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Slack is one of the best tools to communicate and organize your team and projects all in one place.

Instead of you searching through Slack’s app directory and experimenting with bot after bot, we’ve done the hard work for you.

We’ve listed 11 of the best Slack apps to boost productivity for your team.

1. Google Calendar

Automatically sync your Google Calendar to your Slack status to let your team know when you are in a meeting. From viewing your daily schedule or receiving up-to-the-minute reminders, keep your calendar top of mind without leaving Slack. It allows you to keep your events and tasks organized.

2. Trivia

Trivia is the new way to connect with your remote team while playing exciting quizzes and games on Slack, Microsoft Teams, and Google Chat! Give your team a quick 5-minute break, bond over fun and social games, and get to know each other every time you play it.

3. Arc

Arc helps teams stay on top of Google Analytics. Arc explains your analytics with short, easy to read messages that everyone understands. This keeps your team informed and enables everyone to make better customer decisions.

4. Teamline

Does it feel like your work is out of control? Teamline eliminates the need for clunky, time-consuming project management software. It gives everybody in your Slack team a complete view of tasks assigned to them, across many projects. You can track and assign tasks, directly from Slack.

5. Dropbox

You can share your Dropbox content to Slack channels or in direct messages, right from Dropbox. See your Dropbox file previews right within your Slack conversations.

Trending Bot Articles:

1. How Conversational AI can Automate Customer Service

2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

3. Chatbots As Medical Assistants In COVID-19 Pandemic

4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

6. Kyber

Kyber is the only all-in-one app you need to perfectly coordinate your teamwork and automate your workflows without leaving Slack. Within this Slack app, you can create and assign tasks, project task lists, and even schedule meetings.

7. Doodle Bot

Forget about juggling between calendars and chat services, jumping between tabs or resending invites — use Doodle Bot to create and manage meetings where you work. Type /doodle list to see all your meetings and participant replies.

8. Evernote

Take notes on the fly, clip your Slack conversations into Evernote, or find and share your notes in Slack channels. Now, you can bring all of your content together and keep the whole team focused.

9. Any.do

Any.do Slack bot helps you manage your daily tasks in a conversational manner. You don’t need to write any command. Just type in a question you have like “What are my tasks?” and this bot will guide you to make sure you’re on track with work.

11. Quip

Add collaborative documents, spreadsheets, and checklists to Slack with Quip, the leading team productivity suite. Spark ideas in Slack and give them structure in Quip where you can organize, discuss, and evolve your team’s most important work.

11. ClickUp

ClickUp is a beautiful productivity platform that allows you to get more done in your work and personal lives. Create tasks and comments from messages! Click the “more actions” option besides a message to select the ClickUp Assistant options.

Do you have any other bots to add to this list? Please drop here.

Don’t forget to give us your 👏 !

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11 Productivity Slack Bots That You Should Add to Your Workspace was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Conversational AI — Why, How, What, and Where.

Conversational Artificial Intelligence ( AI) is the process that utilizes Machine Learning to interact with customers in a way that feels organic and customized. The following sections inform you about conversational AI, its functionality, ways to implement it, and where to find it. In short, it discusses the four key W’s of Conversational AI — Why, How, What, and Where. Explore this article to seek answers to all your queries and gain a perspective about the fundamentals of Conversational AI.

Introduction

Conversational AI (Artificial Intelligence) has revolutionized the customer service landscape. Chatbots and virtual agents are examples of conversational AI that has completely changed the customer service experience.

Conversational AI congregates three individual technologies — a voice recognition process, a messaging application, and artificial intelligence.

Voice recognition with AI has made an enormous impact on technology. A software feature that can carry out human-like discussion is called a “bot,” also commonly known as “chatbot.”

Products like Google Home and Amazon Alexa that provide a virtual assistant experience are examples of conversational AI.

Why do Businesses Need Conversational AI More Than Before?

Conversational AI can have extensive use in your business. Lead generation, demand generation, issue-resolving process, and customer care services all can be managed with the help of conversational AI. This technology can also facilitate your sales team to increase revenue, bringing in the power of conversational marketing.

Listed below are few examples of how conversational AI can fuel your business in the contemporary world:

Customer Care Service

Customers can interact with your company regarding any issue with the help of this technology. Chatbots and voice bots have become an integral part of the customer engagement drive. Machine learning (ML) and AI can understand and analyze human speech, emotions, and language. It will enhance your customer service experience. The technology can scale the customer requirement and bring in meaningful, matured, and seamless human interaction.

Fueling Sales and Marketing Processes

With an increase in competition and customer demand, fulfilling the customer needs gets challenging. Here AI comes in handy, as it can help you manage customer demands, generate leads, convert those leads to potential clients, and boost the sales targets. AI will help you understand the customer profile and their preferences as it can gaze through the social media profiles of your clients.

Trending Bot Articles:

1. How Conversational AI can Automate Customer Service

2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

3. Chatbots As Medical Assistants In COVID-19 Pandemic

4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

Enhancing the Decision-Making Procedure

The human mind is prone to fatigue with overloaded work pressure, and it can lead to errors. Machines, unlike humans, can do repetitive work with higher speed and accuracy. AI can make a better decision because they analyze a problem to its core. It can provide a better insight that may not be possible to the human brain, and therefore it enhances the decision-making process.

Quick Response Time

Customers lack patience in today’s time, and managing grievances storming in from various profiles, social media platforms, websites, and phone calls can be tedious at times. Conversational AI-based tools like chatbots can manage all of them and ensure they get a quick and effective response. It can effectively handle a large number of issue tickets from customers.

Customized Customer Experience

Every customer is different in nature and expects personalized treatment. They can have unique problems, and not all customers can be dealt with in the same manner. Conversational AI can identify each individual based on their profiles, likes, dislikes, and preferences. They can be dealt with in a way best suited to them, and hence, it creates a personalized customer experience.

Fuelling High Revenue Gain

The ultimate aim of any business is to gain revenue, and hence, conversational AI can be of great use. It eases human involvement in the customer service process, thereby reducing the overhead charges. It can also serve a great deal in advertising your product, so it reduces your marketing expenses as well. A happy and loyal customer will ensure your revenue growth graph is always towards the sky.

How are Businesses Implementing Conversational AI in Their Organizations?

Here are few tips to understand how you can implement Conversational AI in your business entity.

Develop a Strategy

Develop a strategy that incorporates the following parameters:

• Understanding customer profiles so that the AI can appeal to them.
• Map your customer journey from the lead generation process to the onboarding process.
• Initially, keep the scope of AI utilization limited and increase the scope gradually.
• Understand your goals and the things you want from conversational AI.
• Analyze how this implementation will impact your organization’s environment.
• Gather information and data about the system you want to implement.

Choose the Optimum Technology

Before implementing the conversational AI process, understand which technology will gain you the most benefit. Choose a solution provider that uses the following tools:

• Artificial Intelligence or AI
• Machine Learning or ML
• Natural Language Processing or NLP
• Live chat feature
• Sentiment analysis feature
• Analytics dash-board feature

Conversation Web Design

A poorly designed conversational AI tool can lead to disappointment in the customer service arena. Keep in mind that your chatbot for small or big businesses should function without any failure. Some solution providers will only sell you the platform, and you will have to design the conversation process, while others will sell you a well-designed conversational AI tool. You need to ensure the following parameters:

• The tool is in line with your business model, goal, and brand value.
• Your customers are happy with the tool.
• Seamless functioning of chatbots
• Genuine use of pictures
• Effective flow of conversation
• Ensure you are comfortable and satisfied before you implement the AI tool.

Seamless Integration Process

You must ensure that there is a frictionless and easy integration of conversational AI tools into your system. Here is a list of integrations you ought to have with your provider:

• Your company website
• CRM feature
• Calendar
• Payment systems
• Email and messaging applications

In a nutshell, draft a strategy about what you intend to achieve through conversational AI. Understand what your customers will gain through this and how this will impact your business environment. After doing all of these, you will be in a position to implement conversational AI in your business.

Understanding the Fundamentals of Conversational AI

The following sections help you gain insight into the concept of conversational AI and how it works:

What is Conversational AI?

Conversational AI refers to a collection of technologies that facilitates computers to understand, process, and react to voice or text inputs in accepted and natural ways and is ideally used in combination with bots or Intelligent Virtual Agents (IVAs).

It helps people interact with complex systems in more straightforward and quicker ways if it is done correctly. It also helps business entities offer personalized customer engagement and support.

In today’s world, every brand from various sectors is looking to develop conversational AI-driven solutions within their business organization. Conversational AI has a bright future in the field of home automation, automobile, advertising, and e-learning industries.

What are the Different Components of Conversational AI and Their Importance?

For a conversational AI to happen, it needs many backend algorithms and workflows. Machine Learning and Natural Language Processing are two significant components.

Machine Learning or ML

Machine Learning is a collection of computer programs, algorithms, data sets, and coding features that perpetually improve themselves with everyday experience. As the input grows, the AI platform machine gets enhanced at identifying patterns and workflow to make better forecasts for the future.

Natural Language Processing or NLP

NLP is the technology that helps computers gauge the logic of human language and speech. NLP facilitates computers to perform repetitive tasks efficiently without any human interference. It combines the power of computer technology and human language to build an intelligent interactive platform to comprehend human inputs through texts and speeches.

NLP works in four major steps:

1.Generating an input

1. Analysis of the input
2. Managing responses
3. Refining and fine-tuning responses over time

Where is Conversational AI Used? What Are Some Popular Real Case Scenarios?

Conversational AI is used everywhere where information is needed at a faster rate. It can also be used in places where high volumes of repetitive tasks are managed.

AI-powered online chatbots are the most popular form of conversational AI, but there are also other use cases. Some of the examples are listed below:

E-Commerce Applications

Conversation AI has wide use in the field of E-commerce. It is kind of a virtual shopkeeper helping potential customers find their perfect product. The e-commerce platforms help the buyer by asking them questions like, what are you looking for, which brand of goods you prefer, your budget, preferable color, etc. These are examples of conversational AI, which takes the customer buying experience to the next level.

A classic example is Aveda, a popular botanical skincare brand that leveraged conversational AI to streamline its online booking system. Aveda created an AI chatbot for Facebook Messenger, the Aveda chatbot, with the advanced NLP (Natural Language Processing) engine. Within seven weeks of the launch of this chatbot for business, Aveda witnessed 6,918 additional bookings and a 33.2% enhancement in the booking conversion rate.

You can find voice-to-text features available with various online shopping platforms, and it is also a classic example of conversation AI. The overall buying experience involves searching, selecting, buying, and paying for the item. All of this can be AI-driven.

Online Customer Support

Online chatbots are now taking over human agents in the field of customer support systems. The features like Frequently Asked Questions (FAQs), How may I assist you?, Virtual chat boxes, and messengers, are examples of conversational AI. Customer feedback responses, ticket-raising process, and complaint registration are all AI-driven nowadays.

The entrepreneurial event organizing company Slush deployed a chatbot for business for handling customer queries. They observed that this new intervention has effectively handled over 60% of all customer inquiries. Since the AI chatbot was available 24×7, it solved customer queries in an instant. Consequently, Slush witnessed a 55% jump in the conversion rate.

An example of this use case is Slush, an event organizer that conducts entrepreneurial events worldwide. The chatbot for business on Slush’s website handled a significant 64% of all consumer inquiries efficiently, owing to the 24/7 availability of the AI chatbot on Slush’s website. Slush saw a sharp rise of 55% in conversations with the company than the past year.

Human Resources Activities

Many procedures like onboarding, candidate KYC verifications, and employee training can be done with the help of conversational AI-driven tools. Few companies screen candidates by taking an online test, which conversational AI can extensively manage.

Conversational Marketing

AI chatbots on websites guide a potential customer in an enhanced way and in real-time. After they go to the website, these chatbots ask them a few questions and answer them as well to make their job easier.

These chatbots can do all the following activities without any human intervention:

• Answer in real-time
• Answer a wide range of questions
• Generate genuine leads and eliminate unnecessary leads
• Schedule meetings for further sales processes.

Internet of Things (IoT) Devices

These are prevalent devices nowadays in every household. Devices like Google Home, Amazon Alexa, Siri, and Cortona, can recognize your voice commands and perform errands for you. Making a call, booking reservations, controlling your electrical gadgets, and managing your professional work can all be done with the help of these conversational AI devices.

Software Program Application

Mail assistance, auto-correct, auto-complete search on search bars are few examples of use cases in computer software. Many tasks in your personal life and professional life can be performed with these tools.

How are Chatbots and Conversational AI Different From Each Other?

Chatbots for business are mainly used to cater to simple queries, whereas conversational AI can perform more cumbersome functions.

Chatbots can provide convenient and immediate responses, however not all chatbots use conversational AI. It generates responses that are previously scripted. However, with conversational AI, the responses may change depending upon the interaction. Conversation AI can be understood as the brainpower within the chatbot.

The below table will give you a comprehensive idea:

Chatbots for small businesses will include common questions that can be manually scripted, but if your business involves a more customized conversation style, you have to choose conversation AI over chatbots.

Depending on your budget, team requirement, customer requirement, and level of business operations, you can make a selection between chatbots and conversational AI or both.

Conclusion

Conversational AI will help you get more customers and leads promptly and competently. Many organizations are adopting conversational AI processes for their sales and customer support divisions to have transparent, smooth, seamless, and efficient communication with their customers.

These AI-driven platforms will take customer engagement and customer management to the next level. The tools will streamline your process, understand your customer needs, lower your overhead costs, and generate business growth in more than one way.

Don’t forget to give us your 👏 !

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Conversational AI — Why, How, What, and Where. was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

The most remarkable transformation the digital revolution brought upon us is the need to collaborate. We saw hints of this back in 2006 with the release of Google Docs, which allowed users to write and collaborate in real-time.

As years passed and network speeds became faster, Cloud collaboration is now at an all-time high. It’s incredible what we can achieve when working together, learning together, and building together.

COVID-19 has been a catalyst for accelerated digital transformation. While one-stop solutions may be ideal for organizations, the ability to tap into multiple sources of expertise is what brings out the most impactful solutions.

We’re at our best when we collaborate, and with our partners, we aim to deliver a superior customer experience for their clients. Whether that’s ensuring conversational automation has been embedded within current workflows to enhance customer experiences, using Live Chat to forge better connections, or simply becoming a source for market feedback to improve organizational health. Collaborating through partnerships will always bring out the best for global businesses looking to invest in this space.

As a Platform, we believe this is the right time to up the ante on our collaboration model. And we’re stepping these efforts up with our newest partnership program, the Preferred Partnership model. Here’s how it works.

The future of business

The primary focus of any organization is to be efficient. Businesses are constantly on the lookout for ways to optimize both internal and external workflows. Hence the massive shift towards AI-enabled automation in industries such as banking & insurance, e-commerce & retail, the public sector, manufacturing, warehousing, and more.

Time is of the essence, and with the highest-in-class conversational tools, you can unlock access to a broader market to maximize profits without compromising on customer experience.

Just as how our platform has created revenue streams during these unprecedented times, the Preferred partnership opportunity passes the baton for any solutions provider looking to build engaging conversational solutions in their respective domain.

Our platform has achieved triple-digit ROI gains for our current partners, which speaks volumes of the market growth. Tapping into our newest partner program might just be the big break you need.

Now, this isn’t just any ordinary program. It’s the beginning of a relationship between your business and Engati. Your success is our success, so we’re willing to support you and your business every step of the way.

Trending Bot Articles:

1. How Conversational AI can Automate Customer Service

2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

3. Chatbots As Medical Assistants In COVID-19 Pandemic

4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

Why partner with Engati

Leading the forefront with best-in-class features, like no-code deployment, a secure, enterprise-level NLP Engine supporting native and custom integrations, Engati has strategically equipped partners with tools that keep businesses moving forward, thus increasing ROI.

Here are a few ways Engati can benefit those in search of a good partner relationship.‍

1. Earn more revenue

Say goodbye to the days of cumbersome earning processes via commission models. And instead, say hello to direct earnings. As a preferred partner, you will be provided with “preferential pricing” and have the flexibility to create your own pricing strategies.

In addition, the revenue from value-added services to clientele around bot-building and solutioning will also help bolster your revenue. We encourage partners to use and expand the platform’s development process to create additional revenue streams not mentioned above.

If need be, our team would be glad to help you set up a robust pricing strategy by incorporating our learnings and experiences in this space. With our support, you can now set up your clients with a trusted, customizable, and intuitive solution to run and grow their businesses.‍

2. Access to a broader market

We understand how difficult it can be to onboard and nurture a customer, especially to those one not in favor of digitization. Our team of experts is on standby to back you up during all sales calls, transforming your leads into high-value customers having partner loyalty.

We also provide marketing material to help you market product solutions to your customers on social media and other relevant channels where your customers meet.‍

3. Our leads, your customers

With Engati’s upcoming Partner Directory, you have the opportunity to get showcased on our website. We understand that partners bring a lot of knowledge of current market affairs to the table, along with a long-standing experience of handling customers regionally and according to their specific industry needs.

At Engati, we look to leverage this by passing relevant leads landing on our platform directly over to you to reap the benefits of having our leads as your customer.‍

4. Learn the way you want

The Engati Preferred Partnership Program allows you to become a solutioning expert. You can now develop and test your skills with an extensive support system that includes tutorials and guides to enhance your technical and business expertise.

You’ll also have a dedicated team of support to back you up as you start your journey with Engati. You can contact us through our dedicated support email and our website bot. Partner Support can help you navigate our Partner programs, resolve issues for your clients, and grow your Partner business.‍

5. Enhance your employee experience

When finding a solutions partner, a determining factor is how it can drive productivity within the organization. Most platforms that are on the market require heavy coding that can quickly tire employees out.

However, with Engati, bot-builders no longer have to rack their brains with testing and debugging the platform. The low-code platform takes care of it, driving productivity to an all-time high while enhancing your employee experience.

Here are a few ways that we help partners and their employees to build better solutions.

• Extensive integrations
  You can integrate Engati with your favorite tools and platforms. Ranging from native integrations like Google Calendar, Zapier, Salesforce, etc., to custom integrations, like Basic JSON API nodes, advanced JSON, and the Cloud2Enterprise Bridge for flexible deployment.
• User-friendly platform
  The Engati platform checks all of the boxes of being easy to use and interact with and responding in a human-like fashion with automated training, FAQ improvement, contextual responses, and more.With our state-of-the-art proprietary NLP Engine, Engati chatbots automatically improve with each response so that your teams don’t have to keep an eye on them. The DocuSense technology and enhanced sentiment analysis capabilities empower your chatbot to make complex decisions without human assistance.
• 14 deployment channels
  Engati can serve your customers on their preferred channel. You can deploy the solution over 14 channels, including WhatsApp, Facebook Messenger, and Telegram.
• Support for over 50 languages
  With only 25% of netizens understanding English, you can enable multilingual conversations with Engati’s NLP. We’ve equipped the NLP Engine to communicate in over 50+ languages, including Right-to-Left (RTL) languages like Arabic, Persian, Urdu, and Hebrew.

And many more… Click here to learn more about Engati’s defining features.‍

6. Your insights shape our platform

Joining our program means being a part of a community. With Engati, you have a platform to voice your opinions to better build and forge a partnership that meets your requirements.

We look forward to building a forum for our partners to regularly check in with the partnership team to make your journey with Engati as seamless as possible. Your feedback and learnings from using the platform will enable us to align our product with the voice of your customers.‍

Conversational Automation: It starts with Engati

Getting started with Engati’s preferred partnership model is simple. Rather than creating an entirely new platform, all you have to do is provide our experts with details such as your official partner name and your existing clientele, and you’re good to go. We offer extensive personalized training and provide you with a WhatsApp number for easy deployment for onboarding.

You set the pace of your deployment- the sooner you share these details, the faster it is for us to get you started and reap the rewards of our platform. We’ve seen some of our clients set up their partner portal and build solutions for clients in less than 2 days! It’s that simple.

So, are you ready to partner up and experience what Engati’s Preferred Partnership program can do for you? Click here to learn more.

This article about “Investing in conversational automation | Partner with Engati” was originally published in Engati blogs.

Don’t forget to give us your 👏 !

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Investing in Conversational Automation was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Hey, I recently made a notebook tutorial on training a Rick & Morty chatbot but feedback suggested it was too long and complicated. So here is a much simpler version! It lets you deploy any pretrained chatbot on huggingface really easily. You’ll be able to chat with it through a mobile app, just like in the picture below. The notebook can be found here Hopefully someone finds it helpful Thanks! https://preview.redd.it/o5eo8fgx54h71.png?width=1530&format=png&auto=webp&s=b58f22c2e8f017d6ef47ac27b695487c301b856d submitted by /u/rsedlr [link] [comments]

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Rasa is a python framework that helps us to build any kind of Chatbot easily. It based on NLU (Natural Language Processing) which offer the possibility to understand what the user want. Let’s discover it.

Firstly you must know how the Chatbot works. The Chatbot is a conversational agent which talk with a client or user and provide answers to the users’ requests independantly of the human intervention.

The Chatbot is composed by some specifics terms that we will discover:

Intents: It represent intentions that the user want to express when he submit his message to the Chatbot. Inside the intents, we provides somes phrases that the user may ask and we also provide some responses that the Chatbot must use to answer to the user. It’s the work of the Developper here.

Entities: Entities are keywords that represent some specifics datas that the Chatbot may use to perform the discussion with the user. Entities are used to extract some values inside the user input (message).

Now, we know how Chatbot works, we can switch to the Rasa Framework.

Rasa is split into two python librairies like Rasa NLU and Rasa Core. The first one is the Natural Language Understanding and use the intents to understand what the user want and entities to extract some specifics values to make the conversation more interesting, after Rasa NLU have understood what the user want and extracted somes values, it send it to the next one. Rasa Core receives the data sended by Rasa NLU and process it to find the correct answer that it should send to the user as output, For having a response, it will look for the responses that the Developper provided to him inside the intents.

Trending Bot Articles:

1. How Conversational AI can Automate Customer Service

2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

3. Chatbots As Medical Assistants In COVID-19 Pandemic

4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

Explanation:

1. The User submit the request (a message is sended to the Interpreter)
2. In the Interpreter section, we have Rasa NLU which capture the request, and extract intents to understand what the user want, and in the same time it extract some specifics keywords (entities) which represent the important data. Then it send the result to the Tracker. The rest of the elements below is contained inside Rasa Core.
3. The Tracker here, is used to store the conversation history in memory. By this fact, the Chatbot should know in where level the conversation is, it maintains the conversation state.
4. After that, the Policy comes; it choose the action which will be execute at every step in the dialogue, regarding the history of the conversation.
5. The Action here, look inside the history for consulting the state of the conversation. This step can trigge another action.
6. The action is executed and an ouput is generated (message from the Chatbot) to the user.

Now you have a brief understanding on how Rasa Framework works, you can now decided to learn about how you can build your own chatbot using this framework.

just check out the documentation of Rasa.

for more explanation: https://rasa.com/docs/rasa/playground

Thank to you reading.

Don’t forget to give us your 👏 !

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Understand how Rasa Framework works was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.