dotData to Present on Full-Cycle Data Science Automation at TDWI Las Vegas 2020
CEO and Vice President of Data Science and Solutions to Discuss Future-Proofing Your Analytics, AI, and Data Strategies
San Mateo, CA – Feb. 6, 2020 – dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced that it will present in two sessions at the TDWI Las Vegas Strategy Summit for Analytics, taking place February 10-11 at Caesars Palace, Las Vegas. dotData Vice President of Data Science and Solutions, Aaron Cheng, Ph.D., will participate in an expert panel session, Future-Proofing Your Analytics, AI, and Data Strategies, on Monday, February 10 at 2:15 p.m. Additionally, Dr. Cheng will give a demonstration of dotData’s full-cycle data science automation platforms on Tuesday, February 11 at 1:15 at the TDWI exhibit floor theater. dotData will also provide more in-depth personalized demos of its dotData Enterprise Version 1.6 and dotDataPy Version 1.2 in booth #201 throughout the conference to demonstrate how its full-cycle data science automation platform combines AI-powered feature engineering and AutoML to automate the full life-cycle of the data science process, 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. “While substantial investments are being made into AI and machine learning across many industries, the scarcity of data science skills and resources often limits the advancement of AI and ML projects within organizations,” said Mr. Cheng. “That’s why autoML 2.0 platforms like dotData need to be considered as a critical component to any enterprise data science program. Our platform helps users accelerate data science and execute more business initiatives whilst maintaining the current investments and resources. This frees businesses to focus on the results of their AI and machine learning applications, rather than the implementation.”
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.
If you are interested in meeting with dotData at TDWI, contact firstname.lastname@example.org. For more information or a demo of dotData’s AI-powered full-cycle data science automation platform, please visit dotData.com
dotData is the first and only company focused on full-cycle data science automation. Fortune 500 organizations around the world use dotData to accelerate their ML and AI projects and deliver higher business value. dotData’s automated data science platform speeds time to value by accelerating, democratizing, augmenting and operationalizing the entire data science process, from raw business data through data and feature engineering to ML in production. With solutions designed to cater to the needs of both data scientists as well as citizen data scientists, dotData provides unmatched value across the entire organization.
dotData’s unique AI-powered feature engineering delivers actionable business insights 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 and was named an “emerging vendor to watch” by CRN in the big data space. For more information, visit www.dotdata.com, and join the conversation on Twitter and LinkedIn.
Zer0 to 5ive for dotData