Towards AI
APRIL 27, 2023
for e.g., if a manufacturing or logistics company is collecting recording data from CCTV across its manufacturing hubs and warehouses, there could be a potentially a good number of use cases ranging from workforce safety, visual inspection automation, etc. 99% of consultants will rather ask you to actually execute these POCs.
AWS Machine Learning Blog
JANUARY 5, 2024
Artificial intelligence (AI) and machine learning (ML) offerings from Amazon Web Services (AWS) , along with integrated monitoring and notification services, help organizations achieve the required level of automation, scalability, and model quality at optimal cost.
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MARCH 13, 2023
With terabytes of data generated by the product, the security analytics team focuses on building machine learning (ML) solutions to surface critical attacks and spotlight emerging threats from noise. These endpoints are fully managed, load balanced, and auto scaled, and can be deployed across multiple Availability Zones for high availability.
AWS Machine Learning Blog
NOVEMBER 9, 2023
Automated retraining mechanism – The training pipeline built with SageMaker Pipelines is triggered whenever a data drift is detected in the inference pipeline. It also provides select access to related services, such as AWS Application Auto Scaling , Amazon S3, Amazon Elastic Container Registry (Amazon ECR), and Amazon CloudWatch Logs.
AWS Machine Learning Blog
MARCH 1, 2023
Continuous ML model retraining is one method to overcome this challenge by relearning from the most recent data. This requires not only well-designed features and ML architecture, but also data preparation and ML pipelines that can automate the retraining process. We define another pipeline step, step_cond.
The MLOps Blog
JANUARY 23, 2023
Not a fork: – The MLOps team should consist of a DevOps engineer, a backend software engineer, a data scientist, + regular software folks. I don’t see what special role ML and MLOps engineers would play here. – We should build ML-specific feedback loops (review, approvals) around CI/CD. How about the ML engineer?
DataRobot Blog
JANUARY 10, 2023
DataRobot Notebooks is a fully hosted and managed notebooks platform with auto-scaling compute capabilities so you can focus more on the data science and less on low-level infrastructure management. Auto-scale compute. In the DataRobot left sidebar, there is a table of contents auto-generated from the hierarchy of Markdown cells.
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