Remove tag machine learning
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AWS Launches Amazon Rekognition Custom Labels

PYMNTS

In a blog post , Anushri Mainthia, senior product manager on the Amazon Rekognition team and product lead for Amazon Rekognition Custom Labels, explained that Rekognition users will be able to train a model using a small set of labeled images to detect items in an inventory without any machine learning (ML) expertise.

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Webinar: Powering Efficient, Effective Forecasting Through ML and APIs | May 24

Strategic Treasurer

This webinar will discuss how machine learning (ML) and application programming interfaces (APIs) can power more efficient and effective forecasting. Eager to learn? CTP re-certification credits ARE PENDING for attendance to this live webinar. Explore these free resources. Access Free Resources.

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Deep Dive: How Digital ID Verification Helps Build Trust in Carsharing and Housesharing Platforms

PYMNTS

Solutions often incorporate artificial intelligence (AI) and machine learning (ML) to verify governmental IDs and help rule out potential scams or cybercriminal exploitation. Humans can also train the ML algorithms by tagging IDs with either valid or fraudulent tags, creating a highly sophisticated verification system. .

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Vintage Toys Aid In Happiness Recovery

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Nintendo’s strategy of re-releasing classic games proves the powerful emotional connection we form with toys (as Andy learned the hard way in several “ Toy Story ” films). To really be transported back to their childhoods, some people will find toy trains to be the ideal time machine. Old-School Amusements, Renewed.

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T-Mobile And Sprint Merger Puts Spotlight On 5G At Retail

PYMNTS

Interactive “ magic mirrors ” can recognize the products someone tries on through an RFID tag. For example, a store could use sensors in tags to identify what you’re trying on in real-time. Cloudpick’s retail technology offers a grab-and-go retail experience based on computer vision and machine learning.

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Why Virtual Assistants Need Context To Be Smart Digital Bankers

PYMNTS

In the melding of tech and banking services, the goal is an ambitious one: to create a private banker in digital form — a chatting, knowledgeable persona that interacts with the consumer, using twin high-tech engines of machine learning (ML) and artificial intelligence (AI). Easier said than done. More on context in a minute.

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Digital Fraud Is An Inside Job

PYMNTS

Try wrapping your mind around the price tag of the average corporate data breach at $3.92 It’s a perfect job for the dynamic duo of unsupervised machine learning (UML) and Big Data, creating real-time detection architectures that look for trouble. million per incident. Then multiply that by the 4.1 The figures are staggering.