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Hi, we’re Infosys

We are 200,000 bright, curious innovators representing 124 nationalities and a wide range of talents, roles and abilities.

Infosys is a global leader in consulting, technology and next-generation services and our clients represent some of the world’s most interesting and purposeful companies.

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What is Sit With Me?

Sit With Me is a campaign promoted by the National Center for Women & Information Technology (NCWIT), a nonprofit organization community of more than 600 universities, companies, non-profits, and government organizations nationwide working to increase women’s participation in computing and technology. Infosys partners with NCWIT as part of its efforts to increase diversity in our workforce.

What is the deal with the red chair?

The iconic red chair is a powerful visual symbol of the Sit With Me campaign, which has featured celebrities from Oscar-winning actress Meryl Streep to basketball legend Shaquille O’Neill to Facebook COO and author Sheryl Sandberg.

The chairs offer a statement about sustainability as well as diversity. Each chair is made from 111 recycled PET bottles and was designed in collaboration with Coca-Cola.

Funds from the purchase of the official red chairs go towards NCWIT programs, research, and resources that support women working in technology and computing.

Why is Infosys involved?

Infosys has adopted Sit With Me as a reminder of the significant goals we have as a company to increase the participation of women across our organization, especially at the most senior levels. Our goal is to have 25% of our leadership to be composed of women by 2020. Our leadership – starting with our CEO and all of our management team – are taking a strong stand to drive this effort across our company. Check out the video for views from Infosys people around the world.

Meet some Infosys women:

What do they do? What (and who) inspires them?

She Definitely Will!

Shyh-Mei Ho, Associate Vice President, Enterprise Architecture, Infosys

As a girl in Taiwan, I was a bit of a dreamer. I loved literature and I thought I might become a writer.

But my sister encouraged me to pursue science. She went to the U.S. to get her PhD. in physics. I wasn't sure about going to the U.S. or science actually, but my mother also thought it would be a good idea for me to follow in her footsteps. So I came to Temple University in Philadelphia in my early 20s to study biophysics.

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Thinking in Three Dimensions

Holly Benson, Vice President and Partner, Organizational Transformation, Infosys Consulting

As a Partner in Infosys Consulting, I’ve spent the past 11 years helping Infosys clients master the human challenges that accompany technology change. So I’m not a technology inventor or implementer – instead, I’m a change management professional who deals with the effects of technology on human systems.

Looking at human systems is a three-dimensional problem – you have to be able to see far-reaching effects of apparently-simple actions and decisions.

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Diversity Rocks

Davina Linguist, Diversity Program Recruiting Manager

I grew up in Chicago as the second of five children. I spent most of my adult life in Las Vegas before moving to Texas. I am married with four adult children and a granddaughter. I try to keep things simple and love family and giving back to my community and church.

Today I am a Certified Diversity Professional, with a Bachelor’s degree in Business Management, a Certified Internet Recruiter with an Advanced HR Certification from UNLV, and I am currently pursuing a Master’s Degree in Human Resources. I have over sixteen years of experience in recruiting, compliance and human resources.

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Beyond Pixels

April Wang, Principal - Experience Design, Infosys

I'm a designer here at Infosys.

Most people who think about designers picture someone working on computers, designing screens, working with pixels, colors, and text. Of course I do these things, but that's not necessarily what a designer does.

For example, one of the projects we are working on at the moment is about trying to build sensors to gather data from plant growth. We are using machine learning to figure out the different variables - such as pH value, nutrients, and watering schedule - to see what the optimal values for all components are.

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My typical day at Infosys

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