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AI at Work

AI at Work

著者: Neil C. Hughes
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What does AI really mean for the modern workplace, and are we ready for what comes next?

AI at Work is a podcast from the Tech Talks Network, the home of conversations that showcase the voices at the heart of enterprise technology. You may know me from Tech Talks Daily, where we explore a different area of innovation in every episode. This show offers a focused look at one of the most significant shifts in business: how artificial intelligence is transforming the way we work..

AI at Work is a podcast from the Tech Talks Network, the home of conversations that showcase the voices at the heart of enterprise technology. You may know me from Tech Talks Daily, where we explore a different area of innovation in every episode. This show takes a focused look at one of the biggest shifts in business: how artificial intelligence is transforming the way we work.

From intelligent automation to agentic AI and from the promise of workplace efficiency to the risks of unintended consequences, we aim to provide a grounded and accessible perspective on how AI is shaping the future of work.

If you’re using AI in your business or thinking about how to get started, this podcast is your chance to learn from the people already doing it.

Tech Talks Network 2025
経済学
エピソード
  • AI That Works: How Freshworks Turns Hype into Real ROI
    2025/06/21

    In this episode of AI at Work, I sit down with Dennis Woodside, CEO of Freshworks, to uncover how real companies are getting true value from AI.

    Dennis shares how Freshworks has built AI tools that help businesses resolve routine questions automatically, boost agent productivity, and give managers clear performance insights without needing complex dashboards. He explains the company’s focus on making AI quick to deploy and simple to buy, so mid-sized companies can see immediate returns without endless consulting bills.

    We explore customer stories like Total Expert, which saved thousands of agent hours and saw a 250 percent return on its AI investment. Dennis also talks about the lessons learned from integrating AI internally and how the company stays flexible enough to adopt the latest advances from across the industry.

    This conversation is for anyone who wants to see beyond the AI hype and hear how smart companies are using it to save time, cut costs, and let people focus on more rewarding work.

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    30 分
  • How OpenUK is Driving Open Technology, AI Transparency, and Global Standards
    2025/06/07

    In this episode of AI at Work, I catch up with Amanda Brock, CEO of OpenUK, for a wide-ranging conversation on the changing landscape of open technology, AI transparency, and international collaboration.

    We explore how OpenUK is working ahead of the market, helping shape policies and support for open source projects while responding to rising geopolitical tensions and funding pressures. Amanda explains how the UK occupies a unique position between the EU and the US and what that means for future AI standards and regulatory frameworks.

    We also discuss:

    • The sustainability challenges facing open source communities and maintainers
    • Shifts in AI development, including legal and ethical questions around IP and model transparency
    • The role of tools like Roost and initiatives like Current AI in creating practical solutions for AI governance
    • Why "tools, not rules" may offer a more realistic path than top-down regulation
    • The importance of keeping open source accessible as a route into the tech industry

    Amanda shares her concerns about the rollback of EDI efforts and highlights how open communities can still offer a clear path into tech for people from underrepresented and underserved backgrounds. We discuss OpenUK's upcoming skills report and how it aims to highlight open source as a solution to address the ongoing talent shortage.

    Recorded ahead of International Women's Day, this episode also reflects on the slow progress around diversity and how leadership, policy, and community must come together to drive lasting change.

    If you're interested in how policy, law, and open technology intersect with AI development, this conversation offers thoughtful perspective, clear examples, and real-world action.

    🎧 Listen now and let us know where you think the future of open innovation is headed.

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    34 分
  • Why Insight Says Internal AI Use Is the Best Place to Start
    2025/05/29

    In this episode of AI at Work, I sit down with Juan Orlandini, CTO North America at Insight, to unpack the often-overlooked side of AI adoption: regulation, data strategy, and governance. While much of the recent conversation around AI has focused on speed, productivity, and experimentation, Juan brings the discussion back to fundamentals. Before you scale that shiny new AI tool across your business, have you classified your data? Have you considered your compliance obligations? And do you understand the different responsibilities that come with being an AI creator, adapter, or consumer?

    Juan walks us through Insight’s perspective on the current state of enterprise AI, including how they’ve used their own internal tools like InsightGPT to stress test both opportunities and risks. We discuss why internal use cases are often the best place to start, and how leaders can avoid repeating the mistakes of past tech waves, like the race to cloud or mobile apps without a clear strategy.

    We also explore the patchwork of US regulations, with California leading the way, and compare this to the EU’s more prescriptive approach. Juan explains how these emerging policies are shaping real business decisions right now, and what business leaders can do to stay ahead. Throughout our chat, his advice is grounded and practical, offering a steady counterpoint to the noise and hype.

    Whether deep in deployment or just starting to explore how AI fits into your business, Juan's insights offer a roadmap to thinking bigger while avoiding costly missteps. How do you keep your organization agile enough to adapt, but stable enough to deliver? And what does it really take to treat AI as an enterprise tool rather than a passing trend?

    Tune in to hear Juan’s advice on managing risk, reimagining processes, and building a culture that is ready for what comes next.

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    29 分

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