The AI Epoch

epoch

On these shows, we bring you insights and inspirations from AI data leaders on the front line of AI, who are pushing the boundaries of what technology can do.

Episodes

  1. Jun 17

    Episode 4: How AI is changing Retail with Murray Vanwyk, Founder of Data Simply

    The AI Epoch | Episode: From Help Desk to Revenue Driver — AI in Retail with Murray Vanwyk What does it take for a data science team to stop fielding requests and start driving real business impact? In this episode, Joe Watkins sits down with Murray Vanwyk, founder of Data Simply and creator of Open Retail Science, to unpack how AI is reshaping the retail analytics landscape. Murray draws on two decades of experience with major grocery and retail brands — from Canada's largest grocer to Metro AG — to share why so many data teams get stuck in "help desk" mode, and what it actually takes to break out. From building MVP-first analytics products to using AI as a real-time sparring partner for analysis, Murray offers a grounded, practitioner's view of where the opportunity lies — and where the risks are just as real. The conversation covers the K-shaped productivity divide AI is creating among data professionals, why legal departments are the unexpected gatekeepers of AI adoption in retail, and how product thinking — not more headcount — is the key to making data science matter. Whether you're leading a data team, working in retail, or just trying to figure out how to make AI work beyond the hype, this episode is packed with actionable insight. Topics covered: Building fast, iterative data products that win stakeholder trust | Using AI to accelerate analysis without losing critical thinking | Why most retailers are still stuck — and how to get unstuck | The case for running open-source models in your own cloud | Claude Code, Remotion, and the tools Murray can't stop using

    32 min
  2. Mar 27

    Episode 2: Agentic automation for SMEs with Manjit Johal, Co-Founder & CTO of Kritmatta

    The AI Epoch | Episode 2: Beyond the Chatbot—Building Reliable AI Agents with Manjit JohalIn this episode, host Joe Watkins welcomes Manjit, a 3-time founder and veteran architect (formerly of Ocado and HBO), to discuss the shift from experimental AI pilots to enterprise-grade automation. As a co-founder of Kritmatta, Manjit shares how his team is solving the "trust gap" by building AI agents that are deterministic, auditable, and grounded in real-world business context. Key Takeaways from the Conversation:The Problem with "Prompt Chains": Why traditional chatbots often fail in business settings due to hallucinations, and how Kritmatta uses fixed execution graphs to ensure reliability.The System of Context: A look at the technical challenge of "entity resolution"—connecting a stray WhatsApp message to a specific HubSpot deal and an email thread to create a unified knowledge graph.SME-First Automation: Why small to medium enterprises (starting with recruitment firms) are the "wedge" for AI adoption, as they often lack the engineering teams to build these complex systems themselves.Multi-Agent Situational Awareness: A peek into the roadmap where multiple agents across different channels (LinkedIn, Calendar, CRM) share intelligence to assemble insights automatically without being asked.The "Boring" Rule of Success: Manjit’s advice for business owners: don't start with a grand vision. Instead, pick one "boring," repetitive process, put a human in the loop, and scale only once trust is earned.

    22 min

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On these shows, we bring you insights and inspirations from AI data leaders on the front line of AI, who are pushing the boundaries of what technology can do.