Data protection is an important element of the insights and data analytics sector. In this session, join Carolina Fairbanks for the latest news regarding the LGPD, Brazil's new data protection law. We will cover what you need to know about the law, as well as tips on what you can do to get started on compliance.
Latest updates and a tool-kit of pragmatic pandemic recommendations.
The first part of this session will focus on Data Privacy Updates in the region, why is this so important right now and how ESOMAR can help you! Get ready for a bulk of great tips and practical recommendations from our Government Affairs & Professional Standards Team.
Join our expert guides from the ESOMAR Professional Standards team as they lead you through the most significant updates in the world of privacy and data protection, the impact this may have on your business and operations, and what this means for our industry.Get ready for a bulk of great tips and practical recommendations with specific focus on data privacy in India, China, Japan, Australia and beyond.
Machine Learning algorithms are born as a solution to a problem. Once we feel comfortable with a prototype, there is still a long path to its deployment...and it is rarely a smooth one. We would like to share our experience transiting that path.
Machine Learning algorithms are born as a solution to a problem. Once we feel comfortable with a prototype, there is still a long path to its deployment...and it is rarely a smooth one. We would like to share our experience transiting that path.
Last year at Congress, HERE Technologies and BuzzBack presented a transformative look at consumer perceptions of data privacy and collection. This year, HERE Technologies and Buzzback, in partnership with ESOMAR and Cint, revisit the topic with a new global study across 12 markets that demonstrates, for brands, poor ethical and transparent data collection has a far-reaching impact on the bottom line.
The purpose of the Duty of Care Guideline is to advise researchers and the organisations in which they work on their responsibilities to protect the privacy and well-being of data subjects. It provides organisations with flexibility to formulate their own solution to mitigate and address the risks inherent to the type of research they may conduct or commission.
Online behavioral data is a valuable source of insights for researchers. However, data collected passively via tracking meters contains Personal Identifiable Information (PII). With the GDPR into force, the value of online behavioral data is constrained by the risk of disclosing PII. We present a machine-learning solution that significantly reduces the risk of revealing PII when sharing browsing data.
Online behavioral data is a valuable source of insights for researchers. However, data collected passively via tracking meters contains Personal Identifiable Information (PII). With the GDPR into force, the value of online behavioral data is constrained by the risk of disclosing PII. We present a machine-learning solution that significantly reduces the risk of revealing PII when sharing browsing data.