APIs Automotive Metrics Technology 
AWS Machine Learning
NOVEMBER 15, 2023
For example, we can use an API chain to call an API and invoke an LLM to answer the question based on the API response. The bounding box area thresholds are defined by the Common Objects in Context (COCO) evaluation metrics [Lin et al., His core interests include deep learning and serverless technologies.
AWS Machine Learning
NOVEMBER 21, 2023
It’s heavily used in many industries such as automotive, aerospace, communication, and manufacturing. After checking the accuracy metrics for the locally-trained model, we can move the training into Amazon SageMaker. Shun Mao is a Senior AI/ML Partner Solutions Architect in the Emerging Technologies team at Amazon Web Services.
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ViiBE Blog
JULY 30, 2021
Automotive , Construction , Energy , Insurance , Retail , SMB , Transport. To make inbound contact operations smooth and of utmost quality on both the customer’s and the agent’s sides, various innovative technologies can be used. Using video communication technology to reach SDG 9. ViiBE Blog. Natalia Barszcz.
AWS Machine Learning
OCTOBER 13, 2022
AWS offers a pre-trained and fully managed AWS AI service called Amazon Rekognition that can be integrated into computer vision applications using API calls and require no ML experience. You just have to provide an image to the Amazon Rekognition API and it can identify the required objects according to pre-defined labels.
Amity
JUNE 12, 2017
Customer Health Score: The Customer Health Score has become a prominent metric for CS executives and Customer Success Managers (CSMs). Telecom, Retail, Automotive) to add additional layers of insight. Mashery provided API Management solutions to customers in a multitude of industries, from startups to very large enterprises.
AWS Machine Learning
OCTOBER 5, 2022
The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics. Alexander Egorov is a Principal Streaming Architect, specializing in streaming technologies.
AWS Machine Learning
JULY 3, 2023
ResourceId=resource_id, # Endpoint name ScalableDimension="sagemaker:variant:DesiredInstanceCount", # SageMaker supports only Instance Count PolicyType="TargetTrackingScaling", # 'StepScaling'|'TargetTrackingScaling' TargetTrackingScalingPolicyConfiguration={ "TargetValue": 5.0, # The target value for the metric.
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