Sep 9–12, 2019
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Loretta Cheeks

Loretta Cheeks
CEO, Strong TIES


Loretta H. Cheeks is the CEO of Strong TIES, an AI expert, and data science consultant. At the nonprofit Strong TIES, she’s helped organizations gain dynamic data insights serving enterprises, governments, and nonprofits. Loretta is on a mission to create a better world with technology. She is a STEAM advocate, developing, deploying, and leading various teams within the communications, avionics, instrumentation and control, and chemical industries for Fortune 500 corporations. She was the first to identify a computational approach for the discovery of news frames in unstructured text (e.g., online news articles). She’s demonstrated a unique ability to integrate communication theory and computer science methods to inform the fields of machine learning, psychology, and mass communication. Loretta is also committed to improving higher education for underserved and underrepresented communities to follow in her scientific footsteps. She’s listed among “10 Incredible Black Women In STEM,” featured by Verizon on the International Day of Women and Girls in Science, recognized as a Change Maker at the White House, and is a member of the NASA Datanauts. She regularly appears among thought leaders in conferences, peer-review publications, workshops, and speaking engagements in the world. Loretta earned a bachelor’s and master’s of science degree in computer science from Southern University, a master’s in technology management from the University of Phoenix, and a PhD in computer science from Arizona State University. She was born in Baton Rouge, Louisiana.


4:00pm4:40pm Thursday, September 12, 2019
Location: Santa Clara Room (Hilton)
Loretta Cheeks (Strong TIES)
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Loretta Cheeks provides the language and framework to talk to experts and executives. You'll gain insights into ways to use machine intelligence for shedding light on complex dynamic real-world issues and understanding the embedded biases that exist in news articles (unstructured text). Read more.
  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dataiku
  • Dell Technologies
  • Intuit
  • Gamalon
  • Hewlett Packard Enterprise
  • MapR Technologies
  • Sisu Data
  • Intuit

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