Large Language Models in the Enterprise - with Mark Russinovich, CTO of Microsoft Azure
Release Date: 08/01/2022
How Regulated Enterprises Turn Governance Into AI Scale - with Julian Tang of BlackRock
The AI in Business Podcast
Enterprise leaders face a growing gap between AI ambition and the fragmented data, legacy systems, and cultural friction that prevent pilots from becoming scalable value. In this episode, Julian Tang, Chief Operations Officer for the Innovation Office at BlackRock, examines how unified data foundations, modernized infrastructure, and transparent governance enable organizations to move from reactive experimentation to intentional, enterprise‑wide AI deployment, in conversation with host Matthew DeMello. He highlights the practical shifts required to reduce friction, build trust...
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Determining Virtual Cell Impact for Drug Discovery - with Kristóf Szalay and Gerold Csendes of Turbine
The AI in Business Podcast
Virtual cell models promise faster, cheaper early-stage drug discovery. However, the industry still lacks a shared way to judge which of these models can actually be trusted on a given problem. In this episode, Kristóf Szalay, CTO and Co-Founder of Turbine, and Gerold Csendes, Scientist at Turbine, set out what virtual cell models can and can't do today, in conversation with host Marilie Fouché. They cover why benchmarking remains fragmented across the field, how pharma teams build confidence in a model before trusting it with real R&D decisions, and how compressing the feedback...
info_outline![[AI Futures] Paolo Ardoino of Tether on Merger or Obsolescence - The Future for Humanity (Stewarding the Flame, Episode 3) show art](https://assets.libsyn.com/content/205103455?height=50&width=50)
[AI Futures] Paolo Ardoino of Tether on Merger or Obsolescence - The Future for Humanity (Stewarding the Flame, Episode 3)
The AI in Business Podcast
The rise of non‑invasive BCIs and the privacy, security, and human‑relevance questions they introduce is becoming a central concern as this technology moves toward practical use. In this episode, Paolo Ardoino, CEO at Tether, examines how lightweight on‑device models, silent‑speech inputs, and anonymized brain‑wave data can turn low‑bandwidth neural signals into real‑world actions, in conversation with host Daniel Faggella, Emerj CEO and Head of Research. The discussion focuses on emerging consumer use cases, long‑term cognitive augmentation, and the safeguards...
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The Predictive Model Reshaping Retail Operations at Scale - with Chris Slovak of Unframe
The AI in Business Podcast
Most retail AI pilots stall waiting on a years-long project to centralize and clean data before any agent can go live. In this episode, Chris Slovak, Global Field CTO at Unframe, makes the case for a different path: letting agents pull context directly from ERPs, CRMs, and point-of-sale systems as needed, in conversation with host Marilie Fouché. He walks through concrete results from that approach, including an inventory intelligence deployment that saved tens of thousands of dollars in time and data costs, and a deployment cycle that shrank from nine months to two weeks. This...
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Managing Change Across Modern Financial Operations - with Ajay Swamy of JPMorganChase and Founder of FundLens.ai
The AI in Business Podcast
Banks can process millions of transactions an hour, yet even routine steps in financial operations still require constant human judgment to hold together. In this episode, Ajay Swamy, Senior Executive Product Director for GenAI Products and Governance at JPMorganChase, and Founder of FundLens.ai, explores why data fragmentation and manual judgment make BFSI workflows hard to run consistently, and what it takes to make AI‑driven decisions explainable enough to trust at scale. The conversation covers evaluating AI for regulated environments, building oversight into agentic...
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The Future of Customer Success and Turnkey AI Agents for SMBs - Matt Kravitz of Salesforce
The AI in Business Podcast
Service leaders are increasingly asked to deploy AI agents without a clear sense of what these systems can safely handle today, or where to start. In this episode, Matt Kravitz, Head of Customer Transformation for Service Cloud at Salesforce, breaks down a three-level maturity model for AI service agents — answering questions, accessing account data, and taking action — and how to sequence adoption. The conversation also covers a channel-strategy framework for deciding which support requests to deflect, route to digital-assisted support, or escalate to a live conversation, and how a...
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What Mature Security Programs Need Before Deploying AI - with Mark Alvarado of Academy Sports + Outdoors
The AI in Business Podcast
The security landscape is shifting as AI accelerates existing vulnerabilities faster than most retail enterprises can adapt. In this episode, Mark Alvarado, CISO at Academy Sports + Outdoors, examines how AI amplifies gaps in identity management, data governance, and human behavior, joining Emerj’s Yolandi de Weerdt to clarify where leaders must focus before deploying AI‑enabled tools. He highlights the operational foundations that determine whether AI strengthens detection and response or simply magnifies unresolved weaknesses. Learn how leading brands and AI startups...
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Closing the Medical Device Knowledge Gap with AI Driven Field Service - with Ryan Makely of Bruker
The AI in Business Podcast
A growing gap between device complexity and organizational knowledge is turning service reliability into an enterprise‑level risk for regulated industries. In this episode, Ryan Makely, Senior Director of CALID Service at Bruker Scientific, breaks down how fragmented documentation, rapid loss of expert judgment, and inconsistent field diagnoses undermine both operational performance and any future AI‑enabled support capability — in conversation with Emerj’s Marilie Fouché. Leaders will hear practical themes around building structured knowledge foundations, reducing...
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How Industrial Leaders Are Redefining AI for the Factory Floor - with Antoine Bisson of Poka
The AI in Business Podcast
Industrial AI is forcing leaders to confront a fundamental gap between digital systems built for offices and the high‑risk, real‑time demands of the factory floor. In this episode, Antoine Bisson, CEO & Co‑founder at Poka, joins host Marilie Fouché and dissects why industrial environments require contextual data, strict governance, and human‑validated autonomy to safely scale AI‑driven operations. The conversation surfaces practical considerations for executives, from structuring governance and standardizing workflows to determining where autonomous agents can...
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Machine‑Speed Security Risk in the Age of AI - with Niro Rajadurai of XBOW
The AI in Business Podcast
AI is generating code and surfacing vulnerabilities faster than security teams can review them, compressing the time between a vulnerability discovery and its exploitation. In this episode, Niro Rajadurai, Chief Revenue Officer at XBOW, examines how autonomous offensive security can match that pace, in conversation with host Marilie Fouché. He discusses why distinguishing exploitable vulnerabilities from false positives is critical at scale, how pairing multiple AI models improves results without costly retraining, and why governance has to be built into automated security systems from...
info_outlineToday’s guest is Mark Russinovich, CTO of Microsoft Azure. In this episode, we focus on large language models, and Mark speaks with us about two distinct topics. First, he discusses actual, in-the-field applications of large language models today. Mark goes over several of them, but one use-case with Carmax is particularly useful for natural language generation in an enterprise use-case. Secondly, Mark talks about what he would recommend for enterprise leaders who would like to look at their own business and identify where they can apply the value of large language models within their enterprise and the particular workflows that might be optimal for LLMs. This episode is sponsored by Kisaco Research. This year, the Kisaco Research AI Hardware Summit takes place from September 13th through September 15th at the Santa Clara Marriott in California. Mark is among many distinguished speakers, including infrastructure and AI leaders at Meta, Wells Fargo, Salesforce, and more.