dotData Launches dotData Py Lite, Putting the Power of AI Automation on Every Data Scientist

dotData and Snowflake Integration Automates Full-Cycle AI Development from Data Through Automated Feature Engineering to AutoML

June 15, 2021

Integration Empowers Customers to Quickly and Easily Gain Insights and Intelligence Faster from Their Data

SAN MATEO, Calif., June 15, 2021 dotData, a leader in full-cycle enterprise AI automation solutions, today announced the availability of dotData Platform with Snowflake, a leading Cloud Data Platform.

The new integration streamlines and simplifies the movement of data between Snowflake and dotData to help the companies’ joint customers democratize data science for the enterprise and derive more value from their AI and machine learning initiatives. Now, with a few clicks, all Snowflake users can leverage dotData’s award-winning automated feature engineering to discover hundreds of feature patterns from massive amounts of data stored in Snowflake and to automate full-cycle AI development from data collection and preparation through Automated Feature Engineering (AutoFE) to machine learning operationalization.

“We are thrilled to be able to provide the power of Automated Feature Engineering for Snowflake clients. This will open up a new world of possibilities for companies that leverage the data stored in their Snowflake ecosystem to be able to build and discover features automatically using dotData’s powerful Automated Feature Engineering,” said Ryohei Fujimaki, Ph.D., founder and CEO of dotData.

dotData automates feature engineering, the most manual and time-consuming step in AI and ML projects. dotData’s proprietary AI technology automatically discovers hidden patterns behind hundreds of tables with complex relationships and billions of rows and AI-features for your AI and ML algorithms. Until now, feature engineering has 100 percent relied on intuition and experience of domain experts and data scientists. With dotData, you can leverage AI to discover unknown-unknowns and build greater AI and ML models. 

Experienced data science teams can leverage dotData’s AI features to augment in-house developed features. Automated feature engineering (AutoFE) provides a fast and automated means to rapidly prototype use cases, explore new datasets to find important patterns, and improve accuracy of AI and ML models. It is available as a Python library seamlessly integrated with your existing Python workflow, and cuts 80 percent of time to develop features for your AI and ML models.   

Business intelligence and analytics teams can leverage dotData’s no-code AI/ML automation solution to make their reporting and dashboards more predictive and actionable. It offers a streamlined integration of AutoFE and automated machine learning (AutoML) and allows you to develop production-ready features and ML models from raw business data, in just days.

About dotData
dotData pioneered AI-Powered Feature Engineering to accelerate and automate the process of building AI/ML models, to drive higher business value for the enterprise. dotData’s automated data science platform accelerates ROI and lowers the total cost of model development by automating the entire data science process that is at the heart of AI/ML. dotData ingests raw business data and uses an AI-based engine to automatically discover meaningful patterns and build ML-ready feature tables from relational, transactional, temporal, geo-locational, and text data.

dotData’s scalable, flexible platform enables data data scientists to discover and evaluate outstanding AI features; and empowers business intelligence professionals to addAI/ML models to their BI stacks and predictive analytics applications quickly and easily. Fortune 500 organizations around the world use dotData to accelerate their ML and AI development to drive higher business value. 

dotData has been recognized as a leader by Forrester in the 2019 New Wave for AutoML platforms. dotData has also been recognized as the “best machine learning platform” for 2019 by the AI breakthrough awards; was named a CRN “emerging vendor to watch” in the big data space in 2019 and featured on CRN’s 2020 and 2021 Big Data 100 list; and was named to CB Insights’ Top 100 AI Startups in 2020. For more information, visit, and join the conversation on Twitter and LinkedIn.
Jennifer Moritz
Zer0 to 5ive for dotData


dotData Inc.

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process – feature engineering and operationalization. Learn more at, and join us on Twitter and LinkedIn.