Managing Data
Modern businesses have vast, diverse data that they want to make use of in as many ways as possible, including for analytics. A data […]
Embracing AI-Driven Technology
In 2020 more than 50% of companies adopted artificial intelligence (AI) in at least one business unit or function. As we witness the emergence […]
Compliance with Fragmented Data
Data fragmentation refers to the dispersion of an organization’s data assets. The more data you have from different sources and stored in different spaces, the […]
AI in the Management of Data
Artificial intelligence (AI) and machine learning not only provide new means for business users to gain quick insights, but also the possibility of improving […]
Walk Away from the Data
Sometimes you want to call in professional help for data hoarders. If you’ve ever walked into a hoarder’s home, you were likely met by […]
Maintaining Integrity in the Data Management Process
Data integrity is key for sound business decisions. Insuring data integrity in any industry is important but when it comes to our environment, it […]
Findability and Taxonomies
Large amounts of data are generated in chemistry labs, both digitally and non-digitally. They are often reported in ways non-accessible to both humans and […]
Managing the Data with Semantic Technology
In this world of digital, 80% of all data generated is unstructured. This poses a challenge for finding, processing and analyzing data. This interesting […]
Getting Control of Your Data
If you’ve ever walked into a hoarder’s home, you were likely met by endless piles of seemingly worthless things. To the owner, though, these […]
Data Management and AI’s Relationship Status
Artificial intelligence (AI) and data management have a symbiotic relationship. When embedded into data management tools, AI can simplify, optimize, and automate processes related to data quality, […]