The Top 5 AI & Machine Learning Trends for 2021 And Beyond

Come see us at Predictive Analytics World 2019!

June 5, 2019

dotData is excited to be the diamond sponsor for this year’s Predictive Analytics World exhibition at Caesars Palace in Las Vegas, NV, June 16 to the 20th. This year promises to be an exciting show with over 1,000 attendees expected and a ton of informative sessions and exhibitors.  

We are also thrilled to announce that our CEO, Ryohei Fujimaki, will be speaking at 9:40AM in the Octavious ballroom on how automation is poised to change data science. Don’t forget to stop by and see us at booth 502, to see the exciting innovations that we will be discussing for both our Enterprise dotData platform, as well as our dotData Py, our Python interface-based platform designed specifically for data scientists.

Speaking of dotData Py, Aaron Cheng, our Vice President of Data Science and Solutions, will be hosting a “lunch and learn” session in Octavius rooms 13 & 14 at 12:20PM on Tuesday, June 18th, to showcase dotData Py and discuss how data science automation can provide significant benefits to experienced data scientists. Aaron will be providing a hands-on demonstration of a new platform that is integrated with PySpark on Jupyter Notebook that radically simplifies the end-to-end data science process through the use of a single line of code.

PAW 2019 will also be a great opportunity to stop by booth 502 and see why Forrester just recently named dotData a Leader in The Forrester New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019. Stop by the booth to find out how you can receive a complimentary copy of the report, and to get a personal demonstration of our platform – whether you are a data scientist, BI analyst or executive.


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.