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submitted by /u/qvt_harmeet [link] [comments] |
Author: Franz Malten Buemann
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How to Build Feminist Chatbot Designs
How to Build Feminist Chatbot Designs
In a previous article, we discussed the importance of designing chatbots with care. To recap: Careless chatbot designs reinforce negative gender bias and stereotypes. This causes problems in both the digital and physical world, which is why it’s essential to design chatbots with gender equality in mind.
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Bot Agencies Turned to SaaS Companies
It’s great to start as an agency and offer chatbot building services. But if you want to scale your business, it might be time to switch from a professional service model to something like SaaS or Marketplace.
Here are some companies that have made the jump from agencies:
Here’s a quick list of some companies that made it. They all started as agencies but after some time figured out how to build a product company.
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1. How Chatbots and Email Marketing Integration Can Help Your Business
- BotsCrew — (https://botscrew.com), started as an agency and then built a chatbot building framework.
- Botmakers — (https://botmakers.net) used to sell chatbot project leads but switched to chatbot templates marketplace.
- Airchat (https://airchat.us), a website bot building platforms focused on recruiting bots. Built by the Botmakers team too.
- A Denmark based BotSupply.
- Blip by Take (Brazil and LATAM market)
- London-based company We Build Bots (http://wbb.ai).
- Leena.ai started as an agency too but then join y combinator and built a HR chatbot platform.
Who did I miss? Please mention in comments or email me at alex@tarta.ai.
Don’t forget to give us your 👏 !
Bot Agencies Turned to SaaS Companies was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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Building a Weather Bot with Bot Framework Composer
Building a Weather Bot using Bot Framework Composer- Part 1
What is a Bot Framework Composer?
Bot Framework Composer is an open-source visual authoring canvas for developers and multidisciplinary teams to build bots. Composer integrates language understanding services such as LUIS and QnA Maker and allows sophisticated composition of bot replies using Language Generation. Composer is available as a desktop application as well as a web-based component.
See the documentation here — https://docs.microsoft.com/en-us/composer/
Let’s start building a basic weather bot using the Bot Framework Composer.
Prerequisites:
Now, let’s start creating our Bot
Creating the Bot
The first step in creating a bot with the Composer is to create a new bot project. This will create a new folder on your local computer.
- Launch the composer
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1. How Chatbots and Email Marketing Integration Can Help Your Business
On the Home page, select the New icon.
In the displayed Create a bot project form, enter the following information:
- Name. Enter the name WeatherBot. Notice that spaces and special characters are not allowed in the bot’s name.
- Description. Enter A friendly bot who can talk about the weather.
- Location. Select the location on your computer where to save the project.
- Click OK.
- Select the Greeting trigger in the Navigation pane on the left. In the Authoring canvas, the related conversation flow is displayed.
6. To help keep bots organized, you can rename any trigger to something that better describes what it does.
As an example, in the Properties panel on the right, rename the trigger from Greetings to Welcome User.
7. Now, it’s time to make the bot do something. Let’s instruct it to send a simple greeting to the user. In the Authoring canvas, select the existing Send a response action. Its properties will appear on the right in the Properties panel. This action has only one property: the text of the message to send.
8. Type a welcome message into this field such as:
Hi! I’m a friendly bot that can help with the weather. Try saying WEATHER or FORECAST.
It is always a good idea to have your bot introduce itself and explain its main features.
You can start adding functionality to your bot by adding Actions to the Welcome User trigger. You can do this by selecting the plus (+) icon in the Authoring canvas, at the desired location in the flow.
9. From the displayed list of actions, select the appropriate action.
Start your bot and test it
Now that your new bot has its first simple feature, you can launch it in the emulator and verify that it works.
- Select Start bot in the upper right-hand corner of the screen. This tells Composer to launch the bot’s runtime, which is powered by the Bot Framework SDK.
2. Once the bot’s runtime has started, the Local bot runtime manager will open. You can also select the icon to the right of the text Restart bot, as highlighted in the following image, to open and close the Local bot runtime manager.
3. Select Test in Emulator in the Local bot runtime manager. This will open your bot in the Emulator.
Soon the Emulator will appear, and the bot should immediately greet you with the message you just configured:
4. When you are done, you can stop the bot by selecting the Stop Bot button in the Local bot runtime manager.
Finally, we have successfully created a bot using Bot Framework Composer!
Reference — Microsoft Tutorial
Don’t forget to give us your 👏 !
Building a Weather Bot with Bot Framework Composer was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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3 Ways Conversational AI Assistants are changing employee communications
With many employees now finding themselves working from home most of the time, traditional methods of communication are becoming less effective. This in combination with multiple and complex systems and the plethora of emails HR and Support teams are receiving daily, is making it increasingly difficult for employees to find the information they need to support their role.
The way employees are communicating with their organizations is therefore changing and Conversational AI Assistants are helping to facilitate this change.
Changing Communication Channels
Over the last year platforms such as Slack and Microsoft Teams have been increasingly relied upon by employees and managers alike to communicate regardless of their location. The tool’s ability to provide instant connection and responses, as well as integrations with shared workspaces and video calls makes them the ideal communication channel for many employees.
Additionally, the instant nature of applications such as Facebook Workplace echoes the development of many popular social media platforms, making them immediately translatable for younger employees within the workplace.
A recent survey conducted by Humley exploring employee communications trends in 2021, found that 33% of employees from the Gen Z bracket preferred collaboration and instant-messaging tools over more traditional channels such as email. It is certainly, clear that the reliance on these collaboration platforms will continue to grow and perhaps even surpass emails and calls as we move towards a more hybrid model of working.
Conversational Assistants could help organisations manage the rise in demand and adoption of these communication platforms through deploying directly to them. Conversational Assistants enable businesses to provide instant responses to queries and requests such as ‘How much annual leave do I have left?’ or ‘What is the company policy on COVID-19?’, interacting with employees in the same way as an HR and Finance administrator might.
By deploying Conversational Assistant to channels such as Slack, businesses can enable functional teams (HR, Finance, etc.) to transition away from emails and calls and communicate with employees in the channels they actually use, increasing not only workforce productivity but also engagement and satisfaction.
On-Demand Information
We live in an on-demand culture and our personal lives and are used to having information at our fingertips — from being able to get 24/7 customer support to instant web browser resources, yet in a workplace, this is often not the case.
To find vital information employees are required to navigate complex systems and documents or send multiple emails which can be subject to delays in responses, resulting in frustration. Humley’s survey also found that 42% of employees surveyed struggled to find the information they need and a further 31% experience delays in email responses leading to lack of clarity, productivity, and ultimately low morale.
Conversational AI Assistants enable employees to communicate and find information whenever they need it, with no reliance on email responses or call-backs. For example, platforms such as Humley’s deliver meaningful responses in an average of 2 seconds. This means not only instant user satisfaction but also that functional teams such as HR can deliver an average 30% time saving to their day through reducing the number of email requests needing to be processed.
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Additionally, Conversational Assistants such as Humley’s, also come with pre-built integrations to internal business systems (HRIS, Payroll, Finance, CRM, Sales), which means that not only can employees and managers securely access information contained within them but can also perform tasks such as updating customer records or booking holiday. Again, saving employees significant time, improving productivity, and reducing the pressure on functional teams — freeing them up to focus on more rewarding and business-critical tasks.
More Open Conversations About Wellbeing
A recent Humley Survey exploring the impact of COVID-19 on employee wellbeing found that 69% had been moderately to severely impacted by the change to remote working. With the change to more permanent remote working and reliance on digital channels of communication, it can be difficult for organisations to gauge the wellbeing of employees. This is particularly true as often we do not know that we are not OK and as result will not communicate this.
Conversational AI Assistants could be deployed by HR Teams to provide additional support for employee’s well-being by enabling them to seek advice without the need to speak to a person. This is crucial because of the stigma surrounding mental health, meaning that many people are still reluctant to discuss their wellbeing for fear of shame or judgment. Conversational Assistants, therefore, not only allow employees to remain anonymous, but also provide the right information and advice whenever they need it.
Additionally, the utilisation of Natural Language Processing (NLP) within Conversational Assistants means that they can understand and identify employee sentiment within conversations and be used to flag concerns, prompting human intervention.
For example, this could be as simple as repeated negativity identified in employee responses, which triggers a notification sent to the appropriate team leader with a recommendation to check-in. Or more complex analysis of interactions and conversation trends which help HR Teams to identify potential mental health and stress-related issues before they arise. Leading to more meaningful interactions about employee wellbeing and improving motivation and morale as a result.
The tremendous challenges of the last year and the evolution of digital channels have meant that how employees communicate with an organization has changed. Conversational AI Assistants are part of this shift in the landscape and could enable businesses to facilitate more effective and productive employee communications, improving engagement and experiences as well as ensuring long-term success.
To find out more about how Conversational AI Assistants could transform your employee communications, get in touch today. info@humley.com
Don’t forget to give us your 👏 !
3 Ways Conversational AI Assistants are changing employee communications was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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I have been trying to build a chatbot. I see you guys have ones that can look more than 1 message back. How does that work?
Basically the title. Does anyone have how to do that or a github repo i can take a look at?
submitted by /u/linux-nerd
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Exclusive VIP Promo for Conversational AI Conference
SAVE $170 and Get Tickets for only $49!
Chatbot Conference Online 2021 Hi, hope you are healthy and well.
We wanted to thank you for being a long time subscriber and for helping make Chatbots Life one of the most popular blogs on Chatbots and Conversational AI online.
The event features speakers from Google, Salesforce, IBM Watson, CoCoHub, Rasa, etc. It’s the perfect opportunity to discover how enterprises are using Conversational AI and to network with top industry experts.
Also, we wanted to inspire you to create more great Conversational AI systems!
So we created a special promo just for you and are offering you a Discounted Pass to the Chatbot Conference for only $49! This is $170 off our current price and this offer is limited to the first 25 people who register.
You can now attend the Chatbot Conference on May 25th for only $49.
Hope to see you there!
Stefan
Cheers!
Exclusive VIP Promo for Conversational AI Conference was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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Reached 3k Download on WordPress Chatbot Plugin
I am working on the BotPenguin WordPress chatbot plugin for the past 1 year and got 3k+ downloads, and here are my observations.
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Regularly Update your plugin with recent Tested up to Recent WordPress Updates
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Collect Reviews for your plugin
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Resolve queries/complaints on your plugin
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Make sure PHP Version is lower as possible
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Use Proper Tags For your Plugins
If you have more suggestions, please write them in the comments below.
Here is the link: https://wordpress.org/plugins/botpenguinbot/
submitted by /u/botpenguin1
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An expert system: Conversational AI Vs Chatbots
Conversational AI vs Chatbot If I am not wrong, most of you will be very happy and excited after seeing this title.
Yes, today, we are going to discuss Chatbots Vs. Conversational AI.
The reason for the excitement is that most individuals and enterprises are confusing between these two buzz words.
Every human being is born with knowledge, but only limited ones will use that knowledge intelligently at the right places & situations.
I hope the above statement will give you a comprehensible & primary difference between a Chatbot (Knowledge) and a Conversational AI (Intelligence).
To stay pertinent & prolific in today’s digital world, every enterprise must adopt the latest technologies to make their way into the computer world.
It means enterprises need to deploy solutions (Conversational AI) that customers expect to help enterprises scale and remain competitive in the competitive world.
If you are reading these words means you are eagerly looking out for some answers.
Continue reading!
In the end, all your doubts will vanish, and you can decide whether to go for Chatbots or Conversational AI platforms.
We are moving into the age of smart machines driven by Artificial intelligence, Conversational AI, the Internet of things (IoT), NLP, NLU, and Robotics.
What is Chatbot?
Chatbots are typically a rule-based and bounded software system that has well-defined categories that automate human interactions. The Chatbots are uncomplicated to build and follow some predefined stream.
The Chatbots will give responses to the only pre-determined linear flow of conversations.
Suppose if a Chatbot is built to provide solutions for problems A, B, and C. The bot immediately responds when those three instants occur.
If a human gives anything other than those three instants, the bot sends you an error message.
The Chatbots ease the process for humans by removing clicking on a menu of choices; you can talk or type as you communicate with a human agent.
The Chatbots are categorized under three categories based on their purpose, level of advancement, and communication channels. They are:
- Button/Menu
- Keyword-recognition
- Contextual
There are two core problems with the old Chatbot models.
The first one is the specific rigidity of learning models, and the next one is that Chatbots cannot learn in between conversations.
The concept of Conversational AI comes into the picture to solve the common problems faced in Chatbots.
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1. How Chatbots and Email Marketing Integration Can Help Your Business
Understanding Conversational AI
You know, Conversational AI is the new user interface (UI).
In simple terms, Conversational AI is defined as a form of AI that enables individuals to communicate with messaging apps, websites, speech-based assistants, and devices in everyday language via voice, text, and video.
Conversational AI mainly focuses on the dialogue flow system, which handles human variance in communication between computers and humans.
The Conversational AI platform uses various technologies, Natural language processing (NLP), Natural language understanding (NLU), Machine learning, Deep learning, and predictive analytics to provide a human touch to the users while interacting with the machines.
Conversational AI carries out multi-turn banter & accomplishes decision-making tasks, just like humans.
Companies are shifting to Conversational AI platforms when Chatbots fail to deliver customer expectations, especially in complex use cases such as telecommunications, healthcare, insurance, and banking.
Conversational AI capabilities go far beyond natural human language, especially when compared with the standard Chatbots, which frustrates customers.
Conversational AI Vs Chatbots
Now, let us look at what separates a Chatbot explicitly from Conversational AI.
Conversational AI vs Chatbot The initial iteration of Chatbots is commonly referred to as first & second generation, and conversational Chatbot technology falls into the third generation.
Chatbots are mainly useful for online enterprises, but coming to their abilities (Pre-programmed responses), they are limited, and they operate on if/else algorithms.
When the bot is incapable of acting in response to user intents, the algorithm either loops or that chat will be transferred to a human agent.
The Conversational AI bots remember personalities & preferences. Conversational bots use Artificial general intelligence to reflect and operate as a human.
Both the words ‘Conversational AI’ and ‘Chatbot’ have the same meaning.
Conversational AI technology can be used to build both text and voice assistants. In contrast, Chatbots are more confined to text-only conversation.
Conversational AI is more intelligent and smarter than standard chatbots.
Conclusion
We genuinely deem that these two technologies are complementary. When these two technologies combine effectively, they can enhance customer engagement & customer experience, which adds significant value for enterprises & users.
From the above all conversation, you got to know the difference between Rule-Based Chatbot and Conversational AI.
If you still have anything to converse about the right mix, get in touch with us.
We have great professionals on board who can give you the best possible solutions.
Stay Connect with us!
To get more updates on Conversational AI, Chatbots, and Artificial human intelligence.
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An expert system: Conversational AI Vs Chatbots was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
