We are pleased to announce that in "The Forrester New Wave: Conversational Computing Platforms, Q2 2018," IBM Watson Assistant is named as a Leader in conversational computing. It has become increasingly important for businesses to build engaging interactions that deliver value to their customers, and IBM is proud to offer technologies that help developers and enterprises enhance those experiences. The report evaluated the most significant conversational computing platforms, diving into each vendor's current offering and strategy and including customer feedback. IBM was cited for its developer-friendly tools and enterprise expertise requirements, which give developers access to the tools and technologies they need while providing industry and enterprise support for their businesses. Our customers also appreciated IBM's thorough understanding of enterprise requirements and Watson Assistant's readiness for integration into a broader architecture.
The standard user flows that currently dictate our interactions with computers are still quite limited, and are only a few years away from becoming unrecognizable. The process of changing this dynamic has already begun in the form of conversational interfaces. They will soon revolutionize how humans interact with machines. Just as how during the industrial age, we needed to learn how to interact with machine interfaces for driving cars, washing clothes, and ordering products, it is now time for the machines to start learning how to interact with us. We are all getting used to chatbots in customer service.
Conversational AI is a form of Artificial Intelligence that allows people to communicate with applications, websites and devices in everyday, humanlike natural language via voice, text, touch or gesture input. For users it allows fast interaction using their own words and terminology. For enterprises it offers a way to build a closer connection with customers through personalized interaction and receive an unprecedented amount of vital business information in return. The last eighteen months have seen no abatement in the demand for conversational AI platforms and predictions from major analyst firms shows the trend is set to continue strongly in 2018. But throughout this, there is an underlying message; enterprises need to deploy conversational platforms that are capable of truly understanding the customer--however they phrase the question.
NLP, or natural language processing, is often involved in industry use of chat-bots. We've all had experiences with chat-bots that auto-regulates our daily processes, but the potential for these chat-bots to exceed their current functions are still in rapid development. NLP enables conversational experiences with users in the form of chat-bots and virtual assistants. This experience can be through the mediums of messaging platforms, SMS, pop-up chats, or anything that utilizes smart responses. The conversational platform's API is often outfitted with the proper tools to bring about a desired speech.
As if starting your AI journey isn't daunting enough, choosing the right conversational AI platform can leave your head reeling. To help point you in the right direction, we've put together the top ten features you need to consider regardless of application. It may seem obvious, but there's a world of a difference between answering a question and holding an intelligent conversation. An engaging exchange will not only improve the customer experience but will also deliver the data to help you increase your bottom line. But in order to achieve this, the user interface needs to be as humanlike as possible.