Unified platform with oversight and control but enables practitioners to self manage. Full MLOps solution (all infrastructure as code) that enables self-serve with unlimited personalised tooling options. Resources are independent, fit-for-purpose that scale with controlled collaboration, automated pipelines that can be shared easily, data store that tracks the provenance of data, and enables reproducible data science. Includes experiment tracking, catalogue of AI model versions and CI/CD across the end-to-end model lifecycle. Support integrations with third party analytics applications and multi-cloud access.Fully managed native cloud services to greatly reduce long term maintenance/support costs typical of non-native Data Platform solutions. AWS services include IoT Core, S3, Lambda, CloudFormation, DynamoDB, SageMaker, and more. Some of the benefits include: - AWS IoT Core enables you to connect devices to AWS Services and other devices, secure data and interactions, process and act upon device data, enables applications to interact with devices even when they are offline and that allows you to produce low-cost Alexa built-in devices. - Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data import and export tools. - AWS Cloud Formation simplifies provisioning and management on AWS. You can create templates for the service or application architectures you want and have AWS CloudFormation use those templates for quick and reliable provisioning of the services or applications (called “stacks”). - AWS Lambda provides you a serverless architecture and allows you to run a piece of code in the cloud after an event trigger is activated. When using AWS Lambda, you have a scalable, small, inexpensive function with version control. You can focus on writing code, not on configuring infrastructure.