In the coming year, more and more companies will make the move to deploy some type of AI solution—whether it is a chatbot, machine learning functionality, or deep learning application. You may have educated yourself on the latest innovations in AI, reviewed different solutions on the market and educated your company on how AI can improve your decision making, automate key processes and improve efficiency.

But despite all this planning, the million-dollar question remains: Is your data ready for AI?Last May, the Economist stated that “the most valuable resource is no longer oil, but data.” All applications of AI require lots of data to create, test and train algorithms.
So, without the proper data, AI really has no chance of success—data is really the life source to effective algorithms.To read this article in full, please click here

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