DataRobot

What is DataRobot?

DataRobot is a top company focused on Value-Driven AI, and their main goal is to speed up how AI goes from an idea to making a real impact. They’ve been leading the way in AI innovation for more than ten years, really trying to make a big difference in business, technology, and the world overall. DataRobot’s approach to AI is all about improving business dealings, how people interact, and life in general. They do this by making Value-Driven AI a core skill for companies, helping them run better, grow faster, and work smarter.

Who created DataRobot?

DataRobot was started by a group of people who are really committed to diversity, equity, and inclusion. Teamwork and new ideas are super important to the company. DataRobot wants to help organizations adopt Value-Driven AI as a key part of how they operate. The founders’ focus on giving customers value and always getting better led to big achievements, like launching the very first automated machine learning solution and getting the first patent for predictive data analytics.

What is DataRobot used for?

Here are some ways DataRobot is making a difference:

• FordDirect uses it to understand customers and prospects much faster for their digital marketing.
• Freddie Mac applies AI to double their analytics team’s productivity and helps them work towards affordable housing goals.
• OYAK Cement is boosting their use of alternative fuels and cutting down CO2 emissions.
• 84.51° creates more personalized shopping experiences for Kroger customers.
• BSI is delivering value quickly for their digital transformation projects.
• DataRobot itself uses it to support diverse communities and build a culture where everyone feels they belong.

Who is DataRobot for?

DataRobot is a great tool for:

• Data scientists
• Data Analysts
• AI specialists
• Machine learning engineers
• AI experts
• Data engineers

How to use DataRobot?

Getting started with DataRobot is pretty straightforward. Here’s a breakdown of how you can use it:

1. Collaborative Experimentation: You can use the Collaborative Experimentation feature to team up with others on building models. It makes working together much smoother.
2. Production Scale Value: Once your models are ready, you can scale them up for real-world use with the Value at Production Scale feature. This helps you get your AI into action efficiently.
3. Governance and Compliance: DataRobot helps you stay on the right side of rules and regulations with its Assured Governance and Compliance feature. This is crucial for trustworthy AI.
4. Purchase Options: You have a few ways to buy DataRobot. You can go directly through DataRobot, work with their partners, or find it on Cloud Marketplaces.
5. Pricing and Subscription: DataRobot is typically priced as an annual subscription. This means you can customize it to fit your specific business goals and budget.
6. Key Features: Dive into features like Interactive notebooks for flexible coding, No-Code data prep to simplify data cleaning, Automated deep learning for advanced model building, and many more.
7. Customer Support: DataRobot offers great support to help you get started quickly. They’re there to assist you in using the platform effectively from day one.
8. Community and Resources: Get involved with DataRobot’s employee resource groups. They have communities like Women@DR, a Veterans community, and others that foster connection and support.
9. Start Using DataRobot: Ready to see it in action? Sign up for a demo or try the platform yourself. This is the best way to really understand what it can do and the benefits it offers.

By following these steps, you’ll be well on your way to using DataRobot effectively to build and deploy machine learning models efficiently.