This week’s Sunday Rewind takes us back to an in-depth talk from mtpcon San Francisco 2017, where Aparna Chennapragada, formerly Product Director and Technical Assistant to the CEO at Google, unpacks 4 ideas on how artificial intelligence (AI) will change how we think about products and experiences.
Aparna starts by looking at the changes to machine learning and the breakthroughs that have been made in the previous decade: algorithms have become better through modelling the human brain, there is much more data available to train systems, and more raw computing power than ever before to bring it all together. These factors change how we develop products from endless if/else statements to simple algorithms with deep learning systems behind them.
1. Computers adapt to humans
Rather than humans adapting to computers. Interacting with our computers through a mouse and keyboard is better than punch cards, but it is still a slightly unnatural interaction that separates the interface from the input. Smartphones have made this a little better by allowing direct manipulation of the interface, but machine learning and AI allows for more natural interaction through voice, gestures, and more.
2. What superpowers can you give your users?
One way to decide where to use AI in products is to think about the superpowers you want to give your users. Is there a way you can help users discover new content at scale? Is there a power tool you can give to experts?
3. Building a product involves training a product
Think about user goals, not just user flows. And as technology gets horizontal, Product needs to get vertical so that algorithms and processes behind building machine learning are applicable to any industry. Differentiation comes from picking the right problem to solve with machine learning, the right goal and the right training data.
4. New product ideas come from new capabilities
Snapchat and Instagram could only happen because of the cameras in smartphones, and ride-sharing apps could only happen because of GPS location. What capabilities will machine learning and AI give us?
Read the original article and watch Aparna’s talk: Building Products AI-First by Aparna Chennapragada
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