Big data refers to large, diverse sets of information from multiple sources that can provide strategic information for ...

Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of ...

Have you ever hesitated to explore powerful data tools because of the fear of hidden costs or complex setups? If so, you’re not alone. Many aspiring data enthusiasts and professionals shy away from ...

One implication of ubiquitous sensing as evidenced by the rapid growth of the Internet-of-Things (IoT) is the explosive increase in data being collected. This data comes from myriad sources: According ...

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What is the unit of discovery in spatial biology? It’s a big, complex question, and Sami Farhi aims to answer it. “In single-cell analysis, it’s straightforward,” says Farhi, who leads the Broad ...

Kinil Doshi is a senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. Advances in technology have played a crucial and welcomed role ...

The Tuesday after spring break, students from Purdue University’s Computational Social Science Lab eagerly gathered in the Joe and Maggie Kernan Social Science Research Lab on Beering Hall’s second ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...

The main reason behind the rising popularity of data science is the incredible amount of digital data that gets stored and processed daily. Usually, this abundant data is referred to as “big data” and ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...