{"id":1939,"date":"2019-11-26T11:40:27","date_gmt":"2019-11-26T11:40:27","guid":{"rendered":"http:\/\/internal.n4engage.co.uk\/?p=1939"},"modified":"2020-08-24T13:47:04","modified_gmt":"2020-08-24T13:47:04","slug":"how-artificial-is-ai","status":"publish","type":"post","link":"http:\/\/internal.n4engage.co.uk\/2019\/11\/26\/how-artificial-is-ai\/","title":{"rendered":"So, How Artificial is AI?"},"content":{"rendered":"\n
When we see the fantastic technological advances coming out of huge companies such as Apple, Amazon and Google, it is sometimes difficult to see how these could ever be used by a smaller business or consumer. Until recently, it seemed like AI was an example of this. <\/p>\n\n\n\n
I love to see breakthroughs in technology that were unimaginable even a few years ago, and genuinely believe that people will look back on this time as a period of revolution. But the practical application of any technology must be well\u2026practical. <\/p>\n\n\n\n
For this reason, I try to separate technology into two categories: things we can do today, and things that we can do tomorrow. I accept that the line between the two can blur, and there are use cases that appear unexpectedly and make \u2018tomorrow\u2019s technology\u2019 viable today. Typically, technology either moves from one category to another over a small time period or falls by the wayside. <\/p>\n\n\n\n
A <\/strong>mainstream technology<\/strong> <\/p>\n\n\n\n With AI, we\u2019re witnessing the technology move from \u2018tomorrow\u2019 to \u2018today\u2019 and into the mainstream. We\u2019re seeing real-world use cases that will help businesses and consumers in their daily lives, reducing costs or providing a better user experience. <\/p>\n\n\n\n The mass adoption of home assistants such as Alexa, Google Home and Siri is just one example of the power of AI. <\/p>\n\n\n\n W<\/strong>orking with collaboration tools<\/strong> <\/p>\n\n\n\n As a Cisco HCS service provider, we already provide collaboration tools to businesses, but we can now integrate these into industrial computing and IoT sensors, with intelligent monitoring and management via AI. <\/p>\n\n\n\n An example of this is having a sensor detect abnormal behaviour, creating a collaboration space, adding in relevant people and allowing those people to directly interface with the sensor using human language rather than machine code. <\/p>\n\n\n\n Whilst I\u2019m always inspired by the amazing and revolutionary technological developments within AI (hint: look at the IBM Project Debater video<\/a>), i\u2019m far more impressed if it can be used to bring businesses benefits, costs savings, or service improvements to our customers now. <\/p>\n\n\n\n
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