With Nextra Insights, we shed light on current topics, classify complex relationships and provide food for thought for sustainable action – from deep dives to articles about AI applications in the sustainability context. For anyone who wants to keep an eye on future topics at the interface of sustainability and AI.
What companies need to consider now regarding the Carbon Border Adjustment Mechanism The European Commission has set a decisive milestone: the price for the Carbon Border Adjustment Mechanism (CBAM) — the so-called EU climate tariffs — has been set. For ...
AI potentials have been identified, and the first pilots are running – but how does this become a coherent strategy? In this Sustainability x AI series talk, Janika Ofterdinger and Dr. Britta Frommeyer (Nextra Consulting) show how companies can elevate ...
The introduction of Artificial Intelligence (AI) in a company is not a one-time project, but a strategic process that should be carefully planned and implemented. A well-founded AI strategy ensures that initiatives create measurable value, resources are used efficiently, and ...
Many companies start AI initiatives reactively – because a tool is currently popular, not because a concrete need has been identified. The result: misguided investments, unclear priorities, frustrated teams. In this talk from the Sustainability x AI series, Janika Ofterdinger ...
AI projects often fail not because of the use case itself, but due to a lack of structure in implementation, governance, and integration. Even well-prioritized use cases deliver no added value if technical, organizational, or cultural prerequisites are not sufficiently ...
The term “AI agent” is being used excessively—often without a clear distinction from chatbots or classic AI tools. In this Sustainability x AI series talk, Nextra Consulting GmbH and Carlotta Meyer-Burgdorff provide clarity: What are AI agents really, where is ...
Departments need AI skills to identify use cases, classify AI results, and meaningfully integrate AI into their daily processes. The goal is not technical expert knowledge, but the ability to professionally manage AI and use it productively. A central competency ...
The use of AI often creates fears of loss of control, job changes, or lack of transparency. These concerns are usually less technological than emotional and organizational in nature, and they significantly influence the acceptance of AI within the company. ...
