Analytics is a broad subject area, but analytics in decision management has traditionally been a slow, artisanal process to create artifacts useful to rules engines at runtime. Those artifacts were created using techniques of data mining, predictive analysis and sometimes, optimization algorithms. But with the emergence of massively distributed processing grids, unstructured data and Hadoop, analytics has become something new - data science.
In this talk we'll discuss what the nature of data science and data scientists is, and apply some perspective on how it should and ultimately will affect your decision processes, both manual and automated.
Great strides have been made informing decisions with analytical processes. However, the challenge of analytics is communication and creating a shared understanding. It’s about focusing on high impact areas, moving forward one step at a time, being skeptical, being creative, searching for the truth.
Any company can compete on analytics.
Neil will moderate the CTO Panel: