Many marketing concerns have seen the light when it comes to the application of big data analysis as a means of outthinking the competition. Discover three best practices for implementing big data analytics for good data science in marketing initiatives.
Andrew Oliver is president and founder of Mammoth Data (formerly Open Software Integrators), a large data consulting firm based in Durham, North Carolina. In this interview, join Andrew and IBM data science evangelist James Kobielus for an enlightening discussion about doing data science in the
The success of next-generation data science initiatives depends heavily on teamwork from the right mix of application developers, business analysts, data engineers, statistical modelers and other specialists. Discover more about the composition of high-quality data science collaboration through the
The IBM Virtual Finance Forum 2016 is designed to help finance organizations apply analytics in management decision making to anticipate and shape business outcomes more effectively. With online sessions and keynotes, finance professionals will learn how IBM helps their organizations apply
Joe Caserta is founder and president of Caserta Concepts, a New York–based innovation technology and consulting firm that specializes in big data analytics, data warehousing, ETL and business intelligence. Don’t miss this enlightening discussion between Joe Caserta and IBM data science evangelist
Analytics enables banks to comply with regulations and reduce the risk of fraudulent practices in four major areas. These innovation-driving areas include identifying suspicious transactions, staying within the law to uncover predatory lending practices, defending against online threats and
Chris Maddern is cofounder of Button, the leading marketplace for app connections. Before starting Button, Chris led mobile engineering for popular social payments network Venmo and founded several mobile products startups. Learn more in this interview as Chris talks with IBM data science
Consumers want their banks to know them well, and they are more than willing to partner with their financial institutions to help that happen. But many banks are finding that businesses such as Amazon, Google, Uber and AirBNB are meeting consumers’ desires better than they are, even though
Join IBM data science evangelist James Kobielus and Dave Saranchak, a data scientist with Elder Research, to discover how Dave develops and applies statistical data modeling techniques for national security clients.
Technologies are much better than they were previously. In the past, we'd know when an event had happened. Now, problems related to events can be anticipated. For an interactive demo and purchasing information: http://ibm.co/insight-for-banking
Join IBM data science evangelist James Kobielus as he interviews Jennifer Shin, the founder of data science, analytics and technology company 8 Path Solutions. A recognized thought leader, Jennifer is a data science contributor for the IBM Big Data & Analytics Hub.
To ensure data science success, you need to provide data scientists with an environment that is open, engaging, and fosters collaboration. To explore how your data scientists can access all the open functionality and expertise they’ll need for critical projects, join the new Data Science Experience.