#This study links the use of real-time data to higher revenue growth and greater developer productivity.
Data is data, but when it’s real-time data, its value begins to grow exponentially. A new study shows that companies that leverage real-time data generate the most revenue and growth. Additionally, companies leading in artificial intelligence and machine learning are the ones using real-time data the most.
That’s the conclusion of a recent Datastax survey of 556 companies, which linked the use of real-time data to higher revenue growth and increased developer productivity. The study's authors said those who use real-time data in profound ways "are adept at leveraging data to create new products and new revenue streams." 52% of market leaders say their strategic focus is on leveraging real-time data to create value across the organization. “There’s a good reason for that: They’re also likely to say real-time data has a transformative impact on revenue.” Additionally, 71% of executives in the Datastax survey believed they could drive revenue Growth is directly tied to real-time data, with 78% of executives considering real-time data a “must-have” rather than a “nice-to-have.” Additionally, 66% of real-time data-focused organizations believe developer productivity has improved.
In further analysis of the CIO survey results, Datastax Vice President Bryan Kirschner mentioned that real-time data powers what he calls an AI “factory.” These companies are far ahead in artificial intelligence and machine learning and “have the technology infrastructure to enable instant changes and decisions based on real-time feedback.” “Outdated data and batch processing no longer impact organizations where every second counts.
Kirshner added that these top companies “develop tailored customer experiences, reduce the risk of churn, predict equipment failures, and make decisions in real time. various process decisions”. Datastax’s survey results show that the heavy use of real-time data is related to the maturity of AI: 81% of companies that have deployed AI/ML extensively said that real-time data is a core strategy. In AI/ML In the early stages of adoption, only 32% have adopted a real-time data strategy. 96% of AI/ML leaders expect all or most of their applications to be real-time within three years.
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