The collaboration promotes San Diego as a hub for artificial intelligence, machine learning and predictive analytics

As artificial intelligence, machine learning and predictive analytics become more efficient and more useful for businesses, data science is becoming an increasingly crucial field to study.

That's why Viasat has partnered with UC San Diego's recently established Halıcıoğlu Data Science Institute (HDSI). The company recognizes the growing need for data scientists, analysts and engineers and wants to help foster the education of those venturing into the new field.

Kristi Jaska, Viasat Vice President of Engineering, said corporate engineering determined that analytics is one important area across the entire company.

'It's a myth that Silicon Valley is the only place to do data science. That's why we want to elevate the San Diego region as a data science hub and compete for the best talent, while we continue to build on our reputation of being an employer of choice for data science and engineering. -Ben Wilson

'We are a data-driven company,' Jaska said, 'The need for data science is so pervasive across our business areas, even outside of engineering. We're doing well, but we want to stay on the cutting edge. And we want to see what's going on at universities to attract more talent in that area.'

Jaska noted that Viasat is not just using data to improve its products and services, but has evolved to include data analytics in its efforts to improve its business development. The company is increasing its marketing and market research capabilities, she said, which is especially important during its global expansion.

Understanding consumer behavior, like a residential internet customer's intention to inquire about service, is important for implementing new tools like chatbots or other virtual agents, Jaska said. And as the company is flooded with data from user interface/user experience (UI/UX) work, data scientists are needed to analyze the pieces and provide fact-based results that will help inform company decisions.

Ahead of the curve

Data analytics at Viasat is ahead of the curve, said Eliot Weitz, Viasat's Chief Data Officer. The company had data scientists before programs and majors for them existed in academia. The current data science team's average industry experience is several years, he said, which is rare to find.

'We invested in it over eight years ago and have had great returns, and are now constantly seeing how data and automation has been profitable for the company,' Weitz said.

Eric Liu, product owner of Viasat's Global Mobile Broadband services' data analytics team, agrees that Viasat's investment in data science has made the company stand out. He said Viasat is already doing a better job of adjusting its network by understanding the way customers use it.

Analyzing what internet users need from the network allows Viasat to 'differentiate our offerings from the competition,' Liu said. The company can discern what sort of value-added services customers would find the most appealing. For example, when Viasat sells its internet packages to an airline, it can offer a plan that's optimal for what a person wants from in-flight Wi-Fi, based on the data analysis the company has conducted.

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ViaSat Inc. published this content on 12 August 2019 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 12 August 2019 11:35:01 UTC