Integrate AI and machine learning models with speed and simplicity with dotData. Deploy models with one line of code, make changes without impacting production environments and with effortless integration.
Continuous AI Deployment With dotData
Make Deployment & Maintenance Headaches Disappear
According to a 2019 survey by Dimensional Research, 96% of AI projects never leave the lab, and according to IDC, “skill shortages” are the top reason for AI failures. dotData helps you maximize ROI from investments in AI and supporting infrastructure with tools that help you scale data science practice. Empower business analysts, data scientists, software developers, and data professionals to build and deploy machine learning models in days instead of months.
Deploy Models With One Line of Code
Models built using dotData are production-ready from day one. Using our advanced API, you can integrate AI models using just a few lines of code and leverage your full infrastructure to scale your needs quickly. Better still, updating models based on real-world feedback is just as simple, since it can be done behind the scenes with our Continuous Deployment model.
dotData enables a scalable, continuous deployment model for your AI and machine learning models using our powerful API integration. With dotData continuous deployment, you can leverage the real-world learnings that always impact AI models in production environments. Changes can be made to models in the background and propagated to your production environments seamlessly.
Deploying what works in your lab – and keeping your Machine Learning and AI model updates as your production data changes can be huge challenges for any IT organization. Download our free white paper: Data Science Operationalization to see how AutoML 2.0 can help solve your deployment challenges.
Bring transparency to your AI deployments
According to IDC, “unrealistic expectations” is cited as the second most significant reason for AI project failures. dotData helps you bring the level of transparency you need to successfully monetize and integrate your AI models by giving business users the ability to see the data relationships behind ML features in business-user friendly language and visualizations that provide them with the transparency they need to monetize AI investments quickly.
Pricing that democratizes data science
Scaling your data science practice using user-based pricing models is difficult and expensive. dotData makes scaling your in-house data science practice easy and intuitive with a usage-based pricing model that scales based on your need for AI and machine learning models, not based on the number of users you want to empower.
Empower citizen data scientists
A 2019 report by IDC cited “skills shortages” as the single, most significant reason for AI failures. This data is backed by a 2018 LinkedIn survey that found a shortage of more than 150,000 people with data science expertise. dotData helps you democratize your data science practice with a 100% automated product that allows business analysts, data experts, and even data scientists create usable, accurate AI models in days instead of months.
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.
Put Data to Science to Work for Your Business
Artificial Intelligence and Machine Learning can provide immense benefits to businesses across many industries. dotData’s AI-powered solutions can help you maximize your return on investment on your AI and Machine Learning dollars by automating the hardest, most time-consuming parts of the data science process.
Data Science Productivity
Boost the productivity of your data science team by providing them a platform that helps them acclerate the hardest, most time-consuming parts of their workflow.