Access and Feeds

Navigating Data Privacy: A Balancing Act

By Dick Weisinger

There is increasing conflict between data privacy and the training of data-based applications. This conflict presents a complex challenge. Companies are increasingly collecting and analyzing data to drive business decisions, improve customer experiences, and innovate. However, doing this has significant implications.

The proliferation of data collection tools has led to a surge in the amount of personal data being processed. This has raised ethical and legal issues, as different industries, organizations, and governing bodies view the issue of data privacy differently. As a result, it can be challenging for governing authorities to enforce legal requirements.

The implications of these practices are far-reaching. For instance, the misuse of personal data can lead to identity theft and other forms of cybercrime. Moreover, the lack of transparency in data collection and processing practices can erode consumer trust.

There may be some resolution of the conflict in the near term though. One key trend is the continued enforcement of privacy regulations. In 2023, violations of the General Data Protection Regulation (GDPR) cost companies over 2 billion euros. As such regulations continue to evolve, businesses can expect heightened scrutiny, amplifying the negative consequences of any mishandling of data.

Another promising development is the increased focus on children’s privacy. Legislative measures dedicated to children’s privacy are making progress. Furthermore, the European Parliament is considering efforts to strengthen online age verification methods for children.

Lastly, the advent of privacy-enhancing computation (PEC) techniques is expected to revolutionize data privacy. PEC protects data in use, allowing organizations to implement data processing and analytics that were previously impossible due to privacy or security concerns. By 2025, it is predicted that 60% of large organizations will use at least one PEC technique in analytics, business intelligence, and/or cloud computing.

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