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Amazon SageMaker is a machine learning solution that enables data scientists and developers to create, train and deploy machine learning models. It supports batch and online learning, and comes with pre-built algorithms for common use cases.
It has an intuitive user interface, powerful algorithms and an enterprise-grade infrastructure that allows you to build your machine learning solution without having to be an expert in cloud infrastructure or deep learning.
SageMaker also has a library of machine learning tools that you can use without having to install any other software. Cloud service features include:
Hive is a software that works on Hadoop clusters creating a layer that allows the developer to abstract from the management of HDFS and MapReduce files through SQL-based data query operations, with the HiveQL language...
Pega's process automation platform, available both in the cloud and for installation on a web server (based on JAVA) and databases from different vendors, offers RPA (Robot Process Automation), Case Management and BPM (Business Process Management) capabilities, and low-code application development.
The main areas covered by Pega's solutions are:
- Customer Engagement (Pega Customer Decision Hub)
- Decision engine with Artificial Intelligence technology
- Customer Service (Pega Customer Service)
- Solutions with real-time AI capabilities and desktop automation to simplify service.
- Sales Automation (Pega Sales Automations)
- Sales automation with AI technology.
- Customer attraction and onboarding, with Pega Client Lifecycle and Pega Know Your Customer.
