AI and sustainability: a new strategic area of activity
In the global debate about the risks to society posed by and the economic potential of artificial intelligence, two complementary lines of argument stand out in striving for specific approaches to a “sustainable” use of AI. Both topics are of relevance to all companies wishing to develop a long-term AI strategy. However, they are usually not differentiated sufficiently in practice. An attempt at clarification by Andreas Neef, Managing Partner of Z_punkt.
Agricultural Robotics for Efficient Indoor Farming
The level of automation in agriculture is already high in many advanced economies. Yet, faced with an ever-increasing global population, agricultural enterprises around the world are on the lookout for additional ways to improve efficiency.
Digital Cryptocurrency in Barcelona
Barcelona is planning the introduction of a digital payment system or “cryptocurrency”. The new municipal government hopes it will both boost the local economy and increase social equity.
Metabolic Engineering enables new design chemicals
Without modern biotechnology, clothes that come out clean when washed at only 40 degrees Celsius would be inconceivable. Today, chemical substances are also being replaced by biotechnology in many other industrial areas, such as agriculture or cosmetics, but they still play a subordinate role compared with petrochemicals.
The Blockchain: Infrastructure for China’s Energy Transition
Together with a Chinese partner, IBM is currently introducing a blockchain-based emission trading scheme in China. In the longer term, it could well form the basis of the digital infrastructure for China’s energy transition.
Drone-Based Logistics for Remote Regions
The future of logistics without the use of drones is inconceivable. Whilst the obstacles to their deployment in urban areas are currently insurmountable and possibly will be for the foreseeable future, drones are virtually predestined for deliveries to remote regions.
Artificial Intelligence as Inventor and Developer
Whilst automation continues its inexorable progress in the sphere of industrialised production, direct human involvement in the very early stages of development is also becoming increasingly rare. Whether in the laboratory of tomorrow or the factory of the future, it is algorithms that will be shouting “eureka!”. Machines not only know how to produce a given item, but also how many, with what, and why it must be done just so.