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The Future of AI Will Be Less Data-Driven

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The Future of AI Will Be Less Data-Driven

Investing in AI Capabilities: A Shift Towards More Intelligent Systems

The Future of AI: Less Artificial, More Intelligent

Companies considering how to invest in AI capabilities should first understand that over the coming five years, applications and machines will become less artificial and more intelligent. They will rely less on bottom-up big data and more on top-down reasoning that more closely resembles the way humans approach problems and tasks.

The Limitations of Current AI

Current AI has lots of limitations. It especially has trouble handling “edge” cases—situations where little data exists for training. A driverless car that can handle crosswalks, pedestrians, and traffic has trouble processing anomalies like children dressed in unusual Halloween costumes, weaving across the street after dusk. Many systems are also easily stumped. The iPhone X’s facial recognition system doesn’t recognize “morning faces”—a user’s puffy, haggard look on first awakening.

The Rise of Top-Down AI

But in the coming years, systems that learn “top-down” from limited data will supplant these data-hungry bottom-up applications. They’ll have more efficient reasoning, ready expertise, common sense. Smart companies will place their bets on these more “human” systems.

Opportunities for Early Adopters

This general reasoning ability will enable AI to be more broadly applied than ever, creating opportunities for early adopters even in businesses and activities to which it previously seemed unsuited.

Conclusion

In conclusion, the future of AI is poised to shift towards more intelligent systems that can handle complex tasks and edge cases with ease. Companies that invest in top-down AI capabilities will be well-positioned to reap the benefits of this shift and stay ahead of the competition.

FAQs
Q: What are the limitations of current AI?

A: Current AI has trouble handling edge cases and is easily stumped by unusual situations.

Q: What is top-down AI?

A: Top-down AI learns from limited data and has more efficient reasoning, ready expertise, and common sense.

Q: What are the benefits of top-down AI?

A: Top-down AI can be more broadly applied, creating opportunities for early adopters even in businesses and activities to which it previously seemed unsuited.

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