White Paper: What is a Chatbot
Case Study: Twitter
This white paper provides a general overview for chatbots. With non-technical language you will learn about the different type of chatbots, chatbot use cases and benefits, chatbot design elements and building blocks.
Case Study: We Heart It
Twitter partnered up with Azumo to build a robust native mobile application for iOS incorporating new key capabilities to be demonstrated in SxSW conference.
White Paper: Expanding Mobile Experiences
We Heart It partnered up with Azumo to embark in a data science analysis project to discover latent topics that could be used in their editorial initiatives for their web and mobile properties.
Video: How to Train Your Bot with Microsoft LUIS
The ultimate guide to messaging, bots and conversational apps. Learn everything you need to know to make decisions about when, where, and how to build and deploy them.
Video: How to Master IBM Watson Conversation Service
Mat Dotson from Microsoft gives a live demo building a language model using LUIS and shares the roadmap for Microsoft cognitive services.
Video: How to Create Conversational Experiences with API.AI
Mitch Mason from IBM Watson walks us through the best use cases and tips on implementing language models with Watson Conversation.
White Paper: Chatbots and Customer Care
In this meetup, Ilya Gelfenbeyn provides an overview of API.AI capabilities to create great conversational experiences, and how to integrate and distribute with the different messaging channels.
Transcript: Panel Discussion on NLP and Chatbots
Learn how companies can phase chatbots into their support processes, and areas to achieve quick and long term ROI wins by utilizing chatbots for customer care.
How We Use IBM Watson to Build Chatbots
We hosted an expert panel on Natural Language Processing and Chatbots. Andrew Burgert, CEO of Azumo moderated the discussion.
Infographic: Mapping the Messaging Platform Features
We were fortunate enough to sit down with the CEO of IBM to share our views on building intelligent apps and chatbots.
How to Enhance Your Customer Service Chatbot
Great infographic for understanding the visual features available by bot messaging platform.
Top 6 Chatbot Design Elements to Consider
While chatbots are capable of handling many different inbound questions, they sometimes need the support of a live agent to move a conversation along.
Video: Panel Discussion on Speech, NLP and Chatbots
All chatbots are created in the image of the messaging platforms they work atop. Here are the top 6 design elements available to bots today from buttons to cards to quick replies.
Why Every Business Should Make a Chatbot
In July, we hosted a panel on Natural Language Processing (NLP) and chatbots with a group of industry experts. Watch the video to understand where we are and where are going in natural language and speech.
Why Brands Need a Conversational Interface
Today, we all want instant experiences regardless of the service - from travel, to ride sharing to delivery. Chatbots and messaging enable the on demand economy for every business.
Chatbots Personalize the Customer Experience
The following is excerpted from “Do You Have a Conversational Interface?” written by Bala Iyer, Andrew Burgert, and Gerald C. Kane and published in MIT Sloan Management Review on October 3, 2016. The original article can be found here.
4 Key Drivers of Chatbot Adoption
Without question, many customers prefer face-to-face interactions for service and support from their favorite brands. However, the data suggests digital interfaces have seized the lead in terms of channels customers prefer to interact.
Video: How to Easily Make a Chatbot with IBM Watson
Brands across industries are adapting their mobile strategies to adopt the use of messaging chatbots to target and reach their customers.
Are Messaging Chatbots a $40 Billion Market ?
One of the core areas for chatbot development is knowing how to use AI and natural language. Our customers often ask which AI or artificial intelligence platform to use for natural language processing (NLP). Here's a video on building a bot in 150 lines of code with IBM Watson.
With consumers spending more time on messaging platforms, businesses looking to get close to their customers need to look beyond mobile apps and websites. Messaging chatbots and smart agents allow brands to reach their customers where they spend most of their time.