Creating Forward- Looking AI
In the section above we talked about the importance of having data, AI, and decisioning capabilities to power all AI-fueled decisioning projects, but we didn’t yet talk about why it’s so important to have all three talking to each other in real time. One of the challenges of any analytical analysis is that it relies heavily on historical data to make predictions, but to be truly agile and able to accurately predict the future we need to take a different approach. We’ll go back to the video game analogy again… imagine you’re playing a racing car game where you’re allowed to drive a few laps of the track looking at what’s ahead of you. Then, you continue the race but you’re only able to look behind you. You could, if you had a good memory, do a reasonable job at navigating the track. What you couldn’t do is predict any changes ahead. You have to assume that the following laps will be the same as your practice laps because it’s all you know. The chances you’ll go the “wrong way” at some point are highly likely. This is traditional decisioning
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