With digital transformation, businesses are experiencing new efficiency in productivity and operations. Thus, they must scale their IT infrastructure to meet the accelerating market demands. However, autonomy and cost hinder organizational objectives of growth and excellence.
Daten’s comprehensive and “green” data center solutions are designed to enhance your business operations, improve efficiency, and ensure data security.
Large enterprises and cloud providers with significant data storage and processing requirements will increasingly transition to hyperscale data centers. These expansive facilities offer enterprises a more scalable and efficient solution.
AI and machine learning will streamline data center operations by automating tasks such as performance monitoring, resource management, and threat detection. The emergence of self-healing infrastructure, capable of identifying and resolving issues independently, is also gaining traction. Additionally, no-code and low-code automation tools are becoming increasingly popular, making automation more accessible.
Enhanced power and cooling systems can lower the costs and environmental footprint of data center operations. For instance, closed-loop liquid cooling offers a more sustainable and cost-effective alternative to traditional evaporative cooling methods in data centers.
Data Center Advisor is an advanced analytics platform that leverages Artificial Intelligence (AI) and Machine Learning (ML) to enhance the operations of data center infrastructure. It examines operational data from IT and facility endpoints within the data center, delivering predictive insights that boost reliability, and efficiency, and reduce operational costs.
Virtual Desktop Infrastructure (VDI) is the most prevalent workload that tends to remain in on-premises data centers. For VDI to succeed, optimal hardware and network performance are essential, leading many IT teams to prefer keeping VDI servers and network infrastructure in-house to reduce latency.
With the progress of the hyperscale ecosystem, remote data center monitoring and automation have also advanced. These two areas have converged towards achieving automated operations of the data center, with real-time data enhancement capabilities facilitated by AI. Instead of constantly monitoring for situations that require human intervention, AI proactively implements autonomous solutions. Additionally, remote monitoring and automation offer improved customer visibility, providing unlimited real-time and historical data that leads to more actionable insights.
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