Machine learning made simple(r) with Google Cloud

By: John Flower
Tag(s): Data
Published: May 17, 2017
Machine learning made simple(r) with Google Cloud

We've written previously about how machine learning – also sometimes called artificial intelligence – is moving out of the research lab and into the workplace to help solve real business needs. There's no denying, however, that implementing machine learning still involves quite a bit of expertise and skill. That's why Google has created a number of APIs to let you access “pre-baked” machine learning systems that are already trained to handle a range of tasks.


Google Cloud Machine Learning APIs

Using Google Cloud Machine Learning APIs, you can immediately start applying machine learning to: 

  • Images: using the Google Cloud Vision API, you can automatically tag images based on their content – which can include individual objects faces or any printed words – and then let your users search for images with specific content.
  • Video: using the Google Cloud Video Intelligence API, you can automatically tag every frame of a video archive with keywords and annotations, letting users find the specific segments of the video files in your catalogue that meet their needs.
  • Speech: using the Google Cloud Speech API, you can accurately and automatically convert audio to text in more than 80 languages and variants, and use the results to handle voice control of applications as well as provide transcription.
  • Language: using the Google Cloud Translation API, you can get fast dynamic translation of text between any two supported languages – quickly enough to translate websites and applications “on the fly”.
  • Text: using the Google Natural Language API, you can automatically tag and analyse the content of news articles, blog posts, conversations on social media sites or in messaging apps, or any other natural language text. You can use the results to understand what people feel and are saying about your organisation; or to route and prioritise customer contacts; or simply to help users find relevant articles.
  • Jobs: using the Google Cloud Jobs API, you can provide users with a highly intuitive approach to finding a new job that anticipates what they're looking for and recommends targeted opportunities.

If your needs aren't covered by any of these APIs, you can take advantage of open source models developed by members of Kaggle, the world's largest community of data scientists, now part of the Google family, or build your own model using Google's Large Scale Machine Learning Service. This provides all the tools you need to build your own sophisticated, large scale machine learning models.

Working with a Google Cloud Platform Premier Partner

As a leading Google Cloud Service Partner, we have considerable experience with Google Cloud Platform, both assisting clients to future proof their business with cloud infrastructure.

Cloud adoption is not just about agility and cost optimisation — it’s about building the very foundations you need to continuously innovate and stay ahead. A cloud-first architecture using Google Cloud Platform not only modernises your infrastructure but unlocks a whole new world of digital freedom and opportunity.

Our onboarding methodology will help you realise value in weeks, not months so you can save costs and increase agility.

If you’d like to find out more about how we can help you, why not take a look at some of our customer success stories or talk to the experts in our Google Cloud Platform team.

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