BrainStation Technology
JUNE 4, 2019
In a relatively short period of time, big data has become a big business in professional sports. The market for sports analytics is expected to reach almost $4 billion by 2022, and teams around the world are racing to find a competitive advantage. And big data played a big role. .
TechCrunch
SEPTEMBER 20, 2022
Despite representing 10% of the world’s GDP, the tourism industry has been one of the last to embrace big data and analytics. ” Zartico launched in March 2020 — one week prior to most of the world shutting down due to the COVID-19 pandemic. conflict zones, protests, religious sites, clinics, etc.) or to places.”
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TechCrunch
JUNE 30, 2022
While founded long before the pandemic, Steve King says that Black Swan Data , the data science and tech company that he helped co-launch in 2011, is well-suited to the current environment. Prior to co-founding Black Swan, King was a technical director at creative agency Digital Jigsaw. to start Black Swan. .”
Trigent
OCTOBER 28, 2021
Companies have started empowering these experiences through emerging technologies. Big data and artificial intelligence will create the most dramatic change, redefining how the industry can connect with all stakeholders and drive growth. Improved entertainment quotient in sports broadcasting. Assess AI maturity.
Cloudera
SEPTEMBER 22, 2021
During this Partner Perspective interview, Cloudera’s Alvin Heib seizes the opportunity to speak with Benjamin Krebs, General Manager of Technology Enterprise in Germany. The sector he manages, Technology Enterprise, generates approximately $1 billion a year. Benjamin describes his work as big business and as big fun.
Capgemini
JANUARY 9, 2024
“Sustainability is a team sport, a comprehensive issue that requires thinking and input from myriad partner ecosystems and every facet of consulting,” Sossa says. “At How about technology? Which tech trends should people follow in 2024? Obviously, the big phrase at the end of 2023 was “generative AI.”
O'Reilly Media - Data
JUNE 5, 2018
In other words, “The gap between ambition and execution is large at most companies,” as put by the authors of an MIT Sloan Management Review article. Data science bootcamps are great for learning how to build and optimize models, but they don’t teach engineers how to take them to the next step.
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