Kord Davis is a former Principal Consultant with Cap Gemini and has spent nearly 20 years providing business strategy, analysis, and technical consulting to over 100 organizations of all sizes including: Autotask, Microsoft, Intel, Sisters of Mercy Healthcare, Nike, Bonneville Power Administration (BPA), Northwest Energy Alliance (NEEA), Bill & Melinda Gates Foundation, Western Digital, Fluke, Merix, Roadway Express, and Gardenburger. Integrating a professional background in telecommunications and an academic background in philosophy, he brings passionate curiosity, the rigor of analysis, and a love of how technology can help us do the things we really want to do better, faster, and easier. A formally trained workgroup facilitator, he holds a BA in Philosophy from Reed College and professional certifications in communication, systems modeling, and enterprise transformation.
Webcast: An Introduction to Ethics of Big Data February 16, 2012
The material will address the intersection of ethics and Big Data; what it is and what it isn't. Specifically, how to approach and generate dialog about an abstract subject with direct, real-world implications.
"I highly recommend the balanced values and ethics based book Ethics of Big Data: Balancing Risk and Innovation by Kord Davis, to any organizational leaders, executives, managers, entrepreneurs, watchdog groups, public policy makers, and individuals who are concerned with ensuring that big data is treated and handled in an ethical manner. This book raises important questions, and offers practical and readily applicable strategies for maintaining values that benefit the customers, employees, brands and the organization as a whole."
--Wayne Hurlbert, Blog Business World
"For those dealing with big data, they need to start thinking about the ethical issues involved and Ethics of Big Data: Balancing Risk and Innovation is an excellent resource to help with that effort."
--Ben Rothke, RSA Conference
"This little book is an important addition to the Big Data literature and should be standard reading for all management and project team members before they embark on Big Data projects. It will give you a lot to think about."
--Craig S. Mullins, Data and Technology Today