Melody Chien

Data is the lifeblood of enterprises in the digital era, underpinning everything from operational decisions to revolutionary AI models. However, the promise of AI can only be fulfilled if the underlying data is trustworthy, accurate and readily available. This session provides an in‐depth exploration of data observability — what it is, why it is essential and how it plays a pivotal role in making your data AI-ready.

Data management tools provide significant capabilities to ensure good data for your data and AI initiatives. For example, metadata tools help discover and inventory your data assets. Data quality tools help business users manage their data at sources by setting rules and policies. Data observability tools give organizations integrated visibility over the health of data, data pipeline and data landscape. Together the tools help organizations lay good foundation in data management for data and AI initiatives.

As AI shapes business decisions, making unstructured data AI-ready is a key governance priority. The quality, accessibility and security of unstructured data directly determine the performance of AI applications, particularly for GenAI. To unlock its value for AI initiatives, data and business leaders should evolve their governance strategies to effectively manage, protect and utilize unstructured data, ensuring it is AI-ready while meeting compliance and security requirements.

Data management tools provide significant capabilities to ensure good data for your data and AI initiatives. For example, metadata tools help discover, and inventory your data assets. Data quality tools help business users manage their data at sources by setting rules and policies. Data observability tools give organizations integrated visibility over the health of data, data pipeline and data landscape. Together the tools help organizations lay good foundation in data management for data and AI initiatives.

As AI shapes business decisions, making unstructured data AI-ready is a key governance priority. The quality, accessibility and security of unstructured data directly determine the performance of AI applications, particularly for GenAI. To unlock its value for AI initiatives, data and business leaders should evolve their governance strategies to effectively manage, protect and utilize unstructured data, ensuring it is AI-ready while meeting compliance and security requirements.

Making your data AI-ready can be challenging, especially with vast amount of unstructured data. For this lightly facilitated discussion, please come prepared to share and exchange insights with your peers on overcoming the challenges of managing and governing unstructured data.