Seng is a product manager, online entrepreneur, and founder of The Chatbot Business Framework.
Seng is a seasoned product and engineering manager passionate about solving business problems with artificial intelligence, conversational chatbots, and search as a lever.
Fifteen years of extensive experience in driving client service, software implementation, engineering management, and program/product management. Proven record of driving strategy for a product pipeline, fostering client relationships, and implementing organizational change management. Passionate about using innovation in artificial intelligence, machine learning, analytics and data science with digital assistants to help reduce cost, minimize risk, predict strategy and boost efficiency.
Speaking Engagements and Presentations
- Microsoft Healthcare Network (2019)
- Microsoft Teams Superheroes (2019)
- Cerner Enterprise Services Town hall (2019)
How I Got Started in Cognitive Services
In 2005, I graduated with a marketing degree from the University of Missouri. After school, I became a pharmaceutical sales representative where I learned the art of business-to-business sales. I learned a lot as a newbie right out of college, but I learned I also loved the analytics and technology side of the business more.
After two years, I was able to secure a job in healthcare information technology as a proposal specialist filling out Request for Proposals for potential clients for the business. Soon, I flipped to the client side of the house where I started managing software implementations and worked my way through the ranks, including managing consultants, managing engineers, managing knowledge, being a project manager, and managing scope and client relationships. With my knowledge in all of these areas, I realized how much I loved learning the way business worked on all sides of the house.
I also realized that I LOVE using new technology. In each of these different roles, I was always the first to teach or adopt a new tool or technology, and then taught others how to gain value from those tools.
Conversational design, chatbots, and artificial intelligence is no different. In 2018, I was able to secure a role in the research and development part of the organization in corporate information technology. As the product manager in this space, I manage teams across three different regional organizations where I strategize, roadmap, deploy, implement, and market the capabilities of our chatbot platforms and how it can help each of the different businesses inside our house succeed.
In this current role, I’ve been able to learn what it takes to truly implement a conversational chatbot from strategy, design, development, marketing, and evaluation to make sure that the business is getting a return on investment.
Furthermore, I’ve been able to garner what it takes to convince leadership on the value of at least investing in the research and development for having a chatbot.
My goal is to help businesses succeed in determining whether a chatbot is right for their line of business as well as the who, what, when, and where of doing it well. For those desperate not to waste money on the research and development phase of new technology, I’m here to help you side-step some of those problems with real-life scenarios and strategies that I’ve gone through myself.
