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Chatbot Market 2022: Stats, Trends, Size & Ecosystem Research

Chatbot software

Elon Musk also stated that “If reality was a video game, the graphics are great, the plot is terrible and the spawn time is really long”. Scientists would report that the building blocks of reality were something equivalent to a more sophisticated version of bits and bytes. Scientists would trace reality back to the moment the software was switched on and booted up and call it the “big bang”. They have the ability to nudge and push out personalized information to learners. There’s a brand-new Nest Wifi Pro and a second-generation wired Nest Doorbell.
can chatbots simulate people

If it is unable to answer a complex question, the Pandabot can connect a live agent if available right in the same chatbot window. One company using chatbots for this very exact scenario is Snaptravel. Using an AI chatbot, they created an awesome automated sales agent that can book flights and hotels for customers based on budget and schedule.

What Was the First Chatbot?

A Russian version of the bot is already available, and an English version is expected at some point this year. Before we get into the examples, though, let’s take a quick look at what chatbots really are and how they actually work. Humans are random and emotions and moods often control user behavior, so users may quickly change their minds. After initially asking for a suggestion, they might want to give a command instead. Chatbots must adapt to and understand this randomness and spontaneity. While chatbots improve CX and benefit organizations, they also present various challenges.

Nvidia Sees a Metaverse Populated With Lifelike Chatbot Avatars – CNET

Nvidia Sees a Metaverse Populated With Lifelike Chatbot Avatars.

Posted: Tue, 09 Aug 2022 07:00:00 GMT [source]

AI is the area of computer science that focuses on creating intelligent machines that work and “think” like people. “If you’re building all these advanced AI systems and super-smart and hyper connected technologies designed to interface with humans, they should be able to detect can chatbots simulate people human emotions.” Software developer Eugenia Kuyda is releasing the code to her Replika chatbot, which can inject emotion into conversations. Lal – who’s named after an android from Star Trek, naturally – is an artificially intelligent chatbot and avatar on the Replika AI app.

Growing a Business

Because of their versatility, chatbots have been integrated into a variety of business models, allowing them to address many business pain points. Chatbots are convenient for providing customer service and support 24 hours a day, 7 days a week. They also free up phone lines and are far less expensive over the long run than hiring people to perform support. Using AI and natural language processing, chatbots are becoming better at understanding what customers want and providing the help they need. Companies also like chatbots because they can collect data about customer queries, response times, satisfaction, and so on.

IRS Starts Using Chatbots for Calls – CPAPracticeAdvisor.com

IRS Starts Using Chatbots for Calls.

Posted: Mon, 14 Mar 2022 07:00:00 GMT [source]

“Some people love the Deep Nostalgia feature and consider it magical, while others find it creepy and dislike it,” reads an FAQ from the online genealogy company. “Indeed, the results can be controversial and it’s hard to stay indifferent to this technology. This feature is intended for nostalgic use, that is, to bring beloved ancestors back to life.” “I decided to build a special purpose service when I saw such a desire in the community around Project December after the SF Chronicle story,” Rohrer told The Register.

The Complete Guide to ChatBots and How They Will Revolutionize Customer Service

We know that feedback is a classical concept in learning, whose importance is acknowledged across different learning theories, which chatbots can provide by giving learners timely and effective feedback. A great advantage of chatbot technologies is that they offer learners realistic opportunities for individual tutoring/mentoring. Conversational learning provides fast, targeted and personalized training right in the workflow, which is key to effective knowledge retention.

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’ alt=’can chatbots simulate people’ class=’aligncenter’ style=’display:block;margin-left:auto;margin-right:auto; width=’400px’/>

In a conversation with Digiday, McCann said more than 70% of the company’s bot orders are from new customers. The popular travel search engine Hipmunk promises to answer travel questions and provide recommendations to travelers through its Messenger chatbot. The conversations will take place in Messenger, but that doesn’t mean customers who find you on other parts of the web will miss out. Facebook has created a variety of ways for people to discover your bot. Here’s a look at how Microsoft automatically gathers feedback on chatbot experiences for their Xbox product. Include fun copy and hashtags in the messages, and utilize emojis in quick reply buttons to create visual cues that complement the accompanying text.

Each user response is used in the decision tree to help the chatbot navigate the response sequences to deliver the correct response message. A chatbot or chatterbot is a software application used to conduct an on-line chat conversation via text or text-to-speech, in lieu of providing direct contact with a live human agent. The term “ChatterBot” was originally coined by Michael Mauldin in 1994 to describe these conversational programs. Generally speaking, chatbots do not have a history of being used for hacking purposes. Chatbots are conversational tools that perform routine tasks efficiently.

Everyone experiences grief at some point in their lives, whether it’s when a relative, friend, or pet passes away. They are already in our computers, phones, and smart home devices and have become an integral part of our life. Feed bots look for new information on the web to add to news sites.

Social Media Chatbots

By using the answers the customers give the chatbot, they can build customer profiles as well. Today, another effective approach for a company is to focus on the audience that’s already interested in its products, i.e., website visitors. Sales teams often refer to these audience members as ‘warm leads.’ Warm leads are the people who have actually engaged with the company’s website and are much more likely to answer sales questions.

can chatbots simulate people

The key to close human-chatbot relations is the sophisticated software behind the bots. There are NLP applications, programming interfaces, and services that are utilized to develop chatbots. And make it possible for all sort of businesses – small, medium or large-scale industries.

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’ alt=’https://metadialog.com/’ class=’aligncenter’ style=’display:block;margin-left:auto;margin-right:auto; width=’408px’/>

Break your long answers into a batch of quick replies and set a delay between each message, so the flow is more natural. The advantages of using chatbots for customer interactions in banking include cost reduction, financial advice, and 24/7 support. Used by marketers to can chatbots simulate people script sequences of messages, very similar to an Autoresponder sequence. Such sequences can be triggered by user opt-in or the use of keywords within user interactions. After a trigger occurs a sequence of messages is delivered until the next anticipated user response.

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