{"id":47542,"date":"2014-09-30T11:56:45","date_gmt":"2014-09-30T15:56:45","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=47542"},"modified":"2014-10-02T09:23:59","modified_gmt":"2014-10-02T13:23:59","slug":"meet-amelia-the-computer-thats-after-your-job-curtis","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2014\/09\/30\/meet-amelia-the-computer-thats-after-your-job-curtis\/","title":{"rendered":"Meet Amelia: the computer that’s after your job [Curtis]"},"content":{"rendered":"

\"Amelia-computer-after-jobs-9-2014\"<\/a><\/p>\n

Excerpt:<\/em><\/p>\n

\u00a0“Amelia, on the other hand, started out not with the intention of winning Jeopardy, but with the pure intention of answering the question posed by Alan Turing in 1950 \u2013 can machines think?”<\/p>\n

…<\/p>\n

While most \u2018smart machines\u2019 require humans to adapt their behaviour in order to interact with them, Amelia is intelligent enough to interact like a human herself. She speaks more than 20 languages, and her core knowledge of a process needs only to be learned once for her to be able to communicate with customers in their language.<\/p>\n

…<\/p>\n

Amelia has already been trialled within a number of Fortune 1000 companies, in areas such as manning technology help desks, procurement processing, financial trading operations support and providing expert advice for field engineers.<\/p>\n

In each of these environments, she has learnt not only from reading existing manuals and situational context but also by observing and working with her human colleagues and discerning for herself a map of the business processes being followed.<\/p>\n

 <\/p>\n

From DSC:<\/span><\/em><\/p>\n