The developerWorks Connections platform will be sunset on December 31, 2019. On January 1, 2020, this blog will no longer be available. More details available on our FAQ.
IBM Innovation Center Silicon Valley
Clicking the button causes a full page refresh. The user could go to the "Entry list" region to view the new content.)Entry list
Unstructured data pervades the world. In the past it was very time- consuming to digitize and then analyze unstructured data. Today, however, it unstructured data in the form of doctors' notes and similar information can easily be digitized. And once it is digitized pertinent information can be extracted though Apache UIMA
From there the data can be sent to IBM's SPSS analytics product where a predictive model can make predictions based on statistical analysis and Bayesian probability.
Easy to implement lightweight integration with heavyweight results
Starting out with IBM Smarter analytics is really easy.
1)Go to IBM AnalyticsZone and download IBM Cognos Insight. It is a free download.
2) Install IBM Cognos Insight, or let your five-year old do it, it is that easy. 3) Bring up IBM Cognos Insight (See next chart)
4) Note that IBM Cognos Insight has a drag and drop interface. 5) Now all we have to do is find a data source 6) Here are some sites with interesting data sources: data.gov
From data.gov we select a dataset showing electrical consumption by zip code in New York City in csv format.
We download it and drag and drop it onto Cognos Insight.
The result is shown on the left. We get the original data plus a graph that we can then drill down into.
We also quickly learn the importance of having internally consistent data.
Cognos Insight can handle a number of different data formats, such as xls, csv, asc, cma, report, tab, etc, but it expects the data to be consistent.
Cognos Insight gives us an easy and informative insight into the new field of Smarter Analytics. This is how we will work in the not too distant future. There will be data providers that will aggregate and curate data, like data.gov . It will then be an easy step to subscribe to their data feeds and then launch our analytics tool on the data.
IBM will be at the IBM Health Integration Framework at HIMSS 13 in New Orleans March 3-7. The IBM Health Integration Framework is a software platform based on industry standards. It supports IBM
and IBM Business Partner solutions and applications for providers,
health plans and life sciences organizations. These solutions leverage
common products and healthcare and life sciences extensions, so you can
add capabilities and functionality within or across departments – one
project at a time.
The framework supports a practical, progressive and flexible approach to business transformation:
Over time, project by project, you can move to
a simplified, agile, more strategic technology infrastructure to
support the changing needs of your business operations.
With each project, you can realize a return on investment over a shorter payback perod.
If you are an IBM business partner or just interested in what IBM has to offer in the healthcare space, stop by the IBM booth.
Need to prototype an HTML5 app? Forget coding.
Hand-eye coordination is just about all you need to
prototype with Maqetta,
a browser-based WYSIWYG tool for desktop and mobile applications.
This first article in a three-part series introduces this
free, open source project that runs in a browser and lets designers
drag and drop a rich set of widgets to build live UI mockups. In Part 1,
get to know Maqetta's major functions and features while prototyping a
realistic mobile application.
The Really Small Message Broker enables messaging to and from tiny devices such as sensors and actuators over networks that might have low bandwidth, high cost, and varying reliability. "Publishers" send messages to the broker, which then distributes the messages to the "subscribers" who have requested to receive those messages.
Really Small Message Broker has a "bridge" that enables connections to other MQTT-capable servers; this bridge allows messages to be passed between Really Small Message Broker instances as well as to other MQTT servers such as Lotus Expeditor micro broker ("Microbroker") and WebSphere MQ. Both Microbroker and Really Small Message Broker can run in embedded systems in order to provide a messaging infrastructure in remote installations and pervasive environments. However, Really Small Message Broker needs about 100 times less memory to run than Microbroker; therefore, it can extend the reach of the MQTT messaging infrastructure further.
An MQTT client for C is included. MQTT clients for Java and C are also available for download in the WebSphere MQ SupportPacs IA92 and IA93. The Java client in IA92 contains a useful MQTT Exerciser GUI sample. You can also write your own clients using the MQTT specification
MQTT is a machine-to-machine (M2M)/"Internet of Things" connectivity protocol. It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium. For example, it has been used in sensors communicating to a broker via satellite link, over occasional dial-up connections with healthcare providers, and in a range of home automation and small device scenarios. It is also ideal for mobile applications because of its small size, low power usage, minimised data packets, and efficient distribution of information to one or many receivers
The Really Small Message Broker is super easy to install, we just installed on Windows in less then five minutes, including the download, and then got started with the built-on command line clientsl
In the current global enterprise business environment, with the millions
of applications running across Apple iOS, Android, Windows Phone, and
other platforms, mobile marketing brings more business opportunities for
value added services but also brings more challenges to existing
systems. Data is being accessed at a rapidly increasing rate to service
mobile applications and the workload is becoming a burden to back-end
servers. This guide shows how you can use IBM® WebSphere® eXtreme Scale or the WebSphere DataPower®
XC10 Appliance to cache frequently used data, thereby improving the
performance of mobile applications and reducing the traffic to back-end
applications.
This is a brief (11 pages), well illustrated and easily accessable guide
Simplify and accelerate the
development, testing, and delivery of your mobile
apps with this free Eclipse-based visual
development and server environment. It supports
native, hybrid, and standard web development
methods and maximizes code reuse across iOS,
Android, BlackBerry, and Windows® Phone
platforms. The IBM Worklight Developer Edition is a self-contained, easy-to-install
plugin for the Eclipse IDE. While IBM Worklight Enterprise and Consumer
Editions consist of separate development environment and server
components, the Developer Edition packages them into a single Eclipse
download without the need to install database or application servers.
This edition is free for evaluation purposes. More on this link
IBM Innovation Center offers support for Worklight with classes and architecture assessments. Just let us know if you have any questions.
IBM SPSS provides algorithms to
recognize patterns that are identified in scientific literature about statistical
data analysis, such as artificial neural networks, supporting vector machines,
decision trees, and clustering algorithms.
The authors used data from the http://archive.ics.uci.edu/ml/ repository
(open to the general public) as well as MLP and SVM neural network algorithms.
A good example of how SPSS can be used in medicine.
Powered by Web 2.0, cloud, mobile and open source technology, programmer productivity continues to rise.
Instead of writing code from scratch, programmers have long been using object oriented programming techniques which put a premium on code re-use. Another productivity boost has come from frameworks like Ruby on Rails , the agile programming movement and Eric Ries and his Lean Startup movement.
Yet more productivity has come from Domain-specific languages, like Sinatra, implemented in Ruby, as well as similar DSLs in PHP like the SLIM microframework.
People find DSLs valuable because a well-designed DSL can be
much easier to program with than a traditional library. This
improves programmer productivity, which is always valuable. In
particular it may also improve communication with domain
experts, which is an important tool for tackling one of the
hardest problems in software development. CSS is an excellent
example of this, most people who program CSS don't consider
themselves to be programming. Despite this, however, I don't
generally think that end-users will usually write in DSLs
directly - it's the communication enhancement that's important.
DSL:s will undoubtedly evolve very rapidly in the next few years, and Sinatra and Slim are good starting points for anyone who wants to learn more about this very exciting area..
Computer-aided diagnostics is rapidly invading the medical field, and promising to revolutionize healthcare.
Katie Hafner writes in the New York Times about this exciting movement, and highlighting the contributions made by IBM's Watson technology:: Second Opinion, Consult a Computer?
I.B.M., on the heels of its triumph last year with Watson, the Jeopardy-playing computer, is working on Watson for Healthcare.
In some ways, Dr. Dhaliwal’s diagnostic method is similar to that of
another I.B.M. project: the Deep Blue chess program, which in 1996
trounced Garry Kasparov, the world’s best player at the time, to claim
an unambiguous victory in the computer’s relentless march into the human
domain.
Although lacking consciousness and a human’s intuition, Deep Blue had
millions of moves memorized and could analyze as many each second. Dr.
Dhaliwal does the diagnostic equivalent, though at human speed.
....
I.B.M.’s Watson for Healthcare has yet to focus directly on diagnosis.
The company is working with Memorial Sloan-Kettering Cancer Center to
teach Watson to interpret clinical information and, eventually, help
determine treatment. I.B.M. also recently began a collaboration with
Cleveland Clinic to broaden Watson’s analytical capabilities into the
area of medicine.
Dr. Martin Kohn, chief medical scientist for I.B.M. Research, is careful
to point out that Watson for Healthcare is intended to be “neither
omniscient nor omnipotent.” Yet, Dr. Kohn noted, most physicians set
aside five hours or less each month to read medical literature, while
Watson can analyze the equivalent of thousands of textbooks every
second. The program relies heavily on natural language processing. It
can understand the nature of a question and review large amounts of
information, such as a patient’s electronic medical record, textbooks
and journal articles, then offer a list of suggestions with a confidence
level assigned to each.
For physicians, Dr. Kohn said, one problem is what he calls “the law of availability.”
“You aren’t going to put anything on a list that you don’t think is
relevant, or didn’t know to think of,” he said. “And that could limit
your chances of getting a correct diagnosis.”
There are clouds and clouds. The IBM SmartCloud Enterprise is, as the name implies, a cloud that is focused at enterprise computing.
It is easy to try out with this 90-day trialy. Unleash the power of IBM's combined public infrastructure and platform services, along with select top-tier software images from IBM®.
This powerful combination of technology lets you develop and test applications quickly and easily; you can even take advantage of application patterns. IBM builds expertise into these application patterns that accelerate the development and delivery of new applications, eliminate manual errors, and drive consistent results.
Once your application is developed and tested, you can instantly deploy it to the IBM public cloud, SmartCloud Enterprise, or to a private cloud via IBM Workload Deployer, the same technology found in the IBM PureApplication™ System.
The choice is yours. Sign up now and start revolutionizing your application development today
There is plenty of debate about just how much Big Data analytics can
help businesses make smarter decisions to increase sales and cut costs.
Yet there seems to be no debate that there is already a shortage of
data scientists and business analysts to feed the Big Data boom.
I.B.M.
is taking a step to address that problem in the American heartland by
opening a new data analytics center in suburban Columbus, Ohio. The
center, announced on Thursday, will combine research, client services
and skills training.
I.B.M. says it plans to hire 500 analytics
consultants and researchers for the center over the next three years.
But the larger impact on the region’s work force will likely be college
students who work on projects at the center, and a partnership between
I.B.M. and Ohio State University to develop new course materials for
technology and business, and arrange teaching stints by Big Data
professionals.
IBM Global Entrepreneur - IBM Global Entrepreneur program IBM is interested in
partnering with startup software companies that are less than 5 years
old, privately held and are actively engaged in developing a technology
solution or service that align with our smarter planet vision.
As
part of our smarter planet vision, IBM is looking for entrepreneurs
with global ambitions to address world issues in energy, healthcare or
other key areas for building a smarter planet to solve enterprise
client’s biggest challenges. IBM Global Entrepreneur opens new doors
and resources to entrepreneurs who are bringing the next big idea to
market.
Participating in IBM Global Entrepreneur provides the following support and resources: - No charge software on-site or in the cloud - Unlimited Technical guidance from IBM Project Resource Managers to assist in product development - Mentoring and networking through the IBM Innovation Centers - Access to IBM industry insights and education to better understand the enterprise customer - Visibility as part of the IBM Smarter Planet agenda
IBM
is uniquely positioned to help with our depth or resources, global
reach and experience with the world’s largest enterprise customers.
Pam Sparks
Program Manager, NA Global Entrepreneur ISV & Developer Relations
IBM has developed codes that run on the Blue Gene series of computers that have ranked some of the fasted computers in the world (Top500.org), and also importantly, the most energy efficient ( green500.org).
To efficiently utilize massively these parallel machines, new decomposition strategies were developed to decompose the heart tissue into small pieces of equal work units that evenly distribute the work up to 32K computational cores.
Because cardiac cells must communicate with their neighbors, the interconnect network between nodes becomes highly critical for the ability to scale codes to very large numbers of nodes.
Performance Management Organizations need the very best tools and
disciplines to drive profitable growth, address regulation and risk.
IBM performance management solutions help transform slow, expensive and
disconnected performance planning and management processes into dynamic,
efficient and connected experiences, serving finance, line-of-business
and IT professionals alike and helping to create “analytics-driven”
organizations.
Learn about the strategy and innovation driving
our opportunities in the Office of Finance. We will discuss how Cognos
solutions help customers achieve their Performance Management needs.
You'll hear some success stories and take away tips on how to articulate
our strategy for financial performance management to prospects and
customers.
IBM is collaborating with WellPoint and Memorial Sloan-Kettering Cancer Center with the aim of showing how Watson can help physicians improve their delivery of cancer care to their patients.
Now, IBM is working with the Cleveland Clinic to demonstrate how Watson may be used to advance the medical training field.
IBM is collaborating with WellPoint and Memorial Sloan-Kettering
Cancer Center with the aim of showing how Watson can help physicians
improve their delivery of cancer care to their patients.
Now, IBM is working with the Cleveland Clinic to demonstrate how Watson may be used to advance the medical training field.
Watson, students – working side by side
Given the exponential growth in the volume of medical data, it’s
impossible for human medical students to be expected to memorize every
technical journal and text book available. In fact, based on current
estimates, the amount of medical information doubles every 5 years and
81% of physicians have indicated they can spend, on average, less than
five hours a month keeping up.1
Predictive Analytics is becoming increasingly important in the age of Big Data, and this workshop will give the participants the chance of learning how to implement a solution with IBM's SPSS and ILOG, starting with a use case and going thru implementation and deployment.
The workshop is primarily intended for IBM business partners and academics. No prior knowledge of predictive analytics is assumed.
With the onslaught of Big Data, analytics is rapidly becoming a key technology in today's enterprise.
With IBM Analytical Decision Management your organization can act with
confidence at the point of impact to improve outcomes. It empowers
workers and systems on the front lines to get the most out of every
customer interaction to profitably grow revenue, detect and prevent
fraud to reduce risk, and proactively manage resources to contain costs.
Integrating predictive analytics, local rules, scoring and
optimization techniques into your organization’s systems, IBM Analytical
Decision Management delivers real-time recommendations at the point of
impact so your organization can consistently drive better outcomes. This
platform does this by:
Enabling real-time, adaptive decision-making
Delivering recommended actions at the point of impact
Automatically assessing and optimizing resource trade-offs
This just released video video provides an in-depth view of IBM's Analytical Decision Management SaaS
IBM's Watson computer is a computer system capable of answering questions posed in natural languages.
Among other markets, it is being targeted at healthcare, and Steve Lohr writes in today's New York Times about how Watson now is expanding its footprint in that crucial area: IBM's Watson goes to Medical School
The
collaboration, announced on Tuesday, includes a bit of controlled
crowdsourcing, with the Cleveland clinicians and medical school students
answering Watson’s questions and correcting its mistakes.
“Hopefully,
we can contribute to the training of this technology,” said Dr. James
K. Stoller, chairman of the Education Institute at Cleveland Clinic. The
goal, he added, was for Watson to become a “very smart assistant.”
To read more about Watson for Healthcare, go to this link on IBM developerWorks: Watson and Healthcare
I.B.M.
scientists are reporting progress in a chip-making technology that is
likely to ensure that the basic digital switch at the heart of modern
microchips will continue to shrink for more than a decade.
The
advance, first described in the journal Nature Nanotechnology on
Sunday, is based on carbon nanotubes — exotic molecules that have long
held out promise as an alternative to silicon from which to create the
tiny logic gates now used by the billions to create microprocessors and
memory chips.
The I.B.M. scientists at the T.J. Watson Research
Center in Yorktown Heights, N.Y., have been able to pattern an array of
carbon nanotubes on the surface of a silicon wafer and use them to build
hybrid chips with more than 10,000 working transistors.
Hands-on Predictive Analytics Workshop with SPSS and ILOG in a Big Data World
When and where
14 nov 2012
-
14 nov 2012
09:00 a.m.
to
05:00 p.m.
Pacific Standard Time
1001 E. Hillsdale Blvd, Suite 400
Foster City CA
94404
United States
Description
Predictive analytics software helps organizations use data in their
daily decision-making to substantially improve outcomes. IBM Business
Analytics software delivers complete, consistent and accurate
information that decision makers trust to improve business performance.
IBM SPSS Predictive Analytics software helps organizations predict
future events and proactively act upon that insight to drive better
business outcomes.
In this one-day hands-on class we'll provide
an overview of IBM predictive analytics use cases, best practices and
architectures. We'll show you you can leverage the IBM SPSS product
portfolio in the predictive analytics space. At the end we will share
the different opportunities, options, and how you can engage with IBM in
the predictive analytics space.
IBM Social Business is 3D: Dynamic, Differentiated and Deep:
Tuesday, October 30, 2012 from 2:00 PM to 6:00 PM (PDT)
Foster City, CA
IBM Social Business is 3D: Dynamic, Differentiated and Deep:
IBM leadership: named #1 by IDC for 3 years; delivering outcomes to
60% of Fortune 100 & over 36,000 general business customers
First-of-a-kind IBM platform for Social Business: Connections 4,
Connections Suite, Intranet Experience Suite; mobile, integration,
Social Content, Analytics
Smarter Social Ecosystem: broadest ecosystem of partners; SDK for
IBM Social Business; "Ready for IBM Social Business" Solutions Showcase
Join us to learn about the IBM Social Business solution
portfolio and how you can reap the benefits of the emerging IBM Social
Business platform. Also learn more about the Ready for IBM Social Business
offering – a new program that en-ables independent software vendors and
system integrators to integrate their solutions with IBM's Social
Business platform and participate in the opportunity for social software
across all business processes.
Listen to roadmap & preview/demo of upcoming App Dev assets
Network with key IBMers involved in social App Dev
Discuss marketing opportunities
Register today by visiting the Partnering with IBM Social Business website: http://ibm.co/NCZMK7
Contact Laura Lazzarini at iic_siliconvalley@us.ibm.com if you have any questions.
IBM has claimed the top spot on the list of the world's 500 fastest supercomputers, and five of the top 10.
But the company is more concerned with providing the power to pursue
answers to "the grand challenges" than with raw speed, said Colin
Parris, general manager of IBM Power Systems. Grand challenges, or
questions, include how to predict earthquakes in time to take
precautions.
"We actually do the supercomputing capability because we're doing the
grand challenges," Parris said. "We don't set out to win one of these;
if what we do results in our client gaining the top spot, that's perfect
but that wasn't our intention."
The IBM Sequoia BlueGene/Q supercomputer, installed at the Department of
Energy's Lawrence Livermore National Laboratory, runs 16.32 petaflops,
using 1.6 million compute cores in 96 racks, each roughly the size of a
large refrigerator, Parris said.
At the same time IBM has built another highly interesting supercomputer for the National Center
for Atmospheric Research that will be used to accelerate the study climate change.
CHEYENNE, Wyo. — One of the world's fastest supercomputers is now at
work producing some of the highest-resolution modeling yet of everything
from weather and climate to energy resources and the ways in which
wildfires burn under varying conditions.
The new National Center
for Atmospheric Research supercomputer, called Yellowstone, is almost 30
times more powerful and substantially replaces its predecessor at
NCAR's Mesa Lab in Boulder, Colo.
A ribbon-cutting ceremony Monday
formally inaugurated the $30 million machine, which was developed by
IBM and ranks among the world's top 20 fastest. Located on the high
plains just west of Cheyenne, it's thought to be the world's fastest
computer dedicated solely to earth sciences.
Machine learning lies at the intersection of IT, mathematics, and natural language
and is typically used in big-data applications.
Chris Joakim at Primedia Inc has written an interesting article on developerWorks that discusses the Python programming
language and its NLTK library, and then applies them to a machine learning project.
IBM Social Business is 3D: Dynamic, Differentiated and Deep:
IBM leadership: named #1 by IDC for 3 years; delivering outcomes to 60% of Fortune 100 & over 36,000 general business customers
First-of-a-kind IBM platform for Social Business: Connections 4, Connections Suite, Intranet Experience Suite; mobile, integration, Social Content, Analytics
Smarter Social Ecosystem: broadest ecosystem of partners; SDK for IBM Social Business; "Ready for IBM Social Business" Solutions Showcase
Join us to learn about the IBM Social Business solution portfolio and how you can reap the benefits of the emerging IBM Social Business platform.
Also learn more about the Ready for IBM Social Business offering – a new program that en-ables independent software vendors and system integrators to integrate their solutions with IBM's Social Business platform and participate in the opportunity for social software across all business processes.
• Listen to roadmap & preview/demo of upcoming App Dev assets
• Network with key IBMers involved in social App Dev • Discuss marketing opportunities
IIBM introduces IBM PureData System—an expert integrated system built exclusively for delivering data services.
Optimized for analyzing big data in the cloud, the PureData System offers Enterprises the ability to comb big data for insights swiftly and efficiently and deliver innovation to speed business growth.
A simplified system for today's data demands
With the challenge of growing volume, velocity and variety of data used today in all aspects of the business - using a multi-purpose system for all data workloads is often not the most cost effective or low risk approach, and definitely not the fastest to deploy. The new PureData System is optimized exclusively for delivering data services to today's demanding applications.
Like each of the IBM PureSystems, it offers built-in expertise, integration by design, and a simplified experience throughout its life cycle.
In this interview recorded at the IBM Innovation Center in Silicon Valley, Stephen Kwan, Professor at the College of Business, San Jose State University, explains what are the most important skills needed by students today.
Does your startup’s solution address problems the world is facing in
areas such as energy, healthcare, or travel and transportation? IBM is
constantly looking to team with entrepreneurs building solutions for a smarter planet,
and our Global Entrepreneur Program can provide the support and
resources to help you change the way the world works. Here are six
reasons you should apply today.
1. Mentoring and networking through IBM Innovation Centers.
We’ll help you build, market, and sell your solutions with our online,
remote, and face-to-face training and assistance. Use our centers to
port and test solutions, close deals with your clients, and collaborate
with IBM, Business Partners, academic leaders, IT professionals, and
other entrepreneurs.
2. No charge software on-site or in the cloud.
You’ll have access to IBM’s entire software catalog, including
innovative Tivoli, Lotus, and Websphere products. A huge cost-saver for
your startup.
3. Unlimited technical support from IBM Project Resource Managers to assist in product development. With
their experience and expertise, our project resource managers can
analyze your company and your industry, and make recommendations on the
technology solutions that will work best for you.
4. Visibility as part of the IBM Smarter Planet campaign. The
Smarter Planet initiative is recognized the world around and you can be
a part of it. Our Global Entrepreneur members make headlines as well as
progress.
5. Access to IBM industry insights and education to better understand the enterprise customer. IBM
has a vast array of resources that can help you make well-informed
decisions that will keep your startup competitive in the marketplace.
6. Experience the benefits of PureSystems first-hand for free. Deliver
real business results, fast, through systems which are pre-integrated,
pre-configured, and designed to provide expertise with an overall
simplified experience. Learn more about our two no-cost options here.
In addition to SPSS Modeler, a data mining workbench that helps you build predictive models quickly and intuitively, without programming. the IBM SPSS product portfolio also has two other key components:
1) IBM Analytical Decision Management, whichempowers workers (such as call center agents and claims adjusters) and systems (such as websites andself-service kiosks) on the front lines to make the right decision each time:
Organizations of all types can maximize outcomes with IBM Analytical Decision Management, which enables you to: • Automatically optimize resource tradeoffs to ensure organizational goals are always met.
• Get the most out of every customer interaction to grow revenue and increase loyalty. • Predict and prevent threats in real time to mitigate the risk of fraud.
• Proactively manage assets and resources to contain costs by predicting equipment failure and adjusting staffing for downtime and service disruptions.
IBM SPSS Collaboration and Deployment Services makes it easy to deploy reliable analytics into key business processes so that people have the right information and can make smarter decisions. Through its real-time scoring service, you can deliver analytical results as customer interactions are occurring. Real-time scoring is optimized “in the moment” and includes the ability to cache data and models and handle multiple sources of input data, including historical information and information gathered during real-time interactions.
IBM Foster City is planning a hands-on class on these three funcationalities and if this is a subject that interests you let us know.
In 1972, the service’s high-temperature
forecast missed by an average of six degrees when made three days in
advance. Now it’s down to three degrees. ....
Perhaps the most impressive gains have been in hurricane forecasting.
Just 25 years ago, when the National Hurricane Center tried to predict
where a hurricane would hit three days in advance of landfall, it missed
by an average of 350 miles. If Hurricane Isaac,,
which made its unpredictable path through the Gulf of Mexico last
month, had occurred in the late 1980s, the center might have projected
landfall anywhere from Houston to Tallahassee, canceling untold
thousands of business deals, flights and picnics in between — and
damaging its reputation when the hurricane zeroed in hundreds of miles
away. Now the average miss is only about 100 miles.
Silver mentions The I.B.M. Bluefire supercomputer in his highly readable article.
Another important product in this space is IBM's product for predictive analytics: SPSS Anyone interested in SPSS or IBM's Big Data product portolio can contact any IBM Innovation Center for more information.
But what is it like to work at IBM Research, as a computer scientist, electrical
engineer or mathematician -- and to build your career
here? Read what IBM researchers have to say on the subject.
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
fraudulent activity.
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
business strategy.
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.
In order to help us get started writing enterprise apps in HTML5, Michael Galpin, Software Architect, ateBay has writen the first in a series of five articles on IBM developerWorks about Creating mobile Web applications with HTML 5,
HTML 5 is a very hyped technology, but with good reason. It promises to
be a
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
abundant materials.
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".
Attendees
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
space.
The announcement about the center is to be made Monday,
Kenya
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.
Big Data has become a worldwide meme, and New York Times Steve Lohr writes about Big Data: How Big Data Became So Big.
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.
First introduced at the 2012 PartnerWorld Leadership Conference, the Independent Software Vendor (ISV) Leadership Forum are interactive and holistic sessions that bring top IBM leaders and ISV executives together to discuss IBM's 2015 revenue growth initiatives.
These sessions, tailored to each IBM Innovation Center, are designed to share IBM's 2015 growth strategy and valuable insights on how to engage with IBM. The ISV Leadership Forums provide an opportunity for Business Partners to interact with IBM leadership through a combination of short presentations, discussion, and dialog.
Here are three videos from the recent ISV Leadership Forum at the IBM Innovation Center in Silicon Valley
SugarCRM's Chuck Coulson talks IBM partnership, cloud and PureSystems
San Jose State University professor Larry Gee talks about the importance of business analytics and cloud skills for today's students.
Amy Anderson, Manager, Cloud Partner Programs at IBM, describes the exciting new offerings around SmartCloud and PureSystems.
Mobile computing is transforming the enterprise as millions of people
on the go are accessing enterprise applications from smartphones and
tablets.
IBM WorkLight is an open mobile application platform
for smartphones and tablets, helping organizations of all sizes to
efficiently develop, connect, run and manage HTML5, hybrid and native
applications. The platform ships with a comprehensive development
environment, mobile-optimized middleware, and an integrated management,
and analytics console, supported by a variety of security mechanisms.
In
this one-day hands-on class we'll install WorkLight and the Eclipse
development environment, quickly write our first Hello World app, move
on to do client-side UI development, common controls and debugging.
We’ll
then move on to server-side adapters, do adapter development and learn
how to Invoke Adapter Procedures from Client Applications. Finally,
we’ll develop a Dojo mobile WebApp. At the end of the class we’ll learn
how to engage with the IBM Innovation Center to hone your own mobile
skills and partner with IBM in the mobile space.
But what if you run into problems or have questions? Where do you turn? During the class there is no problem because we will have Worklight experts at hand, but what do you do afterwards?
And if you want to learn more about Worklight and the IBM support team, just join us at the IBM Worklight 5.0 class in Foster City on august 15 where you will be able to talk to Worklight experts like Eduardo Abe.
IBM has long had a strong position in Silicon Valley. Almaden Research has made major contributions to the physical sciences and computer science for more than 50 years, IBM Silicon Valley Labs in south San Jose is a major software lab and IBM also has a number of other offices, in San Francisco as well as the the IBM Bay Area Lab and the IBM Innovation Center in Silicon Valley in Foster City.
Today Silicon Valley is heavily focused on smartphones, tablets and mobile computing. This technology started in the consumer space but has quickly become a fundamental part of enterprise computing and in industries like healthcare.
It is a key IBM product that makes it easy to connect enterprise systems to mobile.
We are scheduling the first of several hands-on classes here at the IBM Innovation Center in Silicon Valley where IBM business partners and developers in general quickly can get up to speed on Worklight. The first one is August 15.
When enterprise computing now goes mobile, it is a big thing, a global thing, which is why we at the IBM Innovation Center in Silicon Valley is focusing on Worklight and mobile.
Watson for Healthcare is focused on cancer care and is being rolled out through WellPoint, the largest managed health care company in the Blue Cross and Blue Shield Association in the United States.
WellPoint will develop and launch Watson-based solutions to help improve
patient care through the delivery of up-to-date, evidence-based health
care for millions of Americans. IBM will develop the base Watson
healthcare technology on which WellPoint's solution will run.
Here are some details: Watson uses natural language capabilities, hypothesis generation,
and evidence-based learning to support medical professionals as they
make decisions.
For example, a physician can use Watson to assist in
diagnosing and treating patients.
First the physician might pose a query
to the system, describing symptoms and other related factors.
Watson
begins by parsing the input to identify the key pieces of information.
The system supports medical terminology by design, extending Watson's
natural language processing capabilities.
Watson then mines the patient data to find relevant facts about
family history, current medications and other existing conditions.
It
combines this information with current findings from tests and
instruments and then examines all available data sources to form
hypotheses and test them.
Watson can incorporate treatment guidelines,
electronic medical record data, doctor's and nurse's notes, research,
clinical studies, journal articles, and patient information into the
data available for analysis.
Watson will then provide a list of potential diagnoses along with
a score that indicates the level of confidence for each hypothesis.
The ability to take context into account during the hypothesis
generation and scoring phases of the processing pipeline allows Watson
to address these complex problems, helping the doctor — and patient —
make more informed and accurate decisions.
Watson will then provide a list of potential diagnoses along with
a score that indicates the level of confidence for each hypothesis.
Let us know if you are interested in learning more about Watson for Healthcare.
Mobile computing is transforming the enterprise as millions of people
on the go are accessing enterprise applications from smartphones and
tablets.
IBM WorkLight is an open mobile application platform for
smartphones and tablets, helping organizations of all sizes to
efficiently develop, connect, run and manage HTML5, hybrid and native
applications. The platform ships with a comprehensive development
environment, mobile-optimized middleware, and an integrated management,
and analytics console, supported by a variety of security mechanisms.
In
this one-day hands-on class we'll install WorkLight and the Eclipse
development environment, quickly write our first Hello World app, move
on to do client-side UI development, common controls and debugging.
We’ll
then move on to server-side adapters, do adapter development and learn
how to Invoke Adapter Procedures from Client Applications. Finally,
we’ll develop a Dojo mobile WebApp. At the end of the class we’ll learn
how to engage with the IBM Innovation Center to hone your own mobile
skills and partner with IBM in the mobile space.
They started as services for consumers, quickly moved into the enterprise space with the IBM SmartCloud and is now moving into science with the CERN Nebula Cloud:
CERN Press Relase about the Nebula Cloud Europe’s biggest research centres (CERN EMBL and ESA)
announced a partnership to launch a European cloud computing platform.
"Helix Nebula - the Science Cloud", will support the massive IT
requirements of European scientists, and become available to
governmental organisations and industry after an initial pilot phase.
During
a two-year pilot phase, Helix Nebula will be deployed and tested based
on three flagship projects proposed by CERN, EMBL and ESA: to accelerate
the search for the elusive Higgs particle, to boost large-scale genomic
analyses in biomedical research, and support research into natural
disasters.
Basing massive global science projects on cloud computing makes great sense and promised to speed the development of cloud computing even more.
5
