How cloud computing and AI chips are shaping the future of data management

Data is rapidly growing, expected to hit 175 zettabytes by 2025. Cloud computing and AI chips are transforming data management, offering scalable storage, high availability, and enhanced processing. Companies like Netflix and Amazon leverage these technologies to handle data efficiently, ensuring future success

- Pradeep Kirnapure

Data has never been more precious in the digital era. Each click, transaction, and interaction creates data with possible insights. However, the exponential expansion of data presents substantial management and utilization issues for organizations. This article provides an insight about how cloud computing and AI chips revolutionize data management, ensuring that companies remain floating in the everexpanding data ocean.

▾ Exponential Growth of Data

Data is increasing at an unprecedented pace. Current trends imply that by 2025, the entire data sphere will have grown to 175 zettabytes, an increase from 33 zettabytes in 2018. This expansion is being fueled by the increasing number of IoT devices, digital transformation programs, social media usage and a greater dependence on data-driven decision-making. For businesses, this implies a steady stream of data that must be properly stored, processed, and secured.

▾ Challenges Presented by Data Growth

This increase in data presents numerous issues. Initially, the vast amount of data needs large-scale storage systems. Conventional on-premises storage systems sometimes fall short, resulting in scalability concerns. Secondly, processing this data demands a large amount of computer power, which might place a strain on existing IT infrastructure. Finally, as the volume of data grows, the cost of managing that data increases.

▾ Cloud Computing as a Solution

Cloud computing is a disruptive technology that tackles a wide range of data management concerns. Cloud computing provides ondemand access to computer resources such as processing and storage capacity via the Internet. Thanks to ‘Elastic’ nature, which will be key to meet future’s data management requirements. This adaptability enables businesses to grow their IT resources by changing requirements, ensuring they can cope with the ever-expanding data landscape.