Brianna White

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Jul 30, 2019
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Have we reached the point where AI has become mainstream? As a recent study from Deloitte points out, 66% of organizations consider AI to be critical to their success. IDC also predicts global spending on AI systems will rise from $85.3 billion in 2021 to over $204 billion in 2025. With investments increasing dramatically and some of the largest companies like Meta and Google doubling down on AI research, the industry is reaching a new level of maturity.
Rather than having to hire a team of Ph.D.s, companies can now train open-source machine learning models on their own datasets with the tap of a button. Tools like Hugging Face and TensorFlow help with model discovery and customization for training. The practice of machine learning operations (MLOps) can now get these models into production easier than ever before. Once a technology like AI becomes simple enough to use, it rises to the level of mass adoption.
We've seen this story play out before with technologies like the cloud. Before Amazon, Google and Microsoft cloud platforms rose to prominence, the idea of hosting your data warehouse on a public shared server felt like an unbelievable risk. Now, some of the world's largest enterprises operate on the cloud, even those within highly regulated industries. The conversation has progressed from the idea of the cloud itself to its benefits—most prominently, its economies of scale over traditional data warehouses.
Now, it's AI companies' turn to shift the narrative from novelty to strategic value for stakeholders. Here's how.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/04/19/ai-is-going-mainstream-here-are-three-ways-companies-can-communicate-its-value/?sh=1f1a4a3e5f88
 

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