07th May 2024
Data protection in online trading

Data protection in online trading

It's crucial, that users’ personal data is protected, to protect their privacy. Many online retailers therefore rely on encryption technologies and strict security measures, to protect their customers’ data. Still, it's important to note, that absolute security cannot be guaranteed. It is also the responsibility of the users, to protect your data carefully, by using strong passwords and being careful with your personal information. Data protection in online trading is an extremely important issue. Lawyer Dipl.-Ing. Michael Horak, LL.M. Privacy policies should be transparent and provide users with clear information about them, how your data is used. It is also important, that users have control over their....

27th Nov 2023
Outsource to external service providers through IT outsourcing

Outsource to external service providers through IT outsourcing

IT outsourcing is a process, where companies or organizations outsource their IT tasks to external service providers. This can include a variety of IT tasks, such as the development of software, the management of networks, maintaining hardware and supporting end users. There are many reasons, why companies consider IT outsourcing. horak. LAWYERS/ LAWYERS / PATENT ATTORNEYS Just give us a call. We are happy to help. One of the main reasons is cost savings. By outsourcing IT tasks, companies can reduce the costs of hiring and training IT staff. In addition, they can benefit from economies of scale, that arise through collaboration with an IT service provider. Another advantage of IT outsourcing....

26th Oct 2023
What regulation for artificial intelligence is the EU planning??

What regulation for artificial intelligence is the EU planning??

The European Commission has a white paper on artificial intelligence (Of) published. This white paper provides a comprehensive strategy and proposal for regulating AI in the European Union. Key elements of the White Paper included:: Classification of AI systems: The white paper proposed classifying AI systems into different categories, based on their risk level. This involved high-risk AI systems (with. B. autonomous driving, Healthcare) and lower risk for AI systems (with. B. Chatbots) differentiated. Regulation of high-risk AI systems: Stricter regulatory requirements have been proposed for high-risk AI systems, including certification requirements, transparency- and documentation requirements as well as clear regulations for monitoring and testing these systems. Data access and data provision: The white paper also emphasized fair access to data and....