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.Read More
Twitter partnered up with Azumo to build a robust native mobile application for iOS incorporating new key capabilities to be demonstrated in SxSW conference.Read More
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.Read More
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.Read More
Mat Dotson from Microsoft gives a live demo building a language model using LUIS and shares the roadmap for Microsoft cognitive services.Read More
Mitch Mason from IBM Watson walks us through the best use cases and tips on implementing language models with Watson Conversation.Read More
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.Read More
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.Read More
We hosted an expert panel on Natural Language Processing and Chatbots. Andrew Burgert, CEO of Azumo moderated the discussion.Read More
Great infographic for understanding the visual features available by bot messaging platform.Read More
While chatbots are capable of handling many different inbound questions, they sometimes need the support of a live agent to move a conversation along.Read More
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.Read More
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.Read More
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.
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.
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.
Brands across industries are adapting their mobile strategies to adopt the use of messaging chatbots to target and reach their customers.
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.Read More
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.