Human-machine interaction has come a long way since the inception of the interactions of humans with computers. Breaking loose from earlier clumsier attempts at speech recognition and non-relatable chatbots; we’re now focusing on perfecting what comes to us most naturally—CONVERSATION. 

Conversation bot design is the most happening thing when it comes to AI computing and an essential thing to consider for making products smart and digitally inclusive. With the rapid progress in AI and specifically in NLP computing, conversational AI solutions have greatly advanced language interpretation, making a near-normal conversation possible since the time Siri was first introduced in iPhone 4s in 2011.

Today we see, that chatbots have proliferated as part of the web application extensions. Adding a voice or chat interface is the fastest way to qualify an application as AI-ready, the chatbot is also the strategy for the mobile-first digital economy. The Natural Language (Conversation) interface is the preferred mode of intelligent interaction between humans and the technology they use, own, and wear. Consumers want to use everyday phrases, terminology, and expressions to control apps, online services, devices, cars, mobiles, wearables, and connected systems (IoT), and they expect quick & intelligent responses.

Consumers today highly value quick and efficient communication; Currently available slot-filling chat-bots which are at some point in time non-relatable and frustrating at worst do not fit the bill. For such cases, these are the most important characteristics sought in terms of conversational AI/bots: Multilingual Conversational Engines, Human experience to any interaction, context-aware & intuitive, & response adaptation as per customer sentiment.