Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
What this show covers
AI agentsenterprise AIAI governanceagentic AIteacher autonomyAI in educationpersonalized learningeducation reformfuture of learningAI leadershipstorytellingemotional intelligencenarrative intelligencepersonal growthsimulation
What listeners will find here
Can education keep up as AI reshapes what students need to learn?
AI in education is the focus here, with Daniel Whitenack and Chris Benson examining why schools and universities are struggling to adapt. They dig into bureaucratic barriers, limits on teacher autonomy, and how AI might enable more personalized learning without sacrificing core thinking skills.
Why narrative intelligence may be your edge in an AI-shaped workplace
Narrative intelligence, storytelling, and leadership take center stage as Reed Frerichs joins Daniel and Chris to examine personal growth in an AI-driven world. The conversation looks at adapting to changing roles, embracing uncertainty, and pairing AI tools with emotional intelligence.
Why open models and world models could shape the next wave of physical AI
Physical AI is moving into robots, vehicles, and other real-world systems, and this episode looks at the models and infrastructure that could power that shift. Ming-Yu Liu of NVIDIA joins Daniel and Chris to discuss open models, world models, simulation, and what more capable physical AI may require.
What it takes to move AI agents from prototype to enterprise platform
Enterprise AI agents are the focus here, with Nick Kuhn joining Daniel and Chris to examine what changes when agents run alongside traditional applications. The conversation spans security, compliance, scalability, reliability, and practical adoption advice for teams building now.
What it takes for brands to show up in AI search results
AI search is reshaping discovery, and this episode explores what that means for visibility beyond traditional SEO. Daniel and Chris talk with Discovered Labs co-founders Liam Dunne and Ben Moore about retrieval, citations, model memory, Reddit strategy, and the coming role of AI agents.
Episodes
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