DataRobot
Automate, modernise and scale Predictive Insights through DataRobot’s Auto Machine Learning Platform
Bring Machine learning to as many people as possible.
DataRobot is a machine-learning platform for automating, assuring, and accelerating predictive analytics, helping data scientists and analysts to build and deploy accurate predictive models.
learn moreData Science & Analytics Experts
From data preparation through value tracking, DataRobot equips you with enterprise-grade stability and scalability you can count on.
learn moreIT & DevOps Teams
Put machine learning models into production with just a few lines of code, regardless of whether you need real-time predictions, batch deployments, or scoring on Hadoop.
learn moreExecutives & Information Workers
Partner with the leader in automated machine learning to find opportunities to apply AI, and create a culture that embraces data-driven decision making.
learn moreSeamless Collaboration on a Single Platform
One platform, for all users, from data to value
Michael Schmidt |
Haniyeh Mahmoudian |
ON DEMAND WEBINAR
Characteristics of an AI-Mature Company
With the advancement in AI, companies have embraced its potential to increase efficiency and reduce costs. However, fully leveraging the benefits of AI requires cultural changes throughout the organisation. It’s the responsibility of executives to drive and facilitate the adoption of AI within organisations.
To achieve this, organisations should progress through AI maturity levels. In this webinar, Michael Schmidt discusses these levels and the path to the successful adoption of AI.
During this session, learn the following:
What should be the top priority at every level of maturity
What are the reasons that AI projects fail
Different stages have different “do’s and don’ts”
DataRobot Resources
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