Google intros AI analytics tools for third sector

Third Sector organisations will be able to apply leading data analytics and machine learning tools to their real-world challenges, with a grant of resources and support.

Chloe Green | 26th Jul 18
Google Cloud has introduced new advanced resources into its offering for not-for-profits that include artificial intelligence and machine learning development tools.

Google Cloud has expanded its advanced cloud tools options for nonprofit organisations and NGOs to include a programme focused on data analytics and machine learning.

‘Data Solutions for Change’ is an initiative designed to empower non-profit organisations with Google data analytics solutions. Program participants can apply for the chance to receive benefits such as a Google Cloud credit grant, self-training lessons with Qwiklabs, and Role-Based Support at the development level.

“Not-for-profits now have the opportunity to access and collect data at an unprecedented scale and many are implementing a data-driven approach to problem-solving,” said Carol Carpenter, VP of Cloud Product Marketing at Google Cloud. “They need data analytics solutions that don’t require them to manage infrastructure operations, and instead allow them to carry-out analytics projects and lay the foundation for AI.”

Like scientists, not-for-profits are now approaching problems like disease detection by collecting observations, developing a hypothesis, and testing that hypothesis in real-world settings, as Carpenter explained: “They have evolved from keeping records into generating and analysing data – large-scale structured datasets that include anything from millions of electronic medical records to other health indicators like body-mass index. And while these not-for-profits seek to apply data analytics to real-world challenges, their financial and technical resources are limited.”

Carpenter added: “With Google Cloud, not-for-profit organisations can now harness massive amounts of data with our integrated Big Data and artificial intelligence (AI) platforms. In particular, such organisations can analyse data at the scale of the entire Web with Google Cloud Platform’s data warehouse, Google BigQuery. They can also tap into AI and build applications, automating their work with our Google Cloud machine learning solutions. And they can go from BigQuery analysis to data visualisations in seconds with Google Data Studio.”

Google has been piloting Data Solutions for Change with nonprofit partners. Social enterprise Harambee Youth Employment Accelerator, for instance, supports economic development through the employment of disadvantaged youth. With Google Cloud, Harambee has connected more unemployed youth with entry-level positions by analysing large datasets with Google BigQuery, and developed machine learning algorithms with a variety of Google Cloud Platform products, including machine learning on Cloud Dataflow.