This past week was an exciting one in data. There were a lot of good articles published and we found several of them interesting enough to include in this week's round-up. In this week's round-up:
- Kurzweil joins Google
- Big Data's Biggest Obstacles
- Operations, machine learning and premature babies
- How To Augment Predictive Analytics with Human Intelligence
- Define your big data strategy with these key steps
Renowned futurist and inventor, Ray Kurzweil, confirmed this week that he will be joining Google as Director of Engineering to work on new projects involving machine learning and language processing. This article has the announcement and some quotes from Kurzweil about the partnership.
This Harvard Business Review article highlights some of the main obstacles encountered when dealing with Big Data. Some of the obstacles they highlight include problems having to do with correlation, human understanding, data privacy, and more.
This O'Reilly article talks about the work that IBM is doing in neonatal intensive care, specifically their use of machine learning to predict dangerous infections in infants before any symptoms appear. This is a great example of how machine learning is being used to make a real difference in a way that humans would not be able to do on their own.
When you combine predictive analytics with human intelligence, you get powerful decision-making solutions. This Smart Data Collective article provides a brief overview of this topic as well as a few examples of how the two can be combined to achieve more profitable outcomes for a business.
We're always on the lookout for good articles about how data fits into business strategy. This article lists 6 steps you can take to make sure you have a solid data strategy in place.
That's it for this week. Make sure to come back next week when we’ll have some more interesting articles! If there's something we missed, feel free to let us know in the comments below.