Nowadays a high majority of high-tech banking organizations are looking for integration of automated AI-based solutions such as chatbots in their customer service in order to provide faster and cheaper assistance to their clients becoming increasingly technodexterous. In particularly, chatbots can efficiently conduct a dialogue, usually substituting other communication tools such as email, phone, or SMS. In banking area their major application is related to quick customer service answering common requests, and transactional support.
Chatbots are used in a diverse fashion, across all verticals and on many different types of channel, e.g. websites, social messaging, etc. In business their application accelerated rapidly in 2019, leading Van Baker, research vice president at Gartner, to predict that: “By 2020, over 50% of medium to large enterprises will have deployed product chatbots."
To compliment the functionality of bots for Messenger, we're introducing another tool to facilitate more complex conversational experiences, leveraging our learnings with M. The wit.ai Bot Engine enables ongoing training of bots using sample conversations. This enables you to create conversational bots that can automatically chat with users. The wit.ai Bot Engine effectively turns natural language into structured data as a simple way to manage context and drive conversations based on your business or app's goals.
At Facebook’s F8 Developers Conference, Messenger Bots were announced. These bots are being developed by media corporations and retailers alike and very quickly so which raises the question as to what a Messenger bot is and how it’s useful to so many different types of companies. Even more important to know is what these bots mean for the average user, whether or not they will always be safe or can they present a potential threat if they are developed by anyone with malicious intent. Here’s a the answer to all that and more.