What will it take for society to trust AI? Every decision, prediction, and insight generated by AI algorithms hinges on the availability and quality of data. Data must be stored effectively and efficiently to fully harness AI’s potential. In other words, data upholds AI, and storage upholds data. The enablement is mutual: AI also strengthens today’s storage innovations to serve its needs.
To understand how AI helps create better storage solutions, let’s first examine its relationship with data. AI data exists in a loop of data generation and consumption, where more high-quality, varied input data leads to smarter models and better results. Throughout this loop, AI becomes a data creation force multiplier, and the growing demand for mass-capacity storage solutions is significant.
Seagate’s depiction of The Infinite Data Loop of data generation and consumption.
Seagate’s depiction of The Infinite Data Loop of data generation and consumption.
This disparity has business implications for enterprises: organizations need to build long-term capacity plans to ensure that their data storage infrastructure is ready to monetize the opportunity ahead.
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