The Data Standard
When we think of computer science, namely Artificial Intelligence (AI), it’s easy to forget just how revolutionary it is.
Today, Artificial Intelligence can not only speak, write, listen and understand human language, it can also extract meaning from natural language to make informed decisions all thanks to Natural Language Processing. NLP is arguably one of the most exciting fields in AI and has already given rise to technologies like voice assistants, chatbots, translators, and many other tools that we use daily.
Natural Language Processing is a field of AI that enables computers to analyze, understand and arrange human language. Natural language processing software continues to advance to better interpret the nuance, context, and obscurities present within human communication.
NLP has already been adopted by many businesses that are driving results by drawing insights from large quantities of data while automating repetitive and monotonous tasks. NLP will only continue to benefit businesses as our reliance on, and understanding of, data shifts. With the amount of data at our disposal, it will be more and more pertinent to understand it, observe it, and in certain situations, censor it. Natural language processing will become more widespread in the years to come, as businesses reap the benefits it has to offer; from improving operations and reducing costs, to heightened customer satisfaction and more informed decision making. This episode features an interview with Kevin Wu, Chief Data Scientist at Consumer Edge. His company, Consumer Edge, enables its clients to obtain insights about the consumer from consumer transaction data.
Meet The Host
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Chief Data Scientist at Consumer Edge
A former buy-side analyst turned data professional that combines a strong investment and business background with programming and modeling sk.