Menu
Get in Touch
attention models

Attention Models: Amplifying Machine Learning Benefits for Enterprise

We’ve highlighted the incredible benefits machine learning offers at the enterprise level. In fields as diverse as retail and agriculture machine learning can enhance efficiency and profitability. Yet machine learning is continuously evolving. In this article, we illustrate how attention models are promising even more for enterprises at the cutting edge of computing technology.

What are the attention models?

Machine learning often takes inspiration from the way the human mind works. Neural networks have made huge advances in the way natural language and images are processed and attention models – which mimic human behaviour to some degree – are gaining prominence.

In simple terms, attention models selectively process data by focusing on the parts or segments of data that is the most important. Just as the human mind focuses on important facts when evaluating a situation, attention models speed up the processing of large volumes of data by concentrating on the most relevant segments.

Practical examples of attention models

The data science applications for attention models are broad and rapidly evolving. Attention models are turning out to be incredibly practical. Here, we outline a number of ways in which attention models can improve data processing, and what the commercial benefits are.

Interactive chatbots

Automating customer interaction removes the pressure on customer service staff, reduces costs and – if done correctly – improves the customer experience. Natural language processing (NLP) is difficult to achieve but significantly aided by attention mechanisms. An attention model can pick out the most important words even where sentences are long and complex.

 

Attention Networks

Stacked Attention Networks for Image Question Answering

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.

Attention models: Neural Network for Fine-Grained Image Recognition

Neural Network for Fine-Grained Image Recognition

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: Text summarization with TensorFlow

Text summarization with TensorFlow

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

Contact Us

  • We need your name to know how to address you
  • We need your company name to know your background and how we can use our experience to help you
  • We need your phone number to reach you with response to your request
  • We need your country of business to know from what office to contact you
  • Accepted file types: jpg, gif, png, pdf, doc, docx, xls, xlsx, ppt, pptx.
(jpg, gif, png, pdf, doc, docx, xls, xlsx, ppt, pptx)

We will add your info to our CRM for contacting you regarding your request. For more info please consult our privacy policy
  • This field is for validation purposes and should be left unchanged.

Our Achievements

IAOP The Global Outsourcing 100 2018
ISO 9001
isoiec 27001
GSA
Horizon Interactive Awards
Stevie
The Webby Awards
it europa awards finalist
Clutch Global 2017
EBA
Get in Touch
Our website uses cookies to personalise content and to analyse our traffic which may also result in profiling. We may as well share information about your use of our site with our social media, advertising and analytics partners for advertising purposes. You may delete and block all cookies from this site as described here. Check our privacy policy to learn more on how we process your personal data. Ok