A brand new report makes an attempt to determine the hurdles organisations throughout industries face within the adoption of AI, and to unveil the usually neglected power necessities of the know-how.
The brand new report, “Drivers of Change: Assembly the Vitality and Information Challenges of AI Adoption,” seemingly pinpoints the significance of reassessing knowledge infrastructure to actually reap the advantages of AI, maintain power prices in line, and keep on observe with company environmental targets.
It was carried out by knowledge storage know-how agency Pure Storage® in partnership with Wakefield Analysis.
Survey highlights
The survey, distributed amongst 500 IT consumers at firms of 500+ employers throughout the US and Europe, appeared to search out that:
● The Want for Computing Energy is Surging, Pushed by AI Adoption: For 88% of those that have adopted AI, the necessity for computing energy is up dramatically. Almost half (47%) have needed to double their computing energy or extra since adopting AI.
● Organisations Did Not Anticipate the Vitality Calls for of AI: 73% of IT consumers weren’t utterly ready for the power necessities of AI.
● Vitality Consumption is Simply One AI Burden: For 73%, AI requires or would require knowledge administration upgrades of some sort. Amongst particular upgrades: knowledge administration instruments (48%), knowledge administration processes (46%), and knowledge storage infrastructure (46%).
● As a End result, Almost All (96%) Have Already or Plan to Replace Their IT Infrastructure: 29% of IT Patrons say AI has or would require a whole overhaul.
● These Challenges Have Set Again Companies’ Sustainability Targets: 89% have discovered ESG targets tougher to fulfill on account of upgrades to their IT infrastructure after AI adoption. Nevertheless, 60% of those that have already adopted AI applied sciences (or plan to within the subsequent 12 months) acknowledged they invested in or will spend money on extra energy-efficient {hardware} to fulfill ESG targets.
Business significance
AI adoption is on the rise throughout industries, but most organisations lack the required infrastructure to deal with the high-performance knowledge calls for and power necessities important for maximising its advantages. This limitation poses a problem to the profitable implementation of AI to help crucial company initiatives, together with these geared toward reaching environmental targets. Almost all IT consumers really feel stress to cut back their carbon footprint. In reality, most agree that assembly IT targets is inconceivable with out correctly getting ready IT infrastructure to help AI.
The demand for smarter infrastructure has by no means been extra urgent. Legacy techniques typically can not help the large AI knowledge pipelines required to get essentially the most from machine studying. As AI continues to speed up in adoption, IT groups require an environment friendly, dependable, and high-performance infrastructure to make sure efficient deployment.
Government perception
“Planning for change and making certain flexibility are key to navigating AI adoption,” stated Rob Lee, Chief Expertise Officer, Pure Storage. “As energy and knowledge calls for improve exponentially within the age of AI, investing in and deploying the best AI-ready knowledge infrastructure shouldn’t be solely important to efficient deployment and power effectivity, however to driving essentially the most worth out of AI initiatives. As we speak’s report affords essential insights for IT leaders on each the results of failing to plan for the modifications required to implement AI, in addition to the advantages of being ready for AI’s impression on infrastructure.”
