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"Expert Panel: Building an AI-Driven Data Strategy"

Enterprises are feeling competitive pressure to put AI programs front and center in their business strategy and to ensure that their investments in data infrastructure and tools fully support that strategy. Building an AI-driven data strategy involves strategic investments in human resources, workflow and collaboration processes, and a deepening stack of cloud-based and other technologies to support generative, predictive, and other AI applications.

TDWI research has found that organizations succeed with AI when they have a solid data foundation that supports high volumes of diverse data and the right organization and skills to deploy AI into production and ensure that those models stay current.

This expert panel will discuss how to build an AI-driven data strategy and how to modernize your enterprise data infrastructure in order to improve the speed, efficiency, and effectiveness of the AI applications you deploy into production. The key topics are:

• How to approach developing an AI strategy; determining the right use cases for your organization
• The data and analytics infrastructure needed for AI readiness
• Skills, tools, and training needed to succeed in developing AI apps and agents
• Making AI governance a top priority; how to get started and what this entails

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