While it may be reassuring to know that data is being held for a specific purpose, how can one be sure of its security?
Is it acceptable to discriminate against people based on the data we have on their lives when all is known ? We use credit scoring to decide who can get credit, and insurance is heavily data-based. We would expect it to be analyzed and evaluated in greater detail, and it is important to note that this is not done in a way that makes life malaysia phone number example more difficult for those with fewer resources and access to information.
The Big Data we are now creating contains a lot of information about our personal lives. Increasingly, we need to strike a balance between the amount of personal data we are exposing and the convenience offered by applications and services powered by Big Data.
OUR SUBJECT IS NOT SYMPATHETIC, NOT ANTIPATHETIC; OUR SUBJECT IS SEMANTIC SEARCH
Today, search engines have made significant progress in understanding user searches. Google, in particular, has integrated its technology into voice search, analyzing the user's natural language and perceiving what people are doing and wanting to do. With voice search coming to the forefront, people are using their natural language when they search using voice commands, and since these queries are conveyed in the same way they speak to other people, search engines are trying to adapt to this.
What we call semantic search is used to help search engines better interpret and process queries made using natural language. Semantic search tries to improve search results by perceiving people’s intent and the meaning of terms in relation to each other. It takes into consideration many points, from the context of the search to location, from the purpose to the variations of the words themselves. It provides the closest results to the information you want to reach by using the semantics of the language you are searching in. It does not create a list of pages containing keywords for you, but brings you together with the most accurate search results for the information you want to reach.
In fact, the foundation of this algorithm was laid with the Humminbird update activated in 2013. Google, which now measures how relevant a site is to a searched word instead of how often a word is used when ranking sites in search engine results, has managed to list much more accurate results in this way with artificial intelligence software. On the other hand, one of the biggest components of the aforementioned Humminbird update was recorded as RankBrain.