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Artwork for Beyond The Pilot: Enterprise AI in Action

Beyond The Pilot: Enterprise AI in Action

VentureBeat
Generative AI
Artificial Intelligence
Cybersecurity
AI Agents
Napkin AI
AI Design
Intuit
Cisco
Powerpoint
Graphic Design
Openai
Agentic AI
Linkedin
Cloud Migration
Paypal
AI Infrastructure
Visa
Large Language Models
AI and Machine Learning
Legal Technology

AI gets real here. On “Beyond the Pilot,” top business execs share what actually happens after the AI proof of concept — from infrastructure and org design to wins, failures, and ROI. Not theory, but deep dives into how they scaled AI that works.

PublishesTwice monthlyEpisodes29Founded8 months ago
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Artwork for Beyond The Pilot: Enterprise AI in Action

Latest Episodes

Enterprise GPU hoarding is over. LinkedIn CTO Erran Berger and VentureBeat analyst Rob Strechay break down what comes next — and the infrastructure math most enterprises are only now being forced to confront.

VentureBeat's Q1 research shows GPU avai... more

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The CEO who built one of the most-starred RAG frameworks on GitHub (47,000 stars) just publicly declared that frameworks like his are becoming obsolete — and then pivoted his entire company around that conclusion.

Jerry Liu, CEO and co-founder of Ll... more

Cisco's OutShift deployed a multi-agent network configuration system that raised error detection from 10–15% to 100% and cut full change validation from 2–3 weeks to 6–7 minutes. The reason it worked — and why most enterprise multi-agent deployments ... more

A QuickBooks customer discovered significant fraud by asking their AI assistant follow-up questions about transaction amounts that didn't add up. This isn't a demo — it's one of 3 million customers now using Intuit's AI agents in production, with 80.... more

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Recent Guests

Rob Strechay
VentureBeat analyst
VentureBeat
Episode: GPU Hoarding is Over. The $401B Reality Check
Erran Berger
CTO of LinkedIn
LinkedIn
Episode: GPU Hoarding is Over. The $401B Reality Check
Jerry Liu
CEO and co-founder of LlamaIndex
LlamaIndex
Episode: Agents Ate the UI: Data is Your Only Moat with LlamaIndex
Vijoy Pandey
SVP and General Manager of OutShift
OutShift by Cisco
Episode: The Protocol Stack AI Is Missing
Marianna Tessel
Executive leader with experience at Docker, Cisco, and Intuit
Intuit
Episode: 100M Agents: Scaling the New Execution stack with Intuit
Li Juan
AI researcher discussed on the episode
Episode: The AI War For Your Personal Context
Harrison Chase
Co-founder and CEO of LangChain
LangChain
Episode: LangChain: What OpenClaw Got Right (And Why Enterprises Can't Have It)
Min Chen
Senior Vice President and Chief AI Officer of LexisNexis
LexisNexis
Episode: LexisNexis on Why Standard RAG Fails in Law
Johan Gerber
EVP of Security Solutions at MasterCard with a background in law enforcement
MasterCard
Episode: Mastercard's 160 Billion Transactions: AI's Biggest Test

Hosts

Matt Marshall
Host and VentureBeat lead; co-host with deep background in enterprise AI coverage and industry analysis.
Sam Witteveen
Co-host with a focus on enterprise AI applications and practitioner insights; frequent collaborator with executives and engineers.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#127
United States/News/Tech News
Apple Podcasts
#86
South Korea/News/Tech News
Apple Podcasts
#110
Poland/News/Tech News
Apple Podcasts
#113
Brazil/News/Tech News
Apple Podcasts
#113
Israel/News/Tech News
Apple Podcasts
#116
Denmark/News/Tech News
Apple Podcasts
#118
Finland/News/Tech News
Apple Podcasts
#142
Singapore/News/Tech News
Apple Podcasts
#174
India/News/Tech News
Apple Podcasts
#192
Norway/News/Tech News
Apple Podcasts
#195
Hong Kong/News/Tech News
Apple Podcasts
#210
Austria/News/Tech News
Apple Podcasts
#215
Japan/News/Tech News
Apple Podcasts
#221
Sweden/News/Tech News
Apple Podcasts
#229
Netherlands/News/Tech News
Apple Podcasts
#250
Ireland/News/Tech News

Talking Points

Recent interactions between the hosts and their guests.

LangChain: What OpenClaw Got Right (And Why Enterprises Can't Have It)
Q: How has LangSmith addressed the challenge of observability and monitoring for enterprise-grade agents, especially given unbounded inputs and spikes in model behavior?
LangSmith centers on agent traces as the foundation for observability. It enables regression testing with evals, a debugging playground, and scalable analysis via proxies like an LLM to inspect vast trace data. This approach helps enterprises understand agent behavior, catch issues, and optimize performance across millions of traces, which is essential for reliable production use.
LangChain: What OpenClaw Got Right (And Why Enterprises Can't Have It)
Q: What is context engineering, and how is it being done differently now than with early systems like AutoGPT?
Context engineering is about ensuring the LLM sees the right information at the right time by carefully constructing the system prompt, tool definitions, and how traces are presented. Today, harnesses leverage file systems and dynamic prompts to manage long contexts, allowing models to decide when to collapse context and how to structure tool calls, which improves reliability over earlier approaches like AutoGPT that lacked such integrated context-management.
LexisNexis on Why Standard RAG Fails in Law
Q: Can you give us an example of a query where a semantically similar answer like RAG was dangerously wrong because it lacked the legal authority?
Min Chen discusses how RAG's initial implementations did not guarantee authoritative answers due to the nature of pure semantic search and how they improved the architecture.
Mastercard's 160 Billion Transactions: AI's Biggest Test
Q: How do you build and organize teams to deploy AI?
It's crucial to integrate data scientists across different business verticals to unlock the data's full potential for AI applications.
Mastercard's 160 Billion Transactions: AI's Biggest Test
Q: How does thinking like a criminal change the way you design an enterprise AI security strategy?
Understanding criminal behavior helps shape technology and product development strategies to better prevent fraud.

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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

This show features deep-dive conversations with senior tech leaders and enterprise AI practitioners about turning proof-of-concept AI into scalable, ROI-focused reality. Episodes often center on infrastructure decisions, cost governance, data and privacy considerations, and the human/organizational design required to sustain AI at scale. Guests frequently discuss practical challenges like model orchestration, multi-agent coordination, and the trade-offs between build vs. buy, vendor lock-in, and security. A standout angle is how large organizations operationalize AI—from fraud prevention and security to workflow automation and personalized copilots—bringing real-world lessons and patterns that listeners can apply in their own deployments.

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this podcast launched 8 months ago and published 29 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Rob Strechay
2. Erran Berger
3. Jerry Liu
4. Vijoy Pandey
5. Marianna Tessel
6. Li Juan
7. Harrison Chase
8. Min Chen

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