Graph Grail is a platform that handles linguistic analysis. In Graph Grails view current linguistic analysis (in connection with data mining) is too limited in its scope to be useful for neural networks, and real-time information outside of digital media (weather, legal/political decisions, upset in company status quo…ect).
So how is Graph Grail going to improve on today’s limited data mining? Graph Grail is developing an AI that has the capability to handle processing data sets more efficiently and with more features then existing linguistic technology. The Graph Grail AI goal is to make a linguistic processor that will prepare, clean, build models and learn. The Graph Grail AI is supposed to make linguistics less labor intensive, meaning less proficient users should be able to achieve more accurate results then with current linguistic/data mining functions . A decentralized application (dapp) is under way as well, in which money can be made on the platform.
On the Graph Grail official website http://www.graphgrail.com there is a pop up for making your own NLP applications. I mistakenly thought NLP meant neuro linguistic programming, as that is a common
If Graph Grail can make a linguistic data processing AI that takes less training and maintenance then I can see how it would be a successful platform. I would like to point out (and I’m hoping Graph Grail can change this) that I don’t trust the current technology as far as data mining goes, although there have been times when it surprised me.
I think Graph Grail is an interesting project, though I’m not sure how to classify the risk factors. Data mining is a substantial industry, so the competition would be steep…then again, if Graph Grail could manage to show superior capabilities to current technology…
I recommend everyone interested have a look for themselves and form their own opinion…but don’t wait too long…
Graph Grail website http://www.graphgrail.com