Many of my most successful data science projects happen by accident. You know, the little skunkworks that arose from a serendipitous hallway conversation where an important and urgent business problem meets a half-baked analytical idea. With a suitable dash of data and the right mix of office politics and corporate kung fu, a baby data-science … More Agile Data Science: On Opportunism
Having spent nearly a decade studying the design and implementation of declarative programming languages in a previous life, I get a bit frustrated whenever I see people getting religious about programming languages and platforms. In the data science circle, an active discussion is around Scala (on Spark) vs SQL (on parallelised relational databases). They are … More The Missing Data Science Language?
Judging by the muted response, the market is effectively assigning a near-zero probability on the threat of a war on the Korean peninsular. I think that is likely misguided. There is certainly very low probability of an US-initiated preemptive strike — the strength of the soft institutions in the US will guarantee that, regardless of … More The Real North Korean Threat?
Congratulations to the ACSRI-led team for winning $50-million in funding from the Department of Industry, Innovation and Science to set up a new Cyber Security Cooperative Research Centre in Australia. It’s great to see the Australian government putting resources into a key research area that is increasing in importance as the world becomes more and … More Cyber Security Cooperative Research Centre
I put together this simple mapping of corporate leaders as a half-joke last week. I think there’s something in it for everyone. (I’m an ex-consultant so naturally I think anything that requires more than two dimensions is unnecessarily complicating things. That’s another half-joke. :P) Joke aside, there is a serious dimension to the post. Much … More Organisational Psychopaths
Most data science projects are doomed to failure before they even start. There are a couple of reasons. The aspiring data scientist and management may be drawn to a sexy problem rather than an important problem. The full range of data required to do a complete analysis may be inaccessible or even non-existent. And even … More Agile Data Science: Don’t Let Your Model Die in a Powerpoint Presentation