In this contributed article, Rigvi Chevala, Evalueserve’s CTO, believes that while plenty of investment and progress into AI is causing great strides, ML and AI benefit from simpler solutions. LLMs offer the opportunity for a quick start, and many players are considering how to make them useful to their businesses. The article advises you to count your organization as one of them – understand their benefits and constraints and wisely use them.
How to Effectively Leverage LLMs (Large Language Models) for B2B NLP (Natural Language Processing) Use Cases
October 26, 2022 by Leave a Comment
More Than You Know: The Enterprise Worth of Natural Language Generation
June 24, 2022 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper highlights how Natural Language Generation (NLG) is arguably the nexus point of natural language technologies. It utilizes Natural Language Processing (NLP), is a prerequisite for conversational AI, and largely requires Natural Language Understanding (NLU) for meaningful responses to interrogatives or commands.
Video Highlights: Expert.ai – Executive Interview
January 9, 2022 by
In this interview, expert.ai’s CEO Walt Mayo gives an update on the company’s recent FY20 results. He discusses the technology that is being developed as part of the company’s Path to Lead five-year strategy and outlines how the company expects to commercialise it. He discusses the wider natural language understanding/processing (NLU/NLP) market, highlighting recent M&A activity. Finally, he outlines the key milestones the company is targeting over the next 12 months.
The Secret of Neuro-Symbolic AI, Unsupervised Learning, and Natural Language Technologies
August 6, 2021 by Leave a Comment
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
May 22, 2020 by 1 Comment
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
November 5, 2018 by 1 Comment
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
June 12, 2018 by Leave a Comment
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.
