The potential of artificial intelligence technology is comparable to the invention of the steam engine or the triumph of the internet. What we are currently experiencing is nothing less than an epochal disruption that will fundamentally change the way people live and work around the world. A whole series of factors are responsible for this, which influence and reinforce each other. adesso highlights the most important drivers of this development:
- 1. The path of digitalization and dematerialization: streaming instead of vinyl records, digital pay instead of cash, AI assistants instead of flesh-and-blood consultants. If we imagine how many material products have become superfluous through smartphone apps alone, it becomes clear that more and more physical objects are disappearing and being represented digitally instead. At the same time, these digital objects are becoming increasingly networked, for example in the Internet-of-Things or the Internet-of-Everything. As a result, more and higher-quality data is available for AI development.
- 2. The influence of big data: Various sources such as sensors, digital processes and social media are generating vast amounts of data in companies – increasingly in real time. When using AI, you can therefore rely on a large, comprehensive, up-to-date and rapidly growing reservoir of data (volume). In addition to the sheer volume of data, big data is defined by the high speed of data processing (velocity), the scope and format of the data sources (variety), the accuracy and reliability of the data (veracity) and its significance for specific applications (value).
- 3. Moore’s Law and the grain of rice phenomenon: Moore’s Law describes what happens to the famous grain of rice on the first chessboard square when it grows exponentially. By simply doubling from square to square, a gigantic quantity of grains weighing 461 million tons is created on the 64th square. IT technology is also developing at a correspondingly rapid pace and is driving AI development at the same speed – and continues to do so. This growth forms the technical basis for ever more powerful IT architectures, which in turn provide the basis for the rapid further development of artificial intelligence.
- 4. The flow of investment: Huge sums of investment are available for AI development. It is regarded as the number one driver of innovation and is producing new products and services that will shift market shares, positions of power and spheres of influence. Last year, Bloomberg Intelligence predicted that the sales volume for generative AI will grow to an estimated 1.3 trillion US dollars by 2032 – and the trend is rising. The software market alone accounts for 280 billion US dollars. This continued rise will influence economic, labor market and geopolitical dynamics. Trade and companies are just as challenged by this as societies and governments.
- 5. The hype cycle of technological innovations: With these drivers behind it, AI follows the typical hype cycle pattern defined by the market research company Gartner. According to this, five phases characterize the development of new technologies. These include, firstly, an initial phase that arouses interest in a new technology; secondly, a phase of exuberant expectations; thirdly, the valley of disillusionment; fourthly, the path of insight with meaningful practical implementation and, finally, productive maturity. Not all technologies follow this path or make it to the last stage. For AI, however, this is out of the question.
“The AI boom is paving the way for unprecedented progress and efficiency in a wide range of sectors, from natural-looking chatbots to critical infrastructure control systems,” explains Tim Strohschneider, Head of Generative AI at adesso. “Understanding how AI can strengthen companies and organizations and unleash new potential is becoming arguably the most important competency and differentiator – and will remain so for the foreseeable future.”
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Further links
👉 www.adesso.de
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