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Investigating the transition to a computational world. Contact: info@baselinepodcast.com Disclaimer: Nothing on this channel should be considered financial or investment advice.

  1. hace 2 días

    He Built His Own Business Software With AI. Now Comes the Hard Part

    Alex Sergeant runs a hospitality business in rural England. https://www.stagandhuntsman.comFrustrated by expensive software, fragmented systems and hours of administration, he started building his own.Using ChatGPT, Claude and OpenClaw, Alex has built a system that could replace several of the software products his business relies on. But building it is one thing. Trusting it with a real business is another.But building 90% of the system turned out to be the easy part.The final 10% has to be accurate enough to trust with a real business, where a single percentage point of margin can mean thousands of pounds.We went to Hambleden to see what Alex has built, why he built it, and whether AI really changes who gets to build software.Alex says he’s weeks away from putting it into production.We’ll be back.

  2. 23 ago

    AI Is Finding Vulnerabilities We Missed for 20 Years

    AI agents are beginning to find their own way through systems to achieve the goals we give them. https://www.firetail.aiAfter an OpenAI agent escaped its evaluation environment and compromised Hugging Face, I spoke with FireTail founder Jeremy Snyder to understand what is changing.Jeremy has spent nearly 30 years in cybersecurity. We explore why AI can uncover vulnerabilities traditional penetration testing missed, what happens when agents encounter security constraints, why 180-day patch cycles may no longer be viable, and how cheaper open-weight models could change the economics of cyber attacks.We also look inside the enterprise: shadow AI, the EU AI Act, sovereignty, hybrid AI architectures, and how FireTail itself is already running 25 agents across a 13-person company.

    AI Is Finding Vulnerabilities We Missed for 20 Years

  3. 16 ago

    The Chinese AI Question Nobody Can Avoid

    AI is getting cheaper, open models are getting better, and China is changing the economics of the global AI race. But as intelligence becomes more widely available, who actually stays in control?Eight months after our first conversation, I sit down again with Red Hat’s Jonny Williams to examine what has changed. We explore Chinese open-weight AI models, OpenAI and Anthropic, the shift from AI training to inference, the enormous investment in GPUs and data centres, and what AI sovereignty really means for the UK.

    The Chinese AI Question Nobody Can Avoid

  4. 9 ago

    Your Employees Are Already Ahead Of Your Organisation

    Artificial intelligence is changing people faster than organisations can adapt. This investigation explores why that matters, how it is reshaping the way companies operate, and why the next competitive advantage may have less to do with technology than an organisation’s ability to redesign itself. For decades, organisations have been built around the capabilities of people. Today, individuals can build products, automate workflows and solve problems in ways that were unimaginable just a few years ago. But while capability has accelerated, many organisational structures, governance models and decision-making processes have not.

    Your Employees Are Already Ahead Of Your Organisation

  5. 19 jul

    Why Some Companies Learn Faster Than Others

    Artificial Intelligence is changing far more than software. It is changing how organisations learn. In this conversation, Glen Calvert, founder of Kaizan, explores why the next competitive advantage may not come from writing better software, but from building organisations that continuously learn, adapt and improve through recursive feedback. Together we examine how AI is transforming product development, customer relationships, organisational knowledge and enterprise operating models. Rather than simply automating work, AI enables organisations to capture experience, identify patterns, improve decisions and continuously evolve in ways that were previously impossible.

  6. 12 jul

    AI Won’t Save Companies That Don’t Know What To Build

    Most companies spent the last twenty years trying to become digital. But AI is now testing whether they actually learned how to build, adapt and create value.In this episode of BASELINE, Ian Smith speaks with Malcolm Seagrave, CEO of Hedgehog Lab, about the next phase of digital transformation and why AI adoption is not just about buying tools, rolling out licences or launching proofs of concept.Malcolm has spent decades inside the reality of large organisations trying to transform and stay relevant. He compares the current AI moment to the early internet era, when companies knew they had to move but often did not yet understand the risks, the operating model or the scale of change ahead.The central idea of this conversation is simple: buying technology does not create capability.

  7. 5 jul

    Why Enterprise AI Begins with Data

    Enterprise AI is changing the way organisations invest in infrastructure. While public attention remains focused on GPUs and large language models, many enterprises are discovering that the real challenge lies elsewhere. Data, storage, networking, security and governance are becoming the foundations of successful AI deployment.In this episode of BASELINE, Ian Smith speaks with Eric Herzog, Chief Marketing Officer at Lenovo, about why enterprise AI is driving renewed investment in storage infrastructure, hybrid cloud and on-premise systems. Together they explore why AI workloads are moving closer to enterprise data, how proprietary data creates competitive advantage, why GPUs alone are not enough, and what enterprise leaders need to understand before deploying AI at scale.

  8. 28 jun

    Why More People Are Starting To Build - Ian Sutherland

    For decades, turning an idea into a product required funding, developers, technical expertise and a team. Today, that barrier is beginning to disappear.In this episode of BASELINE, former Tide CFO Ian Sutherland shares how a career break after helping scale Tide from less than $1 million to more than $200 million in revenue led him to an unexpected discovery: modern AI tools had dramatically reduced the distance between an idea and a working product.We explore why more people are starting to build, how AI is changing entrepreneurship, what it means for startups and investors, and why some of the most interesting products of the next decade may come from people who understand the problem rather than those who simply know how to code.

    Why More People Are Starting To Build - Ian Sutherland
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Investigating the transition to a computational world. Contact: info@baselinepodcast.com Disclaimer: Nothing on this channel should be considered financial or investment advice.

Información

  • Creador
    Baseline Podcast
  • Años de actividad
    2024 - 2026
  • Episodios
    105
  • Clasificación
    Apto
  • Copyright
    © Baseline Podcast
  • Mostrar sitio web
    BASELINE

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