IBM Journey to AI blog
JUNE 2, 2023
Automate routine tasks to free up time to provide personalized services and build relationships with families. IBM Operational Decision Manager (ODM) enables businesses to respond to real-time data by applying automated decisions, enabling business users to develop and maintain operational systems decision logic.
AWS Machine Learning Blog
JANUARY 5, 2024
Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. The suite of services can be used to support the complete model lifecycle including monitoring and retraining ML models.
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IBM Journey to AI blog
NOVEMBER 24, 2023
Application modernization is the process of updating legacy applications leveraging modern technologies, enhancing performance and making it adaptable to evolving business speeds by infusing cloud native principles like DevOps, Infrastructure-as-code (IAC) and so on.
AWS Machine Learning Blog
OCTOBER 18, 2023
Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. Developing a custom model to analyze images is a significant undertaking that requires time, expertise, and resources, often taking months to complete. Start the model version when training is complete.
AWS Machine Learning Blog
MAY 16, 2024
When training is complete (through the Lambda step), the deployed model is updated to the SageMaker endpoint. When the preprocessing batch was complete, the training/test data needed for training was partitioned based on runtime and stored in Amazon S3.
The MLOps Blog
JANUARY 23, 2023
Lived through the DevOps revolution. If you’d like a TLDR, here it is: MLOps is an extension of DevOps. Not a fork: – The MLOps team should consist of a DevOps engineer, a backend software engineer, a data scientist, + regular software folks. We need both automated continuous monitoring AND periodic manual inspection.
AWS Machine Learning Blog
MAY 7, 2024
They are designed for real-time, interactive, and low-latency workloads and provide auto scaling to manage load fluctuations. Limitations This solution has the following limitations: The model provides high-accuracy completions for English language. Mateusz Zaremba is a DevOps Architect at AWS Professional Services.
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