Softwire TechTalks Podcast Por Softwire arte de portada

Softwire TechTalks

Softwire TechTalks

De: Softwire
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The Digital Lighthouse is a podcast for CTOs and other tech leaders looking to navigate their organisation through endless disruption and turbulence. Packed full of real life stories and insights, this podcast serves as your guiding light - wherever you are in your journey and whatever challenges you face.All rights reserved
Episodios
  • Why AI is like a highly motivated intern

    Why AI is like a highly motivated intern
    Mar 24 2026
    Host Zoe Cunningham speaks with Steve Burrows, a global product delivery and technology leader with more than 20 years of experience delivering digital platforms and transformation programmes across industries. Zoe and Steve explore how organisations can actually capture value from AI in complex environments. While excitement around generative AI is high, many initiatives struggle because they begin with the technology rather than the problem. Drawing on his experience across consulting, product development, and delivery, Steve explains why the most successful AI implementations start by understanding users and mapping workflows. Instead of replacing people, AI works best when it removes repetitive work and allows humans to focus on judgment, creativity, and decision-making. He also shares a practical way to think about AI: treat it like a highly motivated intern. Useful for many tasks, but still requiring oversight, guardrails, and human judgment.
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    25 m
  • Why AI creates knowledge debt and how leaders stay in control with Macs Dickinson

    Why AI creates knowledge debt and how leaders stay in control with Macs Dickinson
    Feb 11 2026
    Host Zoe Cunningham speaks with Macs Dickinson, Director of Engineering at LHV Bank on the challenge many technology leaders are facing as AI tools become embedded in everyday work. While generative AI can accelerate delivery, it can also create a hidden risk: knowledge debt. The loss of deep system understanding when teams rely too heavily on generated outputs. Drawing on his experience in highly regulated industries including banking and gambling, Macs explains why “fail fast” does not translate to environments where reliability and accountability are critical. He shares how his teams are adopting machine learning and AI agents safely, starting with narrow internal use cases, building strong guardrails, and ensuring engineers retain ownership of what they ship. Discover: Why AI can speed up delivery while increasing long term risk Why regulated industries require a different mindset for AI adoption How machine learning models can be governed through monitoring and human review Why generative AI is harder to test than traditional software How starting small reduces risk and builds organisational learning Why ownership and understanding still matter in AI assisted engineering
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    28 m
  • AI and tech revolutions: why we’ve been here before | Jamie Dobson

    AI and tech revolutions: why we’ve been here before | Jamie Dobson
    Jan 15 2026
    In this episode of The Digital Lighthouse, host Zoe Cunningham speaks with Jamie Dobson, founder of cloud consultancy Container Solutions and author of Visionaries, Rebels and Machines. Zoe and Jamie explore how technology really evolves. They discuss why innovation has never been a solo pursuit, why leadership and management matter as much as scientific breakthroughs, and why many of today’s debates around AI echo arguments that have played out before. Drawing on examples from Edison and Oppenheimer to Amazon and modern cloud platforms, Jamie explains why users, not inventors, ultimately determine how technologies succeed or fail. He also shares practical lessons for today’s technology leaders on building real cloud and AI capability, removing organisational bottlenecks, and navigating periods of rapid change. Discover Why technological breakthroughs are built by teams, not lone geniuses Why leadership and management are central to successful innovation How cloud computing emerged by removing barriers for developers Why users shape the future of technology more than its creators What past technology transitions can teach us about today’s AI moment Why preparing for AI is fundamentally a people and capability challenge
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    26 m
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