Enhance Your Advanced Capture with Smart Learning
Artificial intelligence, machine learning, deep learning or cognitive computing—no matter what specific terms are used, they all point to the same objective—to automate and improve our organizations by processing enormous amounts of data and learning from that data.
Machine learning tools are neither inherently intelligent nor do they learn without the expertise of humans knowledgeable about how machine learning algorithms work and how to properly train them. Without significant effort, our digital assistants are useless.
When it comes to business applications, machine learning capabilities require significance guidance in order to produce the quality outcomes that we have come to expect. Our domain of machine learning is based upon many algorithms. In fact, it incorporates more than 30 different types and varieties of learning, each with strengths and weaknesses. Machine learning only provides benefits when applied in a specific way to a specific business problem. Also, machine learning is sensitive to the right input data. Just like humans, machines can learn incorrectly on faulty data.
The need for extensive expertise to understand which machine learning algorithms must be employed for a given task and how to manage the significant input data challenge is essential. This is the reason Parascript created Smart Learning.