TDWI Expert Panel: Integrating Your Data and AI Platforms

Integrating enterprise data and AI platforms enables organizations to build and deploy more innovative and intelligent applications more rapidly. It lets them build more sophisticated AI applications, such as those that integrate multiple data modalities into generative capabilities such as image synthesis, auto captioning, and search-by-image. It also enables AI models to uncover patterns, predict trends, and recommend actions based on correlated data that spans multiple application domains.

TDWI research has found that enterprises succeed when they have fully integrated their data platforms with the data science, machine learning operationalization, and other platforms upon which AI deployments depend.

This expert panel discussed the importance of integrating your data and AI platforms, provided guidance for integrating those enterprise environments, and spelled out the challenges that enterprise IT and data professionals face in that regard.

The key topics discussed:

• The benefits of an integrated platform approach
• Challenges enterprises face when integrating data
• Best practices for overcoming the challenges

Check out HSO’s blog recap, featuring expert perspectives on the most pressing audience questions—from semantic models and AI readiness to ROI and governance.