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The Secret of Neuro-Symbolic AI, Unsupervised Learning, and Natural Language Technologies

In this contributed article, editorial consultant Jelani Harper points out that those who triumph in coupling the connectionist approach of machine learning techniques with the symbolic reasoning underscoring AI’s knowledge base make these technologies much more efficient, affordable, and efficacious for almost any application of processing natural language, especially the previously elusive domain of question answering.

Deconstructing Natural Language Generation

In this contributed article, editorial consultant Jelani Harper discusses how Natural Language Generation (NLG) is rapidly becoming one of the most desired capabilities in the Natural Language Processing stack. The article aligns with a discussion with Arria NLG CEO Sharon Daniels.

Use of Natural Language Processing and AI Driving Big Data Innovation to New Levels

To really drive innovation to a whole new level we’re seeing a rise in the use of Natural Language Processing (NLP) and Artificial Intelligence (AI) to make finding and using quality data that much easier. Leading industry analyst firms have noted that Machine Learning, AI and NLP are quickly becoming table stakes for analytics. Unifi Software’s Sean Keenan explores how tools like these are changing the landscape of big data and driving innovation forward.

Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing

There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Overall, one thing is clear—organizations that are utilizing these technologies now are gaining value. Download the new TDWI Best Practices Report, courtesy of SAS, to learn more about the latest innovations in advanced analytics.