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IBM announces its first commercial availability of vital technologies from Project Debater which is integrated with IBM Watson, which helps businesses to start mining and analyzing the most tricky human language.
IBM announced new AI-based technology to join its current portfolio. Project Debater will be integrated into IBM Watson to help enable businesses to begin extracting & analyzing the most challenging aspects of human language.
This is the first commercialization of Natural Language Processing (NLP) that comes from IBM Research`s Project Debater. Complex topics or sentences have been hard for the AI to comb through and understand, IBM plans to tackle this by bringing their projects into one streamlined commercialized offering for the companies. A new advanced sentiment analysis feature is defined to identify and analyze idioms and colloquialisms for the first time. IBM quotes phrases like ‘hardly helpful’ or ‘hot under the collar’ have previously been challenging for AI systems to spot and analyze. But with advanced system analysis, IBM hopes to tackle the complexities of human natural language. To further help the businesses IBM is bringing technology from IBM research to analyze business documents such as PDFs and contracts.
Rob Thomas, GM of IBM Data and AI was quoted saying, “A language is a tool for expressing thought and opinion as much as it is a tool for information.” This has been the motto of IBM with its recent announcement of bringing Project Debater and integrating it into Watson.
Today IBM announced that it plans to integrate project Debater technologies into Watson throughout the year to enable businesses to capture, analyze and understand more from human language and start to transform how they utilize intellectual capital that’s codified in data. IBM`s focus is on advancing the client’s ability to exploit natural language.
IBM further detailed the ABCs of their technologies and future goals:
Analysis: Advanced Sentiment Analysis has enhanced sentiment analysis to be able to better understand the complexities of natural language, a new classification technology that will enable clients to create AI models that can more easily classify clauses that occur in business documents. This technology will be integrated into Watson Natural Language Understanding, additionally, IBM also announced plans for Watson Discovery based on Project Debaters deep learning-based classification, businesses can now comb through several hundred samples to do new classifications easily.
Briefs: Summarization technology analyzes a variety of sources to provide users with a summary of their interested topics. An early version of this was shown during the Grammys this year when data from 18 million articles were analyzed to provide bite-sized insights or celebs. This was then shown off to the public on the red-carpet live stream, on-demand videos, and photos across their website. IBM plans to add this to their Watson Natural Language Understanding later this year.
Clustering: Advanced Topic Clustering spoke of their plans for Watson Discovery which will collect insights from project debater, the new topic clustering techniques will enable the users to “cluster” all data to create “topics” related to the information gathered. This will also allow subject matter experts to customize the topics to reflect the language of specific businesses or industries such as insurance, healthcare, and manufacturing.
IBM has always been at the forefront in NLP, developing AI technologies that help businesses. IBM has furthermore cemented their place by integrating technologies such as Project Debate into Watson and commercializing it. NLP is now backed by Watson Discovery, IBM Watson Assistant and Watson Natural Language Understanding.
For example, Watson is being used in ESPN Fantasy Football which helps users get real-time insights. A multinational professional services network worked closely with IBM to create an AI-based on Watson services and Watson’s Natural Language Understanding. The goal was to help companies to identify, claim and retain potential R&D Income Tax Credits. KPMG states that in the past year clients have seen more potential for R&D tax credits with some seeing more than 1000% increase in the number of documents reviewed. The goal has been to allow engineers and scientists to spend more time on innovative work and less on income tax compliance services.
With these announcements, IBM has set a goal to reach the pinnacle of AI services for businesses, by focusing more on NLP, IBM hopes to achieve what has been impossible until now - analyzing natural language and processing millions of documents. The ABC`s of IBM Watson services will continue to add new technologies throughout the year to achieve their goal.