Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets. Large-language models (LLMs) have taken the world by ...

In today’s data-driven world, enterprises face an ever-growing demand for data to fuel their operations, from testing to machine learning and AI. Yet, collecting high-quality, diverse and ...

AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.

Organizations often need to develop tailored data migration strategies and use specialized software to complete the data migration process successfully. They also need to decide on which data ...

Humans are generating more data than ever before. While much of these data do not need to be stored long-term, some – such as ...

Assuring data quality should be one of the most important goals for IT professionals. This is truer today than it has ever been as organizations rely on data to power their AI and machine learning ...

Pharmacists at the Pharmacy Quality Alliance (PQA) 2023 Annual Meeting discussed the role of data collection and analysis in the movement toward health equity. At the Pharmacy Quality Alliance (PQA) ...