Business Intelligence Data Center Hardware 
CIO
OCTOBER 10, 2024
We established the IT, Cybersecurity, and Digital Transformation departments, built the center’s IT infrastructure and data centers, and developed several critical systems like ERP, CRM, and Business Intelligence (BI),” he notes. Almoqhim has spearheaded several transformative initiatives during his tenure. “We
CIO
JANUARY 24, 2024
Classical machine learning: Patterns, predictions, and decisions Classical machine learning is the proven backbone of pattern recognition, business intelligence, and rules-based decision-making; it produces explainable results. Retraining, refining, and optimizing create efficiency so you can run on less expensive hardware.
CIO
JANUARY 12, 2023
The Lowdown on Edge Computing As new enterprise IT infrastructure deploys at the edge instead of in corporate data centers, there’s one main trigger for this shift. Here’s how edge computing works: a percentage of storage and compute resources move closer to the source of the data and away from the data center.
CIO
JUNE 5, 2023
Optimize internal technology Today, CIOs can influence everything from hardware procurement and the way developers write code for their company, to how IT gathers, processes, distributes and stores data—all of which impact a company’s carbon footprint.
Kaseya
NOVEMBER 9, 2023
With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers. Virtualization: Virtualization optimizes the usage of hardware resources through virtual machines.
Altexsoft
MARCH 31, 2020
Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). But how do you move data? You need to have infrastructure, hardware and/or software, that will allow you to do that. You need an efficient data pipeline. What is a data pipeline?
Cloudera
OCTOBER 30, 2023
The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.
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