According to recent research from TDWI, data delivery is one of the key obstacles in developing and operationalizing AI. Organizations struggle with the increased diversity in data sources and types, and existing data integration approaches falter when AI solutions call for real-time access.
During this half-day TDWI virtual event, you will learn how to overcome these challenges and equip your organization with robust data pipelines for AI solutions. Attendees will gain expert insights, practical frameworks, and a research-backed understanding of the unique challenges of data integration for AI solutions and emerging practices that successful organizations follow in delivering production applications with impact.
Free to Attend – Full Agenda Coming Soon
Topics will include:
- Categories of AI solutions including generative AI, agentic AI, and advanced machine learning, and the unique data requirements that strain existing integration practices
- When real-time integration is required, how it stresses batch and micro-batch integration paradigms, and what is needed to deliver right-time solutions
- Previously untapped data types and sources required by AI solutions, including documents, images, audio, video, and more, and how they can be incorporated into data pipeline delivery practices
- Delivery practices from traditional ML data pipelines to modern agentic solutions, and how organizations can adapt to the unique challenges of AI data consumption
- Enabling AI success by matching your data delivery approach to your solution category and business use case