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AI Strategies: What Is Natural Language Processing (NLP) and How Can It Help Businesses?

What Is Natural Language Processing

Combining language with technology has driven innovation in for decades. With the right strategy, it can help businesses today.

Copyright by biztechmagazine.com

SwissCognitive, AI, Artificial Intelligence, Bots, CDO, CIO, CI, Cognitive Computing, Deep Learning, IoT, Machine Learning, NLP, Robot, Virtual reality, learningCombining computing technologies with human language has become a driving force for modern-day technology.

The experience of using a smartphone, for example, wouldn’t be quite the same without the ability to pull up a map with a computerized voice navigating your next turn. Tools like Google Lens, which can translate words captured by a camera on the fly, would not be quite as impressive.

These tools represent just some of the power of (), a form of that promises to have use cases far beyond smartphones.

For businesses, the ability to process and written words in real time could prove essential as organizations hope to better understand consumer and employee sentiment, analyze data and automate tasks that once required careful manual analysis.

Still, we may be only scratching the surface of .

What Is Natural Language Processing?

At a high level, describes a computer’s ability to process and comprehend language, whether in written, spoken or digital form.

It’s often thought of as a very recent capability of computers. In fact, however, dates to the earliest days of computers. For example, early  systems relied on specialized fonts that computers could detect. 

Today, is seen as mainstream and practical, with -powered smart assistants such as Google Assistant, Apple’s Siri, Amazon  and Microsoft’s Cortana well established as mainstream use cases.

 has become crucial in business as well, and is seen as a major area of growth for many companies’ strategies. The Global Adoption Index 2021, an IBM Watson project, found that nearly half of businesses are using some form of technology, with another quarter of businesses expected to use it within the next 12 months.

“The top use cases for today — improving the customer experience and helping employees reach new levels of productivity — are critical priorities for nearly every business,” says Dakshi Agrawal, an IBM fellow and CTO for at IBM.

What Are the Steps in ?

The steps involved in start with having access to data in its original form (a written message in a database, for example) and a language base to compare it with.

After the data is collected, the information is broken down using several data preprocessing techniques. Among them: […]

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