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Expert Best Practices: Generative AI Architectures: What You Need to Know

October 23, 2024

Prerequisite: None

John O'Brien

President

Radiant Advisors

Artificial intelligence is fundamentally transforming enterprise data architecture, challenging data architects to extend existing infrastructures for advanced AI capabilities. As businesses adapt to AI-driven operations, modern data architectures are evolving to accommodate diverse data types and embracing flexible storage solutions like data lakes and lakehouses.

The implementation of semantic search enhances data discovery, while retrieval-augmented generation (RAG) improves AI accuracy in enterprise contexts. Integrating generative AI capabilities into enterprise systems opens new possibilities for data-driven innovation.

At the heart of this transformation lies the open semantic layer, bridging the gap between raw data and AI applications. These technologies are revolutionizing data management, analytics, and decision-making processes. Forward-thinking executives must understand these trends to effectively prepare their organizations for the AI-driven future of enterprise data architecture, ensuring competitive advantage in an increasingly data-centric business landscape.

Agenda Key

  • Analyst Insights: the latest trends and research delivered by TDWI analysts.
  • Expert Best Practices: experts, with in-the-trenches expertise, focus on best practices and successful real-world applications
  • Curated Case Studies: case studies, delivered by experts in the field, with a focus on actionable takeaways
  • Tech-in-Action: moderated technology demos and case study sessions that enable attendees to assess all the latest AI applications and technologies
  • Workshop: Interactive session where leaders come together with peers, with an expert facilitator, to discuss common challenges and proven best practices

Register Online

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TDWI Modern Data Leader's Summit Orlando: Modern Analytics

Rosen Centre Hotel
9840 International Drive
Orlando, Florida 32819
October 21–23, 2024