Artificial intelligence (AI) that takes over purchasing in companies, autonomously monitors product inventories, researches prices and triggers orders. The proactive assistant that answers emails, manages calendars and checks in for flights. Or AI-to-AI or multi-agent systems that take over the entire checkout and where all processes on both the buyer's and seller's side run entirely within an AI interface - the use of AI agents or agentic AI promises completely new possibilities. Companies, and in particular retailers, that decide to participate in this new AI-based ecosystem must above all be aware of the legal pitfalls: What are the legal rules of the game when AI suddenly negotiates and concludes contracts independently? Who is liable for what?

Artificial intelligence (AI) that takes over purchasing in companies, autonomously monitors product stocks, researches prices and triggers orders. The proactive assistant that answers emails, manages calendars and checks in for flights. Or AI-to-AI or multi-agent systems that take over the entire checkout and where all processes on both the buyer's and seller's side run entirely within an AI interface - the use of AI agents or agentic AI promises completely new possibilities. Companies, and in particular retailers, that decide to participate in this new AI-based ecosystem must also be aware of the legal pitfalls: What are the legal rules of the game when AI suddenly negotiates and concludes contracts independently? Who is liable for what?

Artificial intelligence (AI) that takes over purchasing in companies, autonomously monitors product stocks, researches prices and triggers orders. The proactive assistant that answers emails, manages calendars and checks in for flights. Or AI-to-AI or multi-agent systems that take over the entire checkout and where all processes on both the buyer's and seller's side run entirely within an AI interface - the use of AI agents or agentic AI promises completely new possibilities. Companies, and in particular retailers, that decide to participate in this new AI-based ecosystem must also be aware of the legal pitfalls: What are the legal rules of the game when AI suddenly negotiates and concludes contracts independently? Who is liable for what?

Artificial intelligence (AI) that takes over purchasing in companies, autonomously monitors product stocks, researches prices and triggers orders. The proactive assistant that answers emails, manages calendars and checks in for flights. Or AI-to-AI or multi-agent systems that take over the entire checkout and where all processes on both the buyer's and seller's side run entirely within an AI interface - the use of AI agents or agentic AI promises completely new possibilities. Companies, and in particular retailers, that decide to participate in this new AI-based ecosystem must also be aware of the legal pitfalls: What are the legal rules of the game when AI suddenly negotiates and concludes contracts independently? Who is liable for what?

In the election year 2026 of all years, numerous cultural organisations in Berlin are currently receiving mail from Investitionsbank Berlin (IBB). Five years after the coronavirus lockdown, IBB is demanding the money back that Senator for Culture Klaus Lederer used to ensure the survival of many of Berlin's cultural venues in 2020/21. The IBB's tone is gruff and the deadlines set are short. Many of the reclaims are unlawful and the Senate has so far remained silent on IBB's shirt-sleeved practices.

Episode 24 of Data Navigator, the podcast on the EU Data Act, is all about data in agriculture. Our guest is Prof Dr Reinhard Grandke, Professor at the University of Giessen and Partner at Upgrade. He is the former Managing Director of the DLG. He specialises in agriculture and we talk about the digitalisation and data-driven nature of agriculture. It's about the status quo and what will change in the agricultural industry as a result of the Data Act. Using specific examples, we will discuss where data plays a role for farmers. We will also shed light on the challenges that still stand in the way of the freer exchange of machine data. In addition, we ask what is needed from politicians and associations to maximise the use of data in the future.

Episode 24 of Data Navigator, the podcast on the EU Data Act, is all about data in agriculture. Our guest is Prof Dr Reinhard Grandke, Professor at the University of Giessen and Partner at Upgrade. He is the former managing director of the DLG. He specialises in agriculture and we talk about the digitalisation and data-driven nature of agriculture. It's about the status quo and what will change in the agricultural industry as a result of the Data Act. Using specific examples, we will discuss where data plays a role for farmers. We will also shed light on the challenges that still stand in the way of the freer exchange of machine data. In addition, we ask what is needed from politicians and associations to maximise the use of data in the future.

Episode 24 of Data Navigator, the podcast on the EU Data Act, is all about data in agriculture. Our guest is Prof Dr Reinhard Grandke, Professor at the University of Giessen and Partner at Upgrade. He is the former managing director of the DLG. He specialises in agriculture and we talk about the digitalisation and data-driven nature of agriculture. It's about the status quo and what will change in the agricultural industry as a result of the Data Act. Using specific examples, we will discuss where data plays a role for farmers. We will also shed light on the challenges that still stand in the way of the freer exchange of machine data. In addition, we ask what is needed from politicians and associations to maximise the use of data in the future.

Episode 24 of Data Navigator, the podcast on the EU Data Act, is all about data in agriculture. Our guest is Prof Dr Reinhard Grandke, Professor at the University of Giessen and Partner at Upgrade. He is the former managing director of the DLG. He specialises in agriculture and we talk about the digitalisation and data-driven nature of agriculture. It's about the status quo and what will change in the agricultural industry as a result of the Data Act. Using specific examples, we will discuss where data plays a role for farmers. We will also shed light on the challenges that still stand in the way of the freer exchange of machine data. In addition, we ask what is needed from politicians and associations to maximise the use of data in the future.

Episode 24 of Data Navigator, the podcast on the EU Data Act, is all about data in agriculture. Our guest is Prof Dr Reinhard Grandke, Professor at the University of Giessen and Partner at Upgrade. He is the former managing director of the DLG. He specialises in agriculture and we talk about the digitalisation and data-driven nature of agriculture. It's about the status quo and what will change in the agricultural industry as a result of the Data Act. Using specific examples, we will discuss where data plays a role for farmers. We will also shed light on the challenges that still stand in the way of the freer exchange of machine data. In addition, we ask what is needed from politicians and associations to maximise the use of data in the future.

Episode 24 of Data Navigator, the podcast on the EU Data Act, is all about data in agriculture. Our guest is Prof Dr Reinhard Grandke, Professor at the University of Giessen and Partner at Upgrade. He is the former managing director of the DLG. He specialises in agriculture and we talk about the digitalisation and data-driven nature of agriculture. It's about the status quo and what will change in the agricultural industry as a result of the Data Act. Using specific examples, we will discuss where data plays a role for farmers. We will also shed light on the challenges that still stand in the way of the freer exchange of machine data. In addition, we ask what is needed from politicians and associations to maximise the use of data in the future.