performance, educating core teams on AI readiness, and establishing a data foundation that enables a transition from reactive repairs to predictive service models. This episode is sponsored by Neuron7.ai
Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Energy organizations have made progress in safety, but most still rely on backward‑looking investigations rather than systems that anticipate when risk is rising. In this episode, Patricio Rivera, Former Vice President of HSE International at Oxy, joins host Matthew DeMello and examines how learning from good days and leveraging existing observation data can strengthen an organization's ability to predict and prevent safety‑critical events. He highlights the practical shifts required to extend periods of stable operations, reinforce the controls most likely to fail, and align safety practices with broader business performance expectations. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

AI enthusiasm has outpaced enterprise readiness, leaving many organizations stuck with pilots that work in the lab but fail to deliver meaningful value in production. In this episode, Lawrence Whittle, Chief Strategy Officer at HTEC Group, joins Emerj's Marilie Fouché to examine how the gap between individual users, isolated use cases, and true end‑to‑end sequences prevents companies from moving beyond experimentation. He highlights the practical shifts required — smaller real deployments, tighter scopes, faster iteration cycles, and integrated expertise — to build momentum and translate AI concepts into tangible business results. This episode is sponsored by HTEC. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Agentic AI is running into a hard limit: most enterprise systems, security layers, and operational backends aren't yet built to support automated execution at scale.  Alex Tyrrel, SVP and CTO of Health at Wolters Kluwer, joins Emerj's Matthe DeMello to unpack how agentic systems adapt models to domain‑specific tasks and act directly inside regulated environments. He outlines the practical requirements for higher‑velocity automation, including tighter APIs and entitlements, stronger observability and compliance, and backend capacity that can handle machine‑driven throughput. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

A widening gap between retiring experts, manual craftsmanship, and limited process visibility is making it increasingly difficult for manufacturers to maintain consistency, prevent errors early, and onboard new operators effectively. In this episode, Sebastian Dykas, Director of Manufacturing, Engineering, and Maintenance at Smith+Nephew, joins Emerj's Marilie Fouche to examine how capturing best practices and connecting machines for real‑time data can tighten control and reduce variability across shifts. He highlights the practical moves leaders can make now — from standardizing training and strengthening process baselines to introducing data‑driven feedback loops that prevent scrap and stabilize production. This episode is sponsored by Poka.  Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner