Welcome!

@DXWorldExpo Authors: Liz McMillan, Yeshim Deniz, Elizabeth White, Pat Romanski, Zakia Bouachraoui

Blog Feed Post

New White Paper on Big Data for Predictive Policing

By

bigdatapredictivepolicing-237x300CTOlabs.com, a subsidiary of the technology research, consulting and services firm Crucial Point LLC and a peer site of CTOvision.com, has just announced a white paper on the use of Big Data for Predictive Policing

In this paper we review the evolution of law enforcement use of Big Data and capture some key lessons learned. We also provide tips for getting started which should help any organization get moving on a predictive policing Big Data activity.

From the paper:

Law enforcement methodology has evolved tremendously in the past few decades to embrace quantitative analysis and statistics with the rise of data-driven policing. Now, law enforcement strategy is poised to take another leap forward with Big Data and predictive policing. Already, departments facing rising crime but falling budgets have turned to Big Data analytics to supplement the instincts of their officers and make patrols more proactive rather than reactive. Though much work remains to be done, advances in predictive policing have the potential to let law enforcement agencies do more with less and prevent crime rather than simply respond to it.

Patrol is the backbone of law enforcement, the largest use of department personnel and resources as well as the source of the majority of officer interactions with the community and hence has the greatest potential to reduce crime. Despite the perception of the old-fashioned “beat cop,” patrol has repeatedly been redefined through new technology. The introduction of 911, police cars, and radios first marginalized foot patrol and, especially in more active departments, made patrol primarily responsive, driven by calls for service. When officers did get the chance to patrol freely, working to reduce crime rather than respond to it, their “beats” would be determined by administrative divisions, areas they could reasonably cover, and, at best, “primal policing” based on experience and instinct.

Download the paper at:  Big Data for Predictive Policing

 

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley writes on enterprise IT. He is a founder of Crucial Point and publisher of CTOvision.com

DXWorldEXPO Digital Transformation Stories
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
Andi Mann, Chief Technology Advocate at Splunk, is an accomplished digital business executive with extensive global expertise as a strategist, technologist, innovator, marketer, and communicator. For over 30 years across five continents, he has built success with Fortune 500 corporations, vendors, governments, and as a leading research analyst and consultant.
Most DevOps journeys involve several phases of maturity. Research shows that the inflection point where organizations begin to see maximum value is when they implement tight integration deploying their code to their infrastructure. Success at this level is the last barrier to at-will deployment. Storage, for instance, is more capable than where we read and write data. In his session at @DevOpsSummit at 20th Cloud Expo, Josh Atwell, a Developer Advocate for NetApp, will discuss the role and value...
"When you think about the data center today, there's constant evolution, The evolution of the data center and the needs of the consumer of technology change, and they change constantly," stated Matt Kalmenson, VP of Sales, Service and Cloud Providers at Veeam Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Today, we have more data to manage than ever. We also have better algorithms that help us access our data faster. Cloud is the driving force behind many of the data warehouse advancements we have enjoyed in recent years. But what are the best practices for storing data in the cloud for machine learning and data science applications?
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term.
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science" is responsible for guiding the technology strategy within Hitachi Vantara for IoT and Analytics. Bill brings a balanced business-technology approach that focuses on business outcomes to drive data, analytics and technology decisions that underpin an organization's digital transformation strategy.
@DevOpsSummit at Cloud Expo, taking place November 12-13 in New York City, NY, is co-located with 22nd international CloudEXPO | first international DXWorldEXPO and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time t...
Headquartered in Plainsboro, NJ, Synametrics Technologies has provided IT professionals and computer systems developers since 1997. Based on the success of their initial product offerings (WinSQL and DeltaCopy), the company continues to create and hone innovative products that help its customers get more from their computer applications, databases and infrastructure. To date, over one million users around the world have chosen Synametrics solutions to help power their accelerated business or per...