Accountability APIs Automotive 
AWS Machine Learning
NOVEMBER 7, 2024
In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. Although the principles discussed are applicable across various industries, we use an automotive parts retailer as our primary example throughout this post.
AWS Machine Learning
NOVEMBER 14, 2024
In the automotive industry, the ability to efficiently assess and address vehicle damage is crucial for efficient operations, customer satisfaction, and cost management. By combining these powerful tools, we have developed a comprehensive solution that streamlines the process of identifying and categorizing automotive damage.
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AWS Machine Learning
NOVEMBER 11, 2024
If you don’t have Microsoft user account yet, see Add users and assign licenses at the same time. Create a Microsoft Teams account in Microsoft 365. Add necessary permissions: In the API Permissions section of your application page, choose Add a Permission. Next, prepare the Microsoft 365 tenant ID and OAuth 2.0
AWS Machine Learning
MAY 1, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
AWS Machine Learning
NOVEMBER 21, 2022
The following table shows the labels and confidence scores returned in the API response. Vehicles and automotive – Truck, Wheel, Tire, Bumper, Car Seat, Car Mirror, etc. By default, the API returns up to 10 dominant colors unless you specify the number of colors to return. Confidence Scores. Brooklyn Bridge. Improved labels.
AWS Machine Learning
JULY 3, 2023
Then, using the SageMaker API, we can start the asynchronous inference job as follows: import glob import time max_images = 10 input_locations,output_locations, = [], [] for i, file in enumerate(glob.glob("data/processedimages/*.png")): A list of models is available in the models_manifest.json file provided by JumpStart.
AWS Machine Learning
MAY 25, 2023
Prerequisites Complete the following prerequisite steps: If you’re a first-time user of QuickSight in your AWS account, sign up for QuickSight. Get insights from Amazon Kendra search metrics We can get the metrics data from Amazon Kendra using the GetSnapshots API. Please try out the solution and let us know your feedback.
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