In a diverse and dynamic technology landscape, how can companies create a more intelligent approach to data management? Composable data systems based on open standards may be the next big thing for ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Matt Whittle has experience writing and editing accessible education-related content in health, technology, nursing and business subjects. His work has been featured on Sleep.org, Psychology.org and ...

Amilcar has 10 years of FinTech, blockchain, and crypto startup experience and advises financial institutions, governments, regulators, and startups. Information management technology (IMT) refers to ...

The substantial volume of data collected and analyzed by modern laboratories - irrespective of their sector - means that effective lab data management has never been so important. In this context, ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Informatics solutions such as Electronic Lab Notebooks (ELN) and LIMS systems (Laboratory Information Management System or LIS) may be insufficient to manage this amount of data, leading to ...