United Neurons Stand Strong, Divided Neurons Fall - with Dr. Bruce MacLennan
Release Date: 08/09/2015
The AI in Business Podcast
Most enterprise AI pilots don't stall because the underlying models fail — they stall once real production stakes, fragmented systems, and unclear ownership enter the picture. In this episode, Larissa Schneider, Co-Founder & COO at Unframe, unpacks why AI initiatives lose momentum on the way to production and how modular, reusable architecture changes that trajectory. The conversation covers where deployment friction actually originates, how modular AI components cut integration time from months to weeks, and what governance and auditability enterprises need before pushing AI-driven...
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Infrastructure readiness has become the real bottleneck for agentic AI in healthcare, as enterprises confront the shift from systems that generate content to systems that execute tasks across complex, regulated workflows. In this episode, Alex Tyrrell, SVP and CTO of Health at Wolters Kluwer, examines how agentic AI changes operational demands for healthcare organizations in conversation with host Matthew DeMello, highlighting the need for domain‑adapted reasoning, granular APIs, and stronger observability as agents drive higher‑volume system interaction. He underscores the...
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Mobile app attackers already operate at machine speed, but most enterprise cyber functions still rely on manual, human-paced patch cycles to keep up. In this episode, Tom Tovar, Co-Creator at Appdome, examines how agentic AI is replacing manual vulnerability assessment and forcing cyber teams to become producers of protection rather than evaluators of risk. The conversation covers the shift from application-level security policies to release- and user-level personalization, the data and context needed to run agentic protection pipelines, and the accountability questions that come with agentic...
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A surge in AI adoption is forcing enterprises to expose sensitive data to new systems and access paths, creating security risks that traditional perimeter models can’t contain. In this episode, Todd Vancil, Vice President of Veeam’s Securiti AI Sales Engineering Team, examines how securing the data itself — through classification, labeling, and governed access — becomes the prerequisite for safely deploying AI at scale, in conversation with host Daniel Faggella, Emerj CEO and Head of Research. This episode is sponsored by . Learn how brands work with Emerj and other...
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Enterprises rushing agentic AI into production are running it through approval gates, batch windows, and audit systems built for human speed — and the gap is where most operational risk lives. In this episode, Chris Caldwell, President and CEO at Concentrix Corporation, examines how machine-scale transactions break processes designed for human pace and why bounded digital delegates outperform unrestricted digital twins in the enterprise. The discussion covers compliance bots that check other bots, the cost reality of poorly tuned agentic agents, and what leaders need to stop doing if they...
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Legacy enterprises are facing a decisive shift from stalled pilots and fragmented data toward agentic systems that reshape customer experience, operations, and net‑new revenue. Matt Renner, President and Chief Revenue Officer at Google Cloud, examines how leaders can move beyond early AI failures to build modern data foundations, orchestrate heterogeneous agents, and accelerate transformation in conversation with Daniel Faggella, Emerj CEO and Head of Research. The discussion highlights capability‑driven ROI, structured AI governance, data modernization, agentic...
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The rapid expansion of AI‑driven knowledge work is exposing a growing tension: teams are moving faster across more surface areas, but their context is fragmented across tools, personal systems, and ad‑hoc workflows. In this episode, Tsavo Knott, CEO and co‑founder at Pieces, examines how the shift toward AI‑native individual contributors requires a unified substrate for capturing and retrieving operational context, and how this enables more effective coordination between humans, agents, and cross‑functional teams with host Daniel Faggella, Emerj CEO and Head of Research....
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Visual AI gets stuck not because the technology fails, but because enterprises cannot move it from controlled environments into the variability of daily operations. In this episode, Brian Ton, Senior Laboratory Manager at Florida Crystals Corporation, examines why building operational trust in visual AI requires more than a successful pilot — and what actually determines whether a deployment becomes standard practice or stalls. The conversation covers validation and verification frameworks, the role of the feedback loop in sustaining trust, and why starting with small, demonstrable wins is...
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A growing reliance on data‑driven systems is creating tension for enterprise leaders between operational efficiency and the human judgment required for high‑risk, high‑reward decisions. In this episode, Kun He, Lead Scientific Advisor at Bayer, examines how AI improves agricultural decision‑making while still leaving critical gaps that only human intuition and risk tolerance can fill, in conversation with host Matthew DeMello. He highlights where AI reliably accelerates complex workflows and where leaders must preserve the capacity to recognize outlier opportunities and make...
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A growing share of enterprise work now depends on systems that can support both human and AI agents, exposing bottlenecks in coordination, governance, and cross‑functional process design. In this episode, Debanjan Saha, Chief Executive Officer at DataRobot, examines how enterprises can rebuild their operational architecture to support digital employees at scale in conversation with host Daniel Faggella, Emerj CEO and Head of Research. He highlights the practical shifts required — from identity and access control to auditability, simulation, and cross‑system orchestration — that...
info_outlineDr. Bruce MacLennan is an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee Knoxville (UTK), as well as past editor-in-chief of the International Journal of Nanotechnology and Molecular Computation. His research in natural computation has led to active, interdisciplinary involvement in the fields of neuroscience, cognitive science, and philosophy.
In this episode, Bruce discusses how studying the mind has influenced, and will continue to influence, the development of artificial intelligence. In a largely digital world, he turns a clarifying light on the topic of digital versus analog computing, and articulates on how the latter may be making a slow comeback in the wake of discoveries in neural information processing.