Dave Mosley, CEO: The AI boom will demand greater trust in the data, not just in scale
According to McKinsey’s Global Survey on AI, 72% of organizations worldwide have integrated AI technology into at least one business function. This trend is particularly evident in Europe, where 90% of professionals report using generative AI tools for work or personal reasons. But AI can only be trusted if the data behind it is trustworthy.
Whether it’s from capturing training checkpoints to saving source data sets, the more data we retain during the process, the more we can validate AI is trustworthy. That data therefore needs to be available long term, not just to comply with evolving legal requirements but also to ensure that inference is explainable.
Recent Deloitte research found users are still reluctant to trust AI, particularly in high-stakes, complex decisions. To counter this, companies applying trustworthy AI principles, including focusing on governance, regulatory compliance and education, will face a mass data surge, which means scalable storage innovations are more critical to the AI ecosystem than ever before.
BS Teh, Executive Vice President and Chief Commercial Officer: The global data explosion threatens to create a storage shortage crisis
The world is creating data at unprecedented volumes. In 2028, as many as 400 zettabytes will be generated, with a compound annual growth rate (CAGR) of 24%. To make this relatable, according to research by the California Institute of Technology, just one zettabyte is equivalent to as much information as there are grains of sand on all the world’s beaches.
As AI matures and scales, the value of data will increase, leading us to store more data for longer. However, the storage install base is forecasted to have a 17% CAGR – therefore at a significantly slower pace than the growth in data generated. And it takes a whole year to build a hard drive.
This disparity in growth rates will disrupt the global storage supply and demand equilibrium. As organizations become less experimental and more strategic in the use of AI, they will need to build long-term capacity plans to ensure storage supply, and fully monetize investments in AI infrastructure.
BS Teh, Executive Vice President and Chief Commercial Officer: Storage innovation will be key to tackling the data center crunch and protecting the planet
As the data boom continues unabated, it will eventually reach the point where data centers will become overwhelmed. However, financial, regulatory, and environmental concerns will increasingly challenge the need for greater physical data center space and capacity. According to the UK’s National Grid, for example, power demand from commercial data will increase six-fold just within the next 10 years.
According to CBRE, AI advancements in particular are projected to significantly drive future data center demand, and high-performance computing will require rapid innovation in data center design and technology to manage rising power density needs. However, it’s not just innovation in computing that can help address these issues.
Higher areal density hard drives, which expand the amount of data stored on a given unit of storage media, can enable greater data capacity in data centers, avoiding the need to build new sites, driving significant TCO savings and reducing environmental impact.
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