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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. billion by 2030.

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Natural Language Processing with R

Heartbeat

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

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Best AI Plugins for WordPress (2023)

Flipboard

WP AI Assistant may email the admin with conversations, guide customers to relevant pages, and provide advice on making purchases. It complies with the Speech Synthesis Markup Language (SSML) standard, allowing you to customize the voiceover for each blog post.

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The three levels of NLP for your business

NLP People

In the past years, the tech world has seen a surge of NLP applications in various areas including adtech, publishing, customer service and market intelligence. To put it simply – NLP is wildly adopted with wildly variable success (let’s assume a working definition of success in terms of quality and ROI).

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Top AI Blogs and Websites To Follow in 2023

Dlabs.ai

These brilliant AI blogs are well worth your attention. 17 AI Blogs and Websites to Read 1. MIT conducts all sorts of groundbreaking research, with the progress and results published straight on its blog. Analytics Vidhya (Developers) Analytics Vidhya is the blog for data scientists. And it’s easy to see why.

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Computer Vision and Deep Learning for Healthcare

PyImageSearch

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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10 Tips for Research and a PhD

Sebastian Ruder

This advice should be most relevant to people studying machine learning (ML) and natural language processing (NLP) as that is what I did in my PhD. Having said that, this advice is not just limited to PhD students. Write a blog. If the project is not going well, your motivation and well-being may suffer.