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Diego Oppenheimer, CEO of Algorithmia. (GeekWire Photo / Kevin Lisota)

This time, it seems like it’s actually going to happen.

We’ve been hearing promises about how artificial intelligence and machine learning are going to change the world for decades, but in 2017, it’s hard to deny that real breakthroughs are being made. AI is changing the way tech products are developed, data is evaluated, and even the way we communicate with each other.

At our GeekWire Cloud Tech Summit last month, we invited three AI experts — Jensen Harris, CTO of Textio; Diego Oppenheimer, CEO of Algorithmia; and Jasjeet Thind, vice president of data science and engineering at Zillow — to deliver a series of technical talks on how artificial intelligence and machine learning are being incorporated into products and services. They’re presented below, and worth watching if you’ve been thinking about how AI would make sense in your application or service, but aren’t quite sure how to make it all work.

Diego Oppenheimer, Algorithmia

Oppenheimer blended a little of our serverless and microservices technical track into his talk, which focused on how developers are actually building applications that take advantage of artificial intelligence. “Every application is going to become an intelligence application over the next couple of years,” he said, and Google’s new AI venture capital firm agrees, having invested $10.5 million into the company a few weeks after his appearance.

Jensen Harris, Textio

“The next disruptive technology in productivity, and especially in writing, is machine intelligence,” Harris said, early into his presentation on how Textio built its augmented writing system. He walked attendees through the process Textio went through in developing its AI technology, and some of the unsolved challenges that remain.

Jasjeet Thind, Zillow

Once you’ve deployed artificial intelligence algorithms into your application or service, how do you make sure everything runs the way it should? Thind explained how Zillow tests and deploys AI-powered applications by overcoming some unique challenges that AI presents in the testing process.

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