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 Manual Processes
Acceleration of all manual processes is a fundamental aspect of data science automation and AutoML 2.0. Your data science automation solution should provide ways to accelerate all four critical steps in your Machine Learning and AI workflow: Data ingestion, feature engineering, machine learning model optimization and integration of AI & ML models into production systems. dotData accelerates the entire life-cycle.
Make AI and ML More Accessible (Democratization)
Your AutoML 2.0 platform should make it easy for your business to deploy AI and Machine Learning without having to hire an army of data scientists. Your AutoML 2.0 system should be able to provide the depth needed by data scientists, while also providing the required automation by business analysts, BI professionals, and executives.
Provide Deeper Insights (Augmentation)
Data science, by definition, requires you to begin with a Hypothesis. However, how do you know if you are missing out on the right hypothesis? How do you know if the challenges your AI and ML programs are addressing are the right ones? Your data science automation platform should automatically generate features and insights for your business by analyzing your data and providing insights that you had never considered. This is a key feature of all AutoML 2.0 platforms.
Deploy Models at Scale (Operationalization)
ML and AI models often work flawlessly in the lab, but your production data changes over time - impacting model perofrmance. Your AutoML 2.0 solution should provide for continuous deployment, a seamless means of implementing ML and AI models, while also giving you the flexibility to make changes - in real-time - that improve your models based on real-world learnings, seamlessly.
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.
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.