Big Data DevOps Metadata 
NOVEMBER 22, 2024
The functional architecture with different capabilities is implemented using a number of AWS services, including AWS Organizations , Amazon SageMaker , AWS DevOps services, and a data lake. Solution overview The following diagram illustrates the ML platform reference architecture using various AWS services.
IBM Journey to AI blog
SEPTEMBER 5, 2024
The steering committee or governance council can establish data governance policies around privacy, retention, access and security while defining data management standards to streamline processes and certify consistency and compliance as new data is introduced.
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IBM Journey to AI blog
FEBRUARY 14, 2024
The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world data protected by privacy and copyright laws. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.
The MLOps Blog
JUNE 27, 2023
Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support.
AWS Machine Learning Blog
APRIL 21, 2023
model.create() creates a model entity, which will be included in the custom metadata registered for this model version and later used in the second pipeline for batch inference and model monitoring. In Studio, you can choose any step to see its key metadata. large", accelerator_type="ml.eia1.medium", large", accelerator_type="ml.eia1.medium",
AWS Machine Learning Blog
MARCH 5, 2025
The examples focus on questions on chunk-wise business knowledge while ignoring irrelevant metadata that might be contained in a chunk. He has touched on most aspects of these projects, from infrastructure and DevOps to software development and AI/ML. You can customize the prompt examples to fit your ground truth use case.
AWS Machine Learning Blog
AUGUST 31, 2023
Model cards are intended to be a single source of truth for business and technical metadata about the model that can reliably be used for auditing and documentation purposes. His core area of focus includes Machine Learning, DevOps, and Containers. They provide a fact sheet of the model that is important for model governance.
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