The heart of enterprise data science is to discover business insights from the data. Unlike the traditional manual process that limits you to explore only hypotheses that you have known, AutoML 2.0 leverages AI technologies to automatically discover deeper insights and the “unknown unknowns” that transform your business.
Transform Your Business with AI-driven Insights
Augment Your Data Insights with AI Automation
Unlock All Your Data For True Insights
Traditional manual AI development has restricted you to explore only limited part of your data. dotData AI-powered feature engineering automatically explores all your data stored in various business systems and discovers millions of hypotheses. With dotData, you can unlock the maximum data potential and extract true business insights.
AI That Can Answer “Why”
dotData makes your AI transparent and explainable. In addition to various model visualizations, dotData automatically produces a “human-readable” explanation of each feature as well as a feature “blueprint” that visually outlines the detailed feature generation logic. With dotData, you can answer “why” to the AI-made decisions.
More than 90% of data science projects fail. A big reason for these failures is the sheer lack of data scientists. In fact, according to LinkedIn, there was a shortfall of 150,000 data scientists in 2018 alone. Download our free white paper: How to Stop Data Science Projects From Failing and see how AutoML 2,0 can help you automate your ML and AI projects and succeed.
Discover Multi-Modal Insights
dotData’s breakthrough AI engine automatically discovers feature hypotheses from a massive amount of data with complex relations. By combining and correlating transactional, text, geo-location, temporal and time-series data, dotData’s AI-powered Feature engineering uncovers “multi-modal” insights that you would have never imagined.
From Explainable to Actionable
Unlike mathematical feature hypotheses that “AI experts” tend to generate purely for accuracy improvement, dotData’s features are designed for business teams to understand the underlining contexts and take continuous actions to improve businesses. With dotData’s features, AI outcomes become more actionable beyond explainable.
The Right Product for the Right User
Start by selecting the product you need, based on your environment, your use-case and your need to “get dirty” with the details of your data science workflow.
AutoML 2.0 & Data Science Automation
Leverage a full GUI experience to automate as much of your data science workflow as necessary. Empower citizen data scientists and data scientists alike.
AutoML 2.0: Data Science Automation Accelerates Your Business
Scaling a data science practice is challenging, time-consuming, and expensive. With Automated Data Science, you can empower data analysts, software engineers, and BI professionals to build and benefit from predictive models. Through Data Science Automation, you can embed models into applications seamlessly, while freeing up the time of your data science team to be more productive.
BI & Data Analysts
Unlike traditional AutoML systems that require users with in-depth knowledge of data wrangling and constructing feature tables, dotData automates 100% of the data science process. With dotData and minimal training, your BI team and data analysts can quickly learn to contribute to your ML and Enterprise AI initiatives, freeing precious resources and accelerating time to market for your AI & ML initiatives.
Data scientists spend 80% of their time in wrangling with data and constructing complex feature tables. By automating the entire workflow, you can liberate your data science team from the mundane tasks associated with data science and give them the power to provide tangible value to your business in a scalable, seamless manner that is not possible with hand-coded approaches or traditional AutoML platforms.
IT & Software
Integrating your AI and Machine Learning models into production environments is a crucial step in deriving value from your Enterprise AI projects. dotData gives your IT and engineering teams a seamless API-based integration model that enables Continuous Deployment and makes deploying and maintaining models fast and straightforward.
Executives and Line of Business
Giving executives and line of business leaders insights into the Machine Learning and Enterprise AI process provides the transparency and line of sight needed to keep projects moving and provide discernible ROI and value for the organization.