Attention Models: Amplifying Machine Learning Benefits for Enterprise

As a consequence, enterprises can deploy automated chat bots utilising neural networks in combination with a common knowledge base to interactively resolve customer issues without the involvement of a human actor.

Image processing

By paying focused attention to the most significant objects in an image neural networks can rapidly interpret the true meaning of an image by following the information flow from these significant areas. In a manner not dissimilar to the way the human mind works neural networks can focus on the most important areas in a scene and draw conclusions.

As a result, attention models can make it easier to create hashtags based on images – useful for enterprises active on social media – while automatically boosting accessibility by, for example, creating descriptions for blind people. Attention models can even boost the ease with which automated systems can produce daily surveillance reports for security guards.

Summarising text

There is already a vast amount of published written content, and the mountain of text is growing rapidly. Employing humans to create summaries for the purpose of cataloguing and reviewing is not always realistic. Instead, attention models are well-placed to pinpoint the most significant parts of the written content and to derive summaries that can automatically guide readers.

Attention models can rapidly analyse text and detect which parts are the most significant. In turn, an algorithm supported by an attention model can quickly generate a headline or a summary which can guide a reader, offering a clear indication of the relevance and importance of written content.

The role of attention models

Though attention models can enable previously impossible features, they are even better suited to speed up existing processes. Enterprise algorithms can be improved upon, delivering higher performance and better results. These improvements do not come at the cost of increased processing power or higher computational complexity.

Attention models offer enterprises the means to tap more out of machine learning and automation. Unsure of how machine learning, neural networks, and attention models can benefit your enterprise?

Our Data Science team has deep experience in deploying the latest in artificial intelligence. Contact us for insight into how you can draw enterprise benefits in areas such as customer service, product development, and operational efficiency.

First version published on the insidebigdata.com