data science in big data world the natural language processing community has had success in entity recognitiontopic recognitionsummarizationtext completionand sentiment analysisbut models trained in one domain don' generalize well to other domains even state-of-the-art techniques aren' able to decipher the meaning of every piece of text this shouldn' be surprise thoughhumans struggle with natural language as well it' ambiguous by nature the concept of meaning itself is questionable here have two people listen to the same conversation will they get the same meaningthe meaning of the same words can vary when coming from someone upset or joyous machine-generated data machine-generated data is information that' automatically created by computerprocessapplicationor other machine without human intervention machine-generated data is becoming major data resource and will continue to do so wikibon has forecast that the market value of the industrial internet ( term coined by frost sullivan to refer to the integration of complex physical machinery with networked sensors and softwarewill be approximately $ billion in idc (international data corporationhas estimated there will be times more connected things than people in this network is commonly referred to as the internet of things the analysis of machine data relies on highly scalable toolsdue to its high volume and speed examples of machine data are web server logscall detail recordsnetwork event logsand telemetry (figure figure example of machine-generated data