In this episode of the Praxi Pod, Andrew Turner spends time with Angus Gow, exploring his extensive background in AI, data integrity, and the evolving landscape of technology. Angus shares insights from his career, emphasising the importance of data quality in AI applications and the integration of AI in logistics. The conversation delves into the current state of AI, its rapid growth, and the creative aspects of programming, highlighting the need for innovation and adaptability in the tech industry. In this conversation, Andrew and Angus explore the multifaceted implications of AI in society, focusing on ethical considerations, the evolution of human-AI interaction, and the future of entrepreneurship. They discuss the potential for AI to manipulate human behaviour, the importance of ethical development practices, and the contrasting visions of AI's future as depicted in popular culture. The dialogue also touches on the consolidation of AI tools in business, the impact on development teams, and the transformative potential of AI for aspiring entrepreneurs.

Takeaways

• AI has been a long-standing interest for Angus.
• Data integrity is crucial for successful AI applications.
• The evolution of AI has been rapid in recent years.
• Logistics presents unique challenges that AI can help solve.
• Creativity is essential in programming and technology development.
• The current state of AI is reminiscent of the early internet days.
• Understanding data management is key to leveraging AI effectively.
• AI's limitations include a lack of divine inspiration.
• The hype around AI can be overwhelming and distracting.
• Future job skills will focus on creativity and adaptability. AI can manipulate human behavior, raising ethical concerns.
• The ethics of AI should focus on its potential to manipulate.
• AI technologies are powerful but must be used responsibly.
• Future AI may resemble Star Trek more than Terminator.
• Consolidation of AI tools is essential for effective business use.
• AI can enhance productivity but requires skilled developers.
• Junior developers may struggle with AI tools without experience.
• Prototyping with AI can lead to rapid development but may create technical debt.
• AI can lower barriers to entrepreneurship, enabling more people to start businesses.
• Creativity will differentiate businesses in an AI-driven future.

• "AI goes long, a long way back for me."
• "It's so much cheaper to get data right at the start."
• "We're still figuring out the best use of AI."
• "Programming is an art form."
• "AIs are not good at divine inspiration."
• "It's trying to make you happy as well."
• "These are powerful technologies."
• "I think it's actually Star Trek."
• "We've already rebranded it, it's Dreamcoding now."
• "AI will be all over that."
• "It's good, it's good, it's good. Fantastic."
• "You start again. You go, you just get them."

00:00 Introduction and Background

04:01 The Evolution of AI and Personal Journey

12:01 Data Integrity and Its Importance

18:04 Logistics and AI Integration

23:58 Current State of AI and Future Prospects

29:56 The Creative Aspect of Programming and AI Limitations

32:20 The Ethics of AI Manipulation

34:12 The Role of AI in Human Interaction

36:36 Future of AI: Star Trek vs. Terminator

42:49 Consolidation of AI in Business

49:39 The Impact of AI on Development Teams

55:09 The Future of Entrepreneurship with AI

Angus Gow is a highly respected CTO and technology strategist with over 25 years’ experience leading digital transformation across fintech, insurance, supply chain, and e-commerce sectors. He has built and scaled complex systems across a wide range of organisations—from high-growth startups to global enterprises—delivering platforms that power financial products, real-time analytics, and AI-driven decision-making.

Angus is the founder of FlowFoundry.io, a product lab, advisory and services business focused on applying emerging AI and open-source technologies to deliver scalable, cost-efficient systems. His work bridges deep technical expertise—including enterprise architecture, data engineering, and cybersecurity—with commercial insight, having guided companies through trade sales, platform overhauls, and product innovation.

With a hands-on approach to leadership and delivery, Angus has led global engineering teams of over 200 people and managed multi-million-pound technology budgets. His recent work focuses on developing methodologies and architectural patterns for safe, scalable AI in enterprise settings.

Links

https://flowfoundry.io

https://anjin.digital