Podcast artwork thumbnail for Practical AI

Practical AI

Daniel Whitenack, Chris Benson

Booking Overview

This is an interview-led technology show focused on practical artificial intelligence, machine learning, enterprise implementation, and emerging AI infrastructure, typically featuring technical practitioners, business leaders, founders, and standards or community experts. Credible pitches include AI and machine learning executives, enterprise deployment specialists, AI governance and standards leaders, MLOps professionals, and founders with demonstrable real-world implementations; booking difficulty is medium.

Metrics

Episodes: 377

Frequency: Weekly

Rating: 4.4/5.0

Estimated listeners: 1,000 - 10,000

Listener location: USA

YouTube: 17.3k subscribers

Instagram: 15.0k followers

Contact Information

Publicly listed emails

contact@practicalai.fm

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Host

Daniel Whitenack - Artificial intelligence and machine learning practitioner, entrepreneur, and educator focused on practical applications of AI and production technology.

Chris Benson - Artificial intelligence strategist and technologist focused on practical enterprise adoption, emerging AI systems, and real-world implementation.

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
AI and machine learning practitioners, enterprise technology executives, founders, standards leaders, and community experts with direct experience applying or deploying AI in real-world organizations.
Required Achievements:  
Leading enterprise artificial intelligence or machine learning initiatives, Founding or leading AI companies, standards organizations, or professional communities, Developing practical AI systems, platforms, architectures, or workforce programs, Demonstrating measurable organizational or business outcomes from AI implementation

Recent Guest Discussions

Ben Moore - AI Search Visibility, Retrieval And Citations, Query Fan-out, Representation In Model Weights, Consensus, And AI Agents Interacting With Websites.

Liam Dunne - AI Search Visibility, Retrieval And Citations, Query Fan-out, Representation In Model Weights, Consensus, And AI Agents Interacting With Websites.

Demetrios Brinkmann - Computer-use Agents, The Agentic Internet, MCP, Agent Harnesses, Agent-to-agent Interactions, Agentic Commerce, And Enterprise Automation.

Chetan Gupta - Enterprise AI Architecture, Industrial And Physical AI, Model Deployment, AI Governance, And AI Sovereignty.

Angie Jones - Open Standards And Projects For Agentic AI, MCP, A2a, Goose, Organizational AI Adoption, And Human Oversight Of AI Delegation.

Recent Topics

Technology, Artificial Intelligence, Machine Learning, Mlops, Ai Governance

Episodes

Here's the recent few episodes on
Practical AI
:

Narrative intelligence and the human advantage

October 08, 2026

As AI reshapes how we work, create, and think about our roles, staying adaptable means understanding not just the technology, but our own stories and identities. Reed Frerichs joins Daniel and Chris to explore narrative intelligence, storytelling, leadership, and personal growth in an AI-driven world. They discuss how entrepreneurs and leaders can use AI tools to navigate changing roles, embrace uncertainty, and develop emotional intelligence along with Reed's “own, author, act” framework.Fea...

Open models and the future of Physical AI with NVIDIA

October 01, 2026

As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his perspective on open models, world models, and the future of physical AI. They explore why open models matter for innovation, how world models can help AI understand and simulate the physical world, and what it could take to build increasingly capab...

From AGENTS.md to Enterprise Deployment

September 24, 2026

AI agents are moving beyond laptops and prototypes and into enterprise environments where security, compliance, scalability, and reliability matter. Nick Kuhn from VMware Tanzu Platform joins Daniel and Chris to discuss what changes (and what doesn’t) when deploying agents alongside traditional applications. They explore agent build packs, MCP gateways, shared memory, identity, sandboxing, and what enterprises can learn from years of platform engineering. Nick also shares practical advice for...

Frequently asked questions

Here's some frequently asked questions for
Practical AI
:

How do I get in touch with Practical AI?

Practical AI is hosted by Daniel Whitenack and Chris Benson. Its publicly listed email is contact@practicalai.fm. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for Practical AI?

The publicly listed email for Practical AI: contact@practicalai.fm.

How many listeners does Practical AI have?

Podseeker estimates Practical AI reaches 1,000 to 10,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for Practical AI?

Practical AI typically books industry leaders. Typical guest background: AI and machine learning practitioners, enterprise technology executives, founders, standards leaders, and community experts with direct experience applying or deploying AI in real-world organizations. Common among recent guests: Leading enterprise artificial intelligence or machine learning initiatives; Founding or leading AI companies, standards organizations, or professional communities; Developing practical AI systems, platforms, architectures, or workforce programs. Recent guests include Ben Moore, Liam Dunne, and Demetrios Brinkmann.

How hard is it to get booked on Practical AI?

Medium. Guests usually need solid credentials in the topic and an idea that fits the show.

What topics does Practical AI cover?

Recent episodes cover Technology, Artificial Intelligence, Machine Learning, Mlops, and Ai Governance. Pitch an idea tied to one of these topics and mention a recent episode.

Publicly listed emails

contact@practicalai.fm

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

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