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turbo-charging AI?

  A lot of the work that we do at Turbo is about using artificial intelligence to help our customers get answers faster. For example, we use AI to automatically generate responses to questions our customers ask us in our customer chat. This saves our teams a lot of time and energy, which is great for our business. But in order to do that, we needed to find a way to charge our AI.
The world is rapidly moving toward an era of artificial intelligence. Companies have already used AI to gain new insights, automate processes, and improve products. But many of those improvements are incremental. Many companies are still using the same old tools and processes to get their work done.
As artificial intelligence continues to permeate most aspects of our lives, it has also become a major power source for our technology. From self-driving cars to facial recognition software, AI is powering a wide range of modern technologies. However, as powerful as AI is, it is limited in many ways. For example, current AI algorithms aren’t very good at understanding and interpreting human speech, which has limited its usefulness in many fields.
The future is full of exciting possibilities. Robots that can do our chores and serve us coffee. Flying cars that can transport us from A to B in record time. But most of all, the biggest potential of the future is the ability to learn and improve at an exponential rate.
The world is full of complex systems, from our brains to our cars, and electricity grids to our online shopping experiences. But none are more complex than our artificial intelligence systems. They contain vast amounts of data and must make complex decisions in a fraction of the time it would take a human. The only way to achieve these feats of speed is to increase the power of our computers and data centres.
Let’s take our example of our AI that helps our customers find answers. If we want to improve our AI’s responses, we can provide it with more data. For example, we could give our AI access to all the questions our customers have asked our chatbot in the past. This would allow our AI to learn how to better respond to our customers’ questions.