The potential for a new breed of artificial intelligence applications to unleash new value is enormous, but organizations face substantial challenges in effectively implementing this novel technology.
To build truly differentiated capabilities, organizations need to build massive data lakes with their own proprietary data sets. However, delivering this can present significant challenges. The pressure to retain an ever-growing mountain of historical data increases in the AI era. At the same time, organizations need to ensure that their ‟active” AI data pipelines are fully optimized with relevant data when they design and implement their AI initiatives.
In this white paper, analyst firm Enterprise Strategy Group outlines:
- The shifting data management requirements in the AI era
- What organizations need to consider when building an infrastructure to leverage AI now and into the future in the most cost-effective way
- Real-world survey data and insights from IT leaders across the globe