How AI Can Transform Customer Experience By Listening Better to the Voice of Customers
Last month, we saw a very significant breakthrough in the application of AI to human language processing. OpenAI, a nonprofit research firm backed by Elon Musk, developed a revolutionary AI model that can read, understand and write, almost at the competency level of humans.
OpenAI considered this breakthrough so dangerous that they stopped short of sharing the code, and instead, released a limited version. While the model used isn’t novel, the landmark here is the performance level it reaches when trained with exceptionally large sets of data.
To contrast, imagine a human who has to read all of Wikipedia’s English articles and use just that knowledge to write creatively on any assigned topic. Add to it the need to answer questions in reading comprehension style, to translate languages, or to summarize essays. This is what the AI model has been able to do. Here’s one of the many examples shared by the researchers:
How Can an AI with Exceptional Literary Skills Help Enterprises?
In the backdrop of this development, it is pertinent to explore ways that such capabilities can be put to good use in enterprises. In spite of steady advances in AI’s abilities to process text, pictures, and videos, most organizations still have a huge dependence on numbers and structured data.
In this article, we’ll take a sneak peek into this landmark, and explore how such advances in AI-driven natural language processing can be leveraged by enterprises. I’ve outlined 5 ways that advanced analytics can help transform customer experience, by reinventing customer feedback programs and listening strategies.
Please read further by checking out the article published by InsideBigData:
