Noise: IT’s Silent Killer?

Lacking a meaningful way to make sense of all the data that the modern technology stack generates, the data can quickly overwhelm an IT operation’s ability […]

VIDEO: Crypto Supports Crime???

By The Crypto Show In this episode of The Crypto Show, Danny has a short debate with Jason Bloomberg about the ethics of cryptocurrency and talks with […]


Translation by infosws 文章摘要:尽管AI前途广阔,但在发展过程中也遇到了一些发展痛点。如果人们不知道AI是如何做出决策的,那么人们就不会信任AI。 尽管AI前途广阔,但在发展过程中也遇到了一些发展痛点。除了笔者在之前文章中提及过的偏见问题,还有一个“黑匣子”问题:如果人们不知道AI是如何做出决策的,那么人们就不会信任AI。 事实上,缺乏信任是很多AI技术失败的关键,如IBM Watson,尤其是Watson for Oncology。 专家们很快就知道了问题所在。“IBM尝试向癌症医生推广他们的超级计算机程序,但是这是一个公关灾难,”谷歌UX研究人员兼 Avantgarde Analytics的创始人Vyacheslav Polonski(博士)说道:“Watson for Oncology的问题仅仅在于医生并不信任它。” 当Watson的结果和外科医生得出的结果一致时,它能够证实这一情况;当Watson的结果和医生的不一致时,医生只会认为它是错误的。 如果医生知道它是如何做出结论的,那么结果可能会大相径庭。“对于大多数人来说,AI的决策过程通常都是很难理解的,”Polonski说道:“和我们不理解的事物互动会导致人们产生焦虑,就好像我们失控了。” Read the entire article at

Finding Your Application Modernization Balance

In today’s always-on world in which technology is now a chief driver of competitive value, organizations must strike a new balance and find a way to do it all — especially tackling the modernization efforts that they have put off for far too long.