Classification plays an important role in many applications of artificial intelligence (AI), such as image recognition, speech recognition, and natural language processing. For example, image recognition systems use classification algorithms – analyzing patterns and features – to identify objects in images. This topic came to our attention from Pitch Book in their article, “AI, intelligent automation set to drive enterprise SaaS growth and innovation.”

Overall, classification is a crucial concept within AI that enables machines to learn from large datasets and make informed decisions based on their analysis of those datasets.

The process of classification in AI involves the use of algorithms that can learn from large datasets through supervised learning techniques.

It is crucial for decision-makers to understand how AI systems arrive at their conclusions and recommendations. By developing transparent and interpretable AI systems, we can increase trust in these technologies while also improving their accuracy and performance.

Data Harmony is a fully customizable suite of software products designed to maximize precise and efficient information management and retrieval. Our suite includes tools for taxonomy and thesaurus construction, machine aided indexing, database management, information retrieval, and explainable AI.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.