In the highly competitive video game industry, keeping players engaged and loyal is crucial in capturing a major share of this lucrative market. Doing so involves using big data analytics to harness innovation and understand what players expect.
Although the weather can frequently be the go-to topic when engaging in small talk, it is very much intertwined with deeper discussions around the environment, global warming, and reducing carbon emissions. A rising tide of sensor-derived, Internet of Things data is now fueling a worldwide focus on
Data engineers have much to learn from water management professionals, who have mastered the art of keeping filtered water on tap—ready at a moment’s notice. As information volumes begin to deluge data repositories and outpace traditional approaches, data professionals must use every tool at their
Stream computing combines data streams with an increasingly broad range of applications designed to help businesses solve problems of all kinds. Learn more about how you can capture data streams and infuse them into your applications.
Organizations that have built a data-driven culture are seeing gains in efficiency and capability that are allowing them to become leaders in their industries. Learn how you can begin integrating data science into your organization, enabling new ways of activating data as part of an enterprise-wide
The world’s a risky place. And yet the human race has become very adept at risk mitigation in the face of every nasty thing it might throw our way—or that we may hurl at each other. Discover how social sentiment, beliefs and practices that perpetuate environmental risk factors can play a
Do you strengthen your relationships with your customers by plugging them into your data? In this webcast, learn how you can use your data to disrupt your marketplace and engage your customers over the long term.
What happens when you combine training, best practices, success sharing, mentoring, inspiration and a rock concert? You get an incredible immersive data science experience that benefits and thrills both new and experienced data scientists.
The first Datapalooza has just wrapped up, but it was just the beginning. Stay on the lookout for Datapalooza’s arrival to a city near you—you won’t want to miss your chance to kickstart your entry into the insight economy.
Kernel-based learning methods form the foundation of an important approach to machine learning, particularly as relates to text classification. Several kernels that are especially notable for their usefulness in text mining also hold potential for other advanced analytics applications.
Text mining is becoming an increasingly vital tool for gaining insight from all the text data that flows over the Internet. This overview describes the basic steps of text mining methods and shows how machine learning techniques can help parse natural language processing.
The craft of data science demands expert judgment every step of the way. See how data scientists can adopt a standard data science methodology that can harmonize steps among diversified teams for applying core concepts of data science, analytics and data management in the data science lifecycle.