Artificial Intelligence (AI) applications are becoming increasingly prevalent in our everyday lives. Research is advancing at lightning speed. At the same time, the potential dangers associated with AI-based processes are become increasingly clear.
Digital personal assistants and smart speakers, such as Apple HomePod, Amazon Echo and Google Assistant, are taking over our homes and workplaces. Virtual assistants support people in their day-to-day work or personal lives.
Neural networks or Deep Learning make the algorithms capable of learning. In cognitive computing, human thought processes are simulated, so complex problems can be solved independently. However, universal artificial intelligence, or strong AI, is probably some years off. Initially, AI applications are only solving concrete problems. But progress – including in neuromorphic hardware, where processors replicate the functions of human neurons – is bringing us a step closer.
Mega-trend Artificial Intelligence and its macro-trends
As a long-term sign of change, each mega-trend emerges in the form of medium-term macro-trends. Depending on factors like technological development, research status and societal acceptance, the macro-trends need different lengths of time for mainstream adoption.
Exclusively in the Trendexplorer: Macro-trend deep dive
- Drivers of Innovation
- Degree of maturity/mainstream adoption
- Challenges for different industries
- Opportunities for different industries