AI and Machine Learning Platform
A Machine Learning Platform
to Promote the Use of AI and Machine Learning
Across the Organization
Since the platform also supports no-code and low-code development, it can be used without knowledge of program code and can be operated intuitively with GUI (*1). This makes it easy not only for data scientists and data engineers with high expertise in data analysis, but also for general business users to access and analyze data with a simple click, and to incorporate AI into their work.
Users in different departments and roles across the enterprise can routinely and easily access data and AI on a single platform, enabling efficient use of data and AI across the organization.
Do you face
these issues when using AI?
Lack of human resources
to promote use of data and AI
tools and processes
between users in different departments and roles
for safe and secure data utilization
across the organization
By combining the expertise of Dataiku and NTT DATA INTELLILINK,
we can solve various issues related to the use of corporate data and AI, and
provide a one-stop shop for efficient use of data and AI across the organization
has been providing one-stop support from consulting to construction and operation for the implementation of infrastructure for various industries,
and has cultivated extensive knowledge through this over the years. In addition to providing Dataiku, we offer a system that includes data accumulation and analysis infrastructure.
Features Dataiku Features
Easy to use, even for users with
no technical expertise
Improving Productivity through Collaboration
Streamline data preparation
Security and Governance
Functional overview Overview of Dataiku Features
Cleanse and transform (all with code, no code, or low code, depending on user preference).
Utilizing an extensive library of embedded processors, the system handles everything from simple data processing to advanced processing.
Gain visual insights through built-in graphs and dashboards, or customize them using interactive Python, R, and SQL notebooks.
Quickly and visually analyze columns for a detailed view of your data, including distribution of values, auto-detected outliers, invalids or missing values and overall summary statistics.
Governance and MLOps
Package all necessary elements from the design environment to execution in the production environment in project bundles.
Built-in data drift monitoring detects issues before they affect model performance.
Project planning and approval functions ensure quality and governance of production work.
Leverage AutoML, which is configurable and equipped with the latest machine learning libraries (scikit-learn, MLlib, XGBoost, TensorFlow, Keras, etc.).
Customize your code directly in Python or R to take advantage of advanced custom machine learning.
Advanced data scientists can use commonly used code notebooks and integrated development environments (IDEs) such as Jupyter, PyCharm, RStudio, and VSCode.
Using Dataiku's visual flows and recipes, coders and non-coders alike can easily build data pipelines for aggregation, merging, and other transformations.
The built-in scheduler can be leveraged to automatically update dashboards and pipelines, eliminating the need for IT personnel to be involved in routine automation tasks.
Stakeholders can use dashboards, alerts, and project summaries to understand the activity, status, and health of projects in production.
You can leverage Dataiku's project logic to create custom web applications. Project logic allows business users and analysts to provide information and generate answers and insights in an interactive, on-demand fashion.
Leverage the built-in Dataiku dashboard or push data and results to key visualization platforms to distribute information to more people in your organization.
Lineup Dataiku Lineup
Runs on Cloud Services of Google Cloud Platform Dataiku Cloud Stacks