Month: April 2022

The bad side of using AI as a content creator

Don’t get me wrong, using AI as a part of your content creation process can be very helpful, and it can help with providing value to your readers and viewers. However, if you use it carelessly, it can be harmful to your career as a content creator.

As the director of product management at Munch, I have access to a vast amount of data about content creation. I also took part in hundreds of interviews with content creators of all kinds. I noticed that many creators started using AI tools as a part of their creation process. I see great threats hiding in this trend.

They came for your “own voice”

In a way, using AI to create content is a deception on your followers and your most loyal audience. For some reason, readers and viewers decide to receive information from you, and not from another person. You are not the only person that is making videos or writing blog posts about a certain subject. And trust me, your information about NFT and web 3.0 (or any other hot topic you are talkingwriting about) is not that unique.

“You might say that your scent, taste, and feel are embedded in the content you create, whether you are aware of that or not…”

Yet, with each word you write or each sentence you say, you provide the audience with a part of yourself. I call it the “own voice” element. You use your words, your way of saying things, your little jokes, and your point of view. You might say that your scent, taste, and feel are embedded in the content you create, whether you are aware of that or not. That is the “why” for choosing you over another content creator that is talking about the exact same thing. For that reason, posting AI-created may be interpreted as a breach of authenticity that might lead to the abandonment of your viewers and readers.

Creation vs. Repurposing

It is crucial to fully understand the distinction between content creation and content repurposing to see the danger in using AI for content creation.

Content creation

A term that means to make something out of nothing. It involves finding a topic to focus on for that specific creation, planning it, producing it, and at the very end of the creation process you get a content piece — A “PILLAR PIECE”. Generally speaking, Pillar pieces are created for a specific crowd and a specific distribution platform. For example, you are making an explainer video about Etherium for unprofessional crypto traders and intend to post it on Youtube. Using other sources for data or inspiration is perfectly fine, but it must be created with originality to be called content creation.

The new wave of AI-powered copywriting and AI video generating tools is highly appealing to creators. We’ve all experienced the “blank page” sensation and the frustration it causes, so it’s terrific to have something to help us get started. You must be thrilled about using a machine to do your work and make article publishing a breeze. You might be tempted to type a sentence into an AI copywriter and have it generate a complete piece for you. Well, I say, don’t do it! You can lose your audience as a result.

Content repurposing

This term refers to the process of leveraging the pillar piece you created. The goals could be approaching different crowds, gaining followers on more platforms, or increasing traffic to the pillar piece’s web page. Repurposing content may involve editing a pillar piece to make it longer or shorter, converting its format from video to text, adjusting it to fit more distribution platforms, creating snippets from it, or gathering many pillar pieces to create a newsletter.

In contrast to content creation, there seems to be no danger in using AI for content repurposing if done correctly. The key thing to remember is to keep the content authentic and to reflect the creator’s own voice. Among many other uses, you can use AI to turn a video into a blog post or a blog post into social media posts.

To conclude

AI has the potential to be a blessing to content creators. It can assist you in overcoming a variety of obstacles and barriers. You can use it to reach out to new viewers or readers. But keep in mind that your audience isn’t just looking for information; they’re also picking the vessel through which they’ll get it. Using AI to completely create content for you, or instead of you, can be pretty harmful. Your relationship with them may eventually fall apart because no one wants to be deceived.

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AI is dangerous for content creators was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Who doesn’t want to have more time and work less? If you’re going to live a whole life and find time not only for work but also for recreation, hobbies, and travel, you are interested in the basics of time management. So have I.

Why build time management?

Everyone has a different purpose for organizing processes in time. In general, it is necessary to choose a convenient method of time management to

• effectively allocate time for personal and work, for self-education and hobbies, for family and friends,
• separate important tasks from secondary ones,
• to think about your life goals and set priorities,
• to take time and learn to plan the day, week, month, or year,
• not procrastinate,
• motivate yourself and achieve your goals.

What are the methods of time management?

There are many methods of time management. They help me manage time better distribute it between important and unimportant tasks.

I tried different techniques until I came up with my system and picked up the tools to fit it. So please familiarize yourself with other methods, but take the best of them for yourself.

Where do I start?

The method of “90/30”

It was invented by Tony Schwartz, the founder of The Energy Project.

The bottom line: work for 90 minutes, then 30 minutes to rest. Each complete cycle takes two hours. The first cycles should be set aside for the most critical and urgent matters, the next — for more straightforward or less complex tasks.

You can try changing the time interval: 52 minutes for work and 17 for rest.

Where to read more: The 90/30, 8/10 Rule.

The Kanban Method

This is a Japanese scheme with which you can visualize the work process. It was used at Toyota.

The idea is to draw a table with three columns: “To be done”, “In progress”, “Done”. All the planned activities are entered into the table, and during the day, crossed out of one column and transferred to the next. A plus of the method is visibility.

Where to learn more: Kanban books, KanbanFlow app

Time Block Method

If you like to make a list of tasks for the day but still don’t have time to do what you planned, try this method.

Bottom line: you don’t just need to write a to-do list, but allocate time in advance to complete them. And then strictly follow the plan.

An example of a list:

10:00–10:30. Brainstorm with the team

10:50–12:30. Creation of presentation

13:00–14:00. Lunch

14:30–15:30. Gathering project analytics.

How is it different from a daily schedule? In that, you only set aside time for the tasks planned for the day. The rest is free.

Where to read more about the method: 11 Time Blocking Tips to Improve Your Focus.

Top 5 tools for time management and productivity

When I tried different time management methods, I singled out the following tools for me:

Sunsumma for time planning

The app summarises how much time it will take to complete tasks for the day and moves them to the next if the time limit is exceeded. Conveniently, there is integration with the calendar.

Todoist Reminder on Mac for small tasks

I use it as a reminder system for small and minor tasks so that I always have them in front of me.

The thing is, according to a study of scientists from Harvard University, a person can keep no more than seven tasks in his head at a time. And I’d rather concentrate on something more important than on the small routine tasks (call a colleague, answer a message, translate a document, etc.). By the way, if a task takes less than 2 minutes, I try to get it done right away, rather than entering it into Todoist.

Grammarly for Literacy

The service helps minimize the time I spend editing emails, messages, and posts.

Notion for organizing your life and creating a personal knowledge base

This service for creating notes and documents, to-do lists, databases, tables, knowledge bases deserves a separate post. For now, I’ll just focus on the fact that it helps me organize my life. I also actively use it to collect knowledge and information for projects, travel, etc.

Superhuman for correspondence

My favourite email service works under the “100 milliseconds” rule. It allows me to process all incoming emails very quickly. I’m also impressed with the clever hotkey email management system.

You can follow me here

Dribbble | Twitter | Instagram

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How is my time management organized? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Slack has a treasure of bots and apps, and integrations, that can be used to make daily efforts in the workplace easier.

Here are some essential Slack apps that you should install right now. We believe these apps will help you and your teams.

1. Google Drive

Use Google Drive within Slack to create new Google Docs, Slides, Sheets files, import an existing file from Google Drive into a channel or direct message and search directly within Google Drive files shared within Slack.

2. Google Hangouts

Google Hangouts lets you communicate with your team via instant messaging, voice calls, and video calls. This integration allows you to easily start a Hangout with the members of a channel. To start a Hangout, enter /hangout in any channel.

3. Asana

Asana is the easiest way for teams to coordinate and manage their work. With Asana for Slack, you can turn your conversations into action and create new tasks in Asana — all without leaving Slack.

4. Mailchimp

Mailchimp and Slack integration will allow you to receive updates when people subscribe and unsubscribe from your audience and see the sent status of a campaign.

5. Google Calendar

From automatically updating your Slack status to getting up-to-the-minute reminders, keep your calendar top of mind without leaving Slack. Respond to invites, get a heads up before meetings start, and automatically set your status to show when you’re busy.

6. Trello

Link your Trello and Slack teams to harness the power of productivity with the Trello app for Slack, and create a seamless and collaborative workflow between your favorite apps. Add new Trello cards to boards directly from Slack without needing to hop through the app-switching hoop.

7. Slack for Gmail

Send emails into Slack to discuss them with your teammates. The Slack Add-On for Gmail helps you move conversations along by bringing context from an email into a Slack channel or direct message. You can add a message and include attachments along with the email as well.

8. Zoom

Start Zoom Meetings and make Zoom Phone calls with flawless video, crystal clear audio, and instant screen sharing from any Slack channel, private group, or direct message using the /zoom slash command. You can also play virtual games with your team over Zoom.

9. Google Analytics Insights

Customizable reports with your key data. Realtime alerting when your data changes. All in Slack. This app helps you to get sent your key metrics in daily & weekly reports so you can see how your sites are performing at a glance.

10. Canva

Instantly publish your designs to Slack and collaborate with your team real-time to increase productivity. Canva integrates with Slack so you can automatically send designs directly to your Slack channel(s).

11. Hubspot for Slack

With live chat, team email, and an easy-to-use chatbot builder, HubSpot gives you the messaging tools and context to have personalized conversations with prospects and customers at scale.

12. Dropbox

Connect to the Dropbox and Slack integration and begin to — Share Dropbox content to Slack channels or indirect messages, right from Dropbox, and see your Dropbox file previews right within your Slack conversations.

13. GitHub

Bring your code to the conversations you care about with the GitHub and Slack apps. With two of your most important workspaces connected, you’ll get updates about what’s happening on GitHub — without leaving Slack.

Use /github subscribe [owner/repo] in Slack to start receiving updates about that project.

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13 Essential Slack Apps and Bots That You Should Install was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Facial Recognition In Retail — Digital Innovation — Tech Journal

The covid-19 implications coupled with customer expectations have raised the need to go digital. As a result, retail stores have become experience centers than just store outlets in the digital transformation era. To provide an engaging customer experience and boost the marketing strategy, facial recognition has brought a whole new level of advancement in AI technologies.

The Allied Market Research Report states that the “facial recognition market will reach $16.74 billion by 2030.”

And don’t you find it fascinating if shoppers pay the bill at check-out by just representing a face, not any card or wallet? Facial recognition allows retailers to analyze shoppers’ moods and preferences based on their past purchases. Want To keep pace with digital transformation, then it’s the right time to rethink technology adoption? Let’s dig into this blog and learn how facial recognition helps retail boost sales like never before.

How Does Facial Recognition Dataset Helps Retail Industry?

From attracting customers to boosting revenue, in-store retail faces a more significant challenge. Something all customers are looking for is a convenient shopping experience. And in order to accomplish the same, retail stores must have access to datasets that they can’t get from the basic information of customer accounts. Facial recognition is the missing link between retail and greater customer experience. Leveraging facial recognition enables the retail industry to open new avenues in digital transformation.

Let’s look into how facial recognition helps the retail industry impact customer experience.

1. Self-Checkout With Facial Recognition

American express global customer support study stated that “Around 30% of customers said they consider switching companies after a single instance of poor service. Unfortunately, multiple payment methods such as cash, cards, and digital wallet require multiple POS terminal setups and higher manual intervention. At this juncture, facial recognition services are a convenient and faster solution to eliminate the limitations.

Facial recognition services enable shoppers in the retail industry to quickly pay for their shopping by presenting their faces on tablet-like devices and kiosks. Facial recognition fast-tracks the payment checkout in a three-step process-

• Scan the face on the digital tablet or at kiosks after verifying the purchase item list
• Identify the looks from the user database by using AI and Machine Learning (ML)
• Authentication of the face and generating payment and user details to approve

2. Provide Tailored Customer Assistance In-Store

As per a customer survey, 91% of unhappy customers who are non-complainers simply leave. Facial recognition enables the retail industry to obtain far more information than the basic one. For instance, facial recognition can record users’ emotional qualities like how long they explored a specific product or how long a user explored the particular shop in their retail store. Using sentimental analysis can also track whether the user is pleased, dissatisfied, or confused and determine their satisfaction during checkout. This deep learning mechanism helps retailers employ the data to improve store displays and promotions and identify flaws that disappoint users.

3. Personalized Customer Service

To offer a personalized customer experience, you must have the data to identify shoppers based on their demographics and choices. Facial recognition plays a crucial role in identifying shoppers’ information such as gender, age, location, etc. With Machine Learning (ML) capabilities, facial recognition enables retailers to offer various digital recommendations based on past purchases. That’s how retailers can easily send push notifications directly to customers with their preferred choices.

4. Theft And Shoplifting Prevention

Using facial recognition is an excellent way for the retail industry to discover shoplifters from the stores in real-time. It identifies the previous offender and matches it with the database to notify the security team. Facial recognition dataset-

• Capture the facial image and extract features
• Extract features, convert image into grayscale, and crop face
• Convert the photo into a template and search in the database
• Compare the template database and notify fraud

5. Workforce Productivity

Having facial recognition in retail is a helping hand to employees as well. With facial recognition services, the retail industry keeps a track record of employee working hours, provides security and data access during working and checkout hours, and restricts unauthenticated access in the store. In addition, facial recognition enables employees to monitor real-time interactions and record conversations to improve the business process.

How Does Data Collection Enterprise Help Build Facial Recognition Model?

Data collection is the foundation stone for building a facial recognition model. Since facial biometrics is different from person to person, the facial recognition dataset must be adaptable to reading, identifying, and recognizing every face. And to make this data collection enterprise can be a great help. Data collection enterprises help the retail industry by collecting photos of several people from various parts of the world and assisting in creating a heterogeneous database of their own. With a database in hand, the retail industry can identify and authenticate faces amidst a large crowd present in front of them.

Final Thoughts

Shopping with augmented reality to provide virtual chats, the retail industry has been adaptable to innovative technologies in the past. And facial recognition is a revolutionary step in maintaining an edge over competitors and creating a benchmark in their business process. With an extensive collection of facial recognition datasets and optimized AI models, retailers can revolutionize and standardize customer self-service throughout the organization.

Author Bio

Vatsal 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 Shaip, which enables the on-demand scaling of our platform, processes, and people for companies with the most demanding machine learning and artificial intelligence initiatives.

Originally published at https://techjournal.org on April 1, 2022.

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Facial Recognition In Retail — Digital Innovation — Tech Journal was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Chatbots are not just the helpdesk assistants of the future, they are the helpdesks of the future.

There, we said it.

As a company that makes chatbots and has access to a tonne of data that repeatedly shows how chatbots are more effective than your typical customer service agent, we at Kommunicate believe that there will be only one channel of communication between you and your customers in the future — chatbots.

1.4 billion people on the planet currently use chatbots on a regular basis, according to this report by Acquire. That’s close to twice the population of Europe.

As more and more millennials become paying customers who prefer to talk to a computer rather than a real human being, adding a chatbot to your website is not just common sense, it is a matter of survival.

But what if you already have a chatbot involved, which is taking care of all those customer conversations, doing a bit of lead generation for you, handling customer support, and even helping out the sales team. You must have got it all figured out and would now just have to sit back, sip iced tea (or coffee, if you prefer) and watch your business grow, right?

Wrong.

Chatbot analytics is as important as adding a chatbot to your website. Having a feedback loop helps you find areas of improvement for your chatbot, which can only lead to greater business.

In this blog post, we are going to examine:

1. Why it’s important to measure chatbot performance
2. Top metrics you should monitor
3. Additional resources to learn more about chatbot metrics

Why it’s important to measure chatbot performance

1. Focus on the right metrics: Implementing chatbots to your website is just step 1 of ensuring that none of your customers falls through the cracks. Many times, businesses do not get the desired results from chatbots because they have been optimised for the wrong metrics. Measuring chatbot analytics helps us to track the most important KPIs and make decisions that are data-driven.
2. Gauging how effective is your chatbot: If you have the right performance indicators in place, you can measure how effective it is to have a chatbot on your website. Answering a few basic questions like, “How helpful are chatbots in solving my customer queries?” or “ Are the chatbots directing my customers to drive profitable actions?” will go a long way in gauging the effectiveness of your chatbot.
3. Understanding customer journey: To be data-driven, you need to visualise certain aspects of your customer journey on your website, such as user paths, exit points etc. A good chatbot solution comes bundled with a chatbot analytics dashboard that helps you map all these details, helping you understand the customer journey that much better.
4. Measure ROI on business: Chatbots have a real impact on business, and chatbot analytics provides information such as the total number of leads generated, total tickets resolved, average time spent per conversation etc. With these metrics in hand, you can take calculated business decisions such as how much additional investment is required on your website and in which areas.

Top Metrics to Measure Chatbot performance

We have classified the metrics that you need to track into 4 broad categories, and are listing them out here in the order of least important to most. Here are the top 10 metrics, in our view, which you need to keep track of to measure how effective your chatbot is.

1. Goal Completion Rate
2. Conversation Starter Messages
3. CSAT Scores
4. Bot intent analytics
5. Bot Messages
6. New Users
7. Total Users
8. Active Users
9. Engaged Users
10. Bounce Rate
11. Fallback Rate
12. Conversation Duration
13. Goal Completion Rate: GCR is on the top of our list because it successfully measures how effective your chatbot actually is, by capturing the percentage of user interactions that have been successful over the chatbot. Your bot essentially exists to answer a customer query, and this metric tells you how effectively your bot processes input and gives a response that answers that customer query satisfactorily. GCR is dependent on how good your Natural Language Processing and Artificial Intelligence Capabilities are.
14. Conversation Starter Messages: Interactions between the bot and the customer is a two-way street, and the number of times the bot initiates the conversation forms the basis for this next metric. Companies need to initiate conversations with customers so that they stay on the website longer, so in a way, conversation starter messages help measure the organic reach of your platform. Be careful to not sound too pushy in your conversation starter messages though, they may scare away your potential customers. Sound natural, and be warm.
15. CSAT scores: Customer satisfaction scores are an important metric to measure since all businesses want happy customers who will keep coming back. To measure customer satisfaction with your chatbot, all you have to do is ask the customer to leave a “like” or a “thumbs down”, or leave a score out of 10, as we do here at Kommunicate.

As you can see, Kommunicate’s chatbot “Eve” is right there at the top with the human agents when it comes to CSAT scores, meaning the bot is effective and people actually like interacting with it. But since the agents still beat Eve to the top position, there is a lot of scope for improvement. Another way of measuring the effectiveness of your chatbot is by measuring the CSAT scores before and after the bot was introduced onto your website. If the CSAT scores show a dip, it means that probably the chatbot was not as effective as you wanted it to be and you might want to reconsider having one on your website.

4. Bot Intent Analytics: Bot Intent Analytics helps your developers assess how their messages are mapped to specific intent categories. It is a measure of how “smart” your bot currently is and how it can be improved.

As you can see, the Welcome intent was triggered the maximum number of times, which means most of the visitors to your chatbot started their question with a “Hi” or “Hello” and the bot responded accordingly.

5. Bot Messages: The total number of messages sent by the bot during the course of a conversation forms the basis of this next metric. This metric measures the length of the conversation between the customer and the bot, and we generally want this number to be high. An important caveat to note, we don’t want this metric to be high for the wrong reasons, like, for instance, if the bot gives the same answer over and over again to a query it doesn’t understand.

6. New Users: This is an important metric to measure, especially if you have just deployed a chatbot onto your website. The number of new users that your chatbot has helps you gauge how popular your chatbot really is, which will then drive your business decisions on making the chatbot handle more things. As with any new fancy technological advancement, customers’ interest is bound to decrease over time in your chatbot, and if you are able to attract a good pool of new users to your chatbot, you can keep the momentum going.

7. Total Users: As the name suggests, this metric tells you the total number of users who are interacting with your chatbot. This is an important metric to track since it allows you to measure the impact of your chatbot and its overall success. The total users also give an indication of the amount of data that the chatbot is exposed to, and you can use this information to calculate the market size.

8. Active Users: Active users are those who have read the messages from your chatbot in a given time frame. This is an important metric to track because, given the number of your active users, you can easily get an idea of how many potential customers you have for your product or service. This in turn lets you measure the effectiveness of your marketing efforts, and you can now invest resources where they are actually required. Note that with Active users, Engagement is not guaranteed, and the metric only shows how many people have seen the content on your chatbot.

9. Engaged Users: Unlike Active USers, Engaged users measures how many people actually send back messages to the chatbot, once your bot has initiated the conversation. This is an important metric to track, since it can give you access to conversation statistics, telling you exactly how effective your chatbot is. If you have set up a chatbot to answer FAQs or simple billing questions, you want this number to be higher.

10. Bounce Rate: This is an important metric to track, not just to measure the effectiveness of your chatbot, but to measure how well your website is performing as a whole. The bounce rate represents how many people are visiting your website, and leaving without interacting with your chatbot. We want to keep this number as low as possible since there is no point in making your bot smart and able to answer all those complicated queries if no one is interacting with it. There are a wide variety of reasons why bounce rates are high, including poor UX, website design, longer loading times etc.

11. Fallback rate: A FallBack response is one in which the bot does not understand the query from a user and gives a canned response that has been set by the bot designer. The rate of occurrence of this Fallback response is called the Fallback Rate and to effectively design a chatbot, you should know the user messages that trigger these fallbacks. If the chatbot is placed wrongly, then the FBR is bound to go up, or it could also be a fault in the NLP engine if the bot is not able to understand what the user is looking for.

12. Conversation Duration: The last factor on our list is a bit tricky to quantify since there are 2 sides to this coin. The conversation duration between your chatbot and the user needs to be just right, neither too long nor too short. If the conversation duration is too long, it means the user is having a tough time finding what they are looking for, and will most likely navigate away from the website. If the conversation duration is too short, it means the bot has effectively failed to engage the user, and they have moved out of the website without staying too long. Either way, it is very important that you keep a close eye on the conversation duration since it will help you make subtle changes to your chatbot design and keep your customers engaged on your website.

Parting words:

Having close to half a decade’s worth of experience building chatbots, we at Kommunicate have access to chatbot data that is sure to make the analyst in your team go “Ooohhh.”.

Originally published at https://www.kommunicate.io on April 3, 2022.

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12 Metrics For Chatbot Analytics You Must Track in 2022 was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

We will be going live on April 12th at 9:00 AM!

Join is un ZOOM and in the Metaverse.

Discover how top industry leaders are using Conversational AI in their companies and in the Metaverse.

Register: https://www.eventbrite.com/e/chatbot-conversational-ai-conference-in-the-metaverse-tickets-34839694464

3 Day Agenda

• April 12th | Day 1: Learn
• April 13th | Day 2: Design
• April 14th | Day 3: Build

By the end of the Chatbot Conference, you will know what use cases are best for Conversational AI, what tools and resources you need to organize your project, how to design a Conversation Agent, and how to develop one.

By the end of the Conference, you will have an MVP Bot that can take orders, and answer questions and which you can share with your team or implement in your business.

See you in the Metaverse!

Cheers.

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Chatbot Conference is Coming to the Metaverse in 24hrs! was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Educational Technology, or EdTech for short, remains the most indispensable resource for schools as tech is increasingly more prominent in and outside of the classroom.

In the last two years, many students and educators depended on EdTech to facilitate remote learning, and schools are investing in online resources to ensure its systems can support remote learning needs.

Previously, we’ve explored what you need to consider when planning for new educational technology in your school.

This article uncovers what you need to consider when narrowing down your selection and vetting the EdTech tool that can complement your existing systems.

We only have 10 Tickets

Great news!

Chatbots Life was able to secure 10 Tickets for the Chatbot Conference in the Metaverse for next week’s Conference!

The Chatbot Conference explores how larger Enterprises are using Conversational AI, Bots, and Digital Assistants in their businesses and how Brands are starting to use Conversational AI in the Metaverse!

This promises to be one of our most exciting events, and they are featuring speakers from Google, Salesforce, Microsoft, Charisma, CDI, and more.

Chatbot Conference in the Metaverse

Dates: April 12–14, 2022 | 9 am — 5 pm Pacific Time

Location: Zoom Events & Metaverse in Decentraland

Get your Tickets Here: www.eventbrite.com/e/34839694464/?discount=CBL

35 % Discount Code: CBL

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Flash Sale Ending: Save 35% on Chatbot Conference was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Join us in the Metaverse!

In this year’s Chatbot Conference, we will explore the latest on Conversational AI, Voice, and Chatbots/Digital Assistants with a strong focus on both how Enterprises are using this technology and how it’s becoming implemented in the Metaverse.

The theme and trend we are seeing is that Conversational AI is expanding from Enterprise Technology to the creative

This promises to be one of our most exciting events, and we are featuring speakers from Google, Salesforce, Microsoft, Charisma, CDI, and more.

Topics

We are going to be exploring the most pressing topics in the Conversational AI Industry:

• Big Picture: Discover how Enterprises are using Bots to increase revenue and decrease costs.
• Deep Dives: We will do deep dives into the top use cases such as AI for Customers Service, HR, Conversational RPAs, Voice, and More.
• Execution: Focus on Conversational Design and NLP/NLU
• Metaverse & Meta Humans: We will explore how Hollywood is using Metahumans to tell stories in the Metaverse.

Meet Digital Humans

One of our core topics we will explore is how Brands are starting to use Digital Humans to create experiences in the Metaverse. Imagine that you are watching a great TV Show, like ‘The Game of Thrones’. Soon, you’ll be able to go to The Game Thrones Metaverse, interact with the characters, and open up new stories and plot lines that the TV show can’t cover in a 10hr season!

Charisma AI is working on exactly this type of use case and has recently created Beowolf. To accomplish this, they are using Unreal Engine/Unity alongside NLU and dynamic storytelling with feedback.

Simply, your favorite characters are coming to the Metaverse and soon, you’ll be able to hang out with them, discover more about their story and go on missions.

Certified Workshop in Conversational UX & AI Development

Want to get involved in the exciting world of Conversational AI?

We have Certified Workshops in Conversational AI and NLU Development. By the end of the workshops, you will know what use cases to build, how to design a conversational agent, and how to develop a Conversational Agent that can take orders, answer questions and fulfill tasks.

Join us on ZOOM & Decentraland

Chatbot Conference starts on Tuesday, April 12 from 9 am to 5 pm Pacific Time. You can attend via Zoom Event and/or in the Metaverse in Decentraland. On April 13, we are hosting our Full-Day Certified Conversational UX Workshop and on April 14, we turn your designs into a conversational bot in our Certified Full Day NLU Workshop.

Register below, and see you in the Metaverse!

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Chatbot Conference is coming to the Metaverse in 5 Days! was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.