This document discusses big data in the context of smart cities. It defines smart cities and big data, describing big data as huge volumes of structured and unstructured data created in real-time from various sources. These sources include directed surveillance, automated data generation from sensors and devices, and volunteered data from social media and crowdsourcing. The document notes that big data in smart cities is growing exponentially and will be critical for monitoring, evaluating and controlling city operations. However, it also warns of risks around data protection and the politics of data collection. Overall, the document argues that while big data can improve city governance when managed responsibly, its political implications and impacts on citizens must be carefully considered.
Big data and smart cities: Key data issuesrobkitchin
This presentation was delivered at the first meeting of the Irish Government Data Forum, July 14th 2015. It was designed to provide an overview of key data issues related to smart cities in order to set the scene for a discussion about the kinds of data issues the forum might explore across a range of domains.
Discussed about the things that happen in 60 seconds, big data, and 4V's of big data. The presentation includes analytics, its evolution and applications.
In this presentation, Shiva introduces the topic of IoT and the associated trends. Mobile security is his interest area. His interest areas lie in designing energy efficient smart devices.
In this presentation, Samdish introduces IoT and associated trends. Samdish is interested in surveillance applications using IoT where image processing could be done by MATLAB and data storage can happen on cloud.
Big data and smart cities: Key data issuesrobkitchin
This presentation was delivered at the first meeting of the Irish Government Data Forum, July 14th 2015. It was designed to provide an overview of key data issues related to smart cities in order to set the scene for a discussion about the kinds of data issues the forum might explore across a range of domains.
Discussed about the things that happen in 60 seconds, big data, and 4V's of big data. The presentation includes analytics, its evolution and applications.
In this presentation, Shiva introduces the topic of IoT and the associated trends. Mobile security is his interest area. His interest areas lie in designing energy efficient smart devices.
In this presentation, Samdish introduces IoT and associated trends. Samdish is interested in surveillance applications using IoT where image processing could be done by MATLAB and data storage can happen on cloud.
This paper was presented at the 'Towards a Magna Carta for Data' workshop at the RDS in Dublin, Sept 17th. It discusses how considerations of the ethics of big data consist of much more than the issues of privacy and security that it often gets boiled down to, and argues that the various ethical issues related to big data are multidimensional and contested; vary in nature across domains, and which ethical philosophy is adopted matters to the deliberation over data rights.
In this presentation, Shivani introduces IoT and associated trends. Shivani describes what seems like a very interesting future to have with mobile as the gateway to a smart home.
The ethics of urban big data and smart citiesrobkitchin
This presentation discusses the ethical, privacy and security implications of urban big data and smart city technologies and forwards a set of potential solutions for minimizing harms.
The ethics and risks of urban big data and smart citiesrobkitchin
This slidedeck provides a brief introduction to the ethics and risks associated with urban big data and smart cities and was presented at the launch of the Institute for Data, Systems and Society at MIT, Sept 2016
Jen Q. Public: How analytics is impacting government, education and public sa...IBM Analytics
Citizens today want to create a better tomorrow for our children and grandchildren. Looking at our world, Jen Q. Public sees the opportunity that analytics, the Internet of Things and the cognitive era bring to our cities, schools and governments. This collection of stories and cartoons explore use cases related to these advancements. Read the latest entry at http://ibm.co/jenqpublic and learn more about analytics for government today http://ibm.co/governmentanalytics
The Internet of Things (IoT), is defined as the network of physical objects—devices, vehicles, buildings and other items—embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data.
Geoff Mulgan, CEO di Nesta, uno dei maggiori esperti mondiali di innovazione sociale, è stato il primo speaker del ciclo di eventi Nesta Italia Incontra e ci ha parlato di Intelligenza Collettiva e per l’occasione ha introdotto il suo nuovo libro “Big Mind”, che verrà pubblicato in Italia a inizio giugno da Codice Edizioni.
Per sentire l'audio:
https://soundcloud.com/user-771919659/nesta-italia-incontra-geoff-mulgan
A short set of slides that accompanied my thoughts as a discussant on papers presented at the alt.conference on Big Data at the Conference of the Association of American Geographers, Tampa, April 8-12, 2014
Internet of People is a new computing paradigm designed to enable Smart Sustainable Places which follow Social Good principles
Smart Sustainable Places =
IoT +
Big Data +
Blockchain +
People Participation through CO-PRODUCTION
This paper was presented at the 'Towards a Magna Carta for Data' workshop at the RDS in Dublin, Sept 17th. It discusses how considerations of the ethics of big data consist of much more than the issues of privacy and security that it often gets boiled down to, and argues that the various ethical issues related to big data are multidimensional and contested; vary in nature across domains, and which ethical philosophy is adopted matters to the deliberation over data rights.
In this presentation, Shivani introduces IoT and associated trends. Shivani describes what seems like a very interesting future to have with mobile as the gateway to a smart home.
The ethics of urban big data and smart citiesrobkitchin
This presentation discusses the ethical, privacy and security implications of urban big data and smart city technologies and forwards a set of potential solutions for minimizing harms.
The ethics and risks of urban big data and smart citiesrobkitchin
This slidedeck provides a brief introduction to the ethics and risks associated with urban big data and smart cities and was presented at the launch of the Institute for Data, Systems and Society at MIT, Sept 2016
Jen Q. Public: How analytics is impacting government, education and public sa...IBM Analytics
Citizens today want to create a better tomorrow for our children and grandchildren. Looking at our world, Jen Q. Public sees the opportunity that analytics, the Internet of Things and the cognitive era bring to our cities, schools and governments. This collection of stories and cartoons explore use cases related to these advancements. Read the latest entry at http://ibm.co/jenqpublic and learn more about analytics for government today http://ibm.co/governmentanalytics
The Internet of Things (IoT), is defined as the network of physical objects—devices, vehicles, buildings and other items—embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data.
Geoff Mulgan, CEO di Nesta, uno dei maggiori esperti mondiali di innovazione sociale, è stato il primo speaker del ciclo di eventi Nesta Italia Incontra e ci ha parlato di Intelligenza Collettiva e per l’occasione ha introdotto il suo nuovo libro “Big Mind”, che verrà pubblicato in Italia a inizio giugno da Codice Edizioni.
Per sentire l'audio:
https://soundcloud.com/user-771919659/nesta-italia-incontra-geoff-mulgan
A short set of slides that accompanied my thoughts as a discussant on papers presented at the alt.conference on Big Data at the Conference of the Association of American Geographers, Tampa, April 8-12, 2014
Internet of People is a new computing paradigm designed to enable Smart Sustainable Places which follow Social Good principles
Smart Sustainable Places =
IoT +
Big Data +
Blockchain +
People Participation through CO-PRODUCTION
Analyzing Role of Big Data and IoT in Smart CitiesIJAEMSJORNAL
Big data and Internet of Things (IoT) technologies have evolved and expanded tremendously and hence play a major role in building feasible initiatives for smart city development. IoT and big data form a perfect blend in bringing an interesting and novel challenge to attain futuristic smart cities. These new challenges mainly focus on business and technology related issues that help smart cities to formulate their principles, vision, & requirements of smart city applications. In this paper, the role of big data and IoT technologies with respect to smart cities is analyzed. The benefits that smart cities will have from big data and IoT are also discussed. Various challenges faced by smart cities in general related to big data and IoT have also been described here. Moreover, the future statistics of IoT and big data with respect to smart cities is also deliberated.
Smart Cities Market: Advancing Towards a Connected and Resilient Futureajaykumarpmr
The concept of smart cities, leveraging technology to enhance urban living, is rapidly gaining traction worldwide. Smart cities integrate various digital technologies, data analytics, and connectivity solutions to improve infrastructure, services, and quality of life for residents. The global smart cities market is witnessing robust growth, driven by urbanization, sustainability initiatives, and the pursuit of efficient urban management. According to Persistence Market Research's projections, the smart cities market to expand at a significant CAGR of 10.3%, reaching an estimated value of US$ 1274.5 billion by 2033, up from US$ 525.8 billion in 2024.
Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Service Design and Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Persuasive technologies and Behaviour Change
Part III: Implications for CyberParks
European projects on enabling Smarter Environments: WeLive, City4Age, GreenSoul
Reflections on the need for collaboration among stakeholders mediated with technology to realize CyberParks
Conclusions and practical implications
Open Smart Cities in Canada - Webinar 3 - EnglishOpen North
In this webinar we present a first ever definition for an Open Smart City and the Open Smart Cities Guide V1.0, informed by research conducted in Canada and an examination of international best practices. In the context of Canada’s Smart Cities Challenge and the public conversation regarding Sidewalk Labs, this webinar gave us timely opportunity to receive public feedback on the definition and structure of the guide. The webinar refers to tools, practices, policies, recommendations and legal frameworks to guide Canadian municipalities toward co-creating Open Smart Cities with their residents.
License: CC BY-SA 4.0
1. BackgroundThe use of artificial intelligence (AI) in smart citiesTatianaMajor22
1. BackgroundThe use of artificial intelligence (AI) in smart cities, its effect on governance, decision-making, innovative discipline, and prospects of revolution have been a topic of discussion in debate and practice recent years. Data generation utilizing AI is possible in government and private sectors exploring new approaches to understand our world. The availability of big data may be effective in optimum usage of resources while making informed decisions. Artificial intelligence and the Internet of Things can positively influence smart decision-making. At present, AI is becoming a need for daily life and organizational procedures as technology has taken great dives in empowering AI advancement. AI contributes to smart cities’ decision making because smart decision-making utilizes a systematic and organized approach to collect data and applies rational decision-making systems rather than using hit and miss, instinct, or generalizing from overall experience.“Smart cities” is a multidimensional notion and has been defined differently by numerous scholars. However, the compulsory prerequisite to being a smart city is to attain sustainable social, environmental, and economic development and improve the living standards of society by utilizing Information and Communication Technology (ICT) and AI. The technological aspect of a smart city in the decision-making process can be defined as “a technologically interconnected city” or the use of artificial intelligence with big data to accomplish the intelligence and efficiency in managing the city’s resource. A study about smart decision-making in smart cities using big data introduced a three-layer framework characterizing a smart city as an “instrumented, interconnected, and intelligence”.The past few years have seen rapid growth in urbanization. According to the economic and social affairs body of the United States, approximately 55 percent of the total population in the world live in urban cities. This number is expected to increase to 68% by 2050 (Allam & Dhunny, 2019). The rapid increase in urban population is expected to exert pressure on sustainable environment initiatives leading to higher demand from the large population. To avoid such pressure, there is a need of coming up with smart cities. According to scholars, smart cities will reduce the environmental pressure caused by the increased urban population by 30% (Allam & Dhunny, 2019). A smart city is described as an urban area that depends on information technology to improve its quality of life, grow its economy and implement government policies (Allam & Dhunny, 2019). Past studies have indicated that there exist three layers that are important for the functionality of a smart city. · The technological base of a smart city entails sensor-equipped devices and smart digital phones that help in communication (Zhang et al., 2021). · There are computers that are used in the digital processing of data to deliver favorable solutions (Zhang e ...
Open Smart City in Canada Project
Funded by: GeoConnections
Lead by: OpenNorth
Project core team:
Rachel Bloom & Jean-Noe Landry, Open North
Dr. Tracey P. Lauriault, Carleton University
David Fewer, LL.M., Canadian Internet Policy and Public Interest Clinic (CIPPIC)
Dr. Mark Fox, University of Toronto
Research Assistants Carleton University
Carly Livingstone
Stephen Letts
Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Part III: WeLive Case Study
WeLive as Open Government enabling methodology and platform
Reflections on the need for collaboration among stakeholders to realize Smarter Cities
Conclusions and practical implications
From Aspiration to Reality: Open Smart Cities
Open smart cities might become a reality for Canada. Globally there are a number of initiatives, programs, and practices that are open smart city like which means that it is possible to have an open, responsive and engaged city that is both socio-technologically enabled, but also one where there is receptivity to and a willingness to grow a critically informed type of technological citizenship (Feenberg). For an open smart city to exist, public officials, the private sector, scholars, civil society and residents and citizens require a definition and a guide to start the exercise of imagining what an open smart city might look like. There is much critical scholarship about the smart city and there are many counter smart city narratives, but there are few depictions of what engagement, participatory design and technological leadership might be. The few examples that do exist are project based and few are systemic. An open smart city definition and guide was therefore created by a group of stakeholders in such a way that it can be used as the basis for the design of an open smart city from the ground up, or to help actors shape or steer the course of emerging or ongoing data and networked urbanist forms (Kitchin) of smart cities to lead them towards being open, engaged and receptive to technological citizenship.
This talk will discuss some of the successes resulting from this Open Smart Cities work, which might also be called a form or engaged scholarship. For example the language for the call for tender of the Infrastructure Canada Smart City Challenge was modified to include as a requisite that engagement and openness be part of the submissions from communities. Also, those involved with the guide have been writing policy articles that critique either AI or the smart city while also offering examples of what is possible. These articles are being read by proponents of Sidewalk Labs in Toronto. Also, the global Open Data Conference held in Argentina in September of 2018 hosted a full workshop on Open Smart Cities and finally Open North is working toward developing key performance indicators to assess those shortlisted by Infrastructure Canada and to help those communities develop an Open Smart Cities submission. The objective of the talk is to demonstrate that it is actually possible to shift public policy on large infrastructure projects, at least, in the short term.
TCS Innovation Forum - The Digital World in 2025 - 28 05 15Future Agenda
On 28th May we are running a min workshop at the London TCS Innovation Forum. This is looking how digital and data are changing society and this presentation is a starting point for that discussion.
Cloud, Big Data, IoT, ML - together to build a real world use case!Krishna-Kumar
Open Source India Conference 2017 - Cloud Big Data IoT ML together to build a real world use case / solution. Comparative study of various software stacks included.
CalGIS 2015: People and Practice, The Changing role of GIS and Civic Technolo...Alicia Rouault
Opening keynote address to CalGIS 2015 on behalf of Code for America titled Peoeple and Practice: The changing role of GIS professionals and civic tech in 2015
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
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Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
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JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
1. Big Data in Smart Cities
Mario Lelovsky
1st Vicepresident, IT Association Slovakia
Oslo, 4.6. 2018
2. Contents
1. Smart Cities
1.1 Smart city definition
2. Big Data
2.1 Big Data in Smart Cities
2.2 Big Data sources
2.3 Big Data trends and risks
2.4 Big Data politics
2.5 Big Data – Good for Smart Cities ? ConclusionCo
Bibliography
Str. 2
8. 2.1 Big Data in Smart Cities
A key ingredient in the smart city is the production and analysis of „big data‟
– huge in volume, consisting of terabytes or petabytes of data;
– high in velocity, being created in or near real-time;
– diverse in variety, being structured and unstructured in nature, and often
temporally and spatially referenced;
– exhaustive in scope, striving to capture entire populations or systems (n=all);
– Fine-grained in resolution, aiming to be as detailed as possible, and uniquely
indexical in identification;
– flexible, holding the traits of extensionality (can add new fields easily) and
scaleability (can expand in size rapidly).
9. 2.2 Sources of Big Data in Smart Cities
• Directed surveillance
• Automated data generation
– Capture systems
– Digital devices
– Transactional and interactional data
– Clickstream data
– Sensed data
– IoT (Internet of things) and M2M (machine to machine) data
• Volunteered data generation
– Social media
– Crowdsourcing
– Citizen science
17. 2.4 Big urban Data politics
1. Data within smart city initiatives are portrayed as being natural, essential,
neutral and objective measures.
2. Sensors, cameras, algorithms have no politics or agenda; they reflect and
produce truths about the world
3. Such a framing enables smart city projects to present as being politically
benign and commonsensical
4. However, data do not exist independently of the ideas, techniques,
technologies, people and contexts that conceive, produce, process, manage,
analyze and store them; “raw data is an oxymoron”
5. Big data are representations and samples, inflected by social privilege and
social values
6. They are generated within systems designed to enact a particular political and
policy vision
18. 2.5 Big Data – Good for Smart Cities? Conclusion
1. Smart Cities are built around Big Data.
2. Data will grow “forever”, need to be well managed and evaluated and will
allow to monitor, evaluate and control the city life.
3. Real-time big data analysis can be used to improve understanding,
governance, quality of life, efficiency, effectiveness, competitiveness and
productivity.
4. The critical data and “to be protected” data need to be managed with high
priorities.
5. The questions regarding the politics of big urban data need to be answered
7. Benefits should always be focused to the citizen at the end of the day
There is a massive opportunity for data to affect positive change on all of human
society. Not only is data making business more effective, but it is in the process of
transforming every aspect of the individual's life.
20. Sources
1. Rob Kitchin Rob.Kitchin@nuim.ie, National University of Ireland, Smart Cities
and Big Data and their consequences, 2013
2. Data Age 2025: The Evolution of Data to Life-Critical, David Reinsel, John
Gantz and John Rydning, analysts at IDC Corp. on March 2017, sponsored
by Seagate Technology LLC
3. Dr. Antonio J. Jara, jara@ieee.org. HES-SO/Valais, Switzerland
Str. 20