Search results for: 'part dc ai'

As enterprise adoption of AI enters a more demanding phase, the source of competitive advantage is shifting. In 2026, success is no longer determined by access to advanced models or the scale of experimentation, but by an organization’s ability to operationalize AI reliably within core workflows. This report examines how AI applications and use cas...

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 ...

As artificial intelligence moves from experimentation into the operational core of the enterprise, the demands placed on implementation and managed service providers are changing fundamentally. Early AI success was defined by proof points: models deployed, pilots completed, productivity gains demonstrated. Today, success is defined by durability: t...

Incorporating AI into mobile operator business operations offers clear advantages—automation, customer-centric services, and operational efficiency. However, these benefits come with challenges, including high implementation costs and data security risks. Strong support from C-level executives and boards can help operators overcome these obstacles....

AI technologies and platforms are entering a new stage of maturity. Most organizations now have access to capable models and have run pilots across multiple functions. The real question is no longer whether AI works, but where it can create sustained growth and how it can be scaled without introducing cost volatility, operational risk, or governanc...

This report examines the growing importance of AI governance platforms in enabling responsible and scalable artificial intelligence adoption, with a focused analysis of their applications and opportunities across interoperability, data privacy, and digital ethics. As organizations increasingly deploy complex AI systems, the need for structured gove...

DC power systems are expected to see growth as increased demand from telecom companies leads to increased deployment. Advent of 4G and 5G networks leads to steady growth of DC power systems as telecom base station power demand increases steadily. 5G deployment is the key driver for DC power systems, which is expected to see modest growth between 20...

Singapore is one of the most mature markets in the world when it comes to Data Centers (DCs). Singapore, as a country, is considered very secure and also has extremely well-connected infrastructure that provides a lot of boost to the DC industry. As most of the big data center participants have opened a data center in Singapore, it is considered to...

Generative AI (Gen AI) continues to create an impact across industries including automotive. In the next decade, Gen AI is expected to significantly influence automotive value chains, increase efficiency, productivity, and reduce wastes. In the supply chain, it will be used to optimize inventory and demand forecasting while in product development i...