Report: Tech leaders worry industry could run out of computing power in the next decade

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According to a new report from SambaNova Systems, 53 percent of business technology leaders fear they will run out of computing power in the next decade.

With AI and ML becoming ubiquitous across industries, it has the same potential to refactor the Fortune 500 as the internet has had over the decades. But as the AI ​​revolution accelerates, there is a growing divide between the haves and the have-nots. That is, a growing number of top companies have discovered how to deploy AI initiatives at scale, giving them a competitive advantage over companies that have yet to do so.

So why do some companies reap the benefits of AI, while others risk being left behind?

The report’s findings show that most people are hopeful about the potential of AI and ML technologies; two-thirds of technology leaders plan to significantly increase their investments in AI and ML over the next five years. In addition, more than three quarters (78%) say AI and ML are critical to monetization.

But even as organizations look to AI to drive innovation and revenue, many remain in the early stages of implementing AI and ML initiatives — with numerous hurdles holding them back. More than half cite adapting AI models as their biggest challenge, while about a third blame insufficient computing infrastructure (35%) or a lack of trained talent (28%).

In the coming years, enterprises will be tasked with unraveling the complexities of scaling AI/ML to keep up with competitors. AI will only continue to expand and evolve rapidly, empowering technology leaders to determine which use cases will drive revenue and innovation for their business, and determine how to deploy AI technologies at the enterprise level.

For this report, SambaNova surveyed 600 leaders in AI and ML, data, research, customer experience and cloud infrastructure across six industries.

Read the full report by SambaNova.

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