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There is no one moment when SaaS Software as a Service was conceived, because SaaS as a concept has a host of components; all of which have had to come together in the right context in order to produce value for any sector or vertical market. Different sectors have moved towards SaaS models at different speeds.

In technical terms, SaaS relies on cloud delivery at scale, a minimum degree of widely available connectivity, and enterprise-grade security. If any of these are weak, SaaS drops off the agenda.

Artificial intelligence (AI) in gaming isn’t a recent innovation. As early as 1949, mathematician and cryptographer Claude Shannon pondered a one-player chess game, in which humans would compete against a computer. 

Indeed, gaming has been a key engine of AI, and a proving ground for the simulations, constructed environments and tests of realism that are the foundation of virtual experiences. 

It’s easy to lose ground in e-commerce. In a crowded market where customers can buy from a competitor as simply as following a link, retailers have to work hard. Every search term, product description and user pathway matters.

Not surprisingly, smart players have come to depend on the abundance of data consumers make available at every step of the business process. They deploy predictive analytics, machine learning and other Artificial Intelligence techniques to redefining the rules of the game, helping some stay ahead of the competition, and improving the customer experience overall. 

Here are just a few examples of how.