AI and the cloud go together in today’s technological ventures like peas and carrots. Digital assistants like Apple Siri, Google Home and Amazon Alexa have penetrated every aspect of our lives, from industries to communities and even our homes. Tasks such as ordering online, using a household fixture/appliance, making an appointment, listening to music, asking a question, and even communicating with someone over text or calling them directly can now be done using digital assistants that were created using artificial intelligence methods and cloud resources.
For businesses, cloud computing has offered, and continues to offer the ability to scale operations in an effective and efficient manner. Computing resources can be replicated with a click of a button to scale up or down as needed. Extra memory and faster processors can be added quickly; large amounts of data (i.e., gigabytes, petabytes and even higher) can be used in a single database by simply provisioning more memory; new software can be tested and used throughout an organization more efficiently; and so much more.
Cloud services such as IBM Cloud Computing, Amazon Web Services, Google Cloud, and Microsoft Azure all provide pre-trained and ready to use machine learning, deep learning and other artificial intelligence models, algorithms and services for businesses to use in their data analytics process. This gives even small businesses the ability to access powerful models that have been trained on millions and even billions of rows of data at a fraction of the cost. This way you can start off on a cloud based service until an on-premise based AI workstation, server or cluster makes more financial sense and allows you to keep your data under your full control.
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