Important, but not yet urgent. The Corona crisis raises the topic of digitization overnight to the highest degree of urgency. Well-functioning remote working not only needs good WLAN, but above all it requires a high degree of digitized processes in the company. And here German companies have a lot of catching up to do.
You can read why it is important to tackle the topic of digitization in my new article in the trade journal Lohn & Lohn 04/2020 Download
Artificial intelligence (AI) is rapidly changing the world of work. However, the new technological possibilities also come with legal challenges. How can companies implement AI successfully and legally? What legal regulations need to be observed, and how can compliance and data protection be reconciled?
In my interview with Barbara Schmitz, a lawyer and expert in IT and data protection law from Munich, we clarify the most important questions regarding the introduction of AI in companies. She provides insights into the legal foundations, practical tips for businesses and explains why AI skills and training should be a key focus for businesses in 2025.
Listen to the interview in episode 9 of THE PAYROLL PODCAST to find out how you can best prepare your company for the future of AI and introduce AI in your business in a legally compliant way.
In episode #7 of the DER Payroll Podcast, my guest is Uwe Klappich, Cluster Lead for Payroll Technology at SD Worx. We talk about the use of artificial intelligence (AI) and innovations in payroll. Klappich, who is leading the development of a new in-house payroll software, explains how this technology can make work processes more efficient and what opportunities and challenges it presents for companies and payroll accountants.
Sabine Katzmair: Mr Klappich, do you personally already use AI applications such as ChatGPT or other tools in your daily work?
Uwe Klappich: Yes, definitely! I use ChatGPT and Gemini from Google, but only privately so far. AI tools like these are extremely practical for finding answers quickly, developing ideas and discovering alternative perspectives. Of course, it’s a bit more complicated when it comes to business data. Data privacy and security are very important, so I don’t use external AI applications for our company data yet. But I use AI almost every day in my personal life. The ability to ask questions and then tailor the answers to my needs is really helpful. For example, you can generate more polite or more detailed answers – this saves time and provides new ideas.
