dotData Py Lite Released
May 5, 2021
Py Lite is a new containerized AI automation solution to enable data scientists
to execute quick POCs and deploy dotData on their desktop. Designed for Python
data scientists, dotData Py Lite offers dotData's award-winning automated
feature engineering and automated machine learning (ML) in a portable
environment, allowing data scientists to explore 100x more features, augment
their hypotheses, and improve their ML models quickly without having to rely on
large and expensive enterprise-AI environments.
Containerized predictions from data through feature to ML scoring
One-minute installation on Windows, MacOS or Linux
Minimum resource requirements (2 CPU cores and 4GB of RAM)
Fully compatible with cluster-based dotData Py and dotData Enterprise deployment for scale-out
"Great machine learning algorithms
do not guarantee great AI models -- the secret is feature engineering. Whether
using machine learning for product demand forecasting, customer churn, revenue
recovery, or failure detection, building strong features is difficult but
critical to developing accurate predictions," said Ryohei Fujimaki, Ph.D.,
founder and CEO of dotData. "dotData Py Lite was created to put the power of
enterprise-grade automated feature engineering on everyone's laptop. It takes
one minute to install, ten minutes to develop, and deploys instantly."
Powerful yet easy library to explore a broad range of feature hypotheses via automated feature engineering for data scientists
Simple and portable way to deploy and productionalize E2E AI pipelines from data and feature engineering to ML scoring as AI micro-services via automated containerization for IT and engineering teams
dotData automates feature
engineering, the most manual and time-consuming step in AI and ML projects.
dotData's proprietary AI technology automatically discovers hidden patterns
behind hundreds of tables with complex relationships and billions of rows and
AI-features for your AI and ML algorithms. Until now, feature engineering has
100 percent relied on intuition and experience of domain experts and data
scientists. With dotData, you can leverage AI to discover unknown-unknowns and
build greater AI and ML models.