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Prediction: Seeing the Future
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In the early twentieth century, Evangeline Adams was the most famous fortune teller in America. Kings, actors and even bankers came to her for predictions. Though Adams was an astrologer, she wasn’t the only one predicting the future at the time. Government agencies started making predictions about the weather. As the years went by, science fiction writers and scientists predicted space travel, wind farms, hormone replacement therapy and more.
Today, we’re trying to predict the future of buyer behavior, the Earth’s climate and health outcomes. But instead of relying on the stars, researchers use predictive models and deep learning algorithms. From the fate of our planet to what an individual will buy online to what crimes will occur next week, there’s almost no limit to the questions many are trying to answer using artificial intelligence. Hear what’s in the cards for predictions on this episode of Trailblazers.
Featuring Jamie Pietruska, Bill Behrens, Eric Siegel, Aaron Andalman, Ben Reis and Ishanu Chattopadhyay.
For more on the podcast go to delltechnologies.com/trailblazers
121 Episoden
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on April 17, 2024 07:26 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 358626358 series 1397507
In the early twentieth century, Evangeline Adams was the most famous fortune teller in America. Kings, actors and even bankers came to her for predictions. Though Adams was an astrologer, she wasn’t the only one predicting the future at the time. Government agencies started making predictions about the weather. As the years went by, science fiction writers and scientists predicted space travel, wind farms, hormone replacement therapy and more.
Today, we’re trying to predict the future of buyer behavior, the Earth’s climate and health outcomes. But instead of relying on the stars, researchers use predictive models and deep learning algorithms. From the fate of our planet to what an individual will buy online to what crimes will occur next week, there’s almost no limit to the questions many are trying to answer using artificial intelligence. Hear what’s in the cards for predictions on this episode of Trailblazers.
Featuring Jamie Pietruska, Bill Behrens, Eric Siegel, Aaron Andalman, Ben Reis and Ishanu Chattopadhyay.
For more on the podcast go to delltechnologies.com/trailblazers
121 Episoden
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