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.

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.
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.
May 04, 2021 04 May'21
Pegasystems to release Process AI amid hyperautomation surge

Pegasystems will add intelligent automation features to its Pega Platform that apply event stream processing, machine learning and natural language processing to business actions.
April 12, 2021 12 Apr'21
Nvidia releases new AI software, hardware

Among the AI news from its virtual conference, Nvidia introduced a new DGX SuperPod, an Arm-based CPU, and the general availability of Jarvis, a conversational AI framework.

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natural language generation (NLG)

Natural language generation (NLG) is the use of artificial intelligence (AI) programming to produce written or spoken narratives from a data set. Continue Reading
Exploring GPT-3 architecture

GPT-3 is one of the largest and most well-known neural networks for natural language applications available. With 175 billion parameters, the model easily outpaces similar models. Continue Reading
artificial intelligence

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. Continue Reading

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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
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
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

Learn to apply best practices and optimize your operations.

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
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
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

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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
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
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