Chatbots are becoming a part of normal digital life, as they enlarge on messaging platforms and are launched as digital supporters by the largest technology companies.

There is a varied range of chatbots available to help you check finance dealings or the weather, establish travel or buy goods.

In a point of technical view, a chatbot only indicates the natural development of a question and answering system called Natural Language Processing (NLP).

Formulating replies to questions in natural language is one of the most characteristic Examples of Natural Language Processing useful in various enterprises’ end-use applications.

Best AI-Powered Chatbot AppsLark – a Smart Fitness Coach plus NutritionistLark is a familiar, conversational, smart and interactive modern fitness app used to track your health and fitness.

This is a goal-oriented chatbot, which can serve as your happiness buddy at tough or demanding times.

According to Boston Consulting Group, the internet users in emerging markets will swell to a staggering 3 billion by 2022.

One of the most proven ways is automating your customer service by using AI-powered chatbots.

Chatbots enable brands to offer absolute optimal customer experience by organizing customer journeys into a seamless as well as transparent cycle.

Natural Language Processing (NLP) technologies are allowing customers to connect with your brand in a more human way than reaching out through Boolean search terms or forms.

Moreover, NLP is critical in enabling customer support bots to identify intents, actions and contexts in languages and helping them frame relevant answers.

Faster customer interactions at lower cost

Over the past few years, AI and machine learning applications have managed to enter every aspect of life: speech recognition to social media, retail to radiology, course advancement to mechanical technology and that's just the beginning.

One of the significant advancements that demands mention is the job of AI in education and learning.Artificial Intelligence is making revolutionary changes and improvements with virtual learning solutions that present a novel approach in granting education to students with varied capacities and interests.Areas where AI can help the Education SectorEducation aligns the base for human conduct.

The educational ecosystem is enormously influenced by AI and virtual assistants.

While the debate in regards to the suitable screen time for kids is as yet seething on, machine learning and AI are good to go to change the eventual future of education tools and techniques.Here are the areas where AI can help the education sector:Educator and AI collaborationWith the development of AI in the educational field, it is required to fill the gaps in learning, driving effectiveness and personalization in the educational framework.

It uses the best attributes of teachers and machines, bringing the best outcome for students.Differentiated, individualized learning AI-powered virtual assistants enable the customization of curriculum depending upon a student's ability to learn, which is generally impossible by a traditional system.

It can adjust learning and a level of differentiation, in contrast to the ordinary framework.Creation of smart content Advanced AI capabilities can be put to use in the formation of advanced digital textbooks and learning digital interfaces, pertinent to students in various grades and age groups.Use Cases of AI in Education:Versatile Learning The teacher handling a class of students finds it impossible to dedicate so much time to one student alone.

Each day AI becomes an integral part of our lives.

Companies are more often considering AI as an option to serve their customers by saving time and resources on business development.

Due to the highest load during the COVID-19 pandemic developing an AI for healthcare providers became more and more popular.

The use of chatbots in medicine is an excellent idea many healthcare organizations are following today.

Chatbots are helping to reduce loads on receptionists and healthcare professionals by not only collecting details about issues patients are experiencing but also matching details with hospital records and providing pre-programmed solutions to them before someone connects with the one in need. 

It's important for AI chatbots that needs to be smart for aware the user needs and act a relevant source of solution that convinces to the user. So while developing a chatbot here are 4 primary needs to be consider. For more details- https://bit.ly/2GUU0a6

Check out the most interesting insights on how AI can change the productivity of HR departments.

I have also collected the most interesting ue cases and examples of practival use of AI in HR.

Here is the full post to read.