Insights from the Front Lines of Innovation

As ransomware attacks continue to grow in frequency and sophistication, organizations are reevaluating how they protect critical data. Traditional backup strategies were designed primarily to recover from hardware failures or accidental data loss. However, modern cyberattacks often target backup systems themselves, attempting to delete or encrypt recovery data before launching a ransomware attack.

Organizations today generate and store more data than ever before. Operational systems, analytics platforms, security tools, IoT devices, and digital services all contribute to rapidly growing data volumes. While expanding storage capacity is an important part of managing this growth, simply storing data is not enough. Organizations must also ensure that data is organized, accessible, secure, and compliant with regulatory

Artificial intelligence and advanced analytics are transforming how organizations collect, process, and use data. From predictive modeling and fraud detection to mission analytics and operational intelligence, modern workloads increasingly rely on machine learning models and large-scale data analysis. These systems process enormous datasets and require powerful compute environments such as GPU clusters and distributed processing frameworks.