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.

Federated Learning is an algorithmic solution that allows you to build Machine Learning models and keep the data at its source. You can then share those models with servers in the data center and can improve privacy and reduce communication costs.

Modern Data Warehousing Fundamentals will discuss ways to mitigate the limitations of legacy data warehouses with strategies to modernize your data warehouse architecture and infrastructure that benefit both traditional analytics practitioners and data scientists and engineers.

Share and persist the context of your data between workloads with Cloudera SDX (Shared Data Experience). In this video Product Marketing Manager Wim Stoop whiteboards the challenges the technology addresses and how SDX provides maximum cloud flexibility, enabling enterprise IT to control workloads anywhere, managed anyway, and deliver a shared data experience business and data professionals demand.