Zara  Bryant

Zara Bryant

1631089920

Build a Shopping list as a Chatbot using the Microsoft Bot Framework

Are you part of any group chats? Do you need to coordinate with friends & family? Do you sometimes forget to remember something? We do! Bots allow for new interactions with a message centric interface instead of the user interfaces we are used to. As such they are a perfect answer to our questions. They can be part of group chats to coordinate with friends & family and keep us accountable for these small tasks in life.

What is this session about?
Together we will build a a shared shopping list as a chatbot using the Microsoft Bot Framework. The chatbot uses the LUIS API for natural language processing to find out the chat participant's intent (add a shopping list item, mark an item as done, remove an item from the shopping list, ...) and entities (5 kg bananas, three apples, 2 liters of orange juice, ...).
If any information is missing, the bot starts a dialogue with the chat participants to retrieve the remaining information needed. Afterwards, the Azure Function for the respective intent is called which operates (add, update, delete) on a Cosmos DB.

Who is it aimed at?
Developers with no prior knowledge about chat bots, that want to learn more about building bots and have a basic understanding of any programming language.

Why should I attend?
This workshop will guide you through building a real world bot with zero knowledge about any of the technologies we are using. Because this is a full stack scenario you will also learn more about language understanding with LUIS, non relational databases with Cosmos DB and serverless computing through Azure Functions.

What should I do now?
If this workshop interests you do not forget to add it to your calendar.
However, basic understanding of any programming language will be helpful.

This event is presented by Sandro Speth & Malte Reimann, who are our Gold Microsoft Student Ambassadors. 
#chatbot #microsoft 

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Build a Shopping list as a Chatbot using the Microsoft Bot Framework
Erwin  Boyer

Erwin Boyer

1624502703

11 Of The Best Artificial Intelligence Enterprise Chatbots in 2021

Chatbots for businesses help them engage their website visitors and convert them into potential customers. The implementation of chatbots transforms the way businesses interact with their users. They can use a chatbot AI for sales, marketing, customer support, and automate many other business tasks.

The AI chatbots have revolutionized the customer service experience and enabled businesses to serve their customers in a better way. Chatbots, if created and used right, can help you take your business to all-new levels of success.

To make the best AI chatbot for your business, you need an efficient chatbot builder with various advanced features. In this post, we have listed different chatbot builders with their features, pros, and cons. Just go through the post and find the one that best fits your business needs.

chatbot for your business.

  1. Chatfuel
  2. Gupshup
  3. Appy Pie Chatbot
  4. ChatterOn
  5. MobileMonkey
  6. ActiveChat.ai
  7. Imperson
  8. SnatchBot
  9. Botsify
  10. BotCore
  11. Pandorabots

#chatbots #chatbot-development #ai-chatbot #customer-support-chatbots #power-of-chatbots #enterprise-chatbots #use-cases-of-chatbots #what-is-a-chatbot

The Best Way to Build a Chatbot in 2021

A useful tool several businesses implement for answering questions that potential customers may have is a chatbot. Many programming languages give web designers several ways on how to make a chatbot for their websites. They are capable of answering basic questions for visitors and offer innovation for businesses.

With the help of programming languages, it is possible to create a chatbot from the ground up to satisfy someone’s needs.

Plan Out the Chatbot’s Purpose

Before building a chatbot, it is ideal for web designers to determine how it will function on a website. Several chatbot duties center around fulfilling customers’ needs and questions or compiling and optimizing data via transactions.

Some benefits of implementing chatbots include:

  • Generating leads for marketing products and services
  • Improve work capacity when employees cannot answer questions or during non-business hours
  • Reducing errors while providing accurate information to customers or visitors
  • Meeting customer demands through instant communication
  • Alerting customers about their online transactions

Some programmers may choose to design a chatbox to function through predefined answers based on the questions customers may input or function by adapting and learning via human input.

#chatbots #latest news #the best way to build a chatbot in 2021 #build #build a chatbot #best way to build a chatbot

Erwin  Boyer

Erwin Boyer

1624498185

AI Chatbots for Business: Why You Need One Now!

It’s said that Artificial Intelligence will be just as smart as humans by 2050. Experts like Ray Kurzweil have even predicted that we’ll achieve a technological singularity by 2045.

From that point on, it’s believed that AI will start inventing Nobel Prize-winning inventions every 5 minutes. Granted it’s gonna be out of our control, but hey, at least we’ll see a revolutionary breakthrough.

We may think that these claims are outlandish and ridiculous, but if someone were to tell me in the 70s that there will be self-driving cars in the future, I would’ve wanted to smoke whatever they were smoking.

But guess what, here we are in 2020, and Tesla already has their self-driving cars on the roads right now. And these were all recently developed technologies. Did you know that the first chatbot was actually launched in 1966?

Features of AI Chatbots

Why Do You Need an AI Chatbot?

Chatbots Across Various Industries

Wrapping Up

#ai-chatbot #what-is-a-chatbot #chatbot-online #chatbot #chatbot-website #facebook-chatbot #google-chatbot #best-chatbot

Erwin  Boyer

Erwin Boyer

1624546320

6 Chatbot Builders You Can Use to Emulate Facebook's Messenger

Innovative technologies like Artificial Intelligence (AI) and Machine Learning

are essential enablers of digital transformation. The unique ability to distill all complex data into knowledge, along with judgment (AI) and mechanical rules (ML) undoubtedly makes these technologies stand apart.

In order to perform any specific task, AI and ML get to the atom of every job and get it done with comparative ease. In this way, rule-based work separates from knowledge-based work, which typically depends on critical thinking and decision-making skills. This process not only disrupts the current organizational working practices, but also improves the customer experience by reducing time, human resources required, and budget.

For instance: AI and ML, along with Data Science, create Inductive Logic

programming (ILPs) efficient for image and voice recognition. An ILP is the backbone of chatbots. Robotic Process Automation (RPA) is another specific case, which accurately illustrates a fundamental change in digital technology.

RPAs are software robots that first learn and then mimic and perform rule-based tasks. They easily interact with any computer application or system with 100% accuracy.

As AI and cognitive computing together erase out the demarcation between the digital and physical worlds, making cognitive systems think, observe, assimilate and learn like humans.

It properly understands the human inputs via Natural Language Processing (NLP) and replies using Dialog Management.

#chatbots #chatbot-development #customer-support-chatbots #chatbots-and-voice-searches #how-to-make-a-chatbot #how-to-build-a-chatbot #free-chatbot-builders #marketing

Rasa Chatbot - A Powerful Chatbot Framework

Hello readers! Well done on completing the intent classification task. In this article, let me introduce you to the Rasa chatbot framework. It is an NLU (Natural Language Understanding) framework. So let’s learn about it.

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What is Rasa Chatbot?

Rasa is an open-source machine learning platform for creating AI assistants and chatbots.

In order to work in Rasa, you typically do not need any programming language experience.

What do AI Assistants do?

Two duties are performed by AI assistants: knowing the customer and providing the right answers.

The Rasa chatbot stack addresses these activities with the Rasa NLU portion of natural language interpretation and the Rasa Core component of conversation management.

It mainly performs two tasks:

  • Intent Recognition
  • Entity Extraction

There are two major modules in Rasa:

  • Rasa NLU for interface message comprehension
  • Rasa Core for discussing what to do in future

Rasa X is a platform that allows you to create, enhance, and deploy AI Assistants operated by the Rasa chatbot structure.

A web interface and a REST API are included with Rasa X. The newest update from Rasa is Rasa X.

Working with Rasa Chatbot

Let’s get right into installing the Rasa chatbot and then training our first model.

#python advanced #rasa chatbot #chatbot framework #powerful chatbot framework #rasa chatbot - a powerful chatbot framework #rasa