This post was originally published on IT Pro Today
In today’s digital era, enterprises are generating massive volumes of data. Research estimates that 328.77 million terabytes of data are created every day. All this data can be used to gain insights into customer behavior, improve operational efficiency, and develop new products and services. Forecasts predict that the global big data analytics market will increase from its 2023 valuation of US$307.52 billion to an astounding US$745.15 billion by 2030. The data explosion is fueled by digital interactions, internet of things (IoT) devices, and cloud platforms. By 2025, a staggering 55.7 billion IoT devices will be interconnected, generating a colossal volume of nearly 80 zettabytes of data.
However, managing and analyzing large volumes of data can be challenging. The fusion of data moving to the cloud and generative AI can be leveraged to automate processes, personalize individual customer interactions, provide real-time insights for faster decision-making, and help accelerate business growth for enterprises.
How Data Cloud and Generative AI Work Together
The data cloud’s network of data repositories offers diverse, high-quality data that enhances the effectiveness of generative AI. It provides varied contexts for AI models, enabling them to generate content
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