Blogs

Jen Q. Public: Predict criminal activity and effectively investigate crime

Jen Q. Public: Predict criminal activity and effectively investigate crime

April 24, 2015 | by Natasha Bishop, Big Data Strategy lead, IBM
In the first edition of Jen Q. Public, Jen enjoys a quiet, safe evening at home thanks to predictive analytics and intelligent policing.
Public Sector News: April 2015 Issue 1

Public Sector News: April 2015 Issue 1

April 24, 2015 | by Natasha Bishop, Big Data Strategy lead, IBM
The Internet and our social feeds are chock full of blogs, news and articles on the strides that the public sector is making with big data and analytics. This Public Sector News series skims the wires and pulls out the most interesting articles that give us fodder for thought and debate.
How the Internet of Things is driving the future of electric vehicles

How the Internet of Things is driving the future of electric vehicles

April 22, 2015 | by Ron Felice, Solution Architect for Analytics and IoT, IBM
The future of grid modernization and the integration of battery electric and plug-in hybrid electric vehicles is the topic of today's Internet of Things blog.
HealthToon: Taking down chronic diseases with advanced analytics

HealthToon: Taking down chronic diseases with advanced analytics

April 17, 2015 | by Oliver Clark, Social Media Specialist for Public Sector, IBM
Our first HealthToon brings attention to the problem of healthcare providers who are under pressure to reduce readmissions for patients with chronic health conditions.
Fighting crime with mobile technology

Fighting crime with mobile technology

April 9, 2015 | by Bob Fund, i2 COPLINK Product Manager, IBM
Did you know that the convenience and speed of mobile is now applied to the work of policing? Criminals are often experts at utilizing technology to commit crime. Now our police officers have mobile speed and ease of use to help them make data-driven decisions on the front lines.
Develop a better world with Hadoop

Develop a better world with Hadoop

April 3, 2015 | by Jason Burns, ITSO Social Business Manager, IBM
How would you save the world? That’s the question we posed to the development community several months ago when we launched our Hadoop4Good Campaign.
Delving deeply into the narrative hierarchies of computer vision analytics

Delving deeply into the narrative hierarchies of computer vision analytics

March 26, 2015 | by James Kobielus, Big Data Evangelist, IBM
Deep learning algorithms are growing progressively smarter at recognizing patterns in video, audio, speech, image, sensor and other non-textual data objects. Correlation of deep learning model results with other sources of contextual information can show how the information supplied by media and...
The evolving shape of distributed databases in the Internet of Things

The evolving shape of distributed databases in the Internet of Things

March 19, 2015 | by James Kobielus, Big Data Evangelist, IBM
Databases are evolving into a new stream-centric architecture that is well-suited to real-time distributed analytic computing in the Internet of Things. This new paradigm will leverage distributed event logs, temporal database concepts and materialized views as core architectural concepts. As it...
Only one of the 5 Vs of big data really matters

Why only one of the 5 Vs of big data really matters

March 19, 2015 | by Bernard Marr, Best-Selling Author, Keynote Speaker and Leading Business and Data Expert
People have been using the four Vs (Volume, Velocity, Variety and Veracity) to describe big data, but all of the big data in the world is no good unless we can turn it into Value, the fifth V of big data.

Visualizing big science like never before

March 12, 2015 | by James Kobielus, Big Data Evangelist, IBM
Scientists are increasingly using computational methods to analyze larger samples of the populations of interest, as well as deeper correlations within those populations, than ever before. This is the new paradigm of whole-population analytics, which has become more feasible as storage costs...

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