Artificial intelligence (AI) and machine learning models are here to stay and are relevant to any line of business. New entrepreneurs need to be cognitive that emerging technologies like machine learning, if implemented well, can have a direct impact on a company’s ability to succeed. This information came to us from AIthority in their article, “How Can Startups Make Machine Learning Models Production-Ready?”
However, a machine learning model is only as good as the data used in training. For most startups, the biggest challenge is obtaining enough data related to the business problem they are trying to address in order to train the model sufficiently. It takes time to accumulate enough functions and transactions to be useful when it comes to solving the unique and often complex problems that startups typically focus on. A machine learning solution can take as much as a year or two to attain absolute accuracy in terms of performance.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.