An integrated data analytics platform - Accelerate digital transformation with data analytics
Prebuilt analytics models from best practices proven in the fields allow you to secure data-based insights faster than anyone else, because they can be instantly applied to your business.
Brightics Machine Learning can quickly process large amounts of data and present the results in a chart. It supports rendering of data with up to 100 million rows.
Even expert analysts can benefit from the recommendations. Optimal algorithms for the analysis environment and data guarantee easy modeling for the best analysis results.
The detailed instructions explaining the analysis process in each stage allows anyone to analyze data with excellent results.
You don't have to be a data expert: Based on Brightics Machine Learning, anyone can easily do data analytics through analytics models that can be utilized in various industries.
IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment (Doc # AP48940522, October 2022)
MarketScape Asia/Pacific (Excluding Japan) Vision AI Software Platform 2021 Vendor Assessment, IDC
in Magic Quadrant for Data Science and Machine Learning Platforms, March 2021, Gartner
in The Forrester Wave™ : Multimodal Predictive Analytics and Machine Learning, Q3 2020, Forrester
Without complicated coding, the drag & drop function visualizes the workflow. This also enables to have a glimpse of input/output data and applied algorithms, which helps on-site/industry experts easily analyze data.
By providing the most optimized algorithm for data and functions that suggest algorithms to suggest proper parameters, on-site experts can easily do modelling. This can minimize trial and error in the course of finding the most optimized model and learning factors.
By providing the service of Guided Analytics that explains the analytics courses in each stage in detail, users can easily analyze difficult data while following the guideline stage by stage.
It is possible to immediately edit and serve analytics results as a report. By registering the scheduler, automatic updates are supported. Users can quickly check out the data and report that they want whenever.
x86 server with 3 or more nodes
-CPU: 8 cores/Node
-Operating system: Linux 64bits
- Browser : Chrome (Version 50.0 or higher)
- Screen resolution: 1280 x 900 (recommended)
RDB, File, HDFS
Scala, SQL, R, Python
SDS Cloud, Amazon Web Service, MS Azure, Google Cloud, etc.
This is the guideline for users of Brightics Machine Learning.
This is the tutorial for Brightics Machine Learning.
This is the chart option guideline for Brightics Machine Learning.
This is the help for function of Brightics Machine Learning.
This is the guideline for developers of Brightics Machine Learning.
This is the API for Brightics Machine Learning.
Whether you’re looking for a specific business solution or just need some questions answered, we’re here to help.
Brightics AI is an AI-powered analytics platform designed to provide an integrated environment for fast and accurate business analytics. It covers the entire lifecycle of data from data collection and analysis to utilization by using different modules including data preparation, machine learning, and deep learning. It allows everyone to easily perform structured and unstructured data analysis, build analytics models and work with others seamlessly using intuitive, easy-to-use modeling tools and functions without specialized data science knowledge or scripting. Brightics AI has more than 100 references across various industries, including manufacturing, marketing, logistics, security, and healthcare. Brightics AI represents one of Samsung SDS’s five key technology areas — AI, blockchain, cloud, data analytics and security (ABCDS) and can be complemented with other proprietary offerings, such as Samsung Cloud and Brightics IoT. Take advantage of the Brightics AI trial service, provided free of charge for 60 days, in a cloud environment here today.
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