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Global Data Insights Survey
Empowering the Data and AI-Ready Enterprise
The artificial intelligence (AI) revolution is here and there’s no turning back. New variations of AI modeling and accessible consumer-grade generative AI (GenAI) are disrupting business as usual. In their quest to gain competitive advantage, enterprise leaders are leveraging AI to innovate new products, digital experiences, and bolster operational efficiencies.
But the critical challenge in harnessing the power of AI is the impact the vast amounts of data workloads has on underlying infrastructure. To understand this impact, Digital Realty commissioned the second edition of the Global Data Insights Survey to learn how enterprises are re-envisioning business strategy and redesigning IT infrastructure to unlock the power of data and AI.
Download the Global Data Insights Survey and discover how IT leaders across the globe leverage data and AI to fulfill their enterprise strategies and gain competitive differentiation.
Four Key Findings in 2024
- Data-first strategies advance AI innovation
79% of respondents with a high AI maturity are executing data strategies that guide IT infrastructure investments. - Data is pervasive and growing
52% of respondents cite lack of sufficient investment in data systems, infrastructure, and analytics as barriers to gaining insights. - Data localization matters more than ever
New points of data generation at the edge change the way infrastructure and data sets are deployed and interconnected. - Data drives the business agenda
More than half of IT leaders say data insights are critical to improving customer experience and satisfaction. Data is the engine that drives important decision-making for the enterprise.
About the Global Data Insights Survey
- Insights from 2,254 global IT decision makers across 11 industries
- Respondents from 21 countries in the Americas, Asia-Pacific, and Europe
- Global strategies on AI adoption and the data that fuels it
- Actionable takeaways from Data and AI Leaders
If you don’t have the right data where you need it, then your AI strategy is already broken before it starts. Data must be in the right place where AI can ingest it and create more data in a forever perpetuating cycle.
