Personalize
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Explore more → **Personalize**
What is Personalize?
Amazon Personalize is a machine learning service that enables developers to create individualized recommendations for their customers using their existing data. It's commonly used in e-commerce, media and entertainment, and other industries to enhance user engagement, improve conversion rates, and personalize experiences based on individual preferences and behavior. Amazon Personalize is based on the same technology used by Amazon.com.
What other technologies are related to Personalize?
Personalize Competitor Technologies
AWS Sagemaker
SageMaker offers broad machine learning capabilities, including model building, training, and deployment, thus competing with Personalize's recommendation engine capabilities.
TensorFlow
TensorFlow is a machine learning framework that can be used to build custom recommendation systems, competing with Personalize.
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Personalize Complementary Technologies
AWS Lambda
Lambda can be used to preprocess data, trigger model retraining, or implement custom logic within a Personalize pipeline.
AWS S3
S3 is used for storing the training data and model artifacts used by Personalize.
AWS DynamoDB
DynamoDB can be used to store user profiles, item metadata, or real-time event data that Personalize uses for recommendations.
Number of organizations that mention technology
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Which job functions commonly mention Personalize?
Applied Scientist
0.2% of all Applied Scientist jobs mention Personalize
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jobs on Sumble
Machine Learning
31 Machine Learning jobs mention Personalize
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jobs on Sumble
AI Engineer
15 AI Engineer jobs mention Personalize
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jobs on Sumble
Data Scientist
28 Data Scientist jobs mention Personalize
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jobs on Sumble
Software Engineer
98 Software Engineer jobs mention Personalize
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jobs on Sumble
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