WatsonX.data by IBM

WatsonX.data by IBM
Watsonx.data is a specialized data platform tailored for managing governed data and enhancing AI-driven projects, aimed at helping companies expand their analytical and artificial intelligence competencies. With Watsonx.data, users gain rapid connectivity to data sources, obtain dependable insights, and benefit from reduced data warehousing expenses. The platform is fine-tuned for diverse data types as well as analytics and AI tasks, and it offers an open, versatile, and regulated data environment that facilitates user access and data collaboration.

It incorporates a unified metadata framework that consolidates access to data across the board, and it comes with integrated features for governance, security, and automated processes to bolster data reliability. Watsonx.data also assists users in lowering their data warehouse expenses by as much as 50% through the optimization of high-cost data warehouse activities spread across various query engines and storage layers.

Watsonx.data is compatible with multiple tailored query engines, such as Presto, Spark, Db2, and Netezza. These engines can dynamically adjust in scale to help decrease analytics costs. Users have the ability to store extensive datasets in open, vendor-neutral formats like Parquet, Avro, and Apache ORC, and they can distribute a singular data instance across several query engines by adopting the Apache Iceberg table format and shared metadata.

The platform offers semantic automation features, enabling users to explore, enhance, refine, and visualize data and metadata in Watsonx.data with the aid of Watsonx.ai's analytical models. Watsonx.data empowers organizations to create, fine-tune, deploy, and monitor trusted AI models for essential tasks, keeping track of data lineage and ensuring reproducibility for AI applications within the lakehouse framework.

Watsonx.data streamlines the data engineering process, curtails the number of data pipelines, simplifies data transformation, and enriches data for end-use via SQL, Python, or an AI-enhanced conversational interface. Ultimately, Watsonx.data permits enterprises to provide broader self-service data access to more users while maintaining security and adherence to regulation through centralized management and locally automated policy implementation.
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