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In this video, we'll walk through an example of how to use Cloudera Machine Learning to explore, query, and build visualizations for data stored in your data warehouse. After you understand your data, we'll show you how you can connect to that data from CML using Python.

Welcome to the Smart Factory with intelligent operation—using analytics, machine learning, A.I. and other advanced tools in real time to anticipate failures, fix inefficiencies, and optimize maintenance. As the industry's leading hybrid data platform. Cloudera empowers modern data architectures and supports on premises, public and multi-cloud deployments, delivering multi-function analytics on data anywhere with common security, governance and metadata management powered by Cloudera SDX.

In the media and entertainment industry, keeping viewers engaged requires a data strategy that addresses challenges such as increasing customer demands for personalized experiences, unstructured data like videos and images, and changing advertising budgets. Cloudera offers the industry's only hybrid data platform that supports on-premises, public, and multi-cloud deployments concurrently, bringing together real-time analytics, machine learning, and AI capabilities.

This demo video shows how Cloudera Replication Manager provides successful Disaster Recovery solution by cross-region Azure HBase replication.

This video demonstrates how to use an open source pre-trained instruction-following LLM (Large Language Model) to build a ChatBot-like web application. The responses of the LLM are enhanced by giving it context from an internal knowledge base. This context is retrieved by using an open source Vector Database to do semantic search.

Cloudera Operational Database provides a reliable and flexible foundation for scalable, high-performance applications, while Cloudera Data Visualization is a powerful BI tool that enables quick self-service analytics and custom dashboard creation. Both tools are designed to help businesses make faster and more informed decisions. Learn more at cloudera.com/demos.

This video shows how Cloudera Replication Manager easily and smoothly replicates HDFS data from on premises to cloud and from cloud back to on premises.

According to 451 Research, 96% of enterprises are actively pursuing a hybrid IT strategy and 96% of businesses can’t be wrong. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis.

This video demonstrates how to use an open source pre-trained instruction-following LLM (Large Language Model) to build a ChatBot-like web application. The responses of the LLM are enhanced by giving it context from an internal knowledge base. This context is retrieved by using an open source Vector Database to do semantic search.

Cloudera Machine Learning offers a comprehensive solution for the full machine learning lifecycle, from finding and exploring data to hosting custom ML web apps. With nearly 700 enterprise customers using ML in production, it provides a trusted and efficient way to deploy complex models and support a diverse range of AI use cases.