NLP is a machine’s ability to understand the natural language of humans, be it spoken, typed, or written. The machine records our input, interprets the words, and translates them back to us or processes commands based on our words. NLP uses data to improve upon search results. It trains itself to have more relevant results to what was asked from the user. 

We not only see NLP in search engines such as Google, but it’s also a foundational part of personal assistant programs like Siri and Alexa. NLP can even be used to track brand performance or sort through thousands of medical records in hospitals.

The possibilities with NLP are constantly expanding as technology advances. 

TechGenies has a more in-depth article on NLP and potential use cases you can find here: https://techgenies.com/what-is-natural-language-processing-nlp-how-does-nlp-work-and-how-can-businesses-use-nlp/ 

Businesses can use artificial intelligence in many different ways such as recruiting, detecting data breaches, and predicting future trends. 

A popular and interesting example is Starbucks. 

Starbucks has adopted the use of predictive analytics to provide personalized recommendations for its customers. They use a loyalty card paired with the mobile app to collect user data and promote its products on a per-customer basis rather than a generalized demographic. The app even sends push notifications at the time users would be most likely to purchase based on their history.

TechGenies offers a free eBook that outlines 7 use cases for implementing AI into your digital transformation strategy. Here is the link if you are interested: https://techgenies.com/7-use-cases-for-business-ai/

In order to stay competitive, organizations need to stay up to date on the latest technologies. The “most important” technology to implement into your organization will depend on multiple factors. Some things to consider when evaluating new technologies to adopt are: industry trends, your unique brand, your company’s values, and the needs and goals specific to the success of your organization.

For example, we have seen many companies adopt chatbots. While they have robust capabilities, they often mimic a customer service representative or sales agent by providing answers to common questions the company receives online. 

Data Science is becoming increasingly popular as well. More companies are exploring how they can use data to predict the future.

The list goes on. Feel free to view our list on TechGenies.com of what we see as the 10 best technologies to adopt and integrate into your organization’s tech stack today: https://techgenies.com/the-10-best-technologies-to-adopt-and-integrate-today/