About the Seminar
This event is created for Digital Business executives who are charged with collecting, protecting, analyzing and leveraging data. In the age of Digital buying and selling, it is imperative to create Data Governance best practices and guidelines and to then ensure these protocols are upheld to the highest degree possible. "DATA: Privacy, Ethics, Trust and Money” has been designed to educate professionals on this continuously changing landscape.
Session Topics Include
Who Should Attend
Expected titles include:
Earn Recertification Credits
Earn up to 11.5 CPE credits
Information Technology; Regulatory Ethics; and Behavioral Ethics
Requirements: Attendees must sign-in each day for full credit. Delivery Method: Group-Live; Program Level: Intermediate, Prerequisites: Bachelor’s degree or higher, Advanced Preparation: None
This program has been approved for 10 (BUSINESS) recertification credit hours toward aPHR, PHR, SPHR, PHRca, GPHR, PHRi, and SPHRi recertification through the HR Certification Institute (HRCI). For more information about certification or recertification, please visit the HR Certification Institute website at www.hrci.org.
This program has been pre-approved for 10 PDCs for the SHRM-CP or SHRM-SCP. For more information about certification or recertification, please visit www.shrmcertification.org.
This program has been approved for 10 IAPP CPE credits.
The Compliance Certification Board (CCB)® has approved this event for up to 10.5 live CCB CEUs. Continuing Education Units are awarded based on individual attendance records. Granting of prior approval in no way constitutes endorsement by CCB of this event content or of the event sponsor.
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1. Download the Agenda
To learn more about sessions and speakers, download the latest agenda.
Register early and save $100. Offer ends September 28, 2019.
One discount per registration. Multiple discounts may not be combined.
3. Get Involved
If you would like to get involved in this year’s seminar, please contact us.
Three simple questions, three complicated issues for every organization that depends on data. As data needs increase, so does the need for aggregation, a plan for data audits, and a dedicated executive whose job is the management of digital information.
Using data to mine, identify, and target customers online is effective—until it’s not. We discuss:
Every organization has unique needs in terms of the technology they leverage to achieve their goals. We discuss:
Human decision-making versus machine-learning algorithms: how do you achieve balance? Is it possible for a company to have access to too much data? We discuss:
Some companies are ahead of the curve, leveraging digital technology for maximum impact while remaining mindful of ethical and legal pitfalls. Case studies will include State Farm’s “Drive Safe and Save” campaign, which uses telematics to track driving behavior. Issues discussed include:
Kindbody is redesigning the women’s health and fertility experience in brick-and-mortar, mobile, and virtual settings. We'll discuss how software and data can be used to systematize a traditional services business to deliver a higher and more consistent standard of care.
Pioneers in data and the customer journey are doing good things for customers and doing well in the process. We discuss E-commerce and spotlight industries that are using their knowledge of consumers to maximize their experience, in a win-win scenario. Understanding the customer journey
We distinguish types of data, debunk buzzwords, and offer a basic short course in AI for non-AI experts. You’ll learn about privacy, training, the art and the science of data in this fascinating and mystifying field:
Dr. Aminian’s research interests include artificial neural networks, machine learning, quantum electronics, quantum computing, quantum mechanics, quantum collision theory and semiconductor devices.
Managing cyber risk takes a joint effort from the chief information officer, risk management, and cyber security. We discuss practical approaches to this multilayered defense. You will learn to:
When humans interact with machines, they do not leave ethics behind. The algorithms that power AI, like human beings, are value laden. We examine possible ethical codes and frameworks for AI, envision potential ethical dilemmas, and show you how to take the right risks for the right reasons.
December 02, 2019 | Key Business Issues
November 18, 2019 | Conference KeyNotes