According to a recent press release, “dotData, the first and only company focused on delivering full-cycle data science automation and operationalization for the enterprise today announced the availability of Version 1.6 of dotData Data Enterprise and Version 1.2 of dotDataPy. The new updates add significant enhancements to both versions of its data science automation platform, to provide users with deeper insights, increased flexibility, and greater security to meet their specific business goals. 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 (AI) technologies. dotData was recently named a Leader in The Forrester New Wave™: Automation-Focused Machine Learning (AutoML) Solutions, Q2 2019.”
The release continues, “Key updates of the dotData Enterprise Version 1.6 and dotDataPy Version 1.2 include: (1) AI-powered Feature Engineering for Text Data. dotData now supports automated feature engineering for text data and unlocks valuable – but difficult to analyze – text information such as call center customer feedback, sales reports, meeting minutes, etc. This feature is truly unique to dotData in that users can now analyze text data in combination with other types of information to automatically produce more profound, more valuable insights from data such as text transaction data, geo-locational text data, and temporal text data as well as traditional “static” text data, delivering new levels of value to enterprises. (2) Deep Learning in AutoML. dotData now supports state-of-the-art deep learning frameworks such as TensorFlow and PyTorch as part of its AutoML capability. Now, data scientists, as well as “citizen” data scientists, can quickly test out advanced neural network methods. Additionally, to enhance model transparency for the advanced but “black-box” models, advanced feature validation methods such as permutation importance are now supported and available both on dotData GUI and dotDataPy.”
Read more at PR Newswire.
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