Today, just about every organization wants to adopt artificial intelligence (AI) and machine learning (ML) to deliver insights and predictions from the significant amounts of business and operations data they have collected over the years. The combination of massive computing power and the unprecedented rate of data generation has created an opportunity for every organization to unlock value from their data and hone in on opportunities for growth and business process optimization.
However, many organizations face significant barriers to AI adoption, led by a lack of data science expertise in the global workforce. The global demand for machine learning and AI solutions greatly exceeds the production capacity of all the data scientists in the world, and this gap continues to grow. Furthermore, many companies lack the knowledge of where to start when launching machine learning initiatives.
Founded in 2012, DataRobot’s mission is to make machine learning accessible to all businesses, bridging the gap between the supply and demand for machine learning and AI. DataRobot automates the entire data science and machine learning workflow, eliminating the need for organizations to assemble a large team of data scientists with advanced coding skills, while also augmenting the capabilities of organizations that already have data science teams. Incorporating the knowledge and expertise of some of the world’s top data scientists, DataRobot enables more users across an enterprise to succeed with machine learning by simply utilizing their understanding of their own data and business and letting DataRobot do the rest.
Celebrating 1 Billion Models
DataRobot is revolutionizing the mass production of machine learning and AI and recently achieved an extremely significant milestone: over 1,000,000,000 models (and counting) have been built on the DataRobot managed cloud platform!
Building all these models requires massive computing power. DataRobot leverages Intel® technologies, including Intel® Xeon® Scalable processors, to power its automated machine learning platform. Intel® Xeon® Scalable processors provide the hardware foundation to deliver optimized performance for organizations that desire both low latency and scalability in their compute platforms – two key features to support the AI-driven enterprise. This proven, world-class hardware foundation delivers highly scalable performance for AI and machine learning applications such as DataRobot, and has the compute and memory capacity to handle the widest range of machine learning workloads.
To our customer community building the actual models that are revolutionizing their industries: thanks a billion!
Learn more about DataRobot’s automated machine learning solutions.