Terminology can be confusing. Semantic technology, natural language processing, machine learning, and artificial intelligence are often used together and sometimes interchangeably. This interesting information came from DATAVERSITY in their article, “A Look Into the Future of Machine Learning.”
Artificial intelligence attempts to understand how our brain accomplishes what seem to us as menial tasks. There have been a few highlights of success, but in very limited and controlled settings.
David Karger, a professor of Computer Science at MIT, recently wrote on Forbes, “I think that the long-term future of machine learning is very bright (and that we will ultimately solve AI [artificial intelligence], although that’s a separate issue from ML [machine learning]).”
Artificial intelligence has the potential to become a monster business. In the next decade, our software’s ability to interact with the wide world around it, rather than simply produce a carefully structured and sterilized representation of that world, may be what makes or breaks business models.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
