- Top 8 Data Science Use Cases in Gaming - Apr 3, 2019.
The understanding of the data value for optimization and improvement of gaming makes specialists search for new ways to apply data science and its benefits in the gaming business. Therefore, various specific data science use cases appear. Here is our list of the most efficient and widely applied data science use cases in gaming.
- Crystal Dynamics: Data Scientist [Redwood City, CA] - Sep 20, 2018.
Crystal Dynamics is seeking a Data Scientist in Redwood City, CA, to work alongside Production, Marketing, Community, and Engineering to deliver advanced analytics.
- Interview: Vince Darley, King.com on the Serious Analytics behind Casual Gaming - Mar 18, 2015.
We discuss key characteristics of social gaming data, ML use cases at King, infrastructure challenges, major problems with A-B testing and recommendations to resolve them.
- Interview: Josh Hemann, Activision on Taming the Beast of Gaming Big Data - Mar 11, 2015.
We discuss Analytics challenges at Activision, event data from games such as Call of Duty, balancing aesthetics and inference in visualization, problem with stacked charts and more.
- Interview: John Funge, CTO, Knack on Why Gaming is the Next Big Thing for Hiring - Aug 18, 2014.
We discuss the gamification of hiring, founding story of Knack, applications of Predictive Human Analytics, challenges, Big Data tools and technology used, key qualities sought in data scientists, career advice and more.
- Gaming Analytics Innovation Summit: Day 2 Highlights - May 30, 2014.
Highlights from the presentations by Gaming Analytics experts from Ubisoft, Electronic Arts, Sega on Day 2 of Gaming Analytics Summit 2014.
- Gaming Analytics Summit 2014: Day 1 Highlights - May 29, 2014.
Highlights from the presentations by Gaming Analytics experts from Activision, Valve, Microsoft and Broken Bulb Studios on Day 1 of Gaming Analytics Summit 2014.
- Is data mining the new tool for gamers seeking pre-launch secrets? - Feb 20, 2014.
Despite great data analytics capabilities, gaming companies are facing an interesting data mining challenge from an unexpected end – their audience.