There are useful applications for artificial intelligence (AI) in all industries. AI solutions facilitate more sustainability and further advantages like reduced costs or automized digital processes. Another focus: to develop AI itself in a sustainable way and to protect resources and the environment through the AI solutions developed.
What is artificial intelligence? AI usually describes the attempt to adapt certain decision-making structures of humans or human learning to be done by a computer. AI can be on many different levels and have different dimensions; a “one-size-fits-all” AI does not exist. It is however beyond the scope of this post to describe all facets of this topic. I will therefore concentrate on the many positive effects of marketable AI solutions that can be gained. Moreover, I will explain at which points participants can conserve resources in the development of AI and how AI in its later implementation can protect nature and the climate. I will use AI as an umbrella term for all related digital technologies, such as machine learning, deep learning and neural networks, to simplify the context.
An increasing number of AI solutions are using scalable environments in clouds, whose providers use green energy and comprehensive energy-efficient measures.
Fabian Placht, Sales Expert, T-Systems International
Supply chain is the key word: AI solutions help production companies to comprehensively document their supply chains, right down to their raw material suppliers. With AI platforms, buyers can request, share and analyze the data from subcontractors. AI-supported calculations can help identify possible risks across the whole supply chain, evaluate these and purchase the necessary resources. This creates consistent transparency, which means you can ensure you're working with sustainable suppliers and filter out those that don't consider sustainability criteria.
As well as companies, authorities are also increasingly using AI to help protect against emergencies. Using satellite-imaging over land masses, AI can be used to recognize potential fire risks early and identify unprotected coastal areas. Thanks to the automatic and fast recognition of changing land masses, the correct measures can be taken early to reduce or prevent damage.
These examples are only a small selection of what is now possible with AI. They show that artificial intelligence can be used in many industries and can improve sustainability in these areas. Alongside this, AI always scores points with numerous added values. As well as conserving resources, it also accelerates processes - this reduces costs and also simplifies and improves the user experience.
At the moment, it's not just large companies, but also an increasing number of start-ups that are focusing on the topics of AI and sustainability and are breaking completely new ground. It is beneficial for them therefore that an increasing number of IT solutions run on scalable environments in clouds, whose providers use green energy and comprehensive energy-efficient measures.
Does AI also have shortcomings and limits and does it need to be chosen and implemented “intelligently”? The answer to this question is Yes. In the future, there will certainly be even more good reasons to use AI. I am excited to see where the journey leads us.