Department heads painstakingly compile reports and analyses filled with data which are sent to executives every week. The pages are barely skimmed, if read at all.
Network and security operation centers line the walls with giant screens, displaying dashboards powered by expensive big data analytics. No one ever takes more than a passing glance on the way to lunch.
If data is so essential, why is it so easily ignored?
Data does not speak for itself. In this talk, we will discuss the difference between data and information. Starting from the first principles of statistical inference and machine learning, we will discuss why many data initiatives fail to make a real impact. We will provide practical suggestions on how to choose which initiatives to invest in, and how to use data to deliver useful and interpretable information.
Clare Gollnick is the Director of Data Science at NS1, an industry-leading DNS and traffic management platform. An expert on statistical inference and machine learning, Clare writes and speaks often on the intersection of data, philosophy, and entrepreneurship. Previously as CTO of Terbium Labs, Clare led a diverse team of engineers and researchers, releasing novel data intelligence solutions that prevent credit card fraud while still protecting consumer privacy. Originally trained as a neuroscientist, Clare has published a number of academic papers on information processing within neural networks, validation of new statistical methods and the philosophy of science. Clare holds a PhD from Georgia Tech and a BS from UC Berkeley.
- Pizza and socializing begins @ 6:45
- Talk begins @ 7:00 followed by Q&A
- A little extra socializing after the event