Voice Search and Big Data: Defining Technologies for 2017
I read “Voice Search and Data: The Two Trends That Will Shape Online Marketing in 2017.” If the story is accurate, figuring out what people say and making sense of data (lots of data) will create new opportunities for innovators.
The article states:
Advancements in voice search and artificial intelligence (AI) will drive rich answers that will help marketers understand the customer intent behind I-want-to-go, I-want-to-know, I-want-to-buy and I-want-to-do micro-moments. Google has developed algorithms to cater directly to the search intent of the customers behind these queries, enabling customers to find the right answers quickly.
My view is that the article is correct in its assessment.
Where the article and I differ boils down to search engine optimization. The idea that voice search and Big Data will make fooling the relevance algorithms of Bing, Google, and Yandex a windfall for search engine optimization experts is partially true.
Phi Beta Iota: There are three big problems out there: #GoogleGestapo (including Facebook and Twitter) corrupting all results for political as well as economic purposes (the USA is a test-bed for proving to Communist China that #GoogleGestapo can deliver a turn-key Censorship Board and supporting architecture to China); the fact that we process less than 1% of all data in hand and ignore 99% of the data that is not in hand; and the fact that machine intelligence is stupid — it does not do slang, dialect, subject matter expertise, or detect falsehoods.
See Also:
#GoogleGestapo @ Phi Beta Iota
