Earley AI Podcast

In this podcast hosts Seth Earley & Chris Featherstone invite a broad array of thought leaders and practitioners to talk about what's possible in artificial intelligence as well as what is practical in the space as we move toward a world where AI is embedded in all aspects of our personal and professional lives. They explore what's emerging in technology, data science, and enterprise applications for artificial intelligence and machine learning and how to get from early stage AI projects to fully mature applications.Seth is founder & CEO of Earley Information Science and the award winning author of "The AI Powered Enterprise." Chris is a technology executive and strategist interested in how AI and Machine Learning will enable next generation customer and workforce engagement..

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Earley AI Podcast

Data Tells the Story - Michelle Zhou - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 025

February 27, 2023 • Seth Earley & Chris Featherstone • Season 1 • Episode 25

Today’s guest is Michelle Zhou, Co-Founder and CEO at Juji, Inc. Michelle joins Seth Earley and Chris Featherstone and dives into what proprietary data is and how it can be used correctly. Michelle also discusses the one lesson she has learned is that you have to build a product that can help people. You want to achieve your customers' outcomes, not your outcomes. Be sure to listen in on Michelle giving her advice on how to pick out the golden nuggets in AI data to show a coherent and meaningful summary!

Takeaways:

When Michelle first started with computer science, she wasn't fond of it until she attended Michigan State University where two professors changed her perspective on computers. They gave her the opportunity to work on building graphical user interfaces for power management and worked on projects that dealt with AI data storytelling.
Michelle explains that the AI data storyteller gives a set of data and tasks of the user which then gives the user visual preferences. It also consists of a series of animated data visualization.
During Michelle’s first 15 years of research, she was working on understanding users in a task context. For example, what their tasks are, what they're looking for, what their visual preferences are, and what their verbal preferences were.
Michelle has noticed a lot of students will strive for a degree that their family has done in the past. Michelle says that you don’t always have to follow any degree you don’t want. There are so many unique degrees to pick from.
Michelle believes that transparency drives responsibility and since they have a powerful AI system, she wants to make sure that they use their AI in a responsible way.
The one lesson Michelle has learned is that you really have to build a product that can help people. Make sure to achieve your customers' outcomes and not yours. You don’t want to waste their time.

Quote of the Show:

“I want to really democratize the use of this cutting-edge technology.” (23:41)

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