Watsonx.data is a purpose-built data store optimized for governed data and AI workloads tailored to assist enterprises in expanding their analytics and AI capabilities. With watsonx.data users can swiftly establish connections to data sources obtain reliable insights and decrease data warehouse expenses. The platform is fine-tuned for all data analytics and AI workloads featuring an open hybrid and governed data store that facilitates data access and sharing. Watsonx.data incorporates a unified metadata layer for accessing all data through a singular entry point along with embedded governance security and automation mechanisms to bolster data trust. The tool empowers users to slash data warehouse costs by up to 50% through the optimization of costly data warehouse workloads across various query engines and storage tiers. Watsonx.data supports a diverse array of purpose-built query engines including Presto Spark Db2 and Netezza which dynamically scale to drive down analytics expenses. Users can store extensive volumes of data in vendor-agnostic open formats like Parquet Avro and Apache ORC and share a single data copy across multiple query engines utilizing the Apache Iceberg table format and shared metadata. The platform features semantic automation to aid users in exploring enhancing refining and visualizing watsonx.data and metadata through the capabilities of watsonx.ai models. Enterprises can leverage Watsonx.data to construct train optimize deploy and monitor reliable AI models for critical workloads utilizing data in the lakehouse ensuring adherence to lineage and reproducibility standards for AI data usage. Watsonx.data streamlines data engineering processes minimizes data pipelines simplifies data transformation tasks and enriches data for consumption using SQL Python or an AI-infused conversational interface. Ultimately Watsonx.data empowers enterprises to facilitate self-service data access for a broader user base while upholding security and compliance standards through centralized governance and automated policy enforcement at a local level.