dotData, delivering end-to-end data science automation and operationalization for the enterprise, is releasing Version 1.4 of its dotData Data Science Automation Platform, adding enhancements to the platform and providing users with deeper insights, increased flexibility, ease-of-use, and greater performance to meet their specific business goals.
dotData's AI-powered Data Science Automation Platform completely automates the entire data science process, from data collection through production-ready models, including feature engineering.
"One of the most exciting enhancements in Version 1.4 is the support of AI-powered feature engineering for geo-temporal data which are very rich but difficult-to-analyze data sources, providing deeper insights over a geographical spectrum," said Ryohei Fujimaki, PhD, dotData's CEO. "We've also made significant enhancements in the machine learning and data preparation components of the platform, giving enterprises the freedom to solve more data science challenges, faster."
Key updates of the dotData Platform Version 1.4 include:
- Feature Engineering from Geo-Temporal Data
- New State-of-the-Art Machine Learning Algorithms
- Enhanced Automatic Data Preprocessing
- Drag-and-Drop Data Collection
The dotData Platform accelerates the entire data science process from months to days, enabling companies to rapidly scale their AI/ML initiatives to drive transformative business changes.
The dotData Platform also democratizes the data science process by enabling more participants with different skill levels to effectively execute on projects.
For more information about these updates, visit https://dotdata.com/.