With this agreement, a team of HTC talent will join Google as part of the hardware organization. These future fellow Googlers are amazing folks we’ve already been working with closely on the Pixel smartphone line, and we’re excited to see what we can do together as one team. The deal also includes a non-exclusive license for HTC intellectual property.
This isn’t a competition against Apple but rather a fight to take over the AI era
In 2018, Google launched its machine learning mechanism called Duplex. Finally, it seems it is rolling that out in the US for the new Pixel Phone.
Pixel is fully integrated with all the Google AI tools, but most of all can capture as much data about its users.
In a paper put together by Professor Douglas C. Schmidt, Professor of Computer Science at Vanderbilt University, and his team reported by digitalcontentnext.org there are a few interesting things to notice.
For instance, according to the study on devices powered by Android where the user was logged in with a Google account:
Google collected data at numerous activity touchpoints, such as user location, routes taken, items purchased, and music listened to. Surprisingly Google collected or inferred over two-thirds of the information through passive means. At the end of the day, Google identified user interests with remarkable accuracy.
Can you guess what the enabler of Google data collection is?
Android is a key enabler of data collection for Google, with over 2 billion monthly active users worldwide.
What kind of information can it get through the device?
Via the Android device connected with a Google account, the tech giant can get a name, mobile phone number, birthdate, zip code, and in many cases, credit card number, activity on the mobile phone (e.g., apps used, websites visited), and location coordinates.
More specifically Google gathers the data via a few main channels:
- Google Accounts
- Android Devices
- Chrome Browser
- And other Google products
Which connects to the last and most important point
The Google Pixel? A vertical distribution strategy for data acquisition
One of the critical ingredients for massive long-term success is vertical integration. This can be summarized as a process where a company controls several stages of the supply chain.
In an industry where you focus on a physical product, controlling the supply chain is a matter of controlling the whole process from manufacturing to retail.
However, this strategy isn’t cheap, and it requires a large number of resources. That is usually why vertical integration happens with a larger scale.
For instance, over the years Google has entered the browser market with its Chrome so that it could directly channel traffic to its search pages. Yet, where is the traffic coming from?
The device is the answer. In short, by trying to scale up the hardware side, Google can finally have access to the data at its source. Thus this isn’t a competition with Apple; this is a competition for the next era of AI.
When Google affirms to be AI-first, this implies that to be successfully ferried to the next phase, it will need all kinds of data that it can fetch to its AI. At the stage, the quality of the data is a critical element.
Finally, the company won’t need any more intermediaries and billion dollars deals to access that data; it will only need the device in the hands of as many people as possible!
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