Cloudera, Inc. has unveiled its strategic vision to accelerate the industrialization of enterprise ML and AI at Gartner Symposium ITxpo. Cloudera customers will now be able to automate decisions at enterprise scale. Building, deploying and scaling ML/AI applications will become repeatable with what Cloudera calls an ‘AI Factory’ for turning data into decisions, at any scale, anywhere.
“The modern enterprise will be a network of intelligent applications powered by machine learning and AI. Right now the effort that goes into building ML and AI solutions is heavily skewed towards allocating and maintaining underlying infrastructure, instead of building a compounding set of capabilities that can deliver increased business values,” said Hilary Mason, general manager, Machine Learning at Cloudera. “AI deployments should be boring, meaning the process for deploying and scaling these types of applications should be routine. We should be paying attention to the value generated, not to the technology. This is why Cloudera is evolving its products and platform to industrialize the process of delivering AI solutions at enterprise scale.”
Building on deep experience in machine learning, analytics and cloud, Cloudera plans to accelerate its roadmap to help customers more rapidly capitalize on the value of their data with ML and AI capabilities. Cloudera will deliver seamless, elastic, end-to-end machine learning workflows spanning public and private clouds as part of its recently announced enterprise data cloud strategy. Cloudera will also expand support for the latest open data science tools, from Python and R to Spark and Tensorflow, to streamline unified data pipeline and AI model management at scale while minimizing cost and risk.
