SAN MATEO, Calif., October 6, 2020 – dotData, focused on delivering full-cycle data science automation and operationalization for the enterprise, today announced that it will co-present with dotData client Convergint Technologies at the Forrester Data Strategy and Insights North America, taking place October 13-15, 2020 as a live virtual conference.
dotData’s vice president of Data Science, Aaron Cheng, Ph.D. and Tom Schmitt, Director, Enterprise Architecture for Convergint Technologies, will co-present a case study discussing how Convergint leveraged dotData’s no-code AI automation platform to accelerate their digital transformation initiatives using AI and Machine Learning, resulting in the ability to build forecasting models that were 70 percent more accurate than Cognizant’s benchmark without data scientists and in just a few hours. The session, Driving Digital Transformation with No-Code AI, will take place on Thursday, Oct 15 between 12:45 pm – 1:05 pm EDT. dotData will also host a virtual booth at Forrester Data Strategy and Insights where attendees can engage with dotData’s team to ask questions, see a demo of the dotData platform or download educational content.
“We are thrilled to be working with Convergint to help them streamline and accelerate their data science and AI programs to execute more business initiatives with their current resources,” said Ryohei Fujimaki, Ph.D., CEO and founder of dotData. “We hope our joint session at the Forrester conference will provide valuable insights into how businesses can leverage AI during economically challenging times to increase productivity and return on investment.”
dotData provides AutoML 2.0 solutions that help accelerate the process of developing AI and Machine Learning (AI/ML) models for use in advanced predictive analytics BI dashboards and applications. dotData makes it easy for BI developers and data engineers to develop AI/ML models in just days by automating the full life-cycle of the data science process, from business raw data through feature engineering to implementation of ML in production utilizing its proprietary AI technologies. 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 that are fundamental to developing predictive analytics solutions.
dotData democratizes data science by enabling BI developers and data engineers to make enterprise data science scalable and sustainable. dotData automates up to 100 percent of the AI/ML development workflow, enabling users to connect directly to their enterprise data sources to discover and evaluate millions of features from complex table structures and huge data sets with minimal user input. dotData is also designed to operationalize AI/ML models by producing both feature and ML scoring pipelines in production, which IT teams can then immediately integrate with business workflows. 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, AI/ML development 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 full-cycle data science automation platform, please visit dotData.com.
dotData Pioneered AutoML 2.0 to help business intelligence professionals add AI/ML models to their BI stacks 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 ownership 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 automated platform discovers patterns, optimizes ML models and makes it easy to deploy predictive algorithms without impacting operational 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 www.dotdata.com, and join the conversation on Twitter and LinkedIn.
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