What is Neuron Networks?

A neural network is a network or circuit of neurons, or in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus a neural network is either a biological neural network, made up of real biological neurons, or an artificial neural network, for solving artificial intelligence (AI) problems.

How Are Companies Using Neural Networks?

Companies are using neural networks in various ways, depending on their business model. “LinkedIn for instance, uses neural networks along with linear text classifiers to detect spam or abusive content in its feeds when it is created,” explained Deepak Agarwal, LinkedIn’s vice president of Artificial Intelligence. “We also use neural nets to help understand all kinds of content shared on LinkedIn — ranging from news articles to jobs to online classes — so we can build better recommendation and search products for members and customers.”

DialogTech uses neural networks to classify inbound calls into predetermined categories or to assign a lead quality score to calls, Hoolihan said. The neural network performs these actions based on the call transcriptions and the marketing channel or keyword that drove the call, he said. “For example, a caller who is speaking with a dental office may ask to ‘schedule an appointment.’ The neural network will seek, find and classify that phrase as a conversation, therefore providing marketers with valuable insights into the performance of marketing initiatives.”