Ep41 Bryan Dennstedt of AIWithBry—2026 Trends: Trust in AI, Healthcare, College, AGI & more

Ep41 Bryan Dennstedt of AIWithBry—2026 Trends: Trust in AI, Healthcare, College, AGI & more

Todd and Bryan Dennstedt review their 2025 AI predictions and discuss 2026 trends including agentic AI workflows, SaaS pricing disruption, trust verification systems, and the transformation of software development through AI-powered rapid prototyping. They explore how AI is enabling low-capital entrepreneurship, challenging traditional venture models, and requiring fundamental shifts in business planning and execution.

SpeedRun Ep11 Medical Videos Ideation  Tales from the Sky Lounge

SpeedRun Ep11 Medical Videos Ideation Tales from the Sky Lounge

The host demonstrates using Claude AI to develop a marketing strategy for a medical SaaS client with an AI diagnostic chatbot. Through iterative prompting, Claude generates platform-specific content strategies for LinkedIn, YouTube, and TikTok, analyzes what drives healthcare professional engagement, and proposes viral marketing concepts inspired by 'Will It Blend' and House MD's diagnostic approach.

Ep22 Bryan Dennstedt—2025 Trends: AI, Venture Capital, and the Future of Work!

Ep22 Bryan Dennstedt—2025 Trends: AI, Venture Capital, and the Future of Work!

Bryan Dennstedt, fractional CTO at Tech CXO and sustainable investing advocate, discusses 2025 technology and business trends with host Todd. They explore venture capital's post-SVB recovery, AI's practical applications and limitations, the evolution of marketing through influencer content and podcasts, and emerging shifts in crypto regulation, intellectual property, and remote work culture.

Ep 14 - AI Roundtable— Where Do We Stand and What’s Next?

Ep 14 - AI Roundtable— Where Do We Stand and What’s Next?

A panel discussion featuring AI and machine learning experts Joel Foreman (Airworks), Nick Vasilioglou (Relational AI), and Kevin (TechCXO) exploring the current state and future of AI technology. They discuss the distinction between AI and machine learning, practical applications of LLMs, concerns about AI hype versus reality, ethical considerations around training data, and emerging innovations in computer vision, semantic layers, and enterprise AI implementation.

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