Artificial Intelligence Now Tracking Conversations on Social Media

Salorix has a new analytics tool called Amplify, this new tool is built based on machine learning relating to artificial intelligence and it is designed to operate on learning data acquired via social networking. The way it works by searching social media data involving user conversations and interactions that contain keywords based on specific search terms that flagged by any monitoring business. Furthermore, this analysis tool also searches for conversations that may be related and of interest to products and services that a business may be currently providing.

Amplify works as a supervised machine learning where the criteria for searching relevant conversations is based by scores given on a large data set of tweets that were made available publicly as interactive data. In order to improve its accuracy it bases its scores on input by humans that have voted relevance results. Users of Amplify can also further fine tune scores so that the program is as best and efficient as possible. it as the program works for them.

A direct consequence of this new solution, is that for marketers they can utilize the information to direct their campaigns to a relevant audience that is engaging and influential on their business services or products.
Feel free to add your comments to this post, thank you.

IBM Brings High Power Intelligence to Mobile Devices

IBM is attempting to provide mobility usability to its high power somewhat perceived intelligent business machines by providing its Watson to be implemented on smartphones or at least a mobile small version which would connect to the big brother for data analysis and complex processing. In this context, it then follows that mobile capabilities will in some ways help users and technology interact in a more understandable communication and interactivity by increasing current capabilities and data complexities.

Interesting developments will follow, nevertheless it can be anticipated that science analysis will gain and benefit with a larger testing field and implementations such as described in Bloomberg reports.

The Watson is capable of operating is by searching many of sources in real-time and recognizing patterns, with some preconceived interpreting rules that can provide good results. Thus, even in the cases where the user feels that an answer or conclusion would be difficult to reach, a good example is here.  The next stage will be the Watson 2.0, which is currently in development, so that it can perform at more energy-efficient levels as a application. source San Francisco Chronicle