Google served up a bevy of announcements, technologies and goodies for developers, but it also highlighted a much larger strategy where the search giant still organizes the world’s information, but also begins creating systems that’ll add context, delight you and potentially provide more insights.

Here’s a look at the key takeaways from Google I/O this week.

Artificial intelligence and machine learning is Google’s competitive advantage and will be embedded everywhere. Google CEO Sundar Pichai talked AI non-stop during his Google I/O keynote and he’s rearchitecting the company to be “AI-first.” The extent of Google’s AI reach is everywhere from Google Photos to Google Assistant to Google Cloud Platform to damn near every other product or service the search giant has. Google’s AI efforts will even tap into human resources as it pivots to target job searches.

Another notable AI project is AutoML, a research project under the Google.ai effort. The general idea is that machine learning systems will create more machine learning systems. Pichai said early results for AutoML were promising.

Edison analyst Richard Windsor said of AutoML:

This is a hugely important development as it marks a step forward in the quest to enable the machines to build their own AI models. Building models today is still a massively time and processor intensive task which is mostly done manually and is very expensive. If machines can build and train their own models, a whole new range of possibilities is opened-up in terms of speed of development as well as the scope tasks that AI can be asked to perform. Automated model building is one of the major challenges of AI and if Google is starting to make progress here, it represents a further distancing of Google from its competitors.

Sourced through Scoop.it from: www.zdnet.com