dotData to Present on AutoML 2.0 at Deep Learning World

dotData to Present on AutoML 2.0 at Deep Learning World

June 2, 2020

CEO to Discuss How AutoML 2.0 Can Empower BI Professionals to Implement AI, Machine Learning, and Predictive Analytics

San Mateo, June 1, 2020 – dotData, a leader in AutoML 2.0 software to help accelerate AI/ML development and operationalization for the enterprise, today announced that its founder and CEO, Ryohei Fujimaki, Ph.D., will present at the Deep Learning World conference, taking place virtually from May 31 – June 4, 2020. 

Mr. Fujimaki will present a session, From BI to BI+AI: Adding Predictive Analytics to Your BI Stack in Days, Not Months, on Tuesday, June 2 at 9:00 a.m. The session will discuss how the latest advancements in AutoML 2.0 can help business intelligence professionals rapidly and easily implement data science and machine learning, from source data through feature engineering to implementation of ML in production. dotData provides solutions that dramatically improve the productivity of data science projects, which traditionally require extensive manual effort from valuable and skilled resources, by automating the data science process utilizing its proprietary artificial intelligence technologies.

“dotData’s auto ML 2.0 platform makes data science a point-and-click operation, empowering business intelligence teams with a powerful tool to leverage their data for business insights. This frees businesses to focus on the results of their AI and machine learning applications, rather than the implementation,” said Mr. Fujimaki.

dotData’s AI-powered feature engineering automatically applies data transformation, cleansing, normalization, aggregation, and combination, and transforms hundreds of tables with complex relationships and billions of rows into a single feature table, automating the most manual data science projects.

dotData democratizes data science by enabling existing resources to perform data science tasks, making enterprise data science scalable and sustainable. dotData is also designed to operationalize data science by producing both feature and ML scoring pipelines in production, which IT teams can then immediately integrate with business workflow. This can further automate the time-consuming and arduous process of maintaining the deployed pipeline to ensure repeatability as data changes over time. With the dotData GUI, the data science task becomes a five-minute operation, requiring neither significant data science experience nor SQL/Python/R coding. For more information or a demo of dotData’s AI-powered AutoML 2.0 platform, please visit
About dotData
dotData pioneered AutoML 2.0 to help business intelligence professionals add AI/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’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 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 an “emerging vendor to watch” by CRN in the big data space 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.