One of the biggest challenges of any AI and machine learning project is that what works in the lab often does not work in production environment thus requiring time-consuming work to reimplement AI models for production deployment. Leverage dotData to automatically produce and deliver production-ready AI models to your business 10x faster.
Continuous AI Deployment & Maintenance
AI Models That Generate Continuous Value
AI Lifecycle Management, Simpler
dotData automates the production-ready API end-point generation that supports not only ML scoring, but the entire pipeline including data preparation and feature engineering. Validate model accuracy automatically and retrain models based on real-world data using an API-based integration. dotData makes deploying and maintaining your AI models faster and simpler than ever before.
Deploy Containerized AI Engine
You need only a single click to download the model package from dotData Enterprise or a single line of Docker command to launch dotData Stream. A production-ready prediction API end-point becomes immediately available. With dotData Stream, AI deployment in enterprise becomes simpler and easier than ever before.
Start Small, Scale As You Need
dotData’s pricing model is based on computation power that you need. That’s why you can start dotData from a small investment and scale as your AI/ML practice grows. dotData does not change, based on how many users are on the platform, to truly democratize enterprise AI and put AI/ML in the hands of all.
More than 90% of data science projects never make it past the lab. Download our free white paper: Data Science Operationalization and learn about the challenges with deploying ML and AI projects – and what you can do to get ahead of the problem. Learn how AutoML 2.0 solutions can help you get to production faster – with greater transparency.
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.