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Innhold levert av The Current. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av The Current eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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How an AI model correctly predicted the president 3 elections in a row

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Manage episode 449615869 series 3482184
Innhold levert av The Current. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av The Current eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Donald Trump was once again elected as the President of the United States last week, becoming the first president since Grover Cleveland in 1892 to win back the presidency after losing a re-election bid.

One tech company is 3 for 3 in successfully predicting who would become the president in the last 3 elections. That company, Resonate, relies on consumer data and intelligence to deliver data-driven insights.

So, what’s the secret to its success? Resonate uses AI modeling to analyze 15,000 data points across 250 million profiles.

Those data points could include anything from what news sources people read to what streaming services they subscribe to or whether they’re in the market for a car.

To dive more into how Resonate made the call, the company’s CEO Bryan Gernert, chief data scientist Daniel Scantlebury and CMO Ericka McCoy joined The Current Report.

_______

To read the full stories included in this episode:

_______

Each week, The Current gives you the most critical innovations in advertising that are happening on the open internet — identity, the future of TV, retail media, and beyond. Born inside The Trade Desk, The Current is a news platform dedicated to covering the latest in modern marketing — all from the front lines. Speaking to the marketing world’s most influential players, we explain what these seismic shifts mean, how they are happening, and why they are taking place: https://bit.ly/3SAM0wR

  continue reading

77 episoder

Artwork
iconDel
 
Manage episode 449615869 series 3482184
Innhold levert av The Current. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av The Current eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Donald Trump was once again elected as the President of the United States last week, becoming the first president since Grover Cleveland in 1892 to win back the presidency after losing a re-election bid.

One tech company is 3 for 3 in successfully predicting who would become the president in the last 3 elections. That company, Resonate, relies on consumer data and intelligence to deliver data-driven insights.

So, what’s the secret to its success? Resonate uses AI modeling to analyze 15,000 data points across 250 million profiles.

Those data points could include anything from what news sources people read to what streaming services they subscribe to or whether they’re in the market for a car.

To dive more into how Resonate made the call, the company’s CEO Bryan Gernert, chief data scientist Daniel Scantlebury and CMO Ericka McCoy joined The Current Report.

_______

To read the full stories included in this episode:

_______

Each week, The Current gives you the most critical innovations in advertising that are happening on the open internet — identity, the future of TV, retail media, and beyond. Born inside The Trade Desk, The Current is a news platform dedicated to covering the latest in modern marketing — all from the front lines. Speaking to the marketing world’s most influential players, we explain what these seismic shifts mean, how they are happening, and why they are taking place: https://bit.ly/3SAM0wR

  continue reading

77 episoder

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