Healthcare fraud is conducted by a variety of perpetrators and in a
number of ways, creating complex layers of transactional data. As a
result, investigators and analysts must analyze tremendous volumes of
disparate data that is often stored in multiple sources to uncover
IBM i2 solutions will help you quickly organize and consolidate data
from various sources, identify trends, and actively track illicit
operations. With IBM i2 you can efficiently differentiate legitimate
claims from fraudulent ones.
With more than 4,500 customers in 150 countries, i2 is a leading
provider of intelligence analytics for crime and fraud prevention based
in Cambridge, UK with U.S. headquarters in McLean, Va. i2’s clients
span multiple sectors globally such as banking, defense, health care,
insurance, law enforcement, national security and retail. i2 solutions
are currently used by 12 of the top 20 retail banks globally and eight
of the top 10 largest companies in the world.
Organizations in both the public and private sectors today are facing
an exponential increase in “big data” -- information and intelligence
coming from disparate and unstructured sources including social media,
biometrics and criminal databases. When it is accessible to the people
who need it, this information can be used to anticipate potential
problems, make better, faster decisions, and coordinate resources to
deliver exceptional service to citizens and customers.
IBM is introducing on Tuesday a new line of mainframe computers, adding yet
another chapter to a remarkable story of technological longevity and
The new model, the zEnterprise EC12, has strengthened the traditional
mainframe’s skill of reliably and securely handling vast volumes of
transactions. That is why the mainframe is still the digital workhorse
for banking and telecommunications networks — and why mainframes are
selling briskly in the emerging economies of Asia and Africa.
The new models have added capabilities for computing chores that are
growing rapidly, like analyzing torrents of data from the Web and
corporate databases to predict consumer behavior and business risks.
Name a trend in corporate computing — cloud computing, data center
consolidation, flash-memory storage, so-called green computing — and
I.B.M. executives point to tailored features in its mainframe that
deliver the goods.
Silicon Valley is Ground Zero for the world-wide Big Data movement and IBM's Big Data organization is located right in Silicon Valley.
There are two ways to follow what IBM is doing with Big Data, and especially then IBM InfoSphere Big Insights.
With WorkLight, IBM moves briskly into the mobile space.
So what is Worklight? Well Worklight provides an open, comprehensive and advanced mobile application platform
for smartphones and tablets, helping organizations of all sizes to
efficiently develop, connect, run and manage HTML5, hybrid and native
applications It leverages standards-based technologies and tools and the
Worklight platform ships with a comprehensive development environment,
mobile-optimized middleware, and an integrated management, and analytics
console, supported by a variety of security mechanisms.
HTML 5 is a very hyped technology, but with good reason. It promises to
technological tipping point for bringing desktop application
capabilities to the browser. As promising as it is for traditional
browsers, it has even more potential for mobile browsers. Even better,
the most popular mobile browsers have already adopted and implemented
many significant parts of the HTML 5 specification. In this five-part
series, you will take a closer look at several of those new technologies
that are part of HTML 5, that can have a huge impact on mobile Web
application development. In each part of this series you will develop a
working mobile Web application showcasing an HTML 5 feature that can be
used on modern mobile Web browsers, like the ones found on the iPhone
and Android-based devices.
Although the article doesn't explicitly target Worklight, it would be the perfect environment in which to develop this app, since the Worklight Developer Edition is a free download..
Martin Lamonica writes on MIT Technology Review that An IBM-led research teams says that a combination of copper, zinc, tin,
and selenium (CZTS) could meet current thin-film efficiencies with more
IBM says it has made technical progress on a solar technology that researchers hope will yield efficient thin-film solar cells made from abundant materials.
IBM photovoltaic scientists Teodor Todorov and David Mitzi on Friday detailed the findings of a paper that showed the highest efficiency to date for solar cells made from a combination of copper, zinc, tin, and selenium (CZTS). Published in Advanced Energy Materials, the technical paper described a CZTS solar cell able to convert 11.1 percent of solar energy to electricity.
IBM Research - Africa will be IBM’s 12th global laboratory
and the first science and technology research lab on the continent
conducting both applied and far-reaching exploratory research. IBM
Research’s presence in Kenya will encourage and strengthen an innovative
culture, and engage local entrepreneurs and innovators to develop
solutions to the challenges faced by the people of Kenya, the
surrounding region and other fast-growing markets around the world.
One of the factors which makes the African market so important is the fact that it is mostly based on mobile computing and therefore has the potential to become a hotbed of innovation for the rest of the world.
Skillful use of Business Analytics and Optimization (BAO) is
increasingly becoming a key competitive advantage in solving today's
complex business problems. At this seminar we will take a
"use-case-centered" approach to selecting the most appropriate tools
from the IBM BAO portfolio, such as: Cognos, SPSS, and ILOG - matching
the business problem to the appropriate tool.
At this seminar an
optimal IT infrastructure for analytics will be featured, along with the
key role of the IBM InfoSphere Data Warehouse and Netezza in the IBM
BAO strategy. A number of key BAO "use cases" will be discussed, as well
as what products best fit a particular "use case".
will be given the opportunity during and after this event to: engage
with the IBM Innovation Center - Silicon Valley; Hone their own BAO
skills; and partner with IBM in the Business Analytics and Optimization
The announcement about the center is to be made Monday,
will be the fourth nation where I.B.M. has opened a research outpost in
the last two years, after Ireland, Australia and Brazil. The Nairobi
center will bring the number of I.B.M. research labs worldwide to 12. By
now, about half the company’s 3,000-member research staff is outside
the United States....
I.B.M. plans to build the lab up to 50 researchers
within five years. In addition, it will be the center for a “resident
scientist program,” which will bring in researchers from Nairobi and
elsewhere in Africa to collaborate with I.B.M. scientists. The
candidates can come from universities, government or industry, typically
for one-year stints.
Among other things, the highly interesting article mentions IBM's pivotal role in the Big Data space:
The combination of the data deluge and clever software algorithms opens the door to new business opportunities. Google and Facebook, for example, are Big Data companies. The Watson computer from I.B.M. that beat human “Jeopardy” champions last year was a triumph of Big Data computing. In theory, Big Data could improve decision-making in fields from business to medicine, allowing decisions to be based increasingly on data and analysis rather than intuition and experience.
Rising piles of data have long been a challenge. In the late 19th century, census takers struggled with how to count and categorize the rapidly growing United States population. An innovative breakthrough came in time for the 1890 census, when the population reached 63 million. The data-taming tool proved to be machine-readable punched cards, invented by Herman Hollerith; these cards were the bedrock technology of the company that became I.B.M.
Big Data. Rod A. Smith, an I.B.M. technical fellow and vice president for emerging Internet technologies, says he likes the term because it nudges people’s thinking up from the machinery of data-handling or precise measures of the volume of data.
“Big Data is really about new uses and new insights, not so much the data itself,” Mr. Smith says.
I.B.M. adopted Big Data in its marketing, especially after it resonated with customers. In 2008, Mr. Smith’s team put up a Web site to explain the Big Data theme, and the site has since been greatly expanded. In 2011, the company introduced a Twitter hashtag, #IBMbigdata. I.B.M. has a Big Data newsletter, and in January it published an e-book, “Understanding Big Data.”
Here at the IBM Innovation Center in Silicon Valley we support the IBM Big Data initiatives, like InfoSphere Big Insights.
if you have any questions about IBM's work with Big Data, just comment on this blog.