There are many benefits to artificial intelligence (AI). There are also problems and challenges. The common denominator are people. In AI and data science, the trick is to blend the best of humans and machines. InfoWorld brought this interesting information to us in their article, “When is enough data enough?“
Want to make better data-driven decisions but feel your data isn’t strong enough? Maybe you should stop waiting for perfection. You will always be able to improve your data, no matter how good you think it is. It can always be cleaner, and it can always be more thorough. In other words, it can always be perfected. It’s easy to convince yourself that you’ll be ready to start your data project after a certain event has happened – a new system being implemented, a new process being established, or the latest organization or departmental restructure taking place.
At the end of the day, content needs to be findable and, that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, AI suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
