Natural language processing techniques
Natural language processing is the AI technology that allows computers and humans to communicate. Enterprise search and sentiment analysis are among the current NLP use cases. Get NLP tutorials, coverage of NLP platforms and learn about natural language processing techniques.
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Natural language processing techniques News
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September 09, 2021
09
Sep'21
IBM Watson Assistant tools aim to speed contact center CX
IBM has released new AI capabilities to speed virtual agents and automate more contact center tasks. The vendor also formed a partnership with contact center vendor IntelePeer.
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August 26, 2021
26
Aug'21
RPA market booms as enterprises automate with bots
The RPA sector is expected to reach nearly $3 billion this year as new vendors compete with larger established RPA specialists and tech giants for enterprise automation business.
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May 28, 2021
28
May'21
Microsoft revs up AI push with GPT-3-enabled Power Apps
GPT-3-enabled Microsoft Power Apps will enable those with little or no coding experience to build Power FX applications on Azure using natural, conversational language.
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May 21, 2021
21
May'21
Google racing to catch up in growing enterprise AI market
At Google I/O this week, the tech giant launched a new enterprise machine learning platform and language recognition model, and advanced other AI products under development.
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10 top artificial intelligence certifications and courses for 2021
Numerous AI certifications and courses cover the basics and applications of artificial intelligence, so we narrowed the field to 10 of the more diverse and comprehensive programs. Continue Reading
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6 top AI books to read in 2021
Many sources provide comprehensive information on the fundamentals and applications of artificial intelligence, so we narrowed the field to six of the more diverse AI books. Continue Reading
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How to become an artificial intelligence engineer
Learn what it takes to launch a rewarding career as an AI engineer, including required skills, responsibilities, qualifications, educational opportunities and top salaries. Continue Reading
Evaluate Natural language processing techniques Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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9 top AI and machine learning trends for 2021
Tiny ML, multi-modal learning, responsible AI -- learn about the top trends in AI for 2021 and how they promise to transform how business gets done. Continue Reading
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The top 5 benefits of AI in banking and finance
The strategic deployment of AI in banking and finance can bring substantial benefits. Learn about how AI tools are transforming financial services and the risks to be mindful of. Continue Reading
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What does NLP mean for augmented analytics?
Explore how NLP is being used by augmented analytics platforms to improve employees' search capabilities, expand data visualization and build a data-driven culture. Continue Reading
Manage Natural language processing techniques
Learn to apply best practices and optimize your operations.
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5 top chatbot features to boost your AI plan
By infusing their chatbots with natural language understanding, contextual messaging and other AI features, enterprises can build and deploy more powerful chatbots. Continue Reading
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How emotion analytics will impact the future of NLP
Conversational agents and chatbots struggle to understand complex human speech, including sarcasm. But that could change as NLP increasingly incorporates emotional understanding. Continue Reading
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4 AI career path trajectories for IT professionals
As the desire for AI and machine learning in-house skills skyrocket, those looking to break into the market have a variety of career path options, including AI architect and BI developer. Continue Reading
Problem Solve Natural language processing techniques Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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5 reasons NLP for chatbots improves performance
Experts say chatbots need some level of natural language processing capability in order to become truly conversational. Without language capabilities, bots are simple order takers. Continue Reading
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Supervise data and open the black box to avoid AI failures
As AI blooms, marketers and vendors are quick to highlight easy positive use cases. But implementation can -- and has -- gone wrong in cases that serve as warnings for developers. Continue Reading
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Building a better conversational AI assistant requires emotion
Industry after industry is seeing benefits from chatbot implementation, but customers and developers are looking toward a future of more connected, intelligent conversational agents. Continue Reading