This post is a technical discussion on the future of chatbots. It compares various leading platforms and discusses trends in chatbot usage and development. One of the ideas is deprecating intents to makes it easier for chatbots to detect user intents.
These statistics are not for chatbots, but chatbots can easily customize your landing pages by greeting your users (when arriving from emails), be aware which ad they come from, and add videos and testimonials and generate more engagement.
Instructions on exporting your curated files in Kurator to the web. These files can be shared with WordPress KBucket plugin or via public kbucket.com site for free. To post your research to KBucket you need to upgrade kurator.
Semantic search is when you use tools and knowledge to add information about the information you are storing. With the explosion of information, semantic tagging of information makes it possible to provide accurate answers to user questions. Our CMS solution adds semantic meaning to the information we store.
This post shares information in chatbot usage and is broken down by consumer preferences, chatbot usage stats, social media and messaging apps, customer service, voice enabled bots, and chatbot and AI predictions.
Planning the design of your chatbots is extremely important. Most larger companies have call logs to get started. If you don't no worries, you can go live and figure this out. This post offers a roadmap you should follow.
Chatbots can be deployed inside of messaging apps, offer a better user experience and since the way we message each other will not change for the foreseeable future, NLP chatbots will become an important part of communication for businesses.
This post is a discussion and explanation of the future of Chatbots dialog possibilities. Today most chatbots match intents to inquiry, deprecating intents is when we can match the dialog directly to the database of information.
Email marketing is one of the most prominent tools used by businesses to attract and convert leads. It can boost your ROI by 4200%, which means with every $1 you invest in email marketing, you can…
One can say that traditionally chabots or conversational AI agents, are constituted by a four pillar architecture. As seen here, there are two components; the NLU component and the Dialog Management…
This is a great discussion on how to detect user input from complex sentences. The basic premise is to create roles for an entity, and then establish patterns in which those roles may be used. The idea here is to make the chatbot create structure from user input, instead of forcing the user to structure input.
In order for machines to understand humans we need to prepare our content and make it machine readable. Moreover, for chatbots to work well we need to manage the context and limit the conversation to specific topics. Lets see how it works.
Even Though the intent of this post is to compare the performance of various leading edged NLP platforms, it offers some great insight into what it takes to build and maintain a conversational chatbot.
Because of new EU Privacy rules, Facebook Messenger Changes. This post covers all of the changes in detail. Important for anyone who wants to use Facebook messenger as a web client.
Building a chatbot conversation is a process. User interactions will help you train your bot to deliver the right responses by understanding how people ask questions. This post offers a process for developing your chatbot conversations.
Learn how content libraries can help you with B2B selling. Making sure your most common questions are easily findable and shareable by your sales and marketing staff will drive more inbound traffic to your site.
A guideline on how to humanize your bot by breaking down the conversational design into 3 documents. The author is also promoting RASA as a leading platform for building chatbots. More importantly he suggests that a good design comes in stages and with the input of users.
Felipe Saxton is in the business of building natural language processing chatbots for their clients. In this interview he describes the difference between chatbots and virtual assistants.
This is an important discussion in understanding of how conversational chatbots work. The author points out the difference between NLP (Natural Language Processing) and NLU (Natural Language Understanding). I believe that the key to an effective chatbot is a well defined context.
Chatbots are ideal for landing pages. They will engage visitors into conversations and drive them to take actions, while collecting valuable information. If you are an ad agency and like to learn more schedule a demo.
Learn what structured content means in terms of chatbots. If you are accessing this content from our chatbot, it's because we have designed our tags to classify this content to answer a question about chatbot CMS.
Chatbots are changing our practices and one of the affected areas are mobile apps. Now chatbots won't entirely replace mobile apps but there are very compelling reasons why they will gain market share and why you should be paying attention.
An in-depth compilation of the latest conversational AI statistics and predictions! Learn the trends, use cases, adoption rates, funding and acquisition of AI companies by VC's and major corporations and other useful information.
Telemedicine is on to conversational chatbots as a tool to create empathy and help with patient communications. Here we have 12 examples. You can signup and try them to see how they work.
In this post you learn how to connect multiple chatbots to one agent so you don't have to repeat similar tasks, and can scale your solution. Dialogflow is a Natural Language Processing platform, so its smarter and more flexible than "Many chat" and "Chat fuel" and can be used as the back-end that integrates access to all your chatbots and makes them smarter.
Great post on why chatbot CMS will provide a better customer experience by quickly providing relevant answers to your customers and elevating your brand. Learn about the various components required to drive a chatbot CMS
We have recently started promoting the use of our curation library for designing chatbots. It turns out that curation is ideal for creating chatbot dialogs. We use Google's dialogflow and Botcopy a rich dialogflow webchat to demo our ideas.
Every chatbot needs a dialog. This post gives you a strategy on how to get started on building and managing a conversation flow for your chatbot. Learn about best practices, including building and maintaining a knowledge base. For that you can use our cms solution.
NLP chatbots are the future of customer support. This post offers some useful statistics on customer support and the use a discussion of the various types of chatbots for customer support and their projected cost savings.
This post introduces you to personas for your chatbots and some tips and tools for designing your conversations before your actually begin building the chatbot. In our process, we curate the content we want to share and use that as a guide for building our chatbots.
A great paper on how new machine learning and semantic search are turning search engines into what the author calls find engines. With correct tagging and data sets your can not only help people find the information they are looking for, but also help them discover related information.
Chatbots might be the best thing to happen to marketing yet. This post gives you an overview of the functions of the Bots in helping users find answers quickly on any device. Learn how to create a conversational marketing strategy in the Battle of the Bots.
Research on chatbots shows how businesses and consumers use the technology. Learn how customer service teams are using chatbots, what consumers think of chatbots and what makes a good chatbot experience.
To integrate bots you develop on Dialogflow with your website you need an agent. Botcopy is a flexible solution with tons of customization features and the solution we use for our purposes. Using Botcopy you can also send Bot messages via SMS.
The Fulfillment feature in Dialogflow allows you to programmatically build powerful functions that can deliver dynamic content to your chatbots. This post is a great introduction.
Natural language chatbots offer lesser false positive outcomes, are able to identify user input failures, use comprehensive communication for user responses, learn faster to address development gaps and need lesser training data inputs to achieve natural language capability.
Conversational chatbots are ideal for managing customer facing FAQ tasks as well as internal project management type tasks. This post will answer all your critical questions regarding the value of a conversational chatbot for your business.
To consistently feed chatbots effective content, there needs to be a system in place to continuously capture, reuse, and extend an organization’s knowledge in a structured and efficient way. This is exactly what our tools do.
The author of the book, "Proof of Collusion" on Donald Trump says that the amount of information released is so large now that we need curatorial journalism to keep track of everything. Our Kurator and KBucket tools are ideal for this purpose.
The author compares sites and libraries, with search and Bots as tools for information and knowledge management and argues that Bots offer he optimum solution for users as far as findability and training of users.
Great post with excellent examples of the types of bots used to fool people into believing that fake profiles are real. Chatbots are different than these automated bots, it is important that consumers know the difference.
Chatbots will transform the way governments will support their citizens by helping them find information to their questions faster, help them submit forms, let them pay bills, get support in their native language and more. The post links to some examples of these solutions.
The trend for sticky chatbots is to engage people in a conversation. But how do you get started and what should you pay attention to? This post provides some great insights about strategy and goal setting to make it all work. Curating, commenting and categorizing your content will help you with your process.
The theme of this post is, Create once publish everywhere. Good Chatbots need content and a good well structured CMS platform is a great source for your Chatbots content. CMS platforms offer a structurally consistent source that can be programmatically accessed to deliver fresh content to your chatbot.
Context is a concept in Bot design that helps you with directing users to the right answers quickly by assigning a context to the "intent" of your question. Learn the concept behind context for bot design from this great post
Majority of B2B buyers engage on social media for advice and research to make purchasing decisions. By curating answers to their questions you can gain their trust. The curated information can be delivered via NLP chatbots.
Chatbots offer measurable advantages to customer support. Customers don't like to wait and providing quick and direct answers to client needs will help you retain and grow your customer base. Chatbots eliminate wait time and save you 30% on support costs according to this study.
The author is a professional conversational chat dialog designer. In this post he talks about the importance of a CMS for managing your chatbot responses. Managing a large number of posts requires a CMS to help you visualize your content.
Brian Clark founder and CEO of Copyblogger, states that in the age of fake news, content curation by credible sources offers a trusted editorial source. A chatbot UI interface makes your entire library accessible to your readers.
When interacting with chatbots our brains believe we are talking to a human. This phenomena is known as anthropomorphism and such a process has profound psychological ramifications. Read about the psychology of chatbots, its pros and cons!
We know that online search has been broken for a while with the ever increasing explosion of content. Content curation, with a conversational chat interface can solve many of the issues facing search today!
There is an increasing demand for more carefully curated content due to unskilled searches and poorly curated and hard to find content. This wasted effort costs organizations $833 per minute according to this Info Desk study and our solution solves this very problem.
As a curator, and a company that has been selling curation services, I know through experience that organizational curation is highly effective, and needs planning and coordination. This article offers excellent steps to make your curation endeavor successful.
Marketers are under pressure to create more content, faster. This post offers some sobering statistics on time spent creating content vs the actual demands of the market. Curation plus chatbots can help you reduce your production time and guide your audience to the right content.
Algorithmic filtering may solve some problems but it creates a whole set of other problems allowing organizations to manipulate and control what people read. Human curators solve this problem. Our KBucket platform lets humans curate at scale, providing superior value to the consumers.
Worker take up to 8 searches to find the right information, that is 1.8 hours a day and 9.3 hours a week. Our KBucket solution lets users collaborate and curate information they need to do their work, saving significant time for both individuals and organizations.
This study is an excellent testimonial to the need of curation to deal with information overflow. Study has found that it takes between 5 to 25 minutes for users to find documents and information they need to perform their jobs. With exponential growth in content production, the findings in this article are just as relevant today as the day they were published.
Jeff Bezos says people will not pay for content, they will buy a package. Curation is the package for content distribution. Compare the tools in this post with our curated library and ask us about a voice activate chat interface!
According to the statistics shared in this post, most people simply look at headlines and read the news summary. Using our curation tools you now have the power to influence people with your headlines and summaries!
This is a presentation on different forms of indexing and their usefulness. As a curator, you are always concerned with proper indexing in order to improve findability of your information. It is useful to become familiar with the concepts of library science!
Organizations have an explosion of content similar to consumers. Managing access to this information requires dedicated resource. This article calls this person a community manager. Someone who curates information with specific goals in mind for the organization. We have had great success in this area with our tools.
Journalist can not rely on algorithms alone to break the "filter bubble". Take a look at 7 traits that makes humans superior to machines. Journalist as curators of news, offer a distinct advantage over machine algorithms.
I suggest that algorithms will never replace a human editor. Algorithms is a procedure for solving problems. A curator is a human operator that adds a set of parameters machines can never replace, at least not for the foreseeable future. This post provides the answers.
Article points out that curation is not an end to journalism as journalist have been curating to perform their jobs, but curation has now empowered citizen journalist to play the role of media!