The Data Standard

Women in data-driven tech industries? with Lisa Woodley and Theresa Kushner

Lisa Woodley Vice President, Customer Experience and Theresa Kushner Consultant, AI/Analytics at NTT DATA sit down with The Data Standard to discuss women in data driven tech industries.

Episode Summary

Women are the key piece to the puzzle of realizing the highest maturity levels of digital enterprises. AI is one of the fields in which women can experience tremendous success, especially with the right push towards female participation in the industry. Women are a necessary force that organizations must integrate in order to accelerate the AI maturity of enterprises. Lisa Woodley Vice President, Customer Experience and Theresa Kushner Consultant, AI/Analytics at NTT DATA sit down with The Data Standard to discuss women in data driven tech industries.

Meet The Host

Catherine Tao

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

Lisa Woodley

Vice President, Customer Experience at NTT DATA

Lisa has spent 20 years bringing tech and business people together to design new customer experiences. As VP of Customer Experience at NTT DATA, Lisa leads her team in bringing the customer experience perspective to technology innovation to create experiences that elevate the brand and drive business value.

Theresa Kushner

Consultant, AI/Analytics at NTT DATA

We are at an inflection point in business today because of new processes, algorithms and paradigms. DATA sits at the heart of this tidal wave of new ways to work. Your every move -- both physical and electronic -- is recorded and used to guide your purchases, what you click on, even how you vote. Technologies like artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA) are being deployed across industries with the intent to help manage the overpowering amount of data that we are hoarding in our many data warehouses or in the countless databases on each personal computer. The data is being used intentionally and unintentionally to manage and often disrupt our lives. Our privacy is at risk as is our very culture by the algorithms that we create, train and deploy. My goal is to participate fully and ethically in this wave, to not be swept away by the latest "new" technology, and to help companies manage the change that is required as they learn to adopt and become adept at using data for making business decisions.