NLP for financial companies with Ben Nichols
The Data Standard
Ben Nichols is the Head of Product at IMS, Inc. Based in Liverpool, New York, IMS, Inc. is a fully integrated service provider of Conversational AI, Robotic Process Automation (RPA), Payments, Print, Electronic, and Mobile Communications.
Ben is also an Adjunct Professor of Data Science at Syracuse University, where he conducts lectures on Natural Language Processing, Database Design, and Scripting for Data Science.
Prior to that, Ben was Senior Director of Customer Insights at CB4, an AI tool that helps retailers uncover and fix the costliest in-store issues.
At CB4, Ben led a team of insights managers, sales solution architects, and data engineers who were responsible for multi-million dollar customer retention, customer upsells, and fulfilling new revenue goals.
Before CB4, Ben worked in multiple data intelligence and business analytics roles at organizations like IBM and Morgan Stanley.
In this exclusive episode, Ben Nichols shares with us the following aspects of his life and career:
- Talking from his past experience, he shares with us his views on the differences between working at a large organization vs working at a startup.
- What are the current capabilities of Natural Language Processing (NLP) and chatbots
- How cross-channel integration can be fostered using NLP for enhanced customer experience.
- What are the avenues of NLP Beyond chatbots?
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
Head of Product at directlink
Ben Nichols is the Head of Product at IMS, Inc. Ben is also an Adjunct Professor of Data Science at Syracuse University, where he conducts lectures on Natural Language Processing, Database Design, and Scripting for Data Science.