Data Lifecycle Management is a concept that has been around for a while and the benefits have been mentioned in detail in every article. However, Data Lifecycle Management (DLM) has not been used to ...

Like an apple falling from a tree, data may have gravity, but its journey from creation to consumption to archive is hardly a straight, uninterrupted path. In reality, the data lifecycle is a sequence ...

Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value.

With more sophisticated therapeutics comes larger and more complex data sets. The complexity is heightened with the advancements in personalized medicine as it introduces new data points at apheresis ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Low-code has elevated, pun intended. The rise of low-code ...

It is increasingly common for academic journals to require underlying research data to be made available alongside any published articles. For many publishers, the author/submitter guidelines and ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...