What if your AI strategy doesn’t need more agents, just a better plan?
This week Chris sits down with Joseph June, who leads AI strategy at PTC to talk about what companies are getting wrong with AI – going too broad too fast.
Joseph goes into why picking one problem and really solving it is the way to go when onboarding AI. He shares a great example of what a strong AI use case looks like on the shop floor and unpacks the concept of ‘production data foundation’.
The conversation turns to where agents are headed. There’s also some good, grounded discussion here on building trust with AI and how the process mirrors onboarding any new employee.
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3 Quick Things from this Episode
- The manufacturers making real progress aren’t the ones running the most pilots, they are the ones picking one specific problem and going deep on it. Trying to solve everything at once is why so many companies get stuck without a proof point.
- A real ‘production data foundation’ is about capturing how people arrive at decisions to reach a specific outcome. That’s the data AI uses to understand your decision-making patterns and begin to replicate them.
- Having a catalog of AI agents isn’t the advantage. The real opportunity is in knowing what to do with them. We should deploy AI that reasons across your data to build a plan, with agents simply executing the tasks within it.
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Tweetable Quotes
- “A lot of the hesitation and a lot of the concerns people have about AI are probably real, but a lot of them are sentiment, and it takes time to be able to build that trust.” – Joseph June, Head of AI Strategy at PTC
- “What’s unique about AI that is different from a person – it is capable of processing a very large amount of data in a faithful and ruthless way to be able to accomplish a particular outcome.” – Joseph June, Head of AI Strategy at PTC
- “The type of data matters. Data that represents individual decisions that people or groups of people have made in efforts to accomplish a specific goal. That’s really valuable data.” – Joseph June, Head of AI Strategy at PTC
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What We Discuss with Joseph
- How AI experience helped Joseph make the leap from ServiceMax into leading AI strategy at PTC
- The most common mistake manufacturers make when rolling out AI
- What separates companies making AI progress from those stuck in pilot purgatory
- What ‘production data foundation’ means, and why simply having more data shouldn’t be the goal
- How AI agents are being used in manufacturing today, and where that’s headed next
- Why the plan behind your agents matters more than the agents themselves
- How to build trust in AI gradually, using the advise, assist and automate framework
Recommended Resources
- PTC enables companies to differentiate their products and services, improve operational excellence, and increase workforce productivity. Manufacturers can capitalize on the promise of today’s new technology to drive digital transformation.
- ServiceMax helps customers keep the world running with asset-centric field service management software. Their cloud-based software and mobile apps provide a complete view of assets to field service teams.
Connect with Joseph June and PTC
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