by Steven Abreu, Regina Velaquez, Matius Chairani, Malte Granderath
The Service/Business: Google Assistant and Google Home
“Google Home is a voice-activated speaker powered by the Google Assistant. Ask it questions. Tell it to do things. It’s your own Google, always ready to help. Just start with, “Ok Google””1. This is Google’s description of its new service. You can place the gadget into any room of your house and once you ask it to do something it will use the Google Assistant software1.
The Google Assistant is a new service by Google, which uses artificial intelligence, machine learning and collected data to assist you with almost anything. You can talk to it and it answers back. The main processing does not take place on the device but on the Google servers. “Ask it anything”2. This is repeated often on the Google Assistant site. Google wants the Assistant to be able to help you in any scenario. ”Tell your Assistant to play jazz on the living room speakers, set your “go to gym” alarm, make a reservation, send a message, or turn your kitchen lights off”2.
- “Tell it to do things.”2
- “Ask it anything.”2
- “All your devices. One Assistant.”2
- “Safe, secure and in your control.”2
Why is it Big Data?
Personalized Search is an innovation that has transformed the way we use search engines irreversibly. Search Engines, like Google, are in many cases the first web-page we open in our browsers, they are integrated into our smartphones – like the new service by Google called Google Assistant. We, as users, search for lots of information every day. We search for restaurants, for doctors and even research personal issues, but we never think about what the data actually tells about us. Every single search query is stored for future reference.
This year, Google will release new services, namely Google Assistant and Google Home. Those two services can do a lot more than just search the web. They can reserve seats at a restaurant, control your home, retrieve flight information, and much more1. Google Home is a hardware that listens to sound even when in standby mode and it turns on when a specific keyword is said1. Then it will record the voice of the user and process what the user wants, by sending it to the Google servers to be extensively processed. This means that even more data will be collected about the users. The users do not have to take out a smartphone or laptop. Google will be accessible to them everywhere. Google collects every tiny bit of data about a user it can get and then uses that data for future actions of the user. Considering the huge amounts of data accessible to Google through these services, this is a perfect example of the use of big data.
- 3.5 billion Google searches per day3
- More than half of the searches come from mobile3
- 20% of searches are conducted by voice4
- Facilitates the information accessibility
- Very user friendly
- Further enables Google to lock in customers
- Convenient for consumers to use more Google products/services
- Compatible with other widely used services (Spotify, Uber, Pandora, Philips Hue, Youtube)
- Might be seen as to invasive
- Privacy issues
- Monopoly in data-driven personalized services
- Pioneer in growing machine learning and AI market
- Rising demand in quickly accessible information
Challenges / Threats
- Regulations on privacy and data collection
- Service is too new and unfamiliar to consumers
- Possibility of not entering mainstream marketplace
- https://madeby.google.com/home/ (accessed 6 Oct 2016)
- https://assistant.google.com/ (accessed 6 Oct 2016)
- http://mashable.com/2015/10/12/google-mobile-searches/#krjAdGDEgkqK (accessed 6 Oct 2016)
- http://searchengineland.com/google-reveals-20-percent-queries-voice-queries-249917 (accessed 6 Oct 2016)
- http://www.futureofmediaevents.com/2011/05/20/the-pros-and-cons-of-personalization/ (accessed 6 Oct 2016)
- http://searchengineland.com/the-pros-cons-of-personalized-search-10697 (accessed 6 Oct 2016)