Discover how organizations can go beyond use case and project-centric thinking to achieve scalable value from their data projects.
Calculating ROI on AI projects is often critical to secure resources; however, these calculations can also be notoriously challenging due to the complexity of quantification, number of teams and people involved, and often long delay in outcome.
Learn MoreHeetch uses Dataiku and Kubernetes to treat large quantities of data while maintaining performance and controlling costs, ensuring a positive return on investment (ROI) and smooth execution on hundreds of data projects conducted throughout the organization.
Learn MoreWith dozens of ideas for potential AI use cases but limited time and resources, how can organizations prioritize the right projects, especially in the beginning of their Enterprise AI journey? Learn how to avoid false starts on AI initiatives that are risky or ill-defined, and instead create a blueprint for future success.
Learn MoreGE Aviation's self-service system allows them to use real-time data at scale to make better and faster decisions throughout the organization.
Learn MoreSee how the data science team at MandM Direct operationalizes 10x more models versus a code-only approach.
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