Latest Commentary

Millennials: The greatest risk to corporate data

According to a U.S. mobile security study, millennials are a greater risk to corporate data security than other user demographics. The findings between generational behaviors are likely to be counter-intuitive to many who assume younger generations to be more knowledgeable and more aware of security threats in mobile tech use than older generations. So much for gut-instinct, eh?

Breaks and exits

I'll be back in a week. Meanwhile, check out the great work by my colleagues in FBD this week. 

The Internet is 3 billion users and 4 Terabit/s strong

The scary thing is that there's so much more real-time traffic to come on every Internet exchange since the majority of humans have yet to come online and neither has the billions of devices in the IoT.  

Banks get a clue about big data

As things were going, banks had roughly the shelf-life of a new car. They might have made it to 10 years and +100,000 miles--maybe.  While the very big question of whether or not they can innovate fast enough to survive still looms, they are beginning to figure out some things at least. 

Copernicus Masters competition wants big data fueled ideas and markets for space data

What makes this contest in particular interesting is that the organizers are stretching beyond the expected applications in agriculture, construction and renewable energy by also deliberately inviting new services and products in "forward-thinking segments such as big data, cloud computing, crowdsourcing, data visualization, mobile applications, and more."

Amazon Machine Learning takes on IBM's Watson, Google's Prediction API and Microsoft's Azure Learning

As expected, machine learning is making its way to the masses. But first it's coming to developers free of any need to master statistics first. And, boy, is the field getting crowded with giants. 

The Indiana anti-gay law effect and the dark side of big data consumerization

Once big data becomes fully consumerized, it will be possible for anyone to identify anyone based on anything from religious affiliation, sexual preference, political association, even something as trivial as rival sport team fanhood, which can then be used by individuals to discriminate against entire groups of people. Everyone will be at risk from someone. In a world totally deprived of privacy, there is little to no protection from those that vehemently disagree on basically anything.

 

 

Going to Enterprise Data World? Send me your news

If, like me, you'll be attending the EDW conference this week in Washington, D.C. and you have news to share, please email me that information with your contact info so that I can reach you at the event or follow-up with you afterwards. As to the rest of you dear readers, stay tuned for news rising out of this event. 

Editor's Corner: Zappix launches self-service app authoring tool

App analytics help developers promote their apps but a new self-service authoring tool makes it possible for non-developers to make mobile apps to compete with developers' apps. 

Big data personality quiz--Benchmarking tool matches how you think with a specific C-suite role

Big data is hard work and it's changing everything, even the way you think. So how can you assess how your new way of thinking measures against those in the C-suite? One way might be to use a new benchmarking tool from the Economist Intelligence Unit and Platfora to "find out where you fit in to the spectrum of C-Suite understanding of big data."