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Making Sense of the AI Hype
Chief Marketing Officer
09 March 2017
Artificial Intelligence (AI) is everywhere, bringing hype and fear to almost everyone. As we move into an automated future, we have to start considering things like will robots really make human jobs obsolete? According to Oxford University, researchers estimate that ‘robots’ could potentially automate 47% of U.S. jobs within the next 20 years. Scary, right? The buzz around the upcoming SXSW Conference that kicks off later this week is all about AI, so I’ve been asked a lot recently if all of the hype is real?
AI is still in its infancy stage. While it is moving towards its tween stage, the problem now is that people are jumping on the AI bandwagon without fully understanding what it is and how to successfully create it. I equate it to the Wild West – the main AI players are using a statistical methodology that is known to be inaccurate. Companies everywhere are claiming to have AI or be creating AI, using open source platforms and using an AI engine from the same place. In reality, proper AI should be developed by a skilled mathematician, and not a statistician, with a technology background and knowledge broader than simple probabilities to create an AI engine that can be utilized into different mediums. People are rushing into AI to be part of the trend, but like most things, we will start to see a large percentage of the subpar AI phased out. The true and successful AI will move away from the statistics based model we are seeing now, and move into a deterministic model that looks at data and solves it.