IBM Data and AI
Eight ways to modernize your data management
Growing data diversity, opportunities to leverage artificial intelligence, and the need to integrate open source and multicloud deployments are driving many organizations to modernize their data management.
Inside this eBook, you’ll find eight ways to refresh your architecture for current and future challenges and stay ahead of your competitors. Each topic has:
- A detailed introduction and expert advice
- Links to a full analyst report, customer case study video, or white paper
- A “Data management check-in” with three questions to assess your own organization
Soon you’ll discover why 88% of the most data driven organizations say,“AI and ML are an important component of their data platform and analytics initiatives” and how Owens-Illinois achieved cost reductions in the seven figures.
IBM Data and AI
Eight ways to modernize your data management
Growing data diversity, opportunities to leverage artificial intelligence, and the need to integrate open source and multicloud deployments are driving many organizations to modernize their data management.
Inside this eBook, you’ll find eight ways to refresh your architecture for current and future challenges and stay ahead of your competitors. Each topic has:
- A detailed introduction and expert advice
- Links to a full analyst report, customer case study video, or white paper
- A “Data management check-in” with three questions to assess your own organization
Soon you’ll discover why 88% of the most data driven organizations say,“AI and ML are an important component of their data platform and analytics initiatives” and how Owens-Illinois achieved cost reductions in the seven figures.