In the recent years, the growth in popularity of chatbots has been the result of the amount of research poured into its underlying technology. These AI-powered bots are now being integrated in various industries such as payments, banking, customer service, and even pure personal amusement. The birth of chatbots developed from the curiosity of whether a robot can really fool any human into believing that it is human as well.
msg.ai is an enterprise AI platform for customer service enabling companies to automate high-quality support on email, chat and social. msg.ai works alongside a company's human agents to respond to repeatable issues, offering convenient, immediate resolutions on the channels that matter most. The platform’s deep learning natural language understanding engine enables the AI to take the next best action, ensuring high-quality support every time. msg.ai easily integrates into an organization’s business systems, enabling companies to become proactive with support, alerting customers of an issue before they contact a company.
DB: The last app I looked at was Talkspace, which provides online therapy with a licensed health professional at a significantly reduced rate. Similar to Joyable, it uses a variety of activity-based tools to make improvements in a variety of areas such as happiness, compassion, balance, self-awareness, and productivity. Users can communicate with therapists by leaving text, audio, and video messages at any time.
Rasa NLU & Core allows for more human-like dialogue, trained using interactive, and supervised machine learning. Rasa Core picks up patterns from real conversations and also takes the history and external context of a conversation into account. The Rasa NLU engine is an open source tool for intent classification and entity extraction, and offers natural language understanding for bots and assistants. It features the capability to turn natural language into structured data. It is modeled as a set of high level APIs for building your own language parser using existing NLP and ML libraries. Many developers world-wide are using it…
Pros: It's system is more advanced comparing with Manychat or Chatfuel (both are like toys if you try Activechat). It has autorresponders of course, but also suitable for flexible AI conversations. Is like coding an advanced chatbot without needing to be a coder. The team is very responsive and their founder Andrii has a clear vision about this project.
Its Alive helps you make chatbots for tour Facebook page. It enables you to engage with your Facebook community 24×7 with automated content to improve your response time significantly. Chatbots can be used to drive conversations. It can handle frequently asked questions directly through the chatbots by detecting keywords in Facebook Messenger. And it helps you broadcast your messages.
Adam Devine is the CMO of WorkFusion, architects of AI-powered products that automate customer service functions as well as other business processes. According to Devine, “Adding natural language processes and machine learning changes everything, giving virtual customer assistants (VCAs) the ability to determine not just what rules-based action to take based on a word, but to understand the meaning of words in different combinations, ask questions to create context and intent, and actually do something for the customer.”
Customer support tools, such as live chat, help desk, or contact center solutions, may already have chatbots implemented as a first line of defense when dealing with customers. However, they are becoming more widely used in other applications, such as sales and marketing knowledge bases. Users may even use them instead of a query language to find certain data points in business intelligence tools; by simply typing or speaking a request to a business intelligence platform, a chatbot can provide the proper data. Chatbot capabilities are constantly expanding and becoming more frequently implemented in other types of software.