News Big Data

Waterline Data Hosts Women in Data Dinner & Forum in NYC

Accomplished Data Leaders from Wells Fargo, Fannie Mae and Other Financial Institutions to Discuss Unconscious Bias in AI/ML Algorithms, Diversity in Data and More

Mountain View, Calif.—February 11, 2019Waterline Data, a global leader in data cataloging solutions and applications, today announced it is hosting a “Women in Data Dinner & Forum” on February 11th in New York.

The Women in Data Dinner & Forum will feature a panel discussion with representation from Fannie Mae, Wells Fargo and others that addresses the underutilization of women in data, particularly within the financial services industry.

Topics to be discussed include:

  • How to eradicate unconscious bias in artificial intelligence algorithms
  • The importance of diversity in data
  • How to use collaboration, communication and teamwork more effectively to avoid “alpha male” decisions made in silos
  • The valuable perspective women bring to the workplace


“Female talent remains one of the most underutilized resources in business today, according to the World Economic Forum’s Global Gender Gap Report,” said Cynthia Crossland, CMO at Waterline Data. “In technology and data in particular, the challenge for women in establishing equal footing in a traditionally male-dominated industry can be particularly formidable. Waterline Data is proud to host a series of dinners in major cities in 2019 as a forum for discussing ways we can all work together to achieve a higher level of diversity in data.”

About Waterline Data

Waterline Data automates data discovery, compliance and the ability to take action on data by using a powerful combination of artificial intelligence, machine learning, ratings and reviews, and tribal knowledge to deliver an AI-driven Data Catalog. Our customers spend less time searching for data and more time using it to derive value while complying with data governance mandates such as GDPR. The company is funded by Menlo Ventures, Jackson Square Ventures, Partech Ventures, and Infosys, and implemented in large enterprises around the globe. Founded in 2013, the company is headquartered in Mountain View, California. For more, visit us via, Twitter or LinkedIn.