by James Kobielus Openness, transparency, and agility are where the world is headed. However, these trends are problematic for those of us who have intellectual property – including software, data, and other products – that we seek to control access to for many legitimate reasons (e.g., our livelihoods depend on being paid for them). Open…
2013 is coming to an end and it has been a fantastic year here at DATAVERSITY. And in the spirit of the holidays, I want to dedicate this letter to all of our amazing subscribers and contributors for whom I am so thankful. We have worked hard to build more than a trade journal. We’ve…
by John Ladley Here are some phrases and comments I have heard at conferences and through other data governance-related interactions with people the last few months. “This is not rocket science, its easy, so get it done.” “I am not a data person, so can we make it sound more like process?” “I want data…
by Sue Geuens It’s a question that I get asked a lot. How do we work out how much our data is worth? And of course, the answer is really that it is not as simple as it should be. The value of YOUR data is dependent on the value that you place on it.…
by Brett Neuman “In few a short years, your job will be obsolete.” We’ve all seen messages like that. It seems that every few years we get a rush of news stories about how the latest trends in technology are going to put us all out of business. The media loves to sensationalize the notion…
by James Kobielus Advanced mathematics can feel extremely detached from earthly reality until you realize how incredibly practical it is. The models and algorithms that power big data applications are largely mathematical constructs. If you tighten the equations that describe some patterned relationships, you might be able to radically accelerate some computer program that has…
by Ian Rowlands I was talking to some very smart people about a knotty metadata problem yesterday. It eventually got to the dinosaur (me) explaining to the bright young things (everyone else) about how old-fashioned mainframe programs worked – and as I talked about the way COBOL handled datasets, records and fields it really brought…
Did you hear the news? DATAVERSITY acquired SemanticWeb.com and the SemTechBiz Conferences. Very exciting for us to bring back this level of education on Semantic Technologies into the fold. Tony Shaw, our CEO and Founder, said this in the Press Release: “We are pleased to be engaging again with the community of semantic technology professionals…
by Christine Denney Recently, I received an inquiry as to whether there really were success stories with MDM or whether MDM implementations were destined to fail. My answer as to whether there were success stories was a resounding “YES!”, but I was left wondering what prompted the inquiry in the first place. Over the years,…
by James Kobielus Data scientists are human, from what I’ve seen. The same can be said about the subject-matter domain specialists who work hand-in-hand with data scientists. Sometimes one and the same human performs both functions. Sometimes it is different humans engaged in a very wetware-intensive collaboration. Humans are only human. We have limited capabilities,…
