Artificial Intelligence in the Real World – The Personal Shopper

Babak Hodjat, Co-Founder & Chief Scientist, Sentient Technologies


AI isn’t simply about finding patterns in data, it’s about decision making. For example, what makes a fighter pilot successful in dogfights? Turns out the X factor has nothing to do with their training or the aircraft, it’s about going through the decision making process and taking an action as fast as possible. This process is known as an OODA (Observe, Orient, Decide, Act) loop. The thinking goes that the faster a pilot can progress through the loop, the more successful decisions they can make. And this loop applies to artificial intelligence, too. Deep learning can automatically identify features in data quickly. Evolutionary computation is notoriously good at configuration problems and computation problems where decisions need to be made in rapid order.

Examples include:

  • Stock trading: We observe, orient against the data, decide what actions to take and how, and we take those actions and wait to see what happens next. It’s about making a prediction and acting on that prediction. This is a process AI can easily handle.
  • Healthcare: Sepsis, an inflammation in the body caused by infection, is known at its onset by a drop in blood pressure. If arterial blood pressure wave form data can be monitored often enough, it is possible to raise a red flag to healthcare professionals up to 30 minutes in advance of the onset. This kind of application can save lives.

In this video from our Think Tank, Bobak Hodjat, co-founder and chief scientist, Sentient Technologies, goes into greater detail — including how this thinking applies to shopping.

Artificial Intelligence in the Real World – The Personal Shopper

What about you?

Are you aware of places in your life or career where an OODA loop would prove beneficial? Is it a task an AI can be put to work on?

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