Big data has become a ubiquitous term across disciplines – from energy to politics to gaming – but there are few experts who can pinpoint (or better yet, explain) its definition.
Today, “big data” has two different meanings depending on the context and who you are talking to. First, big data refers to the technologies that allow one to capture, store, process, and retrieve huge amounts of data. The second meaning of big data refers to the data itself, which is growing at an increasing rate and diversity. This is especially true with more and more consumers turning to social media to “like” a brand, voice their opinions, review products/services and engage with their favorite content.
Somewhere in between the “big data” definitions is what you need to know as a financial service executive, in order to realize the value of big data analysis and to speak intelligently about the topic. This session will clear up some big data myths, and provide real-world examples of how to leverage social media data. Dr. Wu will also describe a few key baseline concepts that you need to know in order collaborate successfully with data scientists and create amazing stories or business results of your own.
An additional fee of $99 is applicable in order to attend. Must be a paid registered attendee to qualify.