Digital transformation advice from a UK Google Cloud Premier Partner

Digital transformation advice from a UK Google Cloud Premier Partner

This is the last of our posts on machine learning, after What is machine learning? and How does machine learning work?.  Here, we'll explore how organisations like yours can benefit from this exciting technology. These systems can recognise patterns in data, make predictions, and become more accurate in their predictions as they're fed more data.  Over time, they have the potential to touch every area of our lives.

Here are some examples of how machine learning can be used:

  • Retailers and service providers can deliver relevant information and tailored recommendations to customers.  They can also design the best layout for stores and store displays, based on learning about real customer behaviour in near real-time.
  • Media and entertainment companies can launch new products and services, such as virtual reality games and augmented reality, which rely on machine learning to provide motion tracking and environment tracking
  • Finance companies can predict credit risk more accurately and identify fraud and other criminal activity more quickly, by understanding patterns in customer behaviour. Meanwhile, chatbots can help customers complete complex tasks such as submitting insurance claims or opening a new account.  Moreover, content analysis can automate the review of insurance claims so they can be processed more quickly.
  • Healthcare providers can automate screening of medical images such as prepared slides of cell samples, reducing errors and freeing doctors to spend time on treatment rather than detection. In "Smart" hospitals (and "smart" homecare), activities can be tracked -- through video feeds, wearable devices and health records -- to keep patients physically safe and to flag up if protocols aren't being followed correctly.

However, as Dr Fei-Fei Li, Google's chief scientist of AI and machine learning, pointed out in the presentation referenced in our earlier blogs, the barriers to implementing machine learning remain high.

4 ways to use machine learning in your business

However, with Google Cloud Machine Learning services, Google aims to lower those barriers. It has brought together tools such as image, video, speech and translation APIs, infrastructure such as the Cloud Machine Learning Engine cloud storage, and experts in machine learning.  The combination of these tools will help organisations like yours quickly develop their own tailored models to support innovative business applications. If you'd like to find out more about how machine learning could help your organisation, please call us to talk to one of our Google Cloud Platform specialists.

 Contact our Google Cloud Platform experts