Without the right processes and tools, it’s easy for a digital analyst to spend more time pulling and organizing data than reporting their findings and delivering meaningful analyses. What can ...

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Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

Looping of chromatin fibres is an important mechanism for transcription regulation in animals. The past decade has witnessed an explosion of chromosome conformation capture (3C) technologies aimed at ...

“You can’t handle the truth.” We all remember Jack Nicholson’s iconic words in A Few Good Men as a seminal moment in pop culture. Yet, that statement has a lot of relevance for companies and their ...

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 ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- fundamentally changing how organizations evaluate, justify, and implement their ...

Automation, cloud-based systems, internet-enabled devices, API-centric environments — all of these things within software application development have paved the way for greater enterprise efficiency, ...