Last month we were thrilled to launch Cloudera Data Science Wrangle—a traveling practitioner learning and social event for data scientists, data and ML engineers, DevOps/ML Ops leaders, data product managers, and business leaders looking to drive innovation with the latest in data science and machine learning. During the week of Strata Data Conference, where we […]
Machine learning (ML) has become one of the most critical capabilities for modern businesses to grow and stay competitive today. From automating internal processes to optimizing the design, creation and marketing processes behind virtually every product consumed, ML models have permeated almost every aspect of our work and personal lives — and for businesses, the […]
The AI Opportunity Today’s modern enterprises are collecting data at exponential rates, and it’s no mystery that effectively making use of that data has become a top priority for many. According to a recent survey of 2000 global enterprises by McKinsey & Company, 47% of organizations have embedded at least one AI capability in their […]
Since the launch of Cloudera Data Science Workbench (CDSW) in 2017 we’ve focused on accelerating enterprise data science from research to production. We’re helping hundreds of customers like IQVIA and Deutsche Telekom build their own AI factories by enabling large data science teams with secure, self-service access to the business data, compute resources, and open-source tools and libraries they […]
The emergence of “Big Data” has made machine learning much easier because the key burden of statistical estimation—generalizing well to new data after observing only a small amount of data—has been considerably lightened. In a typical machine learning task, the goal is to design the features to separate the factors of variation that explain the […]