APIs Big data Finance 
AWS Machine Learning
DECEMBER 18, 2023
Industries such as Finance, Retail, Supply Chain Management, and Logistics face the risk of missed opportunities, increased costs, inefficient resource allocation, and the inability to meet customer expectations. Solution overview Users persist their transactional time series data in MongoDB Atlas.
AWS Machine Learning
MARCH 22, 2023
Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. For data scientist: An S3 bucket that Data Wrangler can use to output transformed data. His knowledge ranges from application architecture to big data, analytics, and machine learning.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Machine Learning
SEPTEMBER 11, 2024
In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.
AWS Machine Learning
SEPTEMBER 6, 2023
Perform intelligent search with Amazon Kendra Before you try searching on the Amazon Kendra console or using the API, make sure that the data source sync is complete. To check, view the data sources and verify if the last sync was successful. She is passionate about designing big data workloads cloud-natively.
AWS Machine Learning
JUNE 24, 2022
This might be a triggering mechanism via Amazon EventBridge , Amazon API Gateway , AWS Lambda functions, or SageMaker Pipelines. In addition to the model endpoint, the CI/CD also tests the triggering infrastructure, such as EventBridge, Lambda functions, or API Gateway. Data lake and MLOps integration.
CSM Magazine
JULY 28, 2015
As in other verticals such as retail, health and finance, the consumer is now at the center of operational design and customer satisfaction is the new and key-performance index. These business models need to be revisited. The challenge for many providers is executing on this vision.
Hello Customer
JUNE 21, 2023
In 2018 we saw a similar evolution in the data space. Up until then, organizations often used big data warehouses to centralize all their data. The downside was that that data never fitted a specific use case: the finance department wants to see data in a different way than the product or marketing team.
Expert insights. Personalized for you.
131 
Let's personalize your content