Breaking the Mold: Real-World Examples of Boundary-Pushing AI Strategies

Breaking the Mold: Real-World Examples of Boundary-Pushing AI Strategies

Moodbeam, a UK-based startup that's using AI to revolutionize mental health support, has developed its own custom AI system that tracks real-time feedback

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Moodbeam, a UK-based startup that's using AI to revolutionize mental health support, has developed its own custom AI system that tracks real-time feedback from users via a wearable device. This allows the company to provide personalized, data-driven insights into people's emotional states, helping them make more informed decisions about their mental health care.

By owning and controlling its AI system, Moodbeam is able to offer a unique service that sets it apart from competitors who rely on generic AI models.

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Zipline, an American company that's using drones to deliver medical supplies in remote areas, has developed its own custom AI system that helps the drones navigate complex landscapes and make split-second decisions about where to drop their cargo. This level of precision and control is only possible because Zipline owns and controls its AI system, giving it a significant competitive advantage over other logistics companies who rely on generic AI models for navigation assistance.

This level of precision and control is only possible because Zipline owns and controls its AI system, giving it a significant competitive advantage over other logistics companies who rely on generic AI models for navigation assistance.

DeepMind, the Google-owned AI research company that's making headlines with its breakthroughs in game theory and protein folding, has developed its own custom AI systems that are designed specifically to solve complex problems in fields like healthcare and climate change. By owning and controlling its AI systems, DeepMind is able to focus on solving real-world problems rather than just chasing after the latest AI trends.

By owning and controlling its AI systems, DeepMind is able to focus on solving real-world problems rather than just chasing after the latest AI trends.

So what does all this mean for startups, agencies, and growth-stage companies? It means that if you want to outgrow generic AI, you need to be willing to break the mold. You need to be willing to own and control your AI systems, just like Moodbeam, Zipline, and DeepMind have done. By doing so, you'll be able to offer unique services and solutions that set you apart from your competitors and ultimately lead to a competitive advantage.

By doing so, you'll be able to offer unique services and solutions that set you apart from your competitors and ultimately lead to a competitive advantage.

It's not easy, but it is possible - and these companies prove it every day.


© 2021 The Economist Newspaper Limited, London. All rights reserved. Reprinted with permission from The Economist. Further reproduction or distribution is prohibited.

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