Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of application. With Amazon Kinesis, businesses can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications.
Amazon SageMaker is a cloud machine-learning platform that enables developers to create, train, and deploy machine-learning models in the cloud and on embedded systems and edge-devices.
AWS Glue is a fully managed ETL (extract, transform, and load) service to discover, prepare, and combine data for analytics, machine learning, and application development.
Keras is an API designed for human beings, not machines. it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It is a central part of the tighly-connected TensorFlow 2.0 ecosystem.
Microsoft Power BI converts data into rich interactive visualizations, utilizing business analytics tools to share dashboard-based insights across all devices.
Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.
Microsoft Dynamics with its intelligent business applications across CRM and ERP, Microsoft Dynamics 365 gives clients choice. Start with just what customrs need to run clients business and delight customers.