Podcast: Technology Networks & ACD/Labs Get To the Bottom of Data Heterogeneity

Andrew Anderson and Graham McGibbon sat down with Jack Rudd, senior editor at Technology Networks, to discuss the issue of data heterogeneity as well as some of the other challenges associated with modern labs and businesses. While there seems to be a general appreciation of the problems related to Big Data, it has become clear that the complications caused by data heterogeneity—or the different types and/or compositions of data—are often overlooked. Here are some of the specific questions covered during the conversation:

• What does heterogeneity of data mean, exactly?
• Besides heterogeneity, what are some of the challenges that modern labs and businesses still need to overcome?
• What are some of the ways labs and businesses have dealt with heterogeneity up until now?
• What are the specific benefits of data standardization?
• How do ACD/Labs' offerings tie into and facilitate data standardization?