Privacy Analytics Events 2019

If you’re looking to safely turn your most sensitive data assets into your most powerful business drivers then you’ll be interested in the events schedule below.

Our privacy experts are speaking across North American and Europe in 2019 and we’d love to meet you.

Events are listed in chronological order.

April 26
HIPAA Compliance Officers of Wisconsin
Glacier Canyon Conference Center
Session 201 (Privacy): De-Identification
Presenter: Angie Mohr, Sr. Account Manager, Privacy Analytics
Register here

Learn a proven approach to data anonymization that helps you comply with today’s rapidly evolving regulatory environment. You’ll walk away with practical examples of responsible data sharing.

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April 29-30
HITRUST Data De-Identification Methodology
HITRUST Corporate Office, Frisco, Texas
Presenter: Luk Arbuckle, Chief Methodologist, Privacy Analytics
Register here

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May 1 at 3:30 p.m. ET (2 hrs)
Pseudonymization and Anonymization Under the GDPR
IAPP Global Privacy Summit in Washington, DC
Presenters: Privacy Analytics CEO Khaled El Emam and Mike Hintz
Register here

Learn approaches to use and disclose data, including sensitive health information, for secondary purposes and big data projects while complying with the GDPR and without having to obtain explicit consent from every data subject.

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May 16 at 11:30 a.m. CET (in the Loft)
“Ask the Expert” Roundtable Discussion:
Turning Sensitive Data into Competitive Advantage in the Medical Device Market

The MedTech Forum 2019 in Paris
Moderator: Luk Arbuckle, Chief Methodologist, Privacy Analytics
Register for the Ask the Expert roundtable here
Meet our experts at the conference: schedule a meeting here

How should data visionaries address issues of consent and data ownership to safely drive innovation and new revenue streams in the hyper-competitive medical device market? Find out at this executive roundtable.

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May 23 at 12 p.m. ET (1 hr)
Demonstrating De-Identification in Practice
IAPP Canada Privacy Symposium in Toronto
Presenter: Sarah Lyons, COO, Privacy Analytics
Register here

Understanding the theory of de-identification is one thing; putting that theory into practice is another. In this session, we will provide examples of de-identification models in practice, guiding the audience through different deployment models and best practices for implementation.

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May 23 at 2:15 p.m. ET (1 hr)
Choose Your Own CANON! Building an Anonymization Code of Practice
IAPP Canada Privacy Symposium in Toronto
Panelist: Luk Arbuckle, Chief Methodologist, Privacy Analytics
Register here

Like a choose-your-own-adventure story, you (the audience) can pick the direction we (the Canadian Anonymization Network) take in developing an overarching framework of principles for demonstrating effective anonymization in Canada that is technologically and sectorally neutral and is ultimately acceptable to Canadian privacy regulators.

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June 5
Invite-Only Medical Device Executive Roundtable Breakfast:
Turning Sensitive Data into Competitive Advantage in the Medical Device Market
San Francisco, CA
Moderator: Luk Arbuckle, Chief Methodologist, Privacy Analytics

Discover how your peers are navigating strictly regulated environments in the U.S. and abroad to extract the optimal value in their data assets. Expect a dynamic, pitch-free conversation focused on learning and knowledge exchange.  Please contact marketing@privacy-analytics.com if you’re interested in attending.

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June 5 at 11 a.m. PST (6 hours)
June 6 at 9 a.m. PST (8 hours)
Medical Device Data Anonymization & Risk Methodology Course
Courtyard by Marriott San Francisco Downtown
San Francisco, CA
Instructor: Luk Arbuckle, Chief Methodologist, Privacy Analytics
Click here for Full Details and Registration

Learn how to responsibly share protected health information is by applying a risk-based de-identification methodology in this interactive, 2-day course.

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June 19
Invite-Only Medical Device Executive Roundtable Breakfast:
Turning Sensitive Data into Competitive Advantage in the Medical Device Market
Chicago, IL
Moderator: Luk Arbuckle, Chief Methodologist, Privacy Analytics

Discover how your peers are navigating strictly regulated environments in the U.S. and abroad to extract the optimal value in their data assets. Expect a dynamic, pitch-free conversation focused on learning and knowledge exchange.  Please contact marketing@privacy-analytics.com if you’re interested in attending.

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June 19 at 11 a.m. PST (6 hours)
June 20 at 9 a.m. PST (8 hours)
Medical Device Data Anonymization & Risk Methodology Course
W Hotel – City Center
San Francisco, CA
Instructor: Luk Arbuckle, Chief Methodologist, Privacy Analytics
Click Here for Full Details and Registration

Learn how to responsibly share protected health information is by applying a risk-based de-identification methodology in this interactive, 2-day course.

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July 30 at 1 p.m. ET (4 hours)
MIT CDOIQ Pre-Conference Workshop (Invite Only):
Doing More with Data: Moving from Operational Efficiency to Competitive Advantage
Cambridge, MA
Click Here to View the Agenda

This is an exclusive deep dive into the complex topic of bridging the gap between using your data assets to create operational efficiencies and safely leveraging sensitive data to gain competitive advantage. Over the course of the afternoon Luk, along with a collection of expert moderators from across multiple industries, will lead three interactive sessions.

Please contact marketing@privacy-analytics.com if you’re interested in attending.

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August 1 (time / room # TBC)
[Panel Discussion] Leveraging Data As Global Currency
MIT CDOIQ Symposium
Cambridge, MA
Register here

Panelists include data visionaries from Geneia, GE Healthcare, CancerLinQ, Schnuck Markets, and Privacy Analytics.

As data becomes part of the bottom line it effectively becomes a new global currency. How you manage it as part of your assets is a question. How you address data privacy is critical. What data is worth? How will you make it pay for itself? How does GDPR, CCPA or HIPAA impact your data strategy? What will be the biggest change in how Chief Data Officers manage personal data in the next five years? Come and explore these questions with us.

 

 

 

 

 

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