Google is Shifting from Mobile-First to AI-First

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This week was full of exciting announcements at Google IO. Beyond the hype, Google outlined a new vision for the future of technology evolving around a central component: artificial intelligence. In a world in which many of the top software companies are still battling for dominance in established areas such as mobile and cloud, Google is banking heavily on AI as the fundamental driver of future technology trends.

The AI-related announcements at Google IO varied from digital assistant to AI-powered chips. That’s an indication that Google is looking at AI as a ubiquitous functional block of future technology trends regardless of the specific area. Let’s take a look at some of the cool announcements:

· Google Assistant: A new messaging app with the capability of understanding natural language and respond to user’s input. Google’s Assistant is also context-aware which means that factors elements like location or time in order to interpret the requests from users and produce more accurate responses.

· Google Home: A smart speaker with always-listening microphones, Google Home is a direct competitor or Amazon’s Echo. Google Home leverages Google’s Assistant to interpret and process user requests.

· Google AI-Chip: One of the most exciting announcements of IO was the announcement of a new ASIC (application-specific– integrated-circuit) for deep neural nets. Neural nets are a key component of deep learning used for tasks such as identifying objects in photos or natural language commands. Google calls its chip the Tensor Processing Unit, or TPU, because it underpins TensorFlow, the software engine that drives its deep learning services.

These series of announcements, followed the ones made at the GCP Next Conference in which Google released the new version of Tensor Flow and announced the Google Cloud Machine Learning platform. One thing is clear: from IOT, to mobile, to cloud, Google is backing in the AI-first software era.

Written by

CEO of IntoTheBlock, Chief Scientist at Invector Labs, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

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