AI has been making front page news and not always for the right reasons. High profile AI failures have included sexist hiring algorithms and racist healthcare programs. But AI failures aren’t limited to ethical lapses. How can we avoid AI impact statements becoming another administrative compliance burden?
Whether with code or no code, clustering with multimodal is made easy. Learn more what is new in the DataRobot 7.3 release.
DataRobot’s team worked hard to take Visual AI to the next level. Learn more about several exciting new features.
Introducing Belén Sánchez. Belén works on accelerating AI adoption in enterprises in the United States and in Latin America and contributes to the design and development of AI solutions for customers in the retail, education and healthcare industries.
DataRobot is extending the power of the DataRobot AI Platform with a complete offering for code-first data science experts, DataRobot Core.
No matter what language you bring to DataRobot, you can always expect to see the same great results. Learn more about the next generation of Text AI for the DataRobot AI Platform.
Many companies struggle to turn the data they collect into true, actionable insights that can increase ROI. Here are some ways that putting AI to work helps organizations make informed marketing decisions instead of guesses.
AI Impact Statements are rapidly becoming the tool of choice for thinking about whether an AI-driven solution will deliver business value, operate safely and ethically, and align with stakeholder needs.
Anima Anandkumar is a world-renowned AI researcher with brilliant answers to some of the most complicated AI questions. In this episode of More Intelligent Tomorrow, we talk about AI’s role in science and how future AGI systems might behave.