APIs Big data Consulting Enterprise 
AWS Machine Learning
JUNE 30, 2022
In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.
AWS Machine Learning
AUGUST 2, 2023
An example of a customized image search is Enterprise Resource Planning (ERP). In ERP, image data collected from different stages of logistics or supply chain management could include tax receipts, vendor orders, payslips, and more, which need to be automatically categorized for the purview of different teams within the organization.
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AWS Machine Learning
FEBRUARY 29, 2024
Knowledge Bases for Amazon Bedrock supports multiple vector databases, including Amazon OpenSearch Serverless , Amazon Aurora , Pinecone, and Redis Enterprise Cloud. For enterprise implementations, Knowledge Bases supports AWS Key Management Service (AWS KMS) encryption, AWS CloudTrail integration, and more.
AWS Machine Learning
SEPTEMBER 21, 2022
Scaling ML effectively for the long term requires the professionalization of the industry and the democratization of ML literacy across the enterprise. This setup also relies on using an enterprise IdP with AWS IAM Identity Center (Successor to AWS Single Sign-On) enabled. Consult your IdP’s documentation for more details.
DMG Consulting
MAY 26, 2020
The greatest areas of investment in service organizations and contact centers are in AI, robotic process automation (RPA), big data and digital-oriented applications, all of which are delivered via the cloud. The idea is to make systems interoperable through easy-to-use application programming interfaces (APIs).
AWS Machine Learning
AUGUST 29, 2022
You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. The data scientist is now able to describe and monitor the test pipeline run status using SageMaker API calls from the dev account.
DMG Consulting
DECEMBER 10, 2018
The “platform as a service” paradigm, which essentially leverages application programming interfaces (APIs) to build out functional capabilities, makes it easier to build your own solution (BYOS). For example, a customer does not want to wait while an agent/advisor types up their notes or copies and pastes data in multiple systems.
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