Once upon a time, even the largest companies in the world installed the software that ran their businesses one CD at a time. Then an upstart CRM companyOld vendors could not change easily but craved the excitement of the cloud. They began labeling their hosted software as cloud or espousing that customers needed a hybrid private cloud strategy,
There is great debate over the pace of AI and how it should be deployed. Applying the lessons from the cloud computing era directly to AI would be overly simplistic. During the early days of cloud computing, the central analogy was the electricity grid. For AI, however, the analogy is an infinitely learning brain.
Smaller models tailored to your data can offer better cost efficiency and potentially superior performance. For instance, an affordable model could recognize when to utilize a more expensive one or seamlessly integrate AI into your application's workflow to enhance user experience. AI encompasses much more than just 'generative AI,' and organizations need to understand which AI approaches are suitable for their specific needs.
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