Chris Infanti is a Senior Engagement Manager in WWT’s Business and Analytics Advisors practice. His main focus for the group has been new business development and customer project delivery in the big data space. For the past 10 years, Chris has managed predictive analytics, data warehousing and software projects across industries as diverse as financial services, city government, education, transportation and retail. Chris hold’s a Bachelor’s degree in Mathematics and English Literature from Georgetown University.

Q&A with Chris Infanti

Tell us about your background and how you got into technology.
Like many children of the 80’s, my first introduction to technology was through video games — first just playing them, followed closely by building my own PC to keep up with the latest releases. That, combined with my father’s work for a large electronics company growing up, meant that technology was never far from my mind.

After studying Mathematics and English Literature in college, I immediately jumped into the analytics space delivering large-scale data warehousing projects from a leading systems integrator. After that, I moved to a big data software and science firm, managing projects for customers across a wide variety of sectors before making the move to WWT in 2014.

What is your role at WWT?
My role, like most others in our practice, is two-fold: working with customers to develop opportunities to collaborate with WWT on big data, and managing the delivery of proofs of concept and projects for our customers. Some specific areas of focus for me are cloud, GPU-powered analytics, AI, data governance, and data science.
What innovation is happening in big data and cloud that has you really excited?
The rise of self-service analytics and data science will really create a revolution in most enterprises. With an exponentially growing and diverse amount of information being collected from traditional systems, IoT sensors and social media, it is no longer reasonable to expect that a small handful of gatekeepers in IT can handle the demand for insights from this data. A number of exciting technologies are emerging that allow business users to circumvent this process, performing data preparation, analysis and quality with minimal involvement from IT. This so-called “democratization” of data is essential for deriving insight at the speed business demands.
Describe a recent interaction with a customer that led to solving a problem.
Customers often know they want to start using big data in their organization, but they need help figuring out where to get started.  A recent example was a big data strategy project we did for a major U.S. city. We interviewed people across 12 departments, including public works, police, fire-rescue and code compliance to understand their business use cases, and then translated them to potential big data projects. The use cases covered a wide variety of areas, including predictive modeling for blighted neighborhoods and preventative maintenance for water pipes from sensor data. In addition, we were able to put these needs in the context of a larger technology and organizational roadmap. In general, we bring a lot of value to customers by jump starting their big data initiatives through a roadmap and proofs of concept in our Advanced Technology Center.