As learning is no longer defined by the four walls of a classroom, virtual educational tools have increased in popularity. For example, data from statista.com shows that in the first quarter of 2020 Google Play saw 466 million downloads of educational apps. That number continues to grow especially amid various social changes.
To help bridge the gap between eager learners and accessible education, Bot Libre has launched its latest mobile app — Virtual English Tutor. The app has features that have been proven by experts to increase memory and learning outcomes and are currently being developed to meet individual user needs.
Conversational English Lessons
Different learning categories — greetings, job interviews, and dating.
Chat segment for conversational practice
Virtual English Tutor is meant to offer English lessons to persons interested in learning English as a second language or to sharpen their current English skills. The app is also designed as a virtual tool for English tutors to engage with students in the environments they spend most of their time, on the phone, and online. Since English is recognized as one of the universal languages, the need for educational tools like Virtual English Tutor is of utmost importance.
“The app is a good demonstration of how the Bot Libre platform can be used in education. We will continue to create more lessons and with the active engagement of English teachers, the app can facilitate curriculum-based content.”, said CEO and expert software architect of Bot Libre, James Sutherland.
Benefits of Learning A New Language
Develops good communication skills
Improves memory and other cognitive functions
Benefits of the Virtual English Tutor App
Offers 24.7 learning availability
Provides new and exciting learning techniques
Creates a marketplace for English teachers
To access these benefits and more, users can download the app for free on Google Play, where they will be provided with free lessons and a chance to be first in line when new and exciting features are added.
Bot Libre is an open-source platform for chatbot development and artificial intelligence solutions fit for the metaverse.
Artificial Intelligence doesn’t need to be a grim topic to discuss. Replete with possibilities to become the most transformative tool in the years to come, AI is fast shaping into an assistive resource instead of staying on course as an overwhelming tech. Clubbed with Machine Learning algorithms and principles of Data Mining, AI is rapidly moving towards a summit way too steep for human contemplation.
But then, AI and Machine Learning discussions need not be as complex as the tech itself. AI, in its entirety, is expected to be an industry and business commonplace in the next few months to come, and therefore, it is important to check out some era-altering current trends in AI that might gain a lot of traction moving into 2022.
What is The Basis for Enlisting Recent Trends in AI in 2022?
Tech trends are perceptive stepping stones that give us a sneak peek into the future. For enlisting AI and ML trends in 2022, it is therefore important to understand that global firms are already contemplating AI-driven projects over the course of the next year, and riding on these positive speculations, the AI and ML market seems to be riding rapidly towards the $9 billion market valuation.
And for a tech space as big as this, it is only appropriate to know some of the raging trends in advance to pre-empt innovation faster than most.
6 Future AI Trends that Require Detailing
The concept of machines evolving beyond contemplation and being able to think independently is already huge. But then, trends are better descriptions of how machine learning and thinking abilities can actually make their presence felt in the real world.
Have you ever come across a thought that what would happen if machines become intelligent enough to replace humans, especially when the focus is on amplifying workforce productivity? Well, that might be a thing to worry about in the future. For now, at least in 2022, we might see the evolution of augmented workforces, a space where humans and intelligent machines will coexist.
Unsure about how an augmented workforce would pan out! Here are the key pointers relevant to the same:
Cohesive cognitive functionality, with machines helping humans grasp the concepts better
Quicker and more accurate lead generation
Pre-emptive maintenance schedule for industrial components
Faster information procurement
Generation of smarter tools for eliminating errors
Better business forecasting
NLP-powered fraud detection systems
Better aggregated financials
Trend 2: Improved Healthcare
Also, the following benefits of an augmented workforce might vary depending on the industry you plan on influencing with AI and ML insights. On digging deeper, we would see that augmented workforce and augmented intelligence also have roles to play in Healthcare AI, with doctors benefiting significantly from faster threat detection and intelligent imaging resources.
One such use case has to be the insanely accurate CT scanning space, where AI can be an instrumental resource to improve speed and lower overall costs. However, efficient data annotation services are important to consider for this trend to hold.
Also, with virtual healthcare getting a more persistent nod in the post-covid era, virtual monitoring and crowd detection technologies are expected to work hand-in-hand with the realigned healthcare domain.
Trend 3: Conversational AI and Hyper Automation
As 2021 draws to an eventful end, 2022 might just see companies focusing way more on data quality. While the approach to training AI and ML models still primarily hinges on data quantity, with credible data collection and annotation firms coming into the picture, quality will also be a factor.
And if a company plans on launching conversational AI models like Siri and Bixby, it would be important to strike the perfect balance between volume and quality to make the models successful.
And is Hyper Automation even a word? Well, it would be, in 2022, courtesy of the AI and Data Science confluence. And if you aren’t privy to the more technical terms, Hyper Automation is more about seamless task automation with advanced technologies put to use, more so with Conversational AI models to assist.
Coming to the tech stack forcing the Hyper Automation revolution, it all boils down to RPA (Robotic Process Automation), ML, Cognitive learning, and obviously, AI. Also, if you are into specifics, this intelligent form of automation is expected to be an asset in:
Facilitating conversation and intent analysis to understand customer sentiments better
Trend 4: AR, VR, and the Metaverse
The concept of Metaverse and its connection to Web 3.0 is making companies reinvent the wheel. And with 2022 already knocking at the doors, the focus will initially be on developing the best Augmented and Virtual Reality offerings to be more Metaverse-relevant.
And what’s heartening to see is that even today, almost 90% of the top brands are stoked enough to incorporate AR & VR tech for pushing marketing campaigns. With experienced service providers offering better AR & VR data collection and annotation services, Augmented and Virtual Realities will soon rival the reality we are currently inhabiting.
Trend 5: Improved Focus on Data Annotation
Did we just say data annotation? Yes, we certainly did, as data labelling will hold the key to better AI and ML models in the months to come. But that’s not it. Data annotation, despite being very much there, is still a sluggish and time-consuming process. In 2022, riding on the innovations adopted by leading data annotation firms, the process of labelling will shift towards a more automated format.
The focus, therefore, will be on speed labelling, smart validation of data sets, and pre-labelling to make the sequencing and clustering faster than ever.
Wait, aren’t autonomous vehicles already around? Yes, they are, but 2022 will see a massive rise in their global adoption, courtesy of AI-powered tech and the inclusion of improved self-driving capabilities. With Computer Vision is slowly moving up the ranks to improve the perceptive abilities of machines, experienced data annotation firms are progressively trying to make self-driven cars more intelligent. And moving into 2022, the primary focal points would include:
Improved on-road categorization
Better object detection and localization
Semantic segmentation for better object understanding, and more
And that’s not it. We are expecting the first-ever Autonomous Ship to surface in 2022. Now that’s as big as it can get.
But wait! Are these the only future AI trends that we need to watch out for going into 2022. Not exactly as you should even keep your eyes open for the likes of Creative AI, improved Conversational AI, and Explainable AI in the future. However, these tech trends might take some time to settle down, and if you are only interested in the immediate future, i.e., the next few months, these six trends might see increased global adoption, riding on the able shoulders of Artificial Intelligence and Machine Learning.
And if you are an organization looking to strengthen offerings with new AI-drive resources whilst making good use of any of the relevant trends, it is important to connect with credible and experienced data collection, data annotation, and data cleansing firms to get the data sets prepared, well in advance. As in the end, it all boils down to the quality of data fed into these intelligent AI and ML setups.
As a Google assistant owner you must have wanted a feature like incognito mode or something like that to search for a surprise gift on your partner’s birthday. So Google now made your wish true. With this new ‘Guest Mode’ on Google Home and Google Nest smart speakers any of your conversations with Google assistants won’t get saved.
However, Google doesn’t state the fact they save your ‘ok Google’ recordings by default and you can view or delete data anytime but still we wanted something more prominent and for that ‘Guest Mode’ is here to do that job. It will automatically delete all the recordings and conversations you had with Google assistant and nothing will be stored on your history.
So now let’s get straight to how you can enable Guest mode on your Google Home speaker
The best part of this feature is you don’t have play tricky to get this feature on. Just command “hey! Google, Enable/turn on Guest Mode” and boom you are ready to use it.
And when you are done with your private conversation with Google just command “hey Google, turn the guest mode off”.
And in case, if you forget whether it’s on or off just ask “hey Google, is the ‘Guest mode’ on ?”.
However, there are some limitations such as while having ‘Guest Mode’ on you can’t update of your events from Google Calendar or access any personal contact. But otherwise you can do plenty of things.
Well, this ‘Guest mode’ feature is now only available in English speaking regions.
Well, the very first question that might end up troubling you would be ‘WHAT IS ROUTINES HERE?’. We know well, but don’t worry pal it’s one of those things again which offers you comfort.
Routines have to do with how gadgets respond to your commands rather than simply turning them on and off, which has long been a characteristic of Groups within the Alexa app. That could mean dimming some lights, changing the color of others, or turning up the heat to a specific setting.
Alexa Routines allows you to regulate your smart home with a unified command, allowing you to get the functionalities you desire from your smart house. Amazon has further incorporated music, podcasts, and radio into the mix. It has also recently made it easier to connect Routines with friends and family by providing URLs found in the Alexa app.
Who wouldn’t want restful nights of sleep? If you count yourself in then I bet you wouldn’t want to miss out on any of the following steps:
To begin an Alexa Routine, simply open the Alexa app, select More, and then Routines.
A list of your prevailing Routines will be displayed, and Amazon will suggest a few to get you started under Featured. To start a new one, either click one of these or strike the + in the top-right corner.
The screen is straightforward, with only two options:
This is primarily the brief command you’ll give Alexa when this occurs. To insert one, click the + button and select from a variety of options.
If you select Voice, then the Alexa voice command will be used to start the Routine. All you have to do now is individually type it in. Maintain a natural and clear tone with whatever you say.
ALEXA CLEVER HOME ACTIONS
Smart Home Technology Smart sensors and device status are used in routines to initiate an action. After you’ve chosen the conditions for your routine, you’ll need to append all of the actions. Simply click the + icon beside Add action to do so.
The components and smart home devices that will be operated when you speak your selected command are the actions you incorporate into your Routine.
We’ll run through some of the options briefly below, but it’s important to note that you might not have to start from the ground. You can use the shortest route to operate specific Groups or Scenes that you’ve set up in the Alexa app.
Lights-You can append savvy lights to your Routine for more than just on/off control. Compatible wise bulbs can have their illumination, tonality, and color adjusted.
Thermostats and smart heating-You can regulate thermal spots in your home with an on/off setting that refers to the standard temperature in the Smart Home listing, or by choosing customized temperatures for the Routine if your smart heating brand endorses it.
Smart plugs — You can switch on/off smart plugs from your Routine, which is good for tasks like lamps (without smart bulbs), gaming systems, kettles, and more.
Music/speakers — You can now include tunes, podcasts, and radio in your Routine. That’s an important part of creating better wake-up and nap time recipes.
Robot vacuum cleaners — With a good late-night routine, your robot vacuum cleaner may be able to do its job while you stay in bed.
Another excellent suggestion is to use a smart humidity sensor to activate the system for air-conditioning.
Alexa Routines can include features such as the ones listed below, in addition to activating smart home devices.
News — Alexa can interpret your flash to debrief, which is comprised of media abilities. It’s like getting a customized news broadcast tailored to your preferences.
Weather — Have Alexa read you the weather report, ideally as part of a morning routine. Keep in mind that these can be set to go off at the same time as your alarm.
Calendar — Whether it’s today or the future, Alexa would go over your calendar. You can also have it notify you of the upcoming occasion on your calendar.
Want to share your routine with your close ones?
To have the easily accessible URL, open the Alexa app, go to Routines, click the preferred Routine, and choose whether to share by message, mailing, or social networks.
When your loved ones receive the URL, they will be guided through some on-screen guidelines in the Alexa app and should see some fields in the yellow text where they must select which device a step of the Routine should be performed on.
Assessments are common in almost all situations including sports, art, and health, but it’s most prevalent in educational bodies as there are countless education and student assessments throughout the year.
Just think of all your online assessments, in-class tests, pop quizzes, quarterly exams, annual exams, and major leaving examinations.
So, what’s the problem with assessments? Is there even a problem? And should we try to change it when nothing seems awry? This is why..
Companies are forever seeking opportunities to save time, increase efficiency, promote positive customer relationships and boost their revenues. To achieve this, many businesses readily invest in hiring customer service agents. A 2017 article by Forbes shows that the customer service industry is a booming market, at the time valuing $350 Billion.
So customer service is key to your business’s success, but what of companies with limited resources like a startup? Or organizations whose employees are already stretched thin?
A virtual agent provides a welcome solution.
A virtual agent is a term typically used to describe a type of chatbot for businesses.
Virtual agents offer help with websites, give information about their companies products or services, answer users’ questions, and provide support, sales, and customer service. They are an automated version of a human customer service agent made up of artificial intelligence applications that have come to seamlessly interact with human intelligence.
Bot Libre makes it EASY for you to create your chatbot or virtual agent for your business.
For free, and with no programming required, you can create your bot, and embed it on your website, mobile app, or social media. You can create bots for website help, technical support, sales, marketing, customer service, or to automate social media, thus improving your online presence.
Training Your Chatbot
Chatbots can be trained using one of several simple options.
Import FAQs, scripts, and chat logs
Review and edit responses from Admin Console’s Training & Chat Logs page
Have conversations with yourself and others
Listening in on the chatbot during a live chat
Once you have created your chatbot, you can begin to train it using the steps above. Then you can personalize it to suit your website. You can change your bot’s picture or choose an animated avatar from the Bot Libre Avatar page in its Admin Console. You can also connect your bot to Twitter, Facebook, Skype, Telegram, Kik, WeChat, email, or SMS. You can import chat logs, words from Wiktionary, or data from WikiData. You can browse the internal structure of your bot’s memory. If you’re an advanced user, you can program or script your bot using AIML or Self. You can view your bot’s log.
Embedding Your Chatbot Onto Your Website
The Embed page provides several different types of embedding, and many embedding options to control the look of the bot on your page. The “Box” embedding option is the most common for a virtual agent and gives you a “Chat Now” button on your page.
The embed page also lets you enter a CSS styles sheet to customize the look and feel of your bot’s popup. You can also customize the style settings in the generated code.
Bot Libre supports several different types of button and chat styles to enhance user experience.
Here are just 5 of the 11 Bot Libre button styles for the embedding page. Simply select any button style from the button style drop down menu.
Bot Libre now supports five chat styles. Pick one of the five different chat styles for your embedding by selecting a specific stylesheet option from Style Sheet drop down menu.
Bot Libre also supports custom style sheets. Simply select “Custom Style” from the style sheet drop down menu. Enter the URL pointing to your custom style sheet in the custom style sheet input field, and press the “Generate Code” button. You can copy the code from any of the existing style sheets to make your own custom style. You will need to host your custom style sheet on your own website, or in the Bot Libre script library.
If you also want to add live chat to your website, you can do that by creating a Live Chat Channel, and getting its embed code from its embed page.
That’s it, good luck creating your bots! If you have any questions, encountered any issues or would like help setting up your bot, you can contact email@example.com , or chat with the Help Bot or upgrade to our Platinum service where we can build your bot for you, contact firstname.lastname@example.org .
Ally McBeal, an American drama that was popular in the 2000s, has an episode about a woman who chooses euthanasia because of her “dream” family. The story starts with a woman with an absurd demand of living her life in a dream with her “dream” family through euthanasia instead of her reality where she is alone. Usually, dreams are not continuous, but the woman can continue the same dream when she sleeps and live a totally different life. This episode is especially memorable because the story is very relatable to the element of “Metaverse” in the 21st century. New technologies are shifting our imagination closer to reality.
Metaverse has become a buzzword in the IT industry recently. The Metaverse is a 3-dimensional virtual world where social, economic, and cultural activity takes place. Virtual reality has become more popular in the last few years, so many companies are working on making the Metaverse a reality. Facebook, Microsoft and NVIDIA are all working on a version of the Metaverse. Facebook has changed their company name to Meta, Microsoft is working on “enterprise Metaverse,” and NVIDIA is working on a project they’ve named Omnibus.
Why Is the Metaverse So Popular?
Metaverse is the next step in virtual reality (VR). While VR allows you to immerse yourself in gameplay through an avatar, the Metaverse will allow you to engage in a range of social and cultural activities.
Millennials will remember a popular online chat room, Habbo Hotel, that allowed users to create rooms, personalize their avatar, and engage in conversations and games with other users. Habbo Hotel and chat rooms of the early 2000s like Club Penguin were the predecessors of the Metaverse. They allowed a certain amount of personalization and social activities, but the Metaverse promises an immersive experience through the use of VR technology.
The Metaverse that tech giants like Meta (formerly Facebook) envision is like an online world where users can work in virtual offices, attend virtual concerts, and even walk virtual pets with their friends. The Metaverse is so popular because it represents breaking down the final barrier in globalization, location. Location will no longer be an issue in catching up with friends or attending events. You can do all of those things from the comfort of your own home.
Not just for gamers, the Metaverse provides more freedom in communication and life.
A lot of dystopian sci-fi books and movies have examined this concept of a “second-life.” Think about the Matrix movies, Ready Player One, or Snow Crash, where the term the Metaverse originated. Virtual reality gaming allows players to immerse themselves in gameplay, but the Metaverse will allow people to conduct life in a virtual environment. Many experts believe that Covid-19 was a catalyst to the sudden interest in the Metaverse. Since reality was restricted due to the pandemic, communication moved largely online.
To look at where it all began, we need to look at online gaming. Two great examples of this are Zepetto and Roblox.
Zepetto is an AR avatar-based service created by Naver Snow. It was derived from their camera application Snow, which allows users to turn selfies into avatars. Zepetto was launched in 2018 and has grown exponentially since then, surpassing 200 million users in 2021. In 2019, Zepetto even ranked first in the app stores of 37 countries.
The functionality of Snow allows users to create 3D avatars by taking photos of their faces. Deep learning-based facial recognition software creates an avatar that they can then customize with skin, eye, and hair color. Once the avatar has been created, users play games and communicate on social media through Zepetto.
Zepetto has a circular structure that allows users to create anything they can imagine. Avatars function as if they were real people with personalities and can participate in activities like in real life. In Zepetto, users can:
Participate in dance competitions
Cook for friends
Tour a house
Users can record their activities and share them on their social media feeds within Zepetto. This has been done over 1 billion times to date.
Roblox differs from Zepetto in that it concentrates on games rather than social functions. Roblox boasts 43 million daily active users and is particularly popular with teenagers in the US. It was released in 2006 and now operates in over 180 countries, and over half of American teenagers under the age of 16 use Roblox.
The driving force behind Roblox is “openness.” Unlike other gaming platforms, users can create and distribute their own games on the Roblox platform. The Roblox environment makes it easy for people to create games using simple coding, and elementary school students in particular use this feature with gusto. There are as many as 50 million games on Roblox, and more than 10 million games are played every month.
While the most popular games are provided by game companies, the individual users also create games and earn money through contributions.
The Metaverse: Removing Daily Commutes
The Covid-19 pandemic’s remote work requirements identified another use of the Metaverse. While technology makes it easier to work from home and to communicate with colleagues, the work environment was lacking. A major benefit of working from an office is the ability to collaborate and network with colleagues. Remote work adds barriers to those activities, and many people who started new roles in the pandemic reported that they didn’t know any of their colleagues.
It seems that flexible work arrangements are popular, with many workers wanting the option of working from home in order to reduce the cost and time of a daily commute. However, the Metaverse will be able to bridge the gap and allow more connection throughout the workday.
Virtual workplaces are already in use across the world. eXP Realty, a US real estate broker, has been using a virtual office since 2009. They needed to cut costs after the housing crisis but didn’t want to lose the benefit of sharing knowledge around the office. While it took a little while to adjust to moving around in a virtual space, realtors quickly took to the platform. eXP Realty has even implemented office etiquette guidelines for their virtual office like respect closed office doors. Open office doors in their virtual workspace mean colleagues can enter freely to collaborate.
How Will the Metaverse Look in the Future?
So far, it is hard to tell because the Metaverse is in very early stages. Currently, users explore virtual spaces through an avatar and can use text or voice chat to communicate with other avatars. When tech leaders speak about the Metaverse, they talk about creating realistic experiences such as virtual concerts and product launches. But so far, it is hard to see how that can be achieved in a realistic way.
The one thing we do know is that a lot of investment is going into creating the Metaverse and there is a lot of interest from people and companies in creating this virtual world. We predict that the Metaverse will bring wide scale change and that people will spend increasing amounts of time in the Metaverse, both professionally and in their personal time. The Software Policy Research Institute predicted that Metaverse platform B2C games and social networking would gain mainstream attention in 2020 and 2021, and from that point, adoption would spread to B2B and B2G areas. PricewaterhouseCoopers (PwC) predicted that the Metaverse will be worth 300 trillion in the next five years as companies are discussing Metaverse real estate and corporate opportunities.
We believe that a growth focus in the Metaverse will improve the realism of the content. This is something that tech companies are already working on as a marketing differentiator. So far, the Metaverse will combine AR, VR, and MR (Mixed Reality) technology to allow users to move around the virtual world, seeing through an HMD (head-mounted display.) There has been talk of incorporating other senses such as touch and smell that will relate to the visual content. Another prediction is that companies can create avatars for AI technology, called MetaHumans, who can interact with the virtual world and avatars as a human-controlled avatar would.
All we can say for sure is that we are excited about the possibilities the Metaverse will bring to the world both in terms of personal and business impact. We advise companies to watch out for new developments so they can be quick to jump onboard trends and adapt to the virtual world.
What is OCR? How does it work, and what are its use cases? — Tech Zimo
You might be familiar with OCR technology if you have been in the race of making automated document processing workflows. Moreover, with increasing digital advancement
Enterprises across the world are transitioning from paper-based documents to digital data processing. But, what is OCR? How does it work? And in which business process can it be utilized to leverage its benefits? Let’s dig into this article into what benefits OCR brings to the table.
An OCR system is a combination of hardware and software. The main goal of this technology is to scan the textual data and images from the physical document and translate the character within document and then utilize it for processing data or information. Organizations can use OCR to Fastrack data access and processing, from gathering to analyzing data.
For instance, let’s say the scanner identified the invoice total as $800, but in reality, it has to be $8000. A human might make mistake if they have to handle high volume invoices. But OCR with AI can identify the mistake automatically correct it in real-time without manual intervention.
OCR system works in three processes-
This step involves the processing of documents into images for analyzing data and light areas and categorizing them into separate elements.
Intelligent Character Recognition
The second step involves the identification of characters and converting them into ASCII code for further manipulations.
The final step includes the error correction by using Artificial intelligence. Also, artificial intelligence can be trained on the specific lexicon of words that will be found in the document.
However, using NLP, machine learning algorithm, and computer vision method offers an advanced version of OCR that is not limited to character recognition only. Using this combination of technology correct errors using probabilistic approaches and recognize patterns in training samples.
Regardless of industries, sensitive data is everywhere. Whether it’s a financial institution or IT organization, service desk agents have to go through legal documents for claims processing and others. Considering the time involved in extracting data for processing further operations, OCR is the savior. OCR limits the paperwork and extracts data from multiple systems with an easy view and sharing options. Also, OCR helps enterprises gain to create an in-house search engine to search information directly from the database.
Banking service desk agents often struggle with the humongous task of accessing data for loan processing, KYC, credit-debit card approval, money transfer, and others. Without OCR, manually verifying high volume data take a toll on employee productivity. Using OCR can benefit banking organizations by automatically reviewing the information and matching the details. In addition, combining AI with OCR reduces error, increases analyzing capability, enhances employee productivity altogether.
From processing invoices to inventory management, the retail service team is encumbered with the task of extracting data from multiple resources in multiple formats. Considering the manual intervention involved in extracting and analyzing data makes a perfect case for OCR. OCR technology can efficiently go through the keywords presented on the document, analyze them, and verify them without manual intervention. Also, retailers use serial numbers encoded with barcodes for their product descriptions. By using OCR, retailers can fast scan the barcode to get the serial number to track stock.
Having one’s entire medical history direct on the table is all a patient wants from the organization. Rather than maintaining past medical records, X-rays, and other reports, having a digital record system could be a great help. Using OCR, healthcare organizations can digitally store past medical reports, data, and prescriptions altogether in a unified place. Along with enhancing data accessibility, OCR also helps maintain healthcare legislation and compliance policy.
The benefits of OCR go beyond digitizing documents and scanning the information. Combined with Artificial Intelligence (AI) and other cognitive capabilities, OCR can get the best deal for your business, manage and audit the mismatch at a much faster pace than humans. Also, who doesn’t want easy and efficient data processing and access? So what are you waiting for? OCR is an opportunity to lead in the digital transformation era; embracing is all you need.
Author BioVatsal Ghiya is a serial entrepreneur with more than 20 years of experience in healthcare AI software and services. He is the CEO and co-founder of Linkedin: https://www.linkedin.com/in/vatsal-ghiya-4191855/, which enables the on-demand scaling of our platform, processes, and people for companies with the most demanding machine learning and artificial intelligence initiatives.
It can be a no-code development tool like ManyChat or an NLP-based development framework like Dialogflow.
A classifier is a feature to categorize users or user inputs into different groups.
This feature is also known as Split Traffic on some development platforms.
It’s an easy one!
It is like those mandatory fields we have to fill on the forms. Similarly, in chatbot also there could be some mandatory input that is needed to perform future processes.
A content block is a feature to create responses that contain content in the form of text, images, video, audio, buttons, quick replies, and more.
A conversation ender is a process to end the conversation.
It could be a message or set of messages that is used to conclude the conversation.
Conversation failure is a possible situation that can occur in a chatbot when the chatbot fails to respond to user input.
Conversation repair is a process to handle the situation of conversation failure.
The chatbot can be programmed to handle such situations by redirecting the users.
A conversation starter is a process to start a conversation.
It could be a greeting message or a set of different messages that are used to start the conversation.
Conversational AI uses the technologies like artificial intelligence (AI), machine learning (ML), and natural language understanding & processing (NLU&P) to build interactive applications like chatbots, virtual agents, and interactive games.
The conversational script is nothing but the dialogues which are the combination of words, sentences, images, GIFs, and many other things used to give direction to a conversation.
Conversational UI is an interface created for users to communicate with other users or computer technologies like chatbots.
A decision tree is the same as the conversational flow that shows how conversation happens based on the decisions made.
Default reply is an automatic reply triggered when the chatbot doesn’t understand and cannot reply to particular user input.
A conversational channel is a place where a chatbot is deployed after development.
It could be a website, app, or social messaging platforms like Facebook Messenger, WhatsApp, Instagram, Telegram, etc.
An entity is similar to a variable in a chatbot that is used to store and extract users’ input/data.
Entry points are nothing but a place from where users launched a chatbot and start interacting with it.
It could be a simple link, chat widget, or social messaging apps like Facebook Messenger, Instagram, etc.
Fallback is the same as the default reply that is triggered when the chatbot doesn’t recognize a user’s input.
Flows are the sequence of conversational steps in the chatbot.
Hybrid chat means a chatbot and human work together to make conversations more effective and smoother.
This kind of chatbot is called a human/agent assistant.
Integrations are the third-part apps that can be used in your chatbot to enhance its abilities.
The intent is a feature to define the motive behind a conversation and program a chatbot specific to that particular intent.
Keywords are the words that are used to trigger a particular action in a chatbot.
It is mostly used in AI-powered chatbots.
Live chat is a feature that pauses a chatbot for some time and lets you chat with users.
You can also program your chatbot to automatically transfer users to a live chat.
Machine Learning (ML)
Machine learning is a branch of AI that identifies patterns from past conversations and train a chatbot to improve its performance.
Natural Language Processing (NLP)
Natural language processing (NLP) is a branch of AI that enables chatbots to read, understand, and process human language.
Optional input is the same as those optional fields in the form that can be left blank.
A quick reply is a short message in a bubble-kind button that shows the possible options to users and allows them to make a decision quickly.
Re-engagement is a feature to re-engage with existing users by using organic as well as paid methods.
A rule-based chatbot is built with the pre-set rules, Natural Language Processing (NLP), and very little Machine Learning (ML).
It is precisely programmed using conditional loops to generate automated responses to users’ messages.
Sentiment analysis is a technique to measure the sentiment and tone of voice or text messages by using machine learning (ML) and natural language processing (NLP) models.
It is used to analyze the user’s attitude/mood during the conversation.
A sequence is nothing but a series of automated messages.
Templates are nothing but pre-designed chatbots/flows that can be used to fasten your chatbot development process.
A trigger causes a particular action in a chatbot to get executed.
Typing delay is a feature that enables you to set up the time delay between two responses to mimic the natural flow of the conversation.
Voicebot is a kind of chatbot that simulates the voice-based interactions between the human and a machine.
The best example of it would be Siri and Google Assistant.
Webhooks are the automated API responses that are used to retrieve information like emails, phone numbers, etc. from the conversation and send it to the web services like CRM, Google Sheets, or any other software.
A welcome message is the first message that your chatbot sends to a user to greet them.
So, we’ve just seen the list of 48 essential chatbot terminology that you should know and be familiar with.
Now, I want a little help from your side, by telling me the chatbot terminology that I have missed in this list to make this guide the ultimate resource of chatbot terminology.