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At Cloudera, we believe data can make the impossible possible. The world’s leading organizations choose Cloudera to transform their businesses, improve lives, and advance human achievement. All through the power of data.

Cloudera Fast Forward Labs’ latest machine learning research report introduces a new machine learning capability that relaxes the stringent labeled data requirement in supervised machine learning thereby opening up new product possibilities.

The key challenges preventing IoT initiatives to be successful are the inability to capture and process data directly from thousands of edge devices as well as the lack of operational visibility and control of the edge. Dinesh Chandrasekhar, Director of Product Marketing for Data-in-Motion at Cloudera, talks about solutions designed to solve these IoT challenges.

IoT has been transforming industries like fleet management. Cloudera enables enterprises to gain actionable intelligence in real-time with data captured from the edge using Machine Learning models refined actively over time. This video shows how Cloudera Edge Management and Cloudera Data Science Workbench work seamlessly with Cloudera Flow Management to realize the Edge2AI vision for enterprises.

Sushant Rao, Director of Product Marketing for Cloud, shares how Cloudera’s data analytics and Spark platform empowers teams to develop and deploy data warehouse and machine learning in the cloud.

Mike Olson talks about AI and Big Data in Government

Cloudera and Hortonworks come together, allowing us to bring data from the Edge to AI.

In this video, you'll see how a company is able to migrate their data to the cloud, onboard and transform new data (data engineering), and then analyze it in conjunction with existing data (data warehouse) to drive business value.

The cloud is a powerful tool for managing heterogeneous workloads, but data is rarely in one place. Cloudera is introducing the first unified experience for Data Engineering and Machine Learning in the cloud running on Kubernetes.