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IBM’s new data discovery and visualization cloud offerings with predictive analytics

IBM’s new data discovery and visualization cloud offerings with predictive analytics | Enterprise Cloud Storage for Big Data Analytics | Scoop.it

IBM is introducing new data discovery software that enables business users to visually interact with and apply advanced analytics to their data without any specialized skills to get deeper insights about their business. The new software will help close the analytics skills gap that makes current data discovery tools inaccessible for the everyday business user and make it possible to go from raw information to answers hidden deep within structured and unstructured information in minutes. 

 

- See more at: http://www.vizworld.com/2013/11/ibms-data-discovery-visualization-cloud-offerings-predictive-analytics/#sthash.Ux5doBkj.dpuf

 

 
Via Tony Agresta
Henry Pan's insight:

Is this a better tool set?

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Tony Agresta's curator insight, November 6, 2013 7:15 PM

It was bound to happen and IBM seems headed in the right direction - Predictive Analytics and Data Visualization converge in the cloud.  In a post 911 era, analysts recognized that revealing insights required the human mind to explore data in an unconstrained manner.   If they had the chance to interact with disparate data sets, visualize that data in different forms and navigate to connection points directed by their experience, they could quickly pinpoint relationships that matter.

Today, groundbreaking approaches in intelligence analysis have their foundations built on unconstrained data discovery.   Insurance organizations are applying interactive data visualization to uncover patterns that clearly point to fraud and collusion.  eCommerce organizations are using these techniques to examine both employee and vendor behavior as they connect the dots highlighting networks of interest.

This revolution in analysis is only just beginning.   Imagine what can be accomplished when predictive models and rules are applied to big data in real time yielding more focused data sets for discovery.  


Four years ago I spoke with a global top 10 bank that applied predictive  models to detect fraudulent transactions.   When I asked if they had combined this approach with data visualization to pick up on any error in the models, they responded that their analysts couldn't use those tools because they were too complex.   They couldn't identify fraud networks using relationship graphs.  After nearly $2 billion in fines, I wonder if they are rethinking this approach?   The fact is, they could have detected money laundering among their account holders by joining the results of predictive analysis with human data discovery. 

Within 5 years, I would be surprised if every major bank, insurance company, retailer and healthcare organization wasn't following in the footsteps of the intelligence community.   As these analytic methods converge, the criminal's chances of hiding the truth diminish dramatically. 

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Forrester: Top Technology Trends for 2014 And Beyond

Forrester: Top Technology Trends for 2014 And Beyond | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
This month, Forrester released its list of top technology trends for the three year time horizon.

Via Bill Schmarzo
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Bill Schmarzo's curator insight, November 29, 2013 4:10 PM

Another prediction for the future.  It's going to be a fun next few years, if you're in the data and analytics business.

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Understanding The Various Sources of Big Data – Infographic

Understanding The Various Sources of Big Data – Infographic | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
Big data is everywhere and it can help organisations any industry in many different ways.
Henry Pan's insight:

Too many data source......

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Tony Agresta's curator insight, November 7, 2013 2:47 PM

If you have not had the chance to review some of the free sources of big data that can enhance your content applications, take a look at the Linked Open Data Graph.  It's updated daily and you can learn more by searching for the CKAN API.   This graph represents tens of billions of semantic facts about a diverse set of topics.   These facts have been used to enhance many content driven web sites allowing users to learn more about music, geography, populations and much more.  

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Crime falls in the US. Are you safer today?

Crime falls in the US. Are you safer today? | Enterprise Cloud Storage for Big Data Analytics | Scoop.it

Check out this infographic slide show on crime. You may be surprised....


Via Michael Charney
Henry Pan's insight:

are we safer today?

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The Big Data open source tools

The Big Data open source tools | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
The Big Data open source tools landscape is growing rapidly. Check it out here.

Via Adrian Carr
Henry Pan's insight:

Who is going to be the top 3 tools?

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Adrian Carr's curator insight, June 7, 2013 12:49 AM

Another diagram attempting to categorise all the software offerings within the Big data space.

This looks to be derived from the 451 Group diagram or similar at least.

There are few comments :

- These are not all Open Source

- Many of the offerings will span several groupings, what is important is where (functionally) they come from and where they are going

- Open Source does not equate to free...check out the profits of Red Hat in case you are confused.

- There are way too many companies here to survive so choose wisely.

(not sure why I had the urge to write 'Grasshopper' at the end of the last senetence but I controlled it :) )

Bryan Borda's curator insight, June 7, 2013 8:04 AM

Talk about crowded markets!  How will you know which will survive and which will not?  The diagram title is a bit misleading, not all the solutions are open source tools.  However even those that are open source are NOT FREE! 

 

Look at longevity and enterprise customer base.  Look especially at those big data platforms who have customers using their solution in mission critical applications.  When serious make sure a thorough, competitive, apples to apples evaluation/proof of concept is conducted.

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Why the cloud will never (entirely) replace in-house applications - ZDNet

Why the cloud will never (entirely) replace in-house applications - ZDNet | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
ZDNet Why the cloud will never (entirely) replace in-house applications ZDNet Cloud computing, with its promise of cheap, easy access to enterprise-class applications via the internet, is a seductive concept for many cash-strapped organisations as...

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Google Glass Specs Have Begun to Surface

Google Glass Specs Have Begun to Surface | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
Google Glass may still be a year away from hitting store shelves, but developers who shelled out $1,500 at last year’s Google I/O to pre-order the device have begun to get their prototype models.

Via Tony Shan
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A–Z of Big Data, Cloud Computing, and SDN Topics

A–Z of Big Data, Cloud Computing, and SDN Topics | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
1 Convenient Venue – Jacob Javits Center, New York City; 3 Interlocking Themes – Cloud Computing, Big Data, & Software-Defined Networking; 4 Content-Packed Days – June 10–13, 2013; 6 Keynotes by Leading Industry Execs; 9 Distinct Parallel Tracks;...
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Five Reasons to Love America

Five Reasons to Love America | Enterprise Cloud Storage for Big Data Analytics | Scoop.it

by MICHAEL CHARNEY

 

The recent events in Boston--and, in particular, the way people pulled together so quickly and with such love--prompted me to revisit this blog from last Christmas... I thought you all might want to take a look again as well. 

 

Post-Boston, I would add a 6th reason: America is a country where the true majority are caring people. Despite our disagreements, we are all Americans.... all of us....

 


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What is your reason to love America?

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After Weak Earnings IBM Is Playing Catch Up This Year - Forbes

After Weak Earnings IBM Is Playing Catch Up This Year - Forbes | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
After Weak Earnings IBM Is Playing Catch Up This Year
Forbes
IBM in its 2015 roadmap stressed that it was focused on emerging growth economies, big data analytics and cloud computing services.
Henry Pan's insight:

Does big blue able to catch up?

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Big Data: The New Natural Resource | The Big Data Hub

Big Data: The New Natural Resource | The Big Data Hub | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
Infographic: Big data is the digital convergence of structured data found inside databases, and unstructured data flowing from new sources like social networks, mobile devices, sensors, RFID, smart meters and financial systems.

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Tony Agresta's curator insight, April 18, 2013 12:46 PM

Interesting metrics on how fast Big Data is growing.

Adrian Carr's curator insight, April 23, 2013 4:51 AM

Intresting infographic regarding the growth in Big Data

Rescooped by Henry Pan from Modern Marketer
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Social Influencers: Digital Marketing’s Most Overlooked and Misused Resource | Business 2 Community

Social Influencers: Digital Marketing’s Most Overlooked and Misused Resource | Business 2 Community | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
It is hard to believe that in a digital world where people are so connected, it still seems to be completely difficult for businesses to use that to their

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Art Jones's curator insight, April 7, 2013 5:43 PM

Social Influencers are only overlooked by those uninitiated to why we help our clients establish thought leadership in their marketspace. 

R.G. Riles's curator insight, April 8, 2013 8:08 AM

Any explanation required?

Jeannette Marshall's curator insight, April 8, 2013 10:58 AM

I would have liked to see Pinterest compared also because I believe people directly shop from posted images shared there

Rescooped by Henry Pan from Big Data "The Two Second Advantage"
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Hadoop 2013 – Part Four: Players

Hadoop 2013 – Part Four: Players | Enterprise Cloud Storage for Big Data Analytics | Scoop.it

The first three posts in this series talked about  performance,   projects and platforms as key themes in what is beginning to feel like a  watershed year for Hadoop. All three are reflected in the surprising emergence of a...


Via Marc McNeill
Henry Pan's insight:

Who is going to win?

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Marc McNeill's curator insight, March 11, 2013 2:16 PM

Who's at the top of the Enterprise Hadoop stack? Not who you think...@Gartner thinks it's @Intel and @MarkLogic http://gtnr.it/XCSTO4

Rescooped by Henry Pan from Big Data Technology, Semantics and Analytics
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IBM’s new data discovery and visualization cloud offerings with predictive analytics

IBM’s new data discovery and visualization cloud offerings with predictive analytics | Enterprise Cloud Storage for Big Data Analytics | Scoop.it

IBM is introducing new data discovery software that enables business users to visually interact with and apply advanced analytics to their data without any specialized skills to get deeper insights about their business. The new software will help close the analytics skills gap that makes current data discovery tools inaccessible for the everyday business user and make it possible to go from raw information to answers hidden deep within structured and unstructured information in minutes. 

 

- See more at: http://www.vizworld.com/2013/11/ibms-data-discovery-visualization-cloud-offerings-predictive-analytics/#sthash.Ux5doBkj.dpuf

 

 
Via Tony Agresta
Henry Pan's insight:

Is this a better tool set?

more...
Tony Agresta's curator insight, November 6, 2013 7:15 PM

It was bound to happen and IBM seems headed in the right direction - Predictive Analytics and Data Visualization converge in the cloud.  In a post 911 era, analysts recognized that revealing insights required the human mind to explore data in an unconstrained manner.   If they had the chance to interact with disparate data sets, visualize that data in different forms and navigate to connection points directed by their experience, they could quickly pinpoint relationships that matter.

Today, groundbreaking approaches in intelligence analysis have their foundations built on unconstrained data discovery.   Insurance organizations are applying interactive data visualization to uncover patterns that clearly point to fraud and collusion.  eCommerce organizations are using these techniques to examine both employee and vendor behavior as they connect the dots highlighting networks of interest.

This revolution in analysis is only just beginning.   Imagine what can be accomplished when predictive models and rules are applied to big data in real time yielding more focused data sets for discovery.  


Four years ago I spoke with a global top 10 bank that applied predictive  models to detect fraudulent transactions.   When I asked if they had combined this approach with data visualization to pick up on any error in the models, they responded that their analysts couldn't use those tools because they were too complex.   They couldn't identify fraud networks using relationship graphs.  After nearly $2 billion in fines, I wonder if they are rethinking this approach?   The fact is, they could have detected money laundering among their account holders by joining the results of predictive analysis with human data discovery. 

Within 5 years, I would be surprised if every major bank, insurance company, retailer and healthcare organization wasn't following in the footsteps of the intelligence community.   As these analytic methods converge, the criminal's chances of hiding the truth diminish dramatically. 

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ServiceNow customer brings own Platform to .Net Hackathon

ServiceNow customer brings own Platform to .Net Hackathon | Enterprise Cloud Storage for Big Data Analytics | Scoop.it

Via Mark Carroll
Henry Pan's insight:

Cool

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Mark Carroll's curator insight, August 5, 2013 11:51 AM

One of my customers just relayed the message showing the power of the ServiceNow platform. He brought his own platform offering to a .Net hackathon, solved a business problem in a fraction of the time needed, and won the "Least Lines of code" award! Kudos to Greg and Steve from Santander Consumer USA.

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Updated Database Landscape map – June 2013 — Too much information

Updated Database Landscape map – June 2013 — Too much information | Enterprise Cloud Storage for Big Data Analytics | Scoop.it

Via Tony Agresta
Henry Pan's insight:

Cool

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Tony Agresta's curator insight, June 10, 2013 9:47 AM


MarkLogic is uniquely positioned on this database landscape map.    Here's what makes the position very different from other vendors:


1.  Search - MarkLogic is directly connected to all the major enterprise search vendors.   Recent recognition of this was confirmed by Gartner in its Enterprise Search Magic Quadrant.   Notice that other NoSQL technologies are nowhere close to this connection point.


2.  General Purpose - MarkLogic provides an enterprise NoSQL database and Application Services and Search.   With support for many development languages, REST and JAVA APIs, MarkLogic has clear links to SAP, Enterprise DB and a host of other database providers.


3.   Graph and Document - MarkLogic has long been recognized as a document store and used widely all over the world for this purpose.  Notice the subtle connection to Graph as well connecting MarkLogic to other vendors in this space like Neo4J.  MarkLogic 7 promises to deliver a world class triple store to index subjects, predicates and objects in XML documents or load other triples through the MarkLogic Content Pump.  For the first time, the only Enterprise NoSQL technology with search will include semantics.  Updated APIs and support for SPARQL are part of this release.


4.  Big Tables - MarkLogic's ability to handle big data has long been known.  The olive green line is designated for vendors like MarkLogic, Cassandra, HBASE, etc.   MarkLogic's partnership with Intel for Distribution of Apache Hadoop and the fact that MarkLogic ships with Hadoop connectors provide additional confirmation for this position.


5.   Key Value Stores - Data can be stored as keys without a database schema required lby relational databases.  In MarkLogic's case, huge quantities of data can be indexed in real time with data stored in memory and disk making search results instant and complete.   After a recent analysis of over 50+ MarkLogic customers, the abilty to quickly get up and running and deliver new information products to market was a business driver they mentioned over and over again.


The fact is, no one else on the list has all of these qualities.   Because of this unique position, visually you see MarkLogic distanced from other clusters or long lists of technology vendors.  


To learn more, you can go to MarkLogic Resources.






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IDC Releases First Worldwide Hadoop-MapReduce Ecosystem Software Forecast, Strong Growth Will Continue to Accelerate as Talent and Tools Develop - prUS23471212

IDC Releases First Worldwide Hadoop-MapReduce Ecosystem Software Forecast... http://t.co/Bjfwmp9ccv

Via Tony Shan
Henry Pan's insight:

Right direction

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Amazon Web Services Battles Private Clouds

Amazon Web Services Battles Private Clouds | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
Amazon Web Services said its services were superior to private clouds, Wednesday, at an event in San Francisco.

Via Tony Shan
Henry Pan's insight:

Really?

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Big Data: the Hoarder's dream - Business Cloud News

Big Data: the Hoarder's dream - Business Cloud News | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
Business Cloud News Big Data: the Hoarder's dream Business Cloud News The era of Big Data is so closely aligned with cloud because it benefits from the same adoption of commodity hardware and open source software that suddenly makes the storage...
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Infographic: The BI Project Trail

Infographic: The BI Project Trail | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
It's shocking how many companies attempt to implement business intelligence software and fail. This infographic details the perils and profits enterprises may find on The Business Intelligence Trai...

Via Halo Business Intelligence
Henry Pan's insight:

Go West

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Amazon's S3 Storage Cloud Hits 2 Trillion Objects - Data Center Knowledge

Amazon's S3 Storage Cloud Hits 2 Trillion Objects - Data Center Knowledge | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
Amazon's S3 Storage Cloud Hits 2 Trillion Objects
Data Center Knowledge
AWS is an engine for startups and innovators across the web, and often serves (at least partially) as the backend for a lot of big time applications like Dropbox.
Henry Pan's insight:

How long will take Amazon to reach 3 trillion objects?

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The Most Data Storage for Your Buck - Popular Mechanics

The Most Data Storage for Your Buck - Popular Mechanics | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
Popular Mechanics
The Most Data Storage for Your Buck
Popular Mechanics
Cloud storage is a good way to go if you have a steady Internet connection or unlimited data, or you don't want to invest in a big external hard drive you could lose or destroy.
Henry Pan's insight:

What is your choose?

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eClinicalWorks EMR RCM Billing Services | ECW Revenue Cycle Maximization Support | CA

eClinicalWorks EMR RCM Billing Services | ECW Revenue Cycle Maximization Support | CA | Enterprise Cloud Storage for Big Data Analytics | Scoop.it
eClinicalWorks users needn't worry about their revenue cycle anymore ! We offer end to end ecw revenue maximization services.For more details contact 1 - 877 - 272 - 1572

Via angomark
Henry Pan's insight:

Which EMR is better?

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Big Data Can Bring Patients to Water But It Can’t Make Them Think - The CIO Report - WSJ

Aetna is using predictive analytics to help members reduce the likelihood of heart disease, but getting them to adhere to best health practices remains “a challenge.” (RT @bighealthidea: Aetna Innovation Labs in WSJ.


Via Tony Agresta
Henry Pan's insight:

That's right!

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