Most organizations don’t have the time, expertise or resources to custom build artificial intelligence (AI), regardless of important and helpful they may believe it to be to their success. How will companies will be able to differentiate themselves in the industry if they are limited to using only canned AI? Forbes brought this interesting information to our attention in their article, “AI Differentiation May Come From More Than Just Data.”

Knowledge engineering is a core part of AI. Machines can often act and react like humans only if they have abundant information relating to the world. AI must have access to objects, categories, properties and relations between all of them to implement knowledge engineering. Initiating common sense, reasoning and problem-solving power in machines is a difficult and tedious task.

Fortunately, AI is flexible in its applications. Users vary as much as their perspectives. How it is used in businesses, canned or custom, will contribute to their success. Companies will differentiate by choosing either the right or wrong tasks to apply AI to, while refactoring their processes to get the most out from AI.

Melody K. Smith

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

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.