Cloud Democratizing AI
As Artificial Intelligence needs a lot of data storage and processing power, there has been a sharp rise in the adoption of cloud models among enterprises world over. Tech giants such as Google, Microsoft, Facebook, Apple, and Amazon realized the potential of a cloud model earlier on and had introduced scalable cloud storage models bet suited for AI. Deep learning supports Amazon’s recommendation system, Microsoft’s Cortana personal assistant, Google’s search and translation tools and other commonly used services and applications. Most Fortune 500 companies have fanatical AI teams, but the interest of tech giants in AI has overwhelmed data scientists, leaving small and medium enterprises to explore how to improve their business with the help of AI, despite a dearth in expertise.
Enterprises that can afford hiring AI experts also need to prepare massive data sets and spend substantial sums on computing power to scrutinize and instruct their network to identify certain objects or patterns. However, big cloud providers are aware of these problems. Hence, they are of the opinion that they have found a solution to overcome them.
Cloud AI or Machine Learning as a service today have become major components of cloud platforms such as Microsoft Azure, Google Cloud, Amazon Web Services (AWS), and IBM Cloud. These tech giants are placing their best foot forward in augmenting AI to business applications, and this, by providing customers access to deep learning models. And this has been done for image recognition, and for tools that abridge the procedure of building, training and deploying customized models on the cloud.
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