It doesn’t have to be Artificial Intelligence vs. Machine Learning: the most effective approach merges the best of both worlds
Summary
Instead, ML is an application of AI and it’s important to understand its key elements and the potential they offer for business value. In reality, however, ML systems are limited in their ability to understand natural language since there are no tools to refine the algorithm for content analysis. Your only option is to feed more examples to the algorithm, but this doesn’t guarantee greater accuracy because you need to provide specific training documents to cover all the use cases. Watch the video “Don’t Settle for Less than True AI” to learn more The reality is that most business scenarios do not fall into this category. In that case, other AI approaches, such as Natural Language Understanding based on a knowledge graph, offer concrete benefits for a range of cognitive tasks and can also be used in scenarios that involve a small, distributed set of sample documents with an average level of complexity.
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