Source: Google |
If artificial intelligence becomes a big part of the next big wave of growth for cloud computing, that should therefore allow firms of all sizes to use advanced machine-learning algorithms just as they today buy computing or storage.
In other words, cloud workloads of the future likely will include AI capabilities. “We believe AI will revolutionize almost all aspects of technology, making it easier to do things that take considerable time and effort today like product fulfillment, logistics, personalization, language understanding, and computer vision, to big forward-looking ideas like self-driving cars,” said Swami Sivasubramanian, Amazon AI VP.
“Today, building these machine learning models for products requires specialized skills with deep Ph.D. level expertise in machine learning,” he said. “However, this is changing.”
Amazon Web Services has added predictive analytics for data mining and forecasting, to its cloud services, opening up machine-learning algorithms first developed for internal use, to customers of AWS.
Google application program interfaces are being made available to its cloud services customers to support translation, speech recognition and computer vision.
Microsoft likewise talks about “conversation as a platform,” where voice-responsive systems use artificial intelligence to handle simple customer requests.
Over time, though, that capability will extend, allowing the AI-enhanced interfaces to integrate information from different sources, allowing more complicated transactions to be supported.
AI will be democratized, some would say.
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