Data Science Automation (AutoML 2.0) is a technology pioneered by dotData designed to automate the full development life-cycle for Enterprise artificial intelligence (AI) and machine learning (ML) applications. dotData itself leverages AI to provide a seamless, scalable, and easy to use data science development environment that helps organizations develop AI and ML models in days instead of months.
Why Data Science Automation?
Why AutoML 2.0?
Over the last 10 years, there have been rapid advances in what are known as “AutoML” systems. Automated Machine Learning software, however, only automates the optimization and selection of the Machine Learning models. Data Science Automation (AutoML 2.0), on the other hand, automates the most complicated, and most time-consuming, part of the Enterprise AI development lifecycle – the feature engineering that takes months using traditional methods.
Four Pillars of AutoML 2.0
Unlike traditional Automated Machine Learning applications, dotData automates 100% of your ML and Enterprise AI lifecycle. From data ingestion and preparation, to feature engineering, Machine Learning selection, and integration of your ML and AI models into production environments, dotData can power your full data science lifecycle in days. dotData is the first and only Machine Learning Automation solution that addresses all four of the core pillars of Data Science Automation:
Accelerate AI/ML Processes
Acceleration of your AI/ML projects is a fundamental aspect of AutoML 2.0. Your data science automation solution should provide ways to automate all four critical steps in your Machine Learning and AI workflow: data ingestion, feature engineering, machine learning and integration of AI & ML models into production systems..
Democratize Enterprise AI
AutoML 2.0 must enable BA and BI users to execute the entire AI/ML process with neither SQL/Python/R nor complex visual programmings. Enterprise AI will be truly scalable and sustainable by leveraging BI & Analytics teams with AutoML 2.0
Augment Business Insights
The heart of enterprise data science is to discover business insights from the data. However, the traditional manual process limits you to explore only hypotheses that you have known. AutoML 2.0 leverage AI technologies to automatically discover deeper insights and “unknown unknowns” and augment your business insights.
Operationalize AI/ML in Business
AI and ML are not scientific experiments in the data science lab, but they must be deployed and integrated in your business process - continuously producing business values. AutoML 2.0 significantly simplifies continuous deployment, a seamless means of implementing ML and AI models and truly operationalizes AI/ML in your businesses.
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
AutoML 2.0 disrupts speed and scale of digital transformation by accelerating, democratize and operationalize Enterprise AI. dotData’s “white-box” approach provides deeper and more transparent business insights and transforms your organization to be more data-driven and AI-driven.
How dotData Automates Machine Learning and AI
dotData’s data science automation platform automates 100% of the data science process and helps users build accurate predictive models that are transparent and easy to deploy. Cut down your AI development times from months to days with dotData.