Investor trends are not the same as predictive analytics because far too much stock market movement is merely knee-jerk reactions with precious little data to aim the kick. But there are those that think big data's very bad day in the stock market is a strong indicator of a slowdown in overall business spending. After all, the thinking goes, if the biggest, baddest, hottest tech – big data – isn't hitting earnings forecasts, then businesses must be seriously curtailing tech purchasing.
Like many self-employed freelancers, I spent last week hunting for a health insurance policy before the open enrollment period ended. Failure to buy a policy by January 31 would not only leave one with an extreme health risk, but could also result in penalties of $695 or more per person in the household when it comes time to file 2016 tax returns. A double whammy, as it were. But a funny thing happened on my way to secure a policy. But funny only in a peculiar and danger-laden sense. Here's what happened…
Security for IoT devices and software sucks so bad that there are now search engines for browsing webcams. Who needs to work hard at breaching your database when criminals can just use a specialty search engine to gather your data from IoT devices in real time?
The more things change, the more they stay the same. That old adage holds especially true when it comes to the IoT. Or at least it did at CES again this year where IoT data products were again in overdrive, many in outright overkill, and the same problems with data deluge still existed. Here's what needs to happen with IoT instead.
The ultimate value is in asking the right question, the perfectly formulated algorithm, and not in the bulk data. So why would you share that? And can you trust shared algorithms? Let's take a look.
The political winds have shifted, due mostly to GOP presidential candidates fanning the flames of fear, and government cyber spying is in vogue again. Congress included CISA in the omnibus spending bill passed by the House and Senate. President Obama signed it into law, and it is now known as the Cybersecurity Act of 2015.
In case you missed it, let me point you to a Fierce webinar titled "Real world evidence data: Getting to and acting on the right insights" that is now accessible on-demand. I am the moderator, and the two presenters are among the best in the pharma and healthcare industries. They covered information you likely haven't heard before. Even if you're not in pharma or healthcare, you'll find a lot of information here that you can use.
If you haven't seen the new edition of the Booz Allen Field Guide to Data Science, you're missing out on some great guidance. The recently released second edition updates the original guide published in 2013 and has added input from one of the country's top big data scientists: Kirk Borne.
2016 will see the rise of data strategists. Most will not be data scientists or data managers, but rather well-rounded, tech-savvy business strategists who know how to find and use information, much of which – but not all – will come from digital data sources.
Among the latest efforts on the path to life-saving cures is AWS's recent announcement of two new public data sets: The Cancer Genome Atlas and The International Cancer Genome Consortium PanCancer dataset. These are two of the world's largest collections of cancer genome data and they're both now available at no cost on AWS as part of the AWS Public Data Sets program.