dotData Py is a flexible and scalable Python library that enables advanced users to access dotData’s data science automation functionality – including AI-powered feature engineering and automated machine learning – with just a few lines of Python code.
AutoML 2.0 for Experienced Teams
AutoML 2.0 as Python Library
dotData Py provides all the power of our award-winning full-cycle data science automation from raw data through feature engineering to machine learning as a Python library. At the same time you still benefit from flexibility to customize your own AI/ML workflow on Python. With dotData Py high-skilled teams can eliminate massive amount of cumbersome manual efforts and focus the most important business problems.
Leverage Python Ecosystem
dotData Py can be easily integrated with Jupyter and other Python development environments, enabling you to leverage the power of the rich Python ecosystem. All inputs and outputs are interfaced with Pandas or Spark DataFrames. You can easily plug AI-derived features into your customized ML algorithm.
AI-Powered Feature Engineering
dotData’s breakthrough AI engine automatically discovers feature hypotheses from a massive amount of data with complex relations. By combining and correlating transactional, text, geo-location, temporal and time-series data, dotData’s AI-powered Feature engineering uncovers “unknown unknowns” that you would have never imagined and delivers deeper business insights.
dotData makes your AI transparent and explainable. In addition to various model visualization, dotData automatically produces a “human-readable” explanation of each feature as well as a feature “blueprint” that visually outlines the detailed feature generation logic. In addition, dotData automatically discovered simplified forms of complex AI models with minimum accuracy sacrifice. With dotData, you can answer “why” to the AI-made decisions.
Data Science Automation Industry Solutions
Artificial Intelligence and Machine Learning can provide immense benefits to businesses across many industries. dotData’s products have been deployed in a multitude of use-cases across a broad spectrum of industries to help accelerate data science, improve performance and allow businesses to democratize AI and ML adoption.
Whether it’s mitigating fraud, modeling credit profiles, managing customer acquisition or implementing dozens of other use-cases, leverage dotData to help democratize and accelerate the process.
From forecasting admissions patterns to identifying healthcare “hot spots,” dotData can help healthcare organizations to run more efficiently and provide the quality of service patients demand.
Managing cost is just one of the many reasons insurance companies are investing heavily in Artificial Intelligence and Machine Learning. dotData helps make the process fast, transparent and scalable.
Fintech companies rely on flexibility, speed of execution and technology to help drive adoption and customer satisfaction. Leverage dotData to help automate your processes and improve customer satisfaction.
Creating an efficient and speedy manufacturing process is the goal of all manufacturing companies. dotData helps you leverage the power of data science to accelerate processes and minimize waste.
Whether it’s mapping customer acquisition patterns, modeling inventory churn or dozens of other use cases, dotData helps retailers automate the process of creating Machine Learning and Artificial Intelligence solutions.
Marketing has become as much science as it is art. Artificial Intelligence and Machine Learning can help create a scalable, repeatable and predictable marketing machine, and dotData can help you get there.