Is there such a thing as too much data? Many organizations have begun to realize that having excess data does not necessarily translate to excess value. In some ways, data is more of a liability than an asset. But there are ways to approach a plethora of data to leverage its true power despite the drawbacks. InfoWorld brought this interesting information to our attention in their article, “When is enough data enough?“
When it comes to artificial intelligence (AI), data isn’t the problem. Humans are the problem. The trick is to blend the best of humans and machines.
How can businesses know that their digital performance improvements are good enough to keep them ahead of the competition? Too much data, imperfect data, and lack of access to data are all challenges preventing the flow of reliable information and valuable insights.
At the end of the day, content needs to be findable, and that happens with a strong, standards-based taxonomy. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies and associated rule bases for machine-assisted indexing.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, changing search to found.
