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Importance of Using Data and Analysis in Higher Education

Using the right data, in the right way, can help educational institutions and leaders keep up with ongoing challenges. Data analysis consolidates information to provide the big picture of trends and patterns for higher education leadership teams that can be used to evaluate and streamline processes, create efficiencies, and improve the overall student experience. The infographic below from our friends over at Maryville University highlights the importance of data and analysis in higher education.

The Future of Smart Cities

In this contributed article, freelance human Avery Phillips discusses the evolution of smart cities from the perspective of how urbanscapes will be run more efficiently through the collection of big data and the use of connected IoT devices. Hospitals will be better able to care for their patients and transportation will run more smoothly than ever. Even though we don’t know what the future holds, we can still look forward to a smarter tomorrow.

High Performance Data Analysis

The traditional HPC and commercial markets have been converging as established HPC users increase their use of newer analytics methods and commercial firms turn to HPC for mission-critical analytics problems that enterprise technology alone can’t handle adequately. Key verticals exploiting HPDA include financial services, healthcare/bioinformatics, energy, cybersecurity/fraud, manufacturing, online retailers and service providers, digital content creation, telecommunications, government, and academia. Key horizontal applications include simulation, fraud and anomaly detection, business intelligence/business analytics, machine learning/deep learning, affinity marketing, and advanced visualization.