The majority of big artificial intelligence companies are pouring huge amounts of energy and resources into AI in the hope of creating a more efficient and automated future. However, throwing large volumes of data at machine-learning algorithms and using vast amounts of processing power is neither efficient nor futureproof. Algorithms were never developed with efficiency in mind, so focusing on this aspect is a vital step towards avoiding another'AI winter'. The energy consumption required for mining and managing Bitcoin has been in the media spotlight for years now. The energy usage of crypto transactions has even been compared to that of countries the size of Greece, a country with a population of over 10 million people.

The pursuit of sustainable enterprise growth has accompanied the rising interest in optimizing the use of global resources. Companies know that the proper management of global resources today isn't strictly a question of ethics, but can also have a very real impact on building competitiveness. Sustainable growth is becoming a leading trend in the business world, one that can be supported by AI and advanced data analysis. In business, basing decisions on reliable, real data can be a key means to achieving sustainable growth. AI has made it possible to monitor and analyze huge amounts of data, from various sources, more or less in real time.