Según proyecciones del reporte Big Data Analytics de Strategy Analytics, durante 2016 las empresas van a invertir más de 40 mil millones de dólares en soluciones de Big Data. Las nuevas experiencias analíticas son el camino que están encontrando las empresas para imaginar, crear e innovar a partir de su
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
A soccer fairy tale Imagine it's Soccer Saturday. You've got 10 kids and 10 loads of laundry – along with buried soccer jerseys – that you need to clean before the games begin. Oh, and you have two hours to do this. Fear not! You are a member of an advanced HOA
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 it’s obvious that chickens hatch from eggs that were laid by other chickens, what’s less obvious is which came first – the chicken or the egg? This classic conundrum has long puzzled non-scientists and scientists alike. There are almost as many people on Team Chicken as there are on Team
.@philsimon on the specific risks to data quality posed by cloud computing.
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
Analistas y expertos en Big Data de todo el mundo coinciden en la importancia de potenciar el capital humano y desarrollar profesionales más preparados. Cada persona tiene aptitudes para realizar diversas actividades como natación, equitación, tenis o, incluso, destacar en el ámbito profesional ofreciendo mejores resultados en tareas determinadas. Ahora
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
Todo el mundo está hablando de Hadoop, analítica y big data. Según el analista IDC, el mercado de soluciones de big data y analítica en América Latina representó 661 millones de dólares en 2014. Se espera que la adopción de las soluciones de analítica y big data se incremente como
Even the most casual observers of the IT space over the last few years are bound to have heard about Hadoop and the advantages it brings. Consider its ability to store data in virtually any format and process it in parallel. Hadoop distributors, such as Hortonworks, can also provide enterprise-level
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
¿Alguna vez ha estado en una reunión que comienza con personas que comparten pensamientos e ideas, ideas van y vienen y no se concluye nada? ¿Reuniones en las que todo el mundo piensa que su información es correcta y el tiempo se va dedicando a discutir cuál camino seguir? Este
Anknüpfend an meinen Einstieg in die Big-Data-Welt und nach meiner Reise in die Vergangenheit mit „In-Memory“ hat mich die Neugier gepackt. Was hat es mit anderen Technologien auf sich, die gerade dabei sind, unsere Welt zu revolutionieren? Blicken wir zunächst einmal auf „Event Stream Processing“ (ESP). Ein Thema, das gerade
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
Es increíble ver cómo cada vez más organizaciones se dan cuenta de la necesidad de optimizar su atención a cliente y subir este servicio a lista de factores que representan ventaja competitiva. Sabiendo esto, un importante número de empresas han recurrido al uso de inteligencia artificial y realidad virtual. Recientes
Big-Data-Definitionen und -Herleitungen à la drei, vier oder noch mehr „V”s gibt es zur Genüge, alle wohldurchdacht und stimmig. Ihnen allen gemein ist aber die generelle Einordnung des Themas als Zukunftsinitiative. Übertrieben gesagt: weg vom Rechenschieber hin zur künstlichen Intelligenz, die alles perfekt entscheidet und aus dem Nichts heraus neue
At a recent TDWI conference, I was strolling the exhibition floor when I noticed an interesting phenomenon. A surprising percentage of the exhibiting vendors fell into one of two product categories. One group was selling cloud-based or hosted data warehousing and/or analytics services. The other group was selling data integration products. Of
Streaming analytics is a red hot topic in many industries. As the Internet of Things continues to grow, the ability to process and analyze data from new sources like sensors, mobile phones, and web clickstreams will set you apart from your competition. Event stream processing is a popular way to
Wenn es einen Begriff gibt, der in den letzten Jahren die IT-Branche außergewöhnlich geprägt hat, dann lautet dieser bestimmt „Big Data“. Kaum jemand konnte sich den unzähligen Beiträgen entziehen, das Thema war und ist in aller Munde. Auch ich selbst durfte das eine oder andere Mal von den berühmten Big-Data-„V“s erzählen.
The importance of data analytics in the UK public sector and wider society was in the spotlight earlier this year, following a report from Policy Exchange. It called for elected mayors to set up an Office of Data Analytics. If enacted, these teams of experts will have one central aim:
Viele Themen, die heute durch den Big Data Trend besetzt werden, sind nicht neu, sondern wurden und werden unter dem Oberbegriff Business Intelligence (BI) verwendet. Auch bei BI spielen große, heterogene und unstrukturierte Datenmengen eine wichtige Rolle.
Our colleagues at the SAS office in Korea recently had the opportunity to interview two customers from KT, one of the biggest telecommunications companies in Korea, about getting SAS certified. Sung-chul Hwang and Gyu-seob Lee both have four SAS certifications – Base Programmer, Advanced Programmer, Statistical Business Analyst and Predictive
I've been doing some investigation into Apache Spark, and I'm particularly intrigued by the concept of the resilient distributed dataset, or RDD. According to the Apache Spark website, an RDD is “a fault-tolerant collection of elements that can be operated on in parallel.” Two aspects of the RDD are particularly
There’s been quite a lot of chatter lately about my Boston Red Sox and their recent shift ‘away’ from using analytics or ‘sabermetrics,’ as data science is often referred to in baseball (Jeff Passan, one of my favorite baseball writers, chimes in here – Forbes also commented that the Sox are
¿Cómo las empresas pueden gestionar adecuadamente su gran volumen de información? ¿Están los datos de su organización listos para convertirse en la clave para alcanzar sus objetivos empresariales? ¿Cómo tomar las mejores decisiones a partir de la analítica? No cabe duda, en un mundo cada vez más conectado el Big
