Search results for: 'computing'

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

Waste generation has been identified as the fast-growing problem causing significant environmental and health hazard owing to changing modern societies, especially in the urban regions of the world. Traditional waste management practices face significant challenges in terms of overflowing waste bins and ineffective route planning. With 68% of the w...

The global waste management industry is transitioning toward greater digital technology adoption with the growing availability and deployment of smart solutions such as smart bins and fleet management, cloud computing, customer interfaces, waste tracking systems, and AI robotic sorting. These solutions will significantly improve waste collection, t...

This research study identifies key solution providers that support the digital transformation of the waste recycling and circular economy industry. It analyzes the top trends and growth opportunities emerging from this space, noting the regional differences in adoption technologies. The key factors driving and restraining the growth of this market ...