After all these years and new tools constantly being released, corporate collaboration is still not solved. Collaboration in large corporations is unstructured and scattered all over, without any form of measurement of productivity, information or impact.
Your business is making decisions only on 20% of the information you have access to, this since 80% of your information is unstructured and up until now not able to be fully utilized. It is about time we start to make decisions for our company based on all information we have, not only 20%. All else would be quite stupid, wouldn’t it?
The competition in understanding natural language from unstructured text is thickening. Let us see how Watson Natural Language Understanding and Google Natural Language API compare to each other. Let us start with a head to head comparison with a real example.
Using the short-tail, long-tail and human-tail method described in this post will result in a chatbot that can save wast amount of time and help people focus on the quality work instead of frequently re-occurring task. Also, chatbots are companions, not human replacements.
The 11th of May 1997 IBMs supercomputer Deep Blue beat the current world champion, Garry Kasparov, in chess. IBM Research released a little re-cap of the event and what has happened over the years up until today and Watson, that was launched to fame in similar manner, by winning Jeopardy in 2011.
Since publishing the post on what languages Watson supports and how much Watson actually cost, those posts have generated outstanding most visits on this blog. Since Watson is constantly updated I thought it was time to update those posts since the Watson language post is from Dec 2015 and the Watson price / cost post is from August 2016.
I have wanted to share this for a while and it never seemed to be the right moment. Well, here it is! This is an IBM Watson-powered cognitive financial companion for your complex financial life. The video walks you through a day in your life with your financial lifestyle companion.
Yesterday I wrote a lengthy ramble on what we need to change with the internet today. Much was about how we and others use our personal data to mislead us (propaganda, fake news, alternative facts, behavioral analysis and psychometrics), but then I realized that I have actually written about this before, more than a year ago.