Artificial intelligence (AI) continues to make advances since its debut about a half century ago. The past decade has seen changes in computing power and tools that have made it possible for machines to solve more complex problems, so they can handle more than very specific tactical tasks, but also become more strategic in the decision-making. DATAVERSITY brought this news to our attention in their article, “Artificial Intelligence Can Take a Dive in the Absence of Data Quality.”
Being able to use AI to make complex decisions based on various inputs is a power that enables technology to ingest, process, combine and find patterns in data. This is all necessary to ensure data quality and a prime ingredient for predictive analytics.
The main challenge for all AI apps is that you need good data sets to train the machine and make sure computers can predict precisely what the person wants to do.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
