Insurance is a tough marketplace, but in many respects reinsurance is tougher! Today, the reinsurance industry is faced with an unprecedented number of challenges especially with what appears to be an increasing frequency and severity of man-made and natural catastrophes. To combat these challenges, reinsurers are turning to technology for
I've got scale on my mind! While speeding down the rails from Brussels to Paris on the TGV (the sleek, high-speed train), the scale of speed is breathtaking. In previous generations, going from Brussels to Paris for a single-day meeting would have inevitably involved a plane, with check-ins, security, travel
While the growth of big data is an issue that preoccupies both the public and private sector, it’s also high on the UK government’s legislative agenda. All eyes are currently on the authorities, as we wait with bated breath to see what’s next in the quest to manage data escalation.
In 2012, the value of big data equity in the UK was estimated at £12 billion a year or 0.7 percent of the annual Gross Domestic Product (GDP). Four years flew by and the second report by the Centre for Economics and Business Research (Cebr) puts the opportunity at £46
Machine learning is not new. SAS has been doing it for over 20 years and some early machine learning papers date back to the 50’s. So why is it one of the hottest topics at the Strata Hadoop World conference later this week? Clearly, Hadoop is playing a major role
A few years ago, in the height of my workaholism, I took up a hobby. I go to sketchy neighborhoods around L.A. and hang out with dogs I don’t know. I have a long history of adopting and fostering shelter dogs, often getting them out on their “euth dates.” With
Lately there seems to be a surge in the term machine learning. Much like big data a few years ago, machine learning is the new buzzword -- and the two terms actually go hand in hand. With increasing volumes of data now stored in distributed environments such as Hadoop, it's
If a picture is worth a thousand words, then visualizing data in Hadoop would be like a billion. Over the last few years, organizations have rushed to leverage the low-cost distributed computing and storage power of Hadoop clusters. As Hadoop environments mature and move away from their initial focus of
According to Lloyd Dean, president and CEO, "At Dignity Health, we are committed to developing partnerships and opportunities that harness the tremendous potential of technology, from improving the patient experience to providing caregivers with tools that will support their day-to-day care decisions." Dignity Health, one of the largest health systems
As the big data era continues to evolve, Hadoop remains the workhorse for distributed computing environments. MapReduce has been the dominant workload in Hadoop, but Spark -- due to its superior in-memory performance -- is seeing rapid acceptance and growing adoption. As the Hadoop ecosystem matures, users need the flexibility to use either traditional MapReduce
