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Fifty-three % of enterprise know-how leaders are anxious they may run out of computing energy within the subsequent decade — certainly one of a number of challenges hindering organizations as they appear to scale up synthetic intelligence initiatives, based on a brand new report by SambaNova Methods.
With AI and ML turning into ubiquitous throughout industries, it has the identical potential to refactor the Fortune 500 because the web has had over the previous a number of many years. However because the AI revolution accelerates, there’s a burgeoning gulf between the haves and the have-nots. That’s, a rising variety of prime corporations have discovered the best way to deploy AI initiatives at scale, gaining a aggressive edge towards companies which have but to take action.
So, why are some enterprises reaping the advantages of AI, whereas others are liable to being left behind?
The report’s findings present most individuals are hopeful in regards to the potential of AI and ML applied sciences; two-thirds of know-how leaders plan to considerably improve their AI and ML investments over the following 5 years. Moreover, greater than three-quarters (78%) say that AI and ML is vital for driving income.
However at the same time as organizations look to AI to drive innovation and income, many stay within the early levels of implementing AI and ML initiatives — with loads of obstacles holding them again. Greater than half cite customizing AI fashions as their prime problem, whereas round one-third blame inadequate computing infrastructure (35%) or a scarcity of educated expertise (28%).
Within the years forward, enterprises are tasked with untangling the complexities of scaling AI/ML to maintain tempo with opponents. AI will solely proceed to quickly broaden and evolve, leaving know-how leaders to find out which use instances will drive income and innovation for his or her enterprise, and determine the best way to deploy AI applied sciences at an enterprise degree.
For this report, SambaNova surveyed 600 AI and ML, information, analysis, buyer expertise and cloud infrastructure leaders throughout six industries.
Learn the full report by SambaNova.
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