Cloud Security Authors: Zakia Bouachraoui, Yeshim Deniz, Terry Ray, Liz McMillan, Pat Romanski

Related Topics: @DXWorldExpo, Cloud Security, @ThingsExpo

@DXWorldExpo: Blog Feed Post

Big Data’s Contribution to Public Safety By @BriggPatten | @BigDataExpo #BigData

A prime example is bridge maintenance where U.S department of transport collect tracks record from more than 600,000 bridges

Big Data's Contribution to Public Safety
By Brigg Patten

Public safety answering point (PSAP) has relatively remained unchanged over an extended period of time. However, due to emerging technology PSAP is changing dramatically and it is becoming invaluable to many agencies that deal with public safety. The change can be directly attributed to increased information from various sources that create big data. Big data can be defined as data that is too large and complex to be analyzed using traditional data processing methods. Today, a software can be employed to analyze and pick relevant information in a form of records, photos and more from a vast amount of collected data without the need of arduous task of manual searching.

Understanding how big data can be used to gather actionable information that promote public safety and improve people's lives is essential. Big data is indispensable in providing an insightful connection between factors that affect public safety and enables better response in the event of a disaster, both to businesses and government.

In healthcare, there are technology startups from which healthcare agencies can take advantage of big data and track of patients' behaviors to improve health outcomes. In healthcare big data collection is deploying gamification. Companies have developed different wearable trackers that can measure patient progress and performance. While the principles and concept of gamification are inborn to almost all people, games such as patient partner that are aimed to help patient adhere to medication and monster manor that engage children with diabetic, collect information from patients. They serve as prime gamification examples that can help collect big data geared toward health improvement and public safety.

A prime example how big data contribute to public security is bridge maintenance where U.S department of transport collect tracks record from more than 600,000 bridges. Traditionally the process of inspecting bridges has been slow and inaccurate since each bridge had to be inspected manually. From analyzes of big data collected, about 25% of those bridges have been classified as deficient. By placing a different kind of sensors in different areas, it becomes possible to track various factors that affect the structural integrity of the bridge. Sensors can be employed to monitor day-to-day tear and wear from regular traffic to effects of a winter storm or seismic activity. The sensors make it possible for data to be collected in a central location without the need to send a human inspector. In addition, it allows for real-time analysis of crucial data, especially when the data is coupled with other important factors, thus allowing the pending problem to be addressed faster.

In controlling crime rate, law enforcement relies on big data that is collected from different zones. Research has shown that crime activities often cluster at particular locations that can define easily. From a high school student research on big data project, a case study analyzing crime rate in San Francisco. The student found out that huge majority of crime occurs in areas with about ten liquor stores within a 2-mile radius. Also, they discovered that a particular area experienced a crime after every three hours, and whenever there was a game in the area the crime rate increased by 20%. The crime rate tends to be higher if the game was played on the weekend and it was even higher if the home team won. These were interesting insight collected after going through millions of data points. The study serves as a good example of a pilot project that can inform when crime rate, in particular, area tend to peak. Which street, events or business tend to attract crime rate or which areas in town need higher policing.

While improving public safety, utilities companies and government departments can make use of big data from which enormous amount of information and patterns are derived. This approach to public safety is supported by growing number of big data resources and advancing computer technologies. Besides, big data can improve efficiency and cut cost in promoting the long run

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

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...