One of the hardest parts of implementing successful AI and machine learning projects is knowing what matters most. That’s why AI development is such a “trial and error” process. dotData accelerates your AI discovery with an automated solution that makes discovering the golden nuggets of your enterprise easier, so you can finally get to the “unknown unknowns” of your business.
Automate & Discover The Unknown
The Undiscovered Country of AI and Machine Learning
Leverage all your data for true insights
One of the most challenging and time-consuming parts of the data science process is feature engineering. Hypothesizing features and creating the necessary relationships between data tables is laborious and error-prone. dotData accelerates the process by letting you connect directly to data sources – and then discovering the multitude of entity relationships you need to create features, finally liberating all your data for genuine AI insights.
Gain insights you never knew you had
dotData automatically explores your enterprise data sets and creates millions of possible features, evaluating each one, and exposing the thousand most relevant, highest-scoring features available. It’s like having an army of data scientists running through experiments in real-time. With dotData’s automated feature engineering, you can discover insights you never knew you had.
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.
AI transparency made simple
How do you explain the value of your AI models to business users? How do you convert AI insights into real business value? dotData provides real feature transparency with an automated feature explanation that provides business-logic like an explanation for features that all business users can understand. It also lets you dig deeper, to see the discovered relationships needed to generate each feature, for real insight and transparency like you’ve never had before.
Empower subject matter experts with AI
The struggle of implementing effective AI strategies is that the people who have the most in-depth subject matter expertise about your business are often the least knowledgeable about data science. dotData’s full-cycle data science automation platform automates 100% of the data science process, finally giving your analysts and data engineers tools to help them build impactful, effective AI models in days instead of months with little or no knowledge of data science.
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.