Accelerate agentic ROI with AI-ready data and knowledge.
AI-ready data (AIRD) refers to data that is suitable for scaled business AI processing, characterized for being high-quality, discoverable, permissioned for compliance and governed. As AI autonomous capabilities evolve, the requirements for AIRD also increase, to help ensure that organizations can leverage data effectively for various AI applications, from predictive models to advanced AI systems.
By transforming data from a static resource into a dynamic trusted asset, leveraging AI-ready data products, synthetic data and strong business governance, organizations can improve the return on their AI investments, ensuring that the right data fuels every AI interaction with confidence and delivers impactful results.
Here are six key considerations to help you shape your AI-ready data foundation.
At the EY organization, we understand that the challenge of AI extends beyond technology; it requires a strategic approach to data. Our suite of innovative products and platforms can help you develop your AI-ready data foundations.
A platform to access trusted, contextual data product assets at scale, helping ensure that your organization has the right data on hand to fuel AI applications effectively
An innovative approach and environment to experiment with synthetic datasets under strict guardrails, helping organizations mitigate bias, expand training datasets and safely test scenarios
A platform to deploy smart responsible AI data agents that can help your organization onboard new data sources, enrich metadata and ensure governance, trust and oversight