Notes on disruption in clinical trial research from the NY Academy of Sciences Mobile Health conference
One of the hardest things for any industry to accept is that it can and will be disrupted. The tendency, especially in industries that have existed in much the same way for decades, is to think that processes have been perfected over time and that business will continue as usual. Even when new technologies arise loaded with data collection capabilities and analytics, many see them only as a means to add efficiencies rather than as a mode of change. And so it was that the message of impending disruption and how to adapt came as a surprise to some at the NY Academy of Sciences Mobile Health conference, and as welcomed information to others.
Yes, the conference season is in full swing. This week, several tech conferences are in NYC, including the Strata + Hadoop World conference, the NY Academy of Sciences event on "Mobile Health: The Power of Wearables, Sensors and Apps to Transform Clinical Trials," Bloomberg's Data for Good Exchange event and Pepcom's Holiday Spectacular! East event. There's probably more events than those four this week, but those four alone are blockbusters!
It's always insanely busy at the conference and planning ahead of time is crucial. So, if you have news to release at Strata, please email me an embargoed release or announcement ahead of the event. After that, we can discuss meetings and interviews and such. Be sure to include contact info that enables me to find you quickly during the event.
If you're interested in learning practical and useful information on getting the most out of biometric data from wearables, sophisticated implantable medical devices, clinical sensors and mobile apps, you'll no doubt want to join me at a conference on this topic being held at the NY Academy of Sciences starting on Sept. 30.
POLITICO and McKinsey & Company pulled together a group of technology leaders to determine how and if Washington has a role in the Internet of Things. The report that came out of that thinkfest proved interesting indeed.
Big advances are just as likely found in analyzing what we are already doing, and in finding and cutting the things we thought worked, but actually don't. Case in point: new research found up to 60,000 American women diagnosed with early stage breast cancer unnecessarily undergo lumpectomies, mastectomies, or double mastectomies.
If you're writing Hadoop jobs using Gradle as your build system, you'll likely want to check out this plugin.
The 2015 Joint Statistical Meetings is happening in Seattle this week. A glance at the agenda offers significant insights into just how far big data and statistical advances are affecting everyday life now – from personalized medicine to the human microbiome and health care to demographic analysis and business analytics to law enforcement.
For many companies, big data amounts to a black hole wherein a lot of data is sucked in never to be seen again. Fortunately some of those companies are already on their way to sorting that problem out – cleaning and labeling data and setting the data center to rights so that the data can be found and analyzed. But today, we're going to ignore the black hole and focus on the opposite challenge: the pigeonhole problem found in outputs.
The first deployment was of Nuance's Vocal Password product wherein customers speak a simple passphrase; the second phase was a deployment of the FreeSpeech product that matches the caller's voice to voice patterns in the database. How did taxpayer voice patterns get into a government database? The taxpayers themselves put them there.