Data

Part 2 of the series on strategic data evaluationThis is an element of a series on Strategic Data Evaluation.Strategic Data Evaluation (Part 1)Strategic Data Evaluation for Descriptive Questions (Part 2) ← You might be...

Data security is paramount, especially in fields as influential as artificial intelligence (AI). Recognizing this, China has put forth latest draft regulations, a move that underscores the criticality of knowledge security in AI model...

Shedding light on the scope of labor expectations for junior, mid-level, and senior data scientistsThe entry-level Data Scientist is often for freshly graduate students with a Bachelor or Master’s degree in Data Science/Applied Statistics/Big...

A shortcut for beginners in 2024This story explains an accelerated way of stepping into the information engineering role by learning the required skills and familiarising yourself with data engineering tools and techniques. It can...

Following are the study’s key findings: CIOs are doubling down on their investments in data and AI. Faced with increasing audience expectations, recent competitive pressures, a difficult economic backdrop, and an unprecedented...

PYTHON PROGRAMMINGShould we use type hints in data-science projects realized in Python?Should we use type hints in data-science projects realized in Python?Need a disclaimer? Here you're: It depends. In Proof-of-Concept sorts of projects, it’s...

Within the ever-evolving landscape of knowledge analytics, professionals are continuously faced with the challenge of adapting to recent tools and techniques. The standard methods of interaction with data, comparable to Command Line Interfaces (CLI)...

Microsoft AI researchers unintentionally exposed tens of terabytes of sensitive data, including private keys and passwords, while publishing a storage bucket of open source training data on GitHub. In research shared with TechCrunch, cloud security...