Enterprises are increasingly adopting AI applications and utilizing various types of data (structured, unstructured and semi-structured) to enhance their business processes across different industries. However, despite recognizing the significance and potential of AI, organizations often face challenges in formulating a strategy and implementing it effectively. To fully capitalize on the benefits of AI, enterprises need to integrate AI at the data level, ensuring that it supports the entire data management lifecycle, from data ingestion to curation and discovery. This integration will enable the development of applications that are built on top of the data, maximizing the potential of AI.

Key highlights:

• Understanding how to leverage AI and data for business processes
• Overcoming challenges of AI implementation
• Recognizing the entire data management lifecycle