Building a Real-Time Data Intelligence Platform for Generative AI

Modern business depends on sophisticated decision support, advanced analytics, and artificial intelligence (AI) applications.

Next-generation data intelligence platforms can unify enterprise decision support, advanced analytics, and artificial intelligence (AI). If built on robust streaming backbones, these platforms can deliver trusted data-driven insights in real time into all customer-facing and back-office business processes. They can also serve as the foundation for innovative new business productivity tools, such as real-time digital chatbots that leverage generative AI.

Building your enterprise’s real-time data intelligence platform for generative AI and other applications requires careful attention to a wide range of issues. To explore the opportunities and challenges, please join TDWI’s senior research director James Kobielus on this webinar, in which he, Databricks’ Spencer Cook, and Striim’s John Kutay. After brief presentations, they will engage in a roundtable discussion of the following issues:

• How can a real-time enterprise data intelligence platform support innovative applications of generative AI?
• What is the optimal architecture of a real-time enterprise data intelligence platform in support of generative AI?
• What roles do change data capture, streaming, and other low-latency infrastructure services play within a real-time data intelligence platform in support of generative AI?
• What challenges do enterprises face when migrating decision support, advanced analytics, and AI infrastructure from legacy platforms to a real-time data intelligence platform in support of generative AI?
• How should enterprises manage governance of data, models, and other critical assets within a real-time data intelligence in support of generative AI
• How can enterprises leverage their investments in real-time data intelligence platforms so that they can support future evolution in generative AI and other advanced data-driven applications?

Register now to discover:

• How to build and optimize a real-time, streaming data intelligence platform to accelerate deployment of generative AI and other advanced data applications
• How to migrate your legacy data intelligence platforms, tools, and applications to the target real-time streaming platform
• How to establish a robust data and model governance capability to support generative AI and other advanced applications on your enterprise’s real-time streaming data intelligence platform

Sponsors: Striim, Databricks