AI adoption to double storage demands in just 3 years, Seagate survey finds

zohaibahd

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In a nutshell: A new global survey commissioned by storage giant Seagate reveals that businesses anticipate their data storage needs will double within the next three years, driven largely by the adoption of AI and machine learning. The survey, which included over 1,000 businesses across various industries, found that a whopping 72% have already jumped on the AI train, with another 28% planning to deploy it within the next three years.

The data deluge is mainly being handled by the cloud. The survey indicates that 65% of all AI-related data is already being stored in the cloud as of 2024, and that percentage is projected to climb to 69% by 2028 as more workloads shift off-premises.

Among companies using over 100 petabytes of storage, 87% are storing their AI model training checkpoints in the cloud or a hybrid cloud/on-premises setup. These checkpoints, which allow models to pick up where they left off, are being generated at a blistering pace: 28% of companies said they create new checkpoints every single day, while 43% do it on a weekly basis. It's no wonder nearly half of the companies surveyed (46%) believe their existing storage methods won't be enough to quench AI's thirst for data in the coming years.

Keeping all those checkpoints around is also becoming a priority. A full 90% of respondents said they believe retaining lots of historical training data leads to better AI outcomes over time. 32% of companies creating daily checkpoints are holding on to that data for over a year, while 29% keep it for 6-12 months.

To try to get ahead of any data bottlenecks, businesses are embracing a variety of strategies: 61% are expanding their usage of scalable cloud storage solutions; 56% have implemented enhanced data management software; 55% have upgraded their on-prem infrastructure; and 49% are turning to data compression to squeeze more into their existing storage.

With AI proving to be an exponential data multiplier, businesses have no choice but to make scaling storage capacity a top priority over the coming years. Of course, cloud will likely continue gobbling up more of the storage load, but it seems on-premises optimization and hybrid setups will remain essential too.

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I would not be surprised if all these predictions about how well AI is going to do turn out to be empty promises about the goose that lays golden eggs.
 
I would not be surprised if all these predictions about how well AI is going to do turn out to be empty promises about the goose that lays golden eggs.

AI is just dandy
Just read an article how the top models can work together in the 1000s to come to a consensus like a hive mind

So AI will be a real Hit, miss and maybe for what a company wants
If companies expect to be all purpose , all talking , all doing then yeah will be sadly disappointed

Also how it works along side humans eg a easy to understand field cancer diagnosis from scans and bloodwork

Flipside with Stargate coming 500 Billion dollars that really is a double edge sword depending what is used for eg no testing for Covid 19 then no covid - No analysis of climate change - no existential threat - but same BS will happen ie those that don't believe in climate change , plan their business/farm around climate change going forward . ie asking Stargate where to build something . Here is not suitable to unpredictable precipitation in future .
I digress Stargate 500 has a huge power to take your rights and control the populations if used unethically - what laws can be subverted , reinterpreted , changed to make it all appear legal - Stargate will give you that
 
The tech has not yet reached the point that it is consistently reliable, which makes it a perfect fit for the way modern connected enterprises operate.
 
Storage in great demand? Sweet. That means when the AI bubble inevitably bursts the market will be flooded with cheap drives to clear inventory. That should help make up for the fact that storage prices are currently higher than they were 2-3 years ago depending on product (in the UK, depending on product).

 
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