The need is a flexible, scalable, secure and governed platform that will provide the decision-makers with a unified platform to track, analyze and manage smart devices.
A short version of the presentation slides during the recent INTAN Kampus Wilayah Sarawak Talk (Oct. 7, 2016). The rest of the contents can be downloaded from previous slides. Check out my Slideshare.
A short version of the presentation slides during the recent INTAN Kampus Wilayah Sarawak Talk (Oct. 7, 2016). The rest of the contents can be downloaded from previous slides. Check out my Slideshare.
This business seminar focuses on the objective of understanding Iot Smart Cities. Especially concerning opportunities, challenges, risks, strengths, threats, macroeconomic factors, market consolidation and maturation and more. Relevant for students and professionals interested in the IoT sector.
In this presentation, Venkatesh introduces IoT and associated trends. His interest area lies in analytics of data obtained through sensors. Some of his ideas include predicting mean sea level based on Oxygen levels, Intelligent transport systems etc.
Smart City Application for Local Authority Using CitiAct - A Case StudyDr. Mazlan Abbas
Invited Talk - Building Local Capacity in Understanding, Analyzing and Visualizing Big Data in Malaysian Cities in Melaka, 4th MELAKA Workshop, 29 Feb – 2 March 2016
A study on disruptive technologies toward smart cities governanceBOHRInternationalJou1
Digital technology is employed to enhance decision-making, streamline service delivery, and optimize
administrative processes within the government. Its purpose is to enhance the efficacy, efficiency, and transparency
of governance. In smart cities, smart governance plays a vital role in augmenting the efficiency and effectiveness
of municipal services while promoting transparency and citizen accountability. In our study, we have studied the
disruptive technologies in smart cities governance from a theoretical standpoint. We have focused on the primary
disruptive technologies utilized in the governance of smart cities—Blockchain, Artificial Intelligence, Internet of
Things, Big Data, and 3D Printing—and we understand how each of these technologies is employed in the
growth of smart cities. We also examined citizen awareness of the use and deployment of these technologies
as part of our study. As part of our study, we also analyzed how aware citizens were of the use and deployment
of these technologies. When compared with other applications of various technologies, our analysis finds that
Big Data is the most extensively employed technology in the construction of smart cities. This article will
come to the conclusion that these technologies have a substantial impact on the growth of smart cities and
its governance.
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.
This business seminar focuses on the objective of understanding Iot Smart Cities. Especially concerning opportunities, challenges, risks, strengths, threats, macroeconomic factors, market consolidation and maturation and more. Relevant for students and professionals interested in the IoT sector.
In this presentation, Venkatesh introduces IoT and associated trends. His interest area lies in analytics of data obtained through sensors. Some of his ideas include predicting mean sea level based on Oxygen levels, Intelligent transport systems etc.
Smart City Application for Local Authority Using CitiAct - A Case StudyDr. Mazlan Abbas
Invited Talk - Building Local Capacity in Understanding, Analyzing and Visualizing Big Data in Malaysian Cities in Melaka, 4th MELAKA Workshop, 29 Feb – 2 March 2016
A study on disruptive technologies toward smart cities governanceBOHRInternationalJou1
Digital technology is employed to enhance decision-making, streamline service delivery, and optimize
administrative processes within the government. Its purpose is to enhance the efficacy, efficiency, and transparency
of governance. In smart cities, smart governance plays a vital role in augmenting the efficiency and effectiveness
of municipal services while promoting transparency and citizen accountability. In our study, we have studied the
disruptive technologies in smart cities governance from a theoretical standpoint. We have focused on the primary
disruptive technologies utilized in the governance of smart cities—Blockchain, Artificial Intelligence, Internet of
Things, Big Data, and 3D Printing—and we understand how each of these technologies is employed in the
growth of smart cities. We also examined citizen awareness of the use and deployment of these technologies
as part of our study. As part of our study, we also analyzed how aware citizens were of the use and deployment
of these technologies. When compared with other applications of various technologies, our analysis finds that
Big Data is the most extensively employed technology in the construction of smart cities. This article will
come to the conclusion that these technologies have a substantial impact on the growth of smart cities and
its governance.
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.
In a world that is becoming more urbanized the idea of cities is gaining traction as city dwellers look for solutions to tackle the problems caused by rapid growth and rising demands. Smart city solutions, which incorporate technology data analysis and connectivity, into infrastructure are proving to be game changers in ways. Here are ten advantages of smart city solutions that are shaping the cities of the future;
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.
IoT is changing the way cities are run till recently .With real data analysis IoT can make city more resilient and sustainable. We at Vogelkop Design helps to find solutions for sustainable ways and means to do so. Attached presentation would give you glimpse of how IoT is changing the scenario.
To know more about how we can help to incorporate IoT solutions for built spaces as well as city planning , please send your queries to vogelkopdesigns@gmail.com
MULTI-AGENT BASED IOT SMART WASTE MONITORING AND COLLECTION ARCHITECTURE ijcseit
Solid waste management is one of the existing challenges in urban areas and it is becoming a critical issue due to rapid increase in population. Appropriate solid waste management systems are important for improving the environment and the well-being of residents. In this paper, an Internet of Things(IoT) architecture for real time waste monitoring and collection has been proposed; able to improve and optimize solid waste collection in a city. Netlogo Multi-agent platform has been used to simulate real time monitoring and smart decisions on waste management. Waste filling level in bins and truck collection process are abstracted to a multi-agent model and citizen are involved by paying the price for waste collection services. Furthermore, waste level data are updated and recorded continuously and are provided to decision algorithms to determine the vehicle optimal route for waste collection to the distributed bins in the city. Several simulation cases executed and results validated. The presented solution gives substantial benefits to all waste stakeholders by enabling the waste collection process to be more efficient
The Contribution of Technologies in the Development of Smart Cities.Techugo
Technologies are driving the development of smart cities by enabling efficient infrastructure, data-driven decision-making, IoT connectivity, renewable energy solutions, and improved services for citizens, fostering sustainability and quality of life.
MULTI-AGENT BASED IOT SMART WASTE MONITORING AND COLLECTION ARCHITECTUREijcseit
Solid waste management is one of the existing challenges in urban areas and it is becoming a critical issue
due to rapid increase in population. Appropriate solid waste management systems are important for
improving the environment and the well-being of residents. In this paper, an Internet of Things(IoT)
architecture for real time waste monitoring and collection has been proposed; able to improve and
optimize solid waste collection in a city. Netlogo Multi-agent platform has been used to simulate real time
monitoring and smart decisions on waste management. Waste filling level in bins and truck collection
process are abstracted to a multi-agent model and citizen are involved by paying the price for waste
collection services. Furthermore, waste level data are updated and recorded continuously and are provided
to decision algorithms to determine the vehicle optimal route for waste collection to the distributed bins in
the city. Several simulation cases executed and results validated. The presented solution gives substantial
benefits to all waste stakeholders by enabling the waste collection process to be more efficient
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 ...
Blockchain technology has been proposed as a way to track and trace waste throughout its lifecycle, promoting transparency and accountability in waste management processes. However, challenges such as data interoperability, privacy concerns, and regulatory barriers have limited its widespread adoption in the waste management sector.
Overall, while these innovative waste management ideas hold promise for addressing global waste challenges, overcoming barriers to their effective implementation will require collaboration, investment, and ongoing research and development efforts.Smart Waste Monitoring System: Implement a digital platform that utilizes IoT (Internet of Things) sensors to monitor waste bins' fill levels in real-time. This data can optimize waste collection routes, reduce fuel consumption, and minimize overflowing bins. The government can invest in the deployment of sensor technology and provide subsidies for municipalities to adopt smart waste management systems.
The population of cities around the world is increasing, and cities are struggling to cope.
As a silent force transforming the world, technology is now being used to manage the rapid urbanization process and create smarter cities.
The Internet of Things (IoT) has become an important part of creating a more efficient, sustainable, and resilient city, and demonstrated the growing impact it will have on people and the planet.
Smart cities: Understanding policies, standards, applications and case studies IJECEIAES
This paper presents the integration of required basic facilities of living such as healthcare, education, and infrastructure for building the smart cities. The administrations of smart cities should have the smart governance, safety measures with cultural and social stimulus. Four building blocks of smart cities, i.e., people and environment, smart utilities, smart technology and smart administration are described in the present paper. The aim of this paper is to give a clearer perspective of the key decisions with spatial reference that may assume a key part in the plan of a smart city technique. Application of various technologies, for examples big data, artificial intelligence, machine learning, internet of things (IoT), cloud computing, block chain technology to the smart cities are discussed in this paper. Various challenges of smart cities such as information technology (IT) infrastructure, cost, privacy, security, efficiency, fossil fuel dependency and congested commutes with proposed solutions are also presented in this paper.
Global capability centers driving innovation growth in digital worldPolestarsolutions
Global capability centers (GCCs) are playing a crucial role in driving innovation and growth in the digital world by leveraging technology and talent.
link: https://www.polestarllp.com/ebook/global-capability-centers-driving-innovation-growth-in-digital-world
Data democratization the key to future proofing data culturePolestarsolutions
Learn how to empower your organization with accessible data insights through democratizing your data. This guide offers tips for choosing the right tools and fostering a data-driven culture.
Understand the importance of visualization and analytics for CPG Industry and know the components of building the best dashboards to help leverage the CPG value chain.
You've probably heard about Clickstream Analysis by now as it's a term which is increasingly being used. But what does it actually mean and what makes this so interesting?
Manufacturing is a sophisticated function where people try to juggle between the tasks of increasing productivity, managing their inventory, and optimizing their resource utilization. All this has to be done without compromising on the quality of the product and this is why we are talking about - Production Planning and Control strategy. This strategy for manufacturing combines two essential components of manufacturing - #productionplanning and production control.
Read our e-book to know, what the crucial stages in production planning are, some best practices, and how it is important to get a granular understanding of which section needs to do what, along with where, when, and how.
Production Planning Manufacturing inventory E-book
Link: https://www.polestarllp.com/ebook/production-planning-in-manufacturing-industry-e-book
Follow Polestar Solutions for more such content.
It is imperative for organizations to manage the flow of data at every stage of the data life cycle. In this #creative we are breaking down the data lifecycle with extended stages that have cropped up with modern practices and platforms.
Link: https://polestarllp.com/services/us/analytics-support
Augmented analytics will push the analytics adoptionPolestarsolutions
The world of data analytics is no longer restricted to data scientists, IT, and analysts. Augmented analytics combines the best aspects of ML and human curiosity to assist users get quicker insights, consider data from unique angles, increase productivity and assist users of all skill levels to make smarter decisions based on AI analytics.
Strategic workforce planning is important for companies, since employees are inarguably the most vital "asset". Today, the emergence of data analytics and planning platforms are making it easier for companies to gain insight into important metrics, answer pressing questions and to design an effective human capital management programme.
Read more - https://www.polestarllp.com/strategic-workforce-planning-for-human-capital-management
Here's Our Take On The Qlik Sense February Product Updates.
Disclaimer: (The views expressed here are of Polestar Solutions, and may not reflect those of Qlik)
With the February release, Qlik has invested intensively in enhancing the end-user as well as developer experience.
The key idea behind this upgrade has been ease of development with more focus on analytics - simplifying reporting with new and better visualizations including statistical analysis.
More info: https://www.polestarllp.com/qlik-sense-feb-2021-release
It is essential to understand the potential of this fourth industrial revolution. Take a look at the four design principles in Industry 4.0 supporting organizations in identifying and implementing Industry 4.0 scenarios.
When employees at an industrial site returned to the workplace after it was closed during the COVID-19 pandemic, they noticed a few differences.
Sensors or RFID tags were used to determine whether employees were washing their hands regularly. Computer vision determined if employees were complying with mask protocol and speakers were used to warn people of protocol violations.
What’s more, this behavioral data was collected and analyzed by the organizations to influence how people behaved at work.
Such digital accelerations are among Gartner's strategic technology trends that will enable the plasticity or flexibility that resilient businesses require in the significant upheaval driven by COVID-19 and the current economic state of the world.
Follow #PolestarSolutions for more such content.
On this Wildlife Conservation Day, let's take a pledge to do our bit to save the wildlife and their habitat against the crimes & our selfish acts to restore the natural ecosystem.
#wildlife #conservation #wildlifeConservation #WildlifeConservationDay #environment #savetheplanet
Tennis has never been entirely a number-crunching game, players winning lesser points may walk away with the match. Then, there are different surfaces and so varies the players' expertise.
But it is on a slow but steady rise.
There are aspects where #DataAnalytics is helping every party involved – Players, Coaches & Audience and this has led to the institutionalization of big data and Analytics Services.
Majority of top 20 players on ATP Tour and WTA side are leveraging it to their advantage.
This guide explores the different dimensions it is adding to the sport.
𝐓𝐚𝐤𝐞 𝐚 𝐭𝐨𝐮𝐫: 𝐎𝐮𝐫 𝐥𝐚𝐭𝐞𝐬𝐭 𝐁𝐥𝐨𝐠 𝐢𝐬 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐧𝐨𝐰👉 The Powerful Landscape of Natural Language Processing.
Click: https://bit.ly/2UUeftt
NLP has changed the way we interact with machine and computers. 𝐖𝐡𝐚𝐭 𝐬𝐭𝐚𝐫𝐭𝐞𝐝 𝐚𝐬 𝐜𝐨𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐞𝐝, 𝐡𝐚𝐧𝐝𝐰𝐫𝐢𝐭𝐭𝐞𝐧 𝐟𝐨𝐫𝐦𝐮𝐥𝐚𝐬 is now a streamlined set of algorithms powered by AI.
𝐍𝐋𝐏 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 will be the underlying force for transformation from data driven to intelligence driven endeavors, as they shape and improve communication technology in the years to come.
Polestar we hope to bring the power of data to organizations across industries helping them analyze billions of data points and data sets to provide real-time insights, and enabling them to make critical decisions to grow their business.
8 ways pharmaceutical companies ensure success with analytics. Polestar can help you to implement the right use cases in order to set-up the success with analytics. Our experts understand the typical problems faced by pharma companies and have deployed suitable analytics systems that help you derive impact from your data. Feel free to leave a comment below, we will get in touch soon.
Check this out Our latest Blog✔ "Building Smart Factories with IIoT and Analytics."
Manufacturing giants across the world have shifted their focus from a pure-play product focus to building software capabilities. Organizations are investing handsomely into electronics subsystems that are autonomous and are smart in ways that were beyond comprehension just a decade back.
They are employing the help of solutionarchitects,datascientists and user experience professionals to gather all the data in one place to mine, analyse & build a solution around it. The larger is the data set, higher is the possibility to innovate and to deliver a differentiating end-user experience.
Link: https://polestarllp.com/Building-Smart-Factories-with-IoT-and-Analytics-3-Best-Examples-of-IIoT-in-Action.php
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
2. Globally, it is expected that the population of “megacities”, or cities
that house more than 10 mn people, will increase from 33 in 2018 to
43 in 2030. And, by 2030, it is projected that cities with at least 1 mn
inhabitants will house 28% of the 10 bn plus global population.
With the rise in global population, it has become imperative for
governments to design a sustainable and environmentally-friendly future,
to ensure the well-being of the people and curtail global warming.
“ “
3. IoT Data Analytics: The Key To Designing
Environmentally Sustainable Smart Cities
Analytics and Internet of Things are emerging as a pivotal
technology that can help governments reach success milestones.
The technology uses data gathered via sensors, actuators, smart-
phones and smart applications, which is then collected and analyzed.
Cost-effective and accessible technologies using analytics from connected
devices are helping the cities monitor in real-time, implement evidence-
based actions and track their progress.
01
02
03
4. Smart and environmentally
friendly cities will create a
large-scale positive impact on
the health of our entire planet.
Below are crucial areas where IoT
solutions and data analytics
technologies are helping the cities
reduce their environmental footprint
and the collective impact of their
prospering communities.
5. 1. Waste Management
Data-driven waste management is helping
municipalities across the globe reduce their
OPEX, save costs, improve citizen’s health and
become environmentally responsible.
Cutting-edge technologies such as sensors
fitted into sewer pipes, IoT enabled smart
garbage systems, preventive maintenance,
machine to machine connectivity and route
optimization are promising to transform the
entire process of waste collection to become
more efficient.
6. 2. Reducing Plastic Consumption
Governments are using tracking technology
through RFID tags, and collecting important
data points such as per capita waste
generation rates, disposal rates, greenhouse
gas emissions savings, diversion and recycling
rates, participation rates. The technology is
helping them to design and implement better
solid waste management strategies.
7. 3. Smarter resource usage
By using sensor data and deploying machine
learning models, smart grid networks can
predict demand and behaviour patterns to
match the supply-demand. Smart resource
management is ensuring that there is no
resource shortage/ overshoot with applications
in smart energy metering, smart utility
management, traffic control, public transport
management, and building management.
8. 4. Less carbon dioxide and
methane emissions
Activists around the world are
collaborating to design and develop
open-source hardware and software
design for pollution monitoring with low
cost, accessible and remote monitoring
solutions. One of the difficulties with
pollution crackdown has been a lack of
data. Low-cost sensors are going to
change that giving the power of real-time
pollution monitoring at multiple locations.
9. 5. Land Use management
Geospatial analytics and surveillance
technology are helping city planners better
allocate the city land use and increase the
green cover. Smart applications, spatial
big data and analytics are helping in
bottom-up land use planning. Data
analytics is helping governments set up
infrastructure close-by and enable easy
access to citizens. Low-cost surveillance,
integrated strategies and big data
analytics are helping them to understand
and actively monitor socio-environmental
system behaviour.
10. 6. Renewable energy
Analytics is helping governments integrate
renewable energy usage into their traditional
energy usage. Data is also helping to increase the
efficiency of public transport and carpool. IoT is
helping renewable energy companies bring
efficiency into their processes and reduce costs,
by remote monitoring.
11. IoT For Smart Sustainable Cities of The Future
Smart cities are going to be the future of human civilization, and
it is essential to combine technology and intelligent planning to
create a people-friendly city.
The need is a flexible, scalable, secure and governed platform
that will provide the decision-makers with a unified platform to
track, analyze and manage smart devices.
www.polestarllp.com