WITI Hall of Fame

2017 Inductees


Beena Ammanath Beena Ammanath
Global VP—Artificial Intelligence/Data/Innovation, Hewlett Packard Enterprise

Laura Niklason, M.D., Ph.D. Laura Niklason, M.D., Ph.D.
Founder, Humacyte

Krunali Patel Krunali Patel
VP and GM of Analog Design Services, Texas Instruments

Lisa Seacat DeLuca Lisa Seacat DeLuca
Technology Strategist, Cognitive Incubation Lab, IBM Watson Customer Engagement

Selma Svendsen Selma Svendsen
Senior Director of Program Management, iRobot

Elizabeth Xu, PhD Elizabeth Xu, PhD
CTO and SVP of Technology, BMC Software



Previous Inductees


  2018

  2017

  2016

  2015

  2014

  2013

  2012

  2011

  2010

  2009

  2008

  2007

  2006

  2005

  2004

  2003

  2002

  2001

  2000

  1999

  1998

  1997

  1996

Featured Profile


Beena Ammanath

Beena Ammanath

Global VP—Artificial Intelligence/Data/Innovation, Hewlett Packard Enterprise

Inducted in: 2017

Beena is an award-winning, senior, digital-transformation leader with extensive global experience in artificial intelligence, big data, data science, and IoT.

Her knowledge spans across e-commerce, finance, marketing, telecom, retail, software products, and industrial domains with companies such as Hewlett Packard Enterprise, GE, Thomson Reuters, British Telecom, Bank of America, e*trade, and many Silicon Valley startups.

She is the global vice president for big data, artificial intelligence, and innovation at HPE. She was the vice president of innovation at GE.

She is the founder and CEO of nonprofit, Humans For AI Inc., and she is the co-author of "AI Transforming Business."

Beena has honors for her contributions to tech and her philanthropic efforts. Her awards include: the "San Francisco Business Times’" 2017 Most Influential Women in the Bay Area; National Diversity Council’s Top 50 Multicultural Leaders in Tech; CIO.com and Drexel University’s Analytics 50 Innovators; "Forbes’" Top Eight Female Analytics Experts and Women Super Achiever from World Women’s Leadership Congress.

Beena thrives on envisioning and architecting how data, artificial intelligence, and technology can make our world a better, easier place to live.

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