Synopsis: Privacy by Design (PbD) is more than just a compliance requirement, it's a competitive advantage. This lecture will explore how to seamlessly integrate privacy into every phase of product development and business operations, transforming privacy from an afterthought into a core business driver. Participants will discover practical strategies for embedding data protection into software development, customer interactions, and everyday workflows.

Synopsis: This lecture will focus on the complexities medium-sized IT companies face when transferring data internationally. It will address key business challenges, such as navigating diverse data protection laws, like GDPR, and regulatory requirements in different jurisdictions. Specific attention will be given to managing compliance, ensuring data security and the growing importance of Transfer Impact Assessments (TIA) for safeguarding cross-border data flows.

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Synopsis: The controller must take all available measures to preserve the integrity and confidentiality of the processed data. However, if there appears a breach of data security, Controller has several legal obligations that must be fulfilled. These obligations include documenting and analyzing the personal data breach, and in some cases notifying the supervisory authority and data subjects. Through normative provisions and practical examples, participants will discover what personal data breaches represent, and how to handle these unwanted situations.

Synopsis: This lecture explores the regulatory landscape of the General Data Protection Regulation (GDPR) within the European Union, focusing on the mechanisms of enforcement and the structure of penalties for non-compliance. We will examine the role of Data Protection Authorities (DPAs) in overseeing and enforcing GDPR, including their investigative powers, corrective measures, and fines.

Synopsis: This lecture delves into the critical intersection between artificial intelligence (AI) and data privacy, offering insights into how companies can innovate responsibly while staying compliant with GDPR and emerging privacy laws. As AI systems evolve, so do the challenges of protecting personal data. This session will explore key regulatory considerations, potential risks, and practical strategies for developing AI systems that prioritize privacy.

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