I have been following the news articles about how the artificial intelligence industry are getting scouts to find high quality employees. I am starting this discussion to present the theory that domainers posses unique linguistic skills to have the potential to be very valuable workers in the Artificial Intelligence industry. I have a theory that I call #TheBigFour. This is as below:
#TheBigFour
1. Hardware
2. Software
3. Source Data
4. User Data
In particular, I am talking about source data. A common method for getting source data is AI businesses scraping the internet for as much data as possible. My case is that scraped data is usually low to medium quality and rarely high quality. This is where I see domainers having unique skills in developing intuitive knowledge about the values of words and key words that can assist in the development of growing areas of high grade source data.
I am presenting the case here that I believe that there are many people in Namepros who carry the skills and knowledge that helps distinguish high grade knowledge and low grade knowledge. Domainers have deep connections of understanding on the power and impact certain words have. Many of these skills involve developing the ability to intuitively navigate within language systems to identify what parts of language are valuable and what parts aren't.
I also know that my Namepros members have unique software skills that are built on analysing domain names. It is my position that a strong case can be built that #ArtificialIntelligenceScouts should consider specialising in being #DomainerScouts to find the domainers who have valuable skills that can be used to improve the quality of #ArtificialIntelligence development. I believe that optimising source data for AI is a growth area of opportunity that needs specialised skills. I am postulating the theory that it is a sound financial decision for artificial intelligence companies to look through forums like Namepros when looking for people with unique skills.
#TheBigFour
1. Hardware
2. Software
3. Source Data
4. User Data
In particular, I am talking about source data. A common method for getting source data is AI businesses scraping the internet for as much data as possible. My case is that scraped data is usually low to medium quality and rarely high quality. This is where I see domainers having unique skills in developing intuitive knowledge about the values of words and key words that can assist in the development of growing areas of high grade source data.
I am presenting the case here that I believe that there are many people in Namepros who carry the skills and knowledge that helps distinguish high grade knowledge and low grade knowledge. Domainers have deep connections of understanding on the power and impact certain words have. Many of these skills involve developing the ability to intuitively navigate within language systems to identify what parts of language are valuable and what parts aren't.
I also know that my Namepros members have unique software skills that are built on analysing domain names. It is my position that a strong case can be built that #ArtificialIntelligenceScouts should consider specialising in being #DomainerScouts to find the domainers who have valuable skills that can be used to improve the quality of #ArtificialIntelligence development. I believe that optimising source data for AI is a growth area of opportunity that needs specialised skills. I am postulating the theory that it is a sound financial decision for artificial intelligence companies to look through forums like Namepros when looking for people with unique skills.
















