compartmentalizing it, and using it correctly. The data quality needs to be perfect, and getting there is an immensely complicated process.
For small businesses, machine learning isn’t really viable or useful at this point in time. Of course, it’s never a bad idea to stay updated on what the pioneering large corporations are doing. Machine learning is both new and complex, however. Companies like Google, Facebook and - perhaps - a few foodservice titans are the only ones able to afford the necessary talent that is able to apply machine learning to real world situations.
Until recently computers only worked when directly fed input from people. What you get out of them is only as good as what you put in. Machine learning requires computers to filter their own input from provided information, and learn from that data to reach new conclusions. This means the input is even more important.
Anyone that starts off with bad data and tries to make prediction or optimize workflow is in for a rough awakening. Making sure you have the right data is a massive challenge. Even behemoths like McDonald’s or Wendy’s have a hard time shaping their data, compartmentalizing it, and using it correctly. The data quality needs to be perfect, and getting there is an immensely complicated process.
For small businesses, machine learning isn’t really viable or useful at this point in time. Of course, it’s never a bad idea to stay updated on what the pioneering large corporations are doing. Machine learning is both new and complex, however. Companies like Google, Facebook and - perhaps - a few foodservice titans are the only ones able to afford the necessary talent that is able to apply machine learning to real world situations.
WHAT ARE THE MOST IMPORTANT PITFALLS?