The 100 BlueMix Days - Hands-On Workshop at the IBM Innovation Center in Silicon Valley on Friday March 28 drew a full house of IBM business partners.
IBM BlueMix is an implementation of IBM’s Open Cloud Architecture, leveraging Cloud Foundry to enable developers to rapidly build, deploy, and manage their cloud applications, while tapping a growing ecosystem of available services and runtime frameworks. IBM will provide services and runtimes into the ecosystem based on our extensive software portfolio.
If you are interested in learning more about IBM BlueMix, just contact the nearest IBM Innovation Center.
Are you an ISV looking to embed importing and analytics into your solution?
Make better and smarter business decisions faster with solutions that take business intelligence (BI) to a whole new level. Innovations in BI from IBM provide broader analytic capabilities so that everyone has the relevant information they need to drive your business forward. IBM Cognos Business Intelligence delivers the complete range of business intelligence capabilities on a single service-oriented architecture (SOA). Use reports, analysis, dashboards and scorecards to monitor business performance, analyze trends and measure results.
At this dedicated Business Partner event, we will explore Business Intelligence and demonstrate features and capabilities of IBM Cognos 10. Technical hands-on labs will complement the instructor-led sessions providing you with the opportunity to practice your newly gained skills including building dashboards and reports. This course also offers an optional module allowing you to incorporate your own data for a personalized view.
Overview of IBM Business Analytics and IBM Cognos 10
Business User Experience (Workspace) and Lab
Business User Authoring (Workspace Advanced) and Lab
Personal Analysis (Cognos Insight) and Lab
Partnering Models with IBM: ASL and VAR
Report Studio and Lab
Active Reports and Lab
Dynamic Cubes and Lab
Statistics and Lab
Metadata Modeling (Framework Manager) and Lab
Architecture, Integration and Systems Management
There is also an optional module:
'Bring Your Own Data' practice with Cognos Insight*
*Please note: To participate in this session the attendees are required to have Cognos Insight installed on their own laptops, with their data in a CSV/Excel format; for this exercise, the first row should have the column headings. A free version of Cognos Insight is available at: https://www.analyticszone.com/homepage/web/displayHomePage.action#
Case Management is becoming big in Healthcare, and IBM's Advanced Case Management for Healthcare enable healthcare providers and enterprises to consolidate and
streamline complex cases which leads to faster, more efficient case
outcomes. The additional benefits of Advanced Case Management can enable
your organization to:
Streamline patient care by providing simultaneous access to patient records.
Accelerate existing investments in key applications like electronic health care records.
Share health information across communities, health networks, and regions.
Support new initiatives such as the demand for higher quality care and patient-centric healthcare.
Consolidate disparate case information into one streamlined platform.
Healthcare providers need to manage incidents such as errors or disputes to improve patient care while protecting the business if escalations occur. Advanced case management provides enhanced service and risk management throughout the lifecycle of a case.
Management needs better tools to meet Key Performance Indicators (KPIs) for case handling. Outcomes are the driving force for cases; therefore, tools to drive optimal outcomes are needed. In addition, workers in all areas of the business, faced with fewer and fewer resources, need better tools to support the way they work. Often this requires the input and management of paper-based documents such as written orders, charts, patient histories, lab reports, faxes, and so on, inaddition to electronic information to provide an allencompassing view of the case. Advanced case management supports worker efficiency and effectiveness to help control costs for these activities as well as improve decision-making.
Advanced case management scenarios can include rules, business event
processing, work management, collaboration and activity monitoring. BPM
customers – from starting points such as FileNet BPM, WebSphere Process
Server and Lombardi Teamworks – can extend their implementations to
support advanced case management.
Lotus real-time collaboration, social software capabilities, and
managed activities enhance the case process and provide tools for the
case worker to leverage enterprise knowledge and experience – in
context. It also allows case interaction directly from office
productivity tools such as Microsoft Office or Lotus Symphony.
Business analytics software from Cognos and SPSS provides a full
spectrum of business intelligence and performance management
capabilities – from real-time activity monitoring to reporting, analysis
and dashboards to predictive analytics – to help case workers analyze
information and improve case outcomes.
A Night with IBM and SVForum's Venture Startups & Financing Special
Interest Group (SIG). Join us on April 15 from 6:30 p.m. to 8:30 p.m.at the IBM Innovation Center for Silicon
Valley Global Entrepreneur Mentor Day. This event provides you the
opportunity to view a select group of startups who will pitch their
company solutions. Each startup will have six minutes to describe how
their business will make our planet smarter.
You have an
opportunity to listen and vote (along with a panel of judges) for the
top two companies who will move on to the interview stage of IBM’s
SmartCamp. Stay for the networking reception where we will announce the
two companies selected.
This event is being held from 6:30 p.m. to 8:30 p.m. on Monday, April 15, 2013 at the IBM Innovation Center Silicon Valley.
IBM's Watson has introduced cognitive computing to the world, not only winning the game of Jeopardy but also allowing doctors to make sense of the tsunami of data that is generated in the medical field.
Up until now, doctors have been able to access Watson from traditional desktop computers. But they will now be able to do so from their smartphones. Thanx to a pilot project out of IBM Research that has leveraged IBM's innovative Worklight mobile technology together with Watson.
The IBM Watson solutions team developed a sophisticated browser-based application that not only presents IBM Watson query results to oncologists but also facilitates their patient-consultation workflow. The IBM High Performance On Demand Global Solutions (HiPODS) Enterprise Mobile team has now extended this solution with full mobile support. Using IBM® Worklight® as the supporting infrastructure, the team created a prototype for a sophisticated mobile app to complement the browser-based application.
The mobile application prototype runs on a tablet so that the doctor can refer to the patient EMR and query IBM Watson while seeing the patient. For consistency, the views of the mobile application are similar in content, look, and feel to those in the browser-based application. But the doctor can also interact with the mobile application with gestures such as swiping or pinching. In addition, the mobile app supports the tablet's audio and camera features. The doctor can add to the EMR by dictating directly into the tablet or using the tablet's camera to take photos of the patient
This is a really important article for anyone interested in how mobile technology can be used in advanced medicine.
And for anyone interested in Worklight and mobile computing, contact us here at the blog or your nearest IBM Innovation Center.
Server-side development is development of HTML5 or native code that will run in the hand-set. And if you are familiar with HTML5 and
There is also Advanced Client Side with subjects like Working Offline, Enabling translation, Storing sensitive data in Encrypted Cache and the JSON store.
We then move on to Authentication and Security, a must in the enterprise space, and then to Advanced Topics under which we find IBM Worklight Scalability & Hardware Sizing
Worklight scalability really means Worklight Server scalability and this section has everything you need to know about this interesting and vital topic.
iPad owners can download a really slick Cognos Mobile app for the iPad that allows you to show Cognos reports, like the one to the left.
The iPad is the perfect way to display Cognos Reports in a mobile environment. You can point the app to various repositories of Cognos BI Reports and with the iPad's 4G network support quickly deploy them anywhere..
The iPad has become incredibly popular in the healthcare sector as well as most industry sectors, and as the iPad Mobile app shows, it allows professionals on the go to access the latest reports wherever they are.
Here is more information about the Cognos Mobile app: Receives Cognos reports, dashboards, scorecards, analysis and other information in a secure environment Supports Apple iPhone and iPad and BlackBerry and PlayBook with a choice of native or web clients
Supports Android, Windows Mobile and Nokia Symbian operating systems with web-based access Features full interactivity with business intelligence (BI) content, including drilling up, down and through and zooming in and out Ensures up-to-date BI content with regularly scheduled report distributions Provides centralized management, including security, with a single authoring environment Includes IBM Cognos Active Report for interaction with BI content offline
IBM has designed this day for you, our Business Partners. At this event,
you will see IBM MobileFirst, a new portfolio of mobile products and
services announced at the Mobile World Congress. We will review the new
capabilities for developing and managing mobile applications, and how
these can help you expand your business.
When you look back over
the past few decades, we've only seen a few major shifts that have had a
major impact on the way we live and work. Think back to the early days
of e-business. Well, we believe that we're in another one of those
unique and exciting periods of time right now. Mobile is completely
transforming how we communicate and work in so many ways.
meet this growing demand and capture this enormous market opportunity,
IBM announced IBM MobileFirst the most comprehensive mobile solution
portfolio in the industry. By incorporating mobile capabilities that
range from analytics, cloud, security, device management, application
development and industry expertise, IBM MobileFirst will help clients
use mobile in new and unique ways to be more profitable and innovative.
IBM MobileFirst drives the idea that mobile is the first point of
contact between an individual and an organization. Mobile is rapidly
becoming the primary means by which individuals interact with
businesses, and through IBM MobileFirst, IBM is providing companies with
the essential tools to take advantage of new business opportunities
being enabled by mobile.
Based on nearly 1,000 customer
engagements, 10 mobile-related acquisitions in the last four years, a
team of thousands of mobile experts and 270 patents in wireless
innovations, IBM MobileFirst offers an array of solutions that helps
businesses connect, secure, manage and develop mobile networks,
infrastructures and applications. By bringing our mobile portfolio under
this new name, we're signaling IBM's unified approach to help our
clients and partners to deliver best-in-class solutions, take advantage
of more commercial opportunities, and provide superior
Raj Nataraj is CEO and founder of AptMobility: a mobile software and services provider that has a strong focus in the healthcare space.
In this interview at the reopening of the Silicon Valley IBM Innovation Center, Raj explains how 'mobility is becoming the desktop platform'.
Given the efficiencies mobile apps bring, there is demand from field services to patient communication and support. Analytics has a crucial role to play in ensuring that the functionality of mobile apps meets the needs of the end user.
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.
Big Data and Analytics is rapidly emerging field that is engaging an increasing number of our business partners here at the IBM Innovation Center here in Silicon Valley.
This is hardly surprising considering IBM's leading position in this space: http://ibm.co/17nXhrj and the fact that Silicon Valley really is the ground zero for the Big Data movement in the US and the world.
Over the next several weeks and months I'll discuss IBM’s presence in this space from several different perspectives: the IBM products and their functionality, IBM business partners and their solutions in the Big Data space, and finally IBM's view of the Big Data and Analytics ecosystem as a whole.
As you read these blog posts, if you’d like me to cover a specific topic that I haven’t covered, just post a comment. If the amount of interest warrants it, we’ll create a forum outside these blog posts to discuss further.
It may come as a surprise to some, but IBM has been in the analytics space for at least the 35 years that I have been in the business. Back when I was just getting started, IBM was creating the concept of the "Business Information Center" and "Decision Suport Systems", using "4th generation languages" like Focus and Mantis, to produce both ad hoc and canned reports for the business. All this on the mainframe of course.
The next step was to extract data from the operational systems to data files where reporting could be done without interfering with business processing. In essence, these were primitive data warehouses.
How far IBM and the analytics industry have come since then!
From that base we now routinely build systems that apply statistical techniques to drive fact-based, actionable predictions that can save our customers many millions of dollars.
Case in point: I have recently worked as part of a team at an electric power utility on a condition-based maintenance Proof of Concept (POC). The utility gathers performance data from field devices, combines that with preventive maintenance data from the Enterprise Asset Management system (IBM Tivoli Maximo) to predict a failure point using Cognos Enterprise and SPSS. If the predicticed failure point falls before the next preventive maintenance cycle, the unit can be maintained or retired before a failure causes a large scale outage.
The POC is completed with a very satisfied customer, but since only a small fraction of the utility’s field devices have been instrumented, the utility is faced with how to collect the performance data from a huge number of devices. A task that, when completed, will move them squarely into the Big Data space. We’ll talk more about this in future posts.
What I really want to talk about now is the suite of capabilities that focus on adding value to business by finding and qualifying customers. Just as in the utility field devices, it’s only since the advent of the mobile platforms with their social apps that business have had the ability to acquire data on how the individual customer really regards its products. And it is only in the very recent past that businesses have acquired the ability to analyze the data in a meaningful way.
I am currently working with a local cloud-based business intelligence and analytics company on a POC to take data from Salesforce to produce near real-time analytics and trending for a large media company.
We’re just starting. But the future looks bright for this company and others.
Stay tuned. I’ll profile the company and our results in future posts.
Big Data is one of the hottest areas in IT right now, and IBM has a set of products that makes it very easy to get started in this very exciting space.
One of the key qualities of Big Data that totally differentiates it from what we have been used to, is that the sampling rate of today's eletronic data sources is so fast that Big Data for the most part is streaming data. And to read and absorb data streams we have IBM InfoSphere Streams.
With InfoSphere StreamsUsers are able to:
Continuously analyze massive volumes of data at rates up to petabytes per day.
Perform complex analytics of heterogeneous data types including text, images, audio, voice, VoIP, video, police scanners, web traffic, email, GPS data, financial transaction data, satellite data, sensors, and any other type of digital information that is relevant to your business.
Leverage sub-millisecond latencies to react to events and trends as they are unfolding, while it is still possible to improve business outcomes.
Adapt to rapidly changing data forms and types.
But InfoSphere streams is not a standalone product, it is typically used with another key IBM Big Data product, IBM InfoSphere Big Insights which is built on Apache Hadoop with enterprize additions from IBM. You can download the basic edition for free on this link
Data Journalism is becoming a hot subject for many newspapers who use Big Data and analytics tools to create a whole new type of data-intensive stories.
Now a group of journalists have published The Data Journalism Handbook an on-line book on their trade and the tools they use to create data-based stories.
They define Data Journalism like this:
Data journalism can help a journalist tell a complex story through
engaging infographics. Hans Rosling’s spectacular talks on visualizing
world poverty with Gapminder,
for example, have attracted millions of views across the world. And
David McCandless’s popular work in distilling big numbers — such as
putting public spending into context, or the pollution generated and
prevented by the Icelandic volcano — shows the importance of clear
design at Information is Beautiful.
One of the newspapers who have taken a lead in this field is the British Guardian, who in it's toolset is using IBM's ManyEyes
This is a good example of the new world of Big Data and data analytics, driven from data-marts with large numbers of cloud-based and increasingly complex data sets, on which we can apply sophisticated visualization tools, like IBM's ManyEyes.
BigData is everywhere these days and if you want to learn more about how to run Hadoop and IBM's BigInsights on the IBM SmartCloud BigDataUniversity has a really good online course that we can recommend.
The combination of Big Data, Hadoop and the Cloud is as exciting and useful as anything these days, and this course will get you up and running with a minimal fuss or headaches.
We're planning to hold a similar course on the premises here at the Innovation Center and if anyone is inetrested let us know.
IBM San Mateo was approached by an Energy and Utility ISV to validate their application on the latest IBM Hardware.
We provided the following taylor made, dedicated system:
Vmware esxi installed on 19 x hx5 blade servers 16 cores / blade, 72 GB RAM, 52GB SSD, 8 Gb Fibre Channel HBA 26 TB's of SAN storage using the IBM XIV Storage and Storwize V7000 with SSD's
58 Virtual images running on ESxX 4.1 and applicatons built on Windows 2008x64
We also provided 24 x 7 remote access of the test configuration in San Mateo, Ca. while the development team was on the East Coast
The IBM Innvovation Centers provides end-to-end support for Independent Software Vendors (ISV's)
We helped define test configuration, installed and support test configuration of IBM Blades and Blade Chassis, vMware: hypervisor and applications and Storage as well as marketing support for their solution.
We were able to receive the hardware and install the system within 4 weeks. The ISV was able to complete their first milestone two weeks after the hardware was made available to them. They continue to use this system to test many of their applications in this virtualized environment.
working with the San Mateo Innovation Center enabled the ISV to decrease their test time and bring their application to market quicker and with more confidence of a proven solution.
San Mateo Innovation Center's mission is to work with ISV's in the local ecosystem as well as within targeted industrries to enable then to test, market and deliver their applications to our common customers.
The press release from IBM is tantalizing and promises a new type of computer chips : IBM Unveils Cognitive Computing Chips:
Today, IBM researchers unveiled a new generation of experimental computer chips designed to emulate the brain’s abilities for perception, action and cognition. The technology could yield many orders of magnitude less power consumption and space than used in today’s computers.
In a sharp departure from traditional concepts in designing and building computers, IBM’s first neurosynaptic computing chips recreate the phenomena between spiking neurons and synapses in biological systems, such as the brain, through advanced algorithms and silicon circuitry. Its first two prototype chips have already been fabricated and are currently undergoing testing.
Stacey Higginbotham writes about the new IBM chips on GigaOm:For our sensor heavy future, IBM cooks up a new silicon brain That’s where this new silicon comes in. IBM calls them neurosynaptic chips, and it’s architected in a completely different way than current semiconductors. Instead of creating silicon that has a processing core, a bus and a memory cache, IBM has taken a page from the human brain. The integrated memory is represented by synapses, computation by neurons and communication by axons. The current version is far less impressive than the human brain which has billion of neurons — this chip has 256. But the breakthrough here is not just about the new architecture but what that architecture means and where it fits in with the future of computing.
We'll have more on this exciting story as it unfolds.
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
The IBM Impact 2012 Global Conference will bring together more than
9,000 technology and business leaders at a single event for a
transformative learning opportunity. Now more than ever, it is
imperative that organizations learn how world-class technologies can
help turn change and complexity into advantages.
Industry leaders will be on-hand to provide
insights on how technology can help drive better business results.
Technical sessions focused on the latest IBM technologies, including WebSphere, BPM, SOA, expert integrated systems, cloud, mobile and more will be available.
Most importantly, a wealth of opportunities –
ranging from networking with technical and business experts to
career-advancing certifications – await attendees to this year's event.
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
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.
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.
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.
Bay Area Hadoop USer Group, with close to 3000 members ,is one of the top-flight Meetup groups here in Silicon Valley that any programmer or technologigcally interested person simply must attend.
Apache Hadoop, as everyone knows, is an open source software project that enables the
distributed processing of large data sets across clusters of commodity
servers. It is designed to scale up from a single server to thousands of
machines, with a very high degree of fault tolerance. Rather than
relying on high-end hardware, the resiliency of these clusters comes
from the software’s ability to detect and handle failures at the
Also, Hadoop is supplemented by an ecosystem of Apache projects, such as Pig,
Hive and Zookeeper, that extend the value of Hadoop and improves its
Now, Hadoop is a key component of the Big Data story: Everyday, we create 2.5 quintillion bytes of data–so much that 90% of
the data in the world today has been created in the last two years
alone. This data comes from everywhere: from sensors used to gather
climate information, posts to social media sites, digital pictures and
videos posted online, transaction records of online purchases, and from
cell phone GPS signals to name a few. This data is big data.
IBM has a very strong position i n Big Data and is also building on the Hadoop Technology with our BigInsights product.
Because of the importance of Big Data and Hadoop, the Bay Area Hadoop User Group is a key place to be once a month, to learn the latest about the rapid development of Hadoop and the eco system that is rapidly being developed around Hadoop.
The discussions at the meetup are usually very informative and the venue in Yahoo!'s cafeteria is great.
It is also important to point out that the Meetup group does not only discuss Hadoop, but also related technologies.
So join and become part of the world of Hadoop and Big Data.
As a taster, see this presentation from Giuseppe Accardo showing where Cognos Business Intelligence solutions fits in to the IBM Business Analytics portfolio and an explanation of some of the features of this product:
The San Mateo IBM Innovation Center is hosting a four hour seminar on Business Anlytics at our Foster City offices on May 25. This event is an introduction to IBM business partners, developers and academics who have heard about business analytics and who are interested in starting to use it.
Register on this link We will start off with a high-level view of IBM's Watson and the technoologies that underly Watson, such as MapReduce, Hadoop, and Apache UIMA in some detail, and then describe examples of successful IBM applications of Business Analytics, such as http://euresist.org/, Sequoia Hospital here in Silicon Valley, and others. We will then devote the second half of the seminar to an walkthru of Cognos/SPSS and iLog and show some best practice architectures among others in the Healthcare space. An IBM business partner will also be present with a demo of how they use Cognos and we will also have one of our ILOG experts present who will discuss some interesting uses of ILOG. We will round it off by suggesting how they should start learning more about BA, maybe to teach it, and how they can download and use the IBM product set. We are not going to focus on the computer science aspects of BA. Instead the goal is to give the audience enough of an overview of BA to see if it is something for them and to point them in the right direction to get started. The goal is to give practical real-life examples of how Business Analytics is used to solve today's business problems. This is the first in a series of seminars and hands-on workshops on Business Analytics to be held at the San Mateo Innovation Center this year.
What makes this picture truly amazing is that the advanced health-monitor that displays Eric Topol's vital signs is actually running in real time on his iPhone and then from there displayed on large screens in the auditorium.
The fact that it is possible to carry around this kind of monitoring technology on one's smartphone today is truly staggering.
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
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.”
IBM Pure Systems allows you to do rapid deployment of virtual images to a private cloud.
Since we do a lot of deployments for our business partners in our data center here at the IBM Innovation Center in Silicon Valley we decided to put the system to the test.
We are working with Big Data and IBM BigInsights, and so we thought why not eat our own dog food.
The result has been exceedingly positive. Instead of provisioning physical servers, we just set up virtual images in Pure Systems. Then when a business partner of our own team needs an image, we deploy them to our private cloud and we're done.
We can configure memory and disk dynamically and to the end user the image look just like they dig before. Especially since the users all access them via VPN anyway.
Let us know if you're interested in a demo. Dog food actually tasted pretty good when it can enable super-fast provisioning of images.
IBM Pure Systems has a web console with a catalog of available images.You select your image(s), configure it in the console by adding memory, CPU's and disks. You add an install script, and then you deploy the image(s) to the private cloud. That;'s it!
Now creating the original deployment packages takes a little bit longer time but not much.
This is app deployment at its best.
We'll document all the steps here on the blog in the weeks to come,
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
This is a brief (11 pages), well illustrated and easily accessable guide
Join us on May 23, 2011 and find out how to Cloud-enable your applications!
Have you been looking for a workshop designed for your needs, interests and challenges? One that gives you something you can take away and use? Are you looking for just the right amount of presented content and open interaction?
The Enterprise Cloud Workshop offers all that and more. The Cloud Workshop runs from noon-5:30 pm and is moderated by Dave Nielsen, founder of CloudCamp and Larry Carvalho, Entrepreneur and founder of RobustCloud. With more than 150 successful Cloud Camps under their belts, Dave and Larry bring an incredible wealth of experience and expertise to the workshop.
In addition, Dustin Amrhien, IBM WebSphere Client Technical Professional, who has spoken and written widely about cloud technology, will talk about rapidly delivering innovative services onto the private cloud. Dustin will also participate in the personalized assessments.
Find out about OSSM ("Awesome") Clouds--On-demand, Self-service, Scalable and Measured. Review real and hypothetical applications you want to run in the cloud. Assess the risks and benefits of moving your applications to public or private clouds. And, best of all, get your own, personalized assessment at the end of the workshop from one of the facilitators.
After the Cloud Workshop, plan to stay for the CloudCamp that starts at 5:30.
Click here to register for the free Cloud Workshop.
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
After many years and much hype the Internet of Things is finally here and IBM is already a key player in this important technology that aims to connect not people but billions of instrumented things.
The Internet of Things represents an evolution in which objects are capable of interacting with other objects. Hospitals can monitor and regulate pacemakers long distance, factories can automatically address production line issues and hotels can adjust temperature and lighting according to a guest's preferences, to name just a few examples. Furthermore, as the number of devices connected to the Internet continues to grow exponentially, your organization's ability to send, receive, gather, analyze and respond to events from any connected device increases as well.
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.
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
At the core of most open-source project sites were centralized
management systems (SCM) such as CVS and later on
Subversion. At the
same time a new breed of SCMs was emerging, called
decentralized) version (or revision) control system
The core idea of DVCS is that rather than having a
central, canonical source tree, you have a system of multiple
working copies. This means that multiple developers can collaborate on a
project even if they are but sporadically connected.
The interactions between these distributed working copies is a
bit reminiscent of the interactions between personae in social networks.
Therefore project hosting sites naturally grew up around concepts of
DVCS with social features in concordance with the code-sharing model.
Some of the most popular DVCS at present are Mercurial, Git, and Bazaar,
and each has a closely associated, well-known service, respectively BitBucket , GitHub, and Launchpad.
On top of these source code repositories global open source teams are then creating projects using highly productive languages like Ruby on Rails, Python, Node.js, Sinatra , PHP, Pearl (Yes Pearl is still alive and kicking) and even C, C++ and of course Objective C
The key concept behind this global code explosion is forking, taking one open source project, forking it and continuing along a new branch, towards a new goal. This is highly reminiscent of the Cambrian Explosion 530 million years ago, when a plethora of new life forms appeared within a comparatively speaking very short time.
IBM's BigInsights, which is based on Apache Hadoop, as well as IBM's Watson which makes use of Apache's UIMA-technology show the influence of open source on a global scale.
Hands-on Predictive Analytics Workshop with SPSS and ILOG in a Big Data World
When and where
14 nov 2012
14 nov 2012
Pacific Standard Time
1001 E. Hillsdale Blvd, Suite 400
Foster City CA
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
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.
At the HIMSS 2012 conference in Las Vegas last week, Todd Y Park, who is Chief Technology Officer,
US Department of Health and Human Service
gave a fire and brimstone talk:The Health Data Initiative: Unleashing the Power of Open Data and Innovation to Improve Healthcare, about www.data.gov/communities/health and the Health Data Initiative,
a major new public-private effort that
aims to help Americans understand health and health care performance in
their communities -- and to help spark and facilitate action to improve
The fundamental approach being taken by the
initiative is to catalyze the advent of a network of community health
data suppliers (starting with HHS) and “data appliers” who utilize that
data to create applications that (1) raise awareness of community health
performance, (2) increase pressure on decision makers to improve
performance, and (3) help facilitate and inform action to improve
This initiative is leading entrepreneurs in the healthcare space to write apps to access and manipulate the government healthcare data in many new and innovative ways.
The next logical step is for IBM business partners to use the IBM Health Integration Framework http://www-304.ibm.com/isv/tech/validation/framework/hif.html for this kind of data-intensive integrations.
The framework helps you build, extend and transform your existing infrastructures while allowing multiple systems to consume and re-use business services to provide Web-based collaboration across people, processes and information in the healthcare community. You can design flexible applications that can extend and integrate with other systems.
The Framework is SOA-based and centered around well-known IBM products like
WebSphere, WebSphere Message Broker, Portal, DB2, WebSphere Process
Server, as well as products like Initiate and analytics products like
IBM has launched a business partner program for those companies with IT solutions in the healthcare space that want to integrate their products with the IBM Health Integration Framework platform.
There is no cost involved to become an IBM IBM business partner.
The next step is to select which IBM products to integrate with.
The IBM Health Integration Framework is divided into three segments: Healthcare provider, Health Plans and Life Sciences
spaces, and these segments in turn into different domains.
Let's take a look at the domains on the next chart.
The way you go about integrating and subsequently validating with the framework is by first selecting which segment your solution belongs to and then from there finding out in what domain within that segment your solution best fits.
This will give you a set of recommended IBM products and accompanying architectures.
A list of the major IBM products that belong to the framework can be found on this link.
Validation tells your customers that your solution runs out of the box on the IBM Health Integration Framework, saving them and you time that would otherwise be spent testing and verifying your solution.
Whether you're a multimillion dollar enterprise with a team of social media experts or a startup of 5 trying to grow your brand, you are not immune to the pitfalls of a social media crisis. Crises can range from customer complaints to marketing mishaps, both big and small and everything in between. The way you handle a crisis can ultimately strengthen or weaken your brand image.
Here's a list of 10 must-have tips to manage a social media crisis that I walked away with from Marketing and Social Media professor Kimberly Legoki, who spoke at the Disrupting Business: Social Marketing Symposium at IBM's IIC in Foster City, CA. You're going to want to bookmark this list in case of emergency!
1. Always be listening and monitoring
When crisis strikes, make sure you've got eyes on everything that's being said so that you can quickly respond and fully understand the scope of the crisis. Aggregation tools like Storify can help you keep an ear to the pulse of the story so that you can assess what people are saying.
2. Turn off auto-post immediately
Auto-posting is great for many things, but if you have to address an unfortunate circumstance you don't want it to accidentally be followed by a post that can look insensitive or contradictory.
3. Immediately acknowledge the situation
Even if you're not ready to release details, if there is a situation that people are talking about, you need to acknowledge that it happened and that you will keep the public in the know as you gather more information. These actions are necessary for taking charge of what people are saying about your brand.
4. Get your message to as many outlets as possible
While it's best to centralize all of the information, perhaps in a blog, use all other social media channels to direct people to that location.
5. Correct – don't delete!
Once it's out there, deleting it won't make it go away and it might make it worse. Deleting looks suspect and creates more negative sentiment. If there's a mistake, acknowledge it and update the information.
6. If you must temporarily disengage, do it the right way
If you must disengage (as @NASAVoyager2 did during the federal government shutdown – insert image) don't suspend or delete the account. Acknowledge that due to circumstances your organization won't be able to respond to or monitor comments via social media and supply an alternative way of reaching out. Let people know when you return.
7. Own the #hashtag
In your first post about the situation, use the hashtag and continue to use it to encourage others to use it, too. That first post will be the one that gets re-posted again and again.
8. Monitor online chatter before resuming marketing activities
Before you get back to business as usual, make sure you're listening to what people are saying about the crisis. You don't want to go back to your regularly scheduled marketing until your customers are ready for that.
10. Practice, refine, repeat
It's important to plan ahead for a crisis. Who's going to post to where? Does everyone who would need access to a platform actually have access? Who approves the posts? Have a template ready to go in case of emergency. Practice a mock crisis every 6 months with this team to ensure that everything is in order.
You are now equipped to handle any disaster that comes you're way. While I hope you never have to use this list, you'll be glad to have it if disaster strikes.
Professor Legoki is a crisis management savant who has managed and studied crises for over 20 years. Her latest project is called “The customer who tweeted #boycott; an empirical investigation of consumer activism on Twitter.” Tweet @KimLegoki and what you want to #boycott, to be included in her research.
Do you have any other tips to add? Any good examples of companies that didn't follow these tips? I'd love to hear your thoughts!
Mobile computing is transforming the enterprise as millions of people
on the go are accessing enterprise applications from smartphones and
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.
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.
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.
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.
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
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.
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
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.
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
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.
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.”
IBM is moving with extreme speed on the mobile front, acquiring a steady stream of mobile companies. Trusteer, Xtify and Urban Code, and now Fiberlink. A sign of how important IBM considers the mobile space for the enterprise.
IBM clearly intends to play the same revolutionary role it played in the PC revolution and before that with System 360. Now that the enterprise is moving to mobile, IBM intents to lead the massive movement to mobile in the global enterprise space.
With Fiberlink’s MaaS360 cloud-based offerings, IBM will expand its bring your own device (BYOD) capabilities to deliver a complete mobile management and security solution through IBM MobileFirst that includes trusted transactions and security intelligence capabilities for mobile apps, users, content and data.
This announcement is another milestone in IBM’s strategy to build the industry’s most comprehensive set of mobile capabilities while eliminating barriers to adoption and accelerating the productivity benefits of mobility. At the same time, IBM is expanding the vision for enterprise mobility management to also include secure transactions between businesses, partners and customers.
Stay tuned for more on this story and join us at the IBM Innovation Center in Foster City in Silicon Valley for our mobile event on December 11, when we will cover the latest on IBM's mobile story.