AI success begins with data strategy. As enterprises modernize to support AI, next-generation BI, and self-service analytics, strategic alignment is key. This TDWI Virtual Summit explores the critical elements of a modernized data strategy that paves the way for AI-driven solutions with a value-driven implementation roadmap that supports business priorities.
TDWI research analysts, leading experts, and practitioners will share how businesses are reshaping and modernizing their data strategies to enable AI in the enterprise, overcome common challenges, and enable the rapid demonstration of value from AI, BI, and self-service. Presentations will include market briefings and best practices for real-world success.
Topics will include:
- Business and market drivers for data strategy modernization, including AI solutions, self-service demands, and increasingly sophisticated AI-enabled development tools
- The importance of a value-driven framework based on measurable outcomes that support business goals for return on AI investment
- Techniques for building your strategy that factor in business priorities, existing solutions, and the specific pressures and challenges facing your data and analytics teams
- How to build an effective roadmap that quickly delivers incremental value, maps to key business goals, and accelerates your ability to provide data products and AI solutions across the enterprise
- Using your data strategy to link data architecture modernization and investment to business priorities