Our LIS program conducts systematic data gathering from our constituencies including students, faculty, alumni, employers and administrators. Learn more at Drexel CCI.

The AI Data Cycle consists of a six-stage framework designed to streamline data handling and storage. The first stage is focused on collecting existing raw data and storage.

By Kaunda IsmailIn today’s data-driven world, information is often hailed as the “new oil.” But unlike finite natural resources, data is renewable, dynamic, and grows exponentially.Its value, however, ...

Turn gas detector data into actionable insights and improved compliance via five clear steps that connect device maintenance, worker behavior, and key metrics.

It’s important for enterprise data center planners to understand the dynamic interplay between AI and data storage. The AI Data Cycle outlines storage priorities for AI workloads at scale at each one ...

The difference between a top-performing medical group and an average or even struggling one will likely come down to actionable insights based on data this year.

Initial data shows some promising trends, including a 24% increase in distinct first-year applicants since the last pre-pandemic cycle in 2019-2020.

Hammerspace has raised $56.7 million in what the unstructured data orchestration software startup said is its first institutional funding. The funding round, which comes during a time when venture ...

Fueling the next wave of AI innovation, Western Digital (NASDAQ: WDC) today introduced a six-stage AI Data Cycle framework that defines the optimal st ...

Capturing SDOH information will create the opportunity for your revenue cycle to make informed decisions that will help to improve reimbursement rates while providing quality care for patients.

Fueling the next wave of AI innovation, Western Digital today introduced a six-stage AI Data Cycle framework that defines the optimal storage mix for AI workloads at scale. This framework will ...