The document discusses the Metropolitan Transportation Authority's efforts to implement an enterprise asset management system. It notes that the MTA operates one of the largest transportation systems in the world, with nearly $1 trillion in physical assets. The goals of the asset management system are to create an effective management framework to support informed decision making regarding operational and capital needs for maintaining infrastructure assets. It also aims to justify funding requirements through effective long term planning over the asset lifecycle. The document outlines the key components of the MTA's asset management system, including asset information management, performance reporting, and alignment of agency strategies and objectives.
Transit Asset Management BART - MTA NYC Transit Peer to Peer ExchangeMichael Salvato
- This document summarizes a peer exchange webinar between BART and MTA NYC Transit on their transit asset management programs.
- Both agencies are undertaking asset management improvement programs to optimize decisions and reduce lifecycle costs while maintaining safety, reliability and performance with limited resources.
- BART has implemented an asset management program while MTA is in the planning stages. The webinar discussed their experiences and challenges in developing holistic asset management strategies and processes.
- Implementing asset management requires transforming from functional-focused to integrated approaches across the organization using strategies, processes, information systems and governance.
A systems approach to infrastructure lifecycle management 20190922Michael Salvato
The convergence of digital technologies and physical assets has given rise to the potential to fundamentally change the face of infrastructure asset management in this new age of ‘smart cities’. This presentation explores innovations that will change asset management practice but warns that unless infrastructure professionals engage fully, they could find themselves on the sidelines.
The document introduces the MTA's Enterprise Asset Management System which provides a common framework to manage transportation assets across MTA agencies. It describes the three layers of the system: 1) The MTA Framework defines how agencies work together as an enterprise; 2) The MTA Asset Management Framework defines how agencies develop and justify investment plans; 3) The MTA Capabilities Model defines day-to-day operations. The system aims to improve decision making, justify funding needs, and ensure a state of good repair for over $100 billion in assets.
Asset Management Improvement Program: The Case for EAM AT NYC Transit Michael Salvato
This document discusses NYC Transit's case for implementing an Enterprise Asset Management (EAM) system. It notes that NYC Transit is the largest public transportation agency in North America, operating 24/7 with 7 million daily riders. It seeks to institute world-class asset management practices and information systems to increase asset productivity while lowering costs. The vision is to connect operational and capital investment decisions using coordinated processes and information systems to optimize asset management and improve operations. Key success factors for implementing EAM include having a full enterprise solution, leadership-driven governance, and an integrated roadmap to realize value.
This document provides a summary of the MTA's strategic asset management plan. The plan outlines five integrated strategies to help the MTA achieve asset management excellence by 2020: 1) aligning strategic direction and decision making, 2) improving network and asset planning and performance, 3) enhancing asset maintenance, reliability and project delivery, 4) developing better asset information strategies and systems, and 5) strengthening asset management capabilities and culture. The plan establishes goals and performance metrics to guide asset management decisions across the MTA's agencies over multiple planning horizons. The goal is to implement ISO 55001-compliant practices to optimize asset value and performance through improved planning, decision making, and risk management.
This document discusses unifying IT asset and configuration management. It outlines the challenges of managing assets throughout their lifecycle and keeping configuration management in sync. By clarifying the differences between asset, configuration and change management processes, as well as the data used, organizations can improve coordination. The document recommends tools from CA that support each process and can be integrated to provide a unified view of assets, configurations and changes. This achieves interoperability and allows the processes to work together effectively.
Microsoft Dynamics AX for Government Brochure FY15_finalDeneys Minne
The document discusses Microsoft Dynamics AX, an enterprise resource planning (ERP) solution designed specifically for governments. It describes how the software can help governments modernize their workplaces, operate transparently, meet compliance requirements, and lower costs. Key features include role-based user interfaces, financial management, budget planning and control, project management, compliance capabilities, procurement tools, human capital management, reporting and business intelligence tools. The document argues that Microsoft Dynamics AX can help governments increase productivity, create more value for citizens, and better manage costs.
A consolidated data center has been an attractive alternative for CIOs to protect the IT investment as many of them have realized that centralized infrastructure and processes help optimize the shared resources and in turn bring greater ROI from their IT investments. This whitepaper explains the various benefits of data center consolidation and how CIOs can work collaboratively with service providers to build an outcome based IT framework that can deliver cost efficiencies, savings and innovation in an organization.
Transit Asset Management BART - MTA NYC Transit Peer to Peer ExchangeMichael Salvato
- This document summarizes a peer exchange webinar between BART and MTA NYC Transit on their transit asset management programs.
- Both agencies are undertaking asset management improvement programs to optimize decisions and reduce lifecycle costs while maintaining safety, reliability and performance with limited resources.
- BART has implemented an asset management program while MTA is in the planning stages. The webinar discussed their experiences and challenges in developing holistic asset management strategies and processes.
- Implementing asset management requires transforming from functional-focused to integrated approaches across the organization using strategies, processes, information systems and governance.
A systems approach to infrastructure lifecycle management 20190922Michael Salvato
The convergence of digital technologies and physical assets has given rise to the potential to fundamentally change the face of infrastructure asset management in this new age of ‘smart cities’. This presentation explores innovations that will change asset management practice but warns that unless infrastructure professionals engage fully, they could find themselves on the sidelines.
The document introduces the MTA's Enterprise Asset Management System which provides a common framework to manage transportation assets across MTA agencies. It describes the three layers of the system: 1) The MTA Framework defines how agencies work together as an enterprise; 2) The MTA Asset Management Framework defines how agencies develop and justify investment plans; 3) The MTA Capabilities Model defines day-to-day operations. The system aims to improve decision making, justify funding needs, and ensure a state of good repair for over $100 billion in assets.
Asset Management Improvement Program: The Case for EAM AT NYC Transit Michael Salvato
This document discusses NYC Transit's case for implementing an Enterprise Asset Management (EAM) system. It notes that NYC Transit is the largest public transportation agency in North America, operating 24/7 with 7 million daily riders. It seeks to institute world-class asset management practices and information systems to increase asset productivity while lowering costs. The vision is to connect operational and capital investment decisions using coordinated processes and information systems to optimize asset management and improve operations. Key success factors for implementing EAM include having a full enterprise solution, leadership-driven governance, and an integrated roadmap to realize value.
This document provides a summary of the MTA's strategic asset management plan. The plan outlines five integrated strategies to help the MTA achieve asset management excellence by 2020: 1) aligning strategic direction and decision making, 2) improving network and asset planning and performance, 3) enhancing asset maintenance, reliability and project delivery, 4) developing better asset information strategies and systems, and 5) strengthening asset management capabilities and culture. The plan establishes goals and performance metrics to guide asset management decisions across the MTA's agencies over multiple planning horizons. The goal is to implement ISO 55001-compliant practices to optimize asset value and performance through improved planning, decision making, and risk management.
This document discusses unifying IT asset and configuration management. It outlines the challenges of managing assets throughout their lifecycle and keeping configuration management in sync. By clarifying the differences between asset, configuration and change management processes, as well as the data used, organizations can improve coordination. The document recommends tools from CA that support each process and can be integrated to provide a unified view of assets, configurations and changes. This achieves interoperability and allows the processes to work together effectively.
Microsoft Dynamics AX for Government Brochure FY15_finalDeneys Minne
The document discusses Microsoft Dynamics AX, an enterprise resource planning (ERP) solution designed specifically for governments. It describes how the software can help governments modernize their workplaces, operate transparently, meet compliance requirements, and lower costs. Key features include role-based user interfaces, financial management, budget planning and control, project management, compliance capabilities, procurement tools, human capital management, reporting and business intelligence tools. The document argues that Microsoft Dynamics AX can help governments increase productivity, create more value for citizens, and better manage costs.
A consolidated data center has been an attractive alternative for CIOs to protect the IT investment as many of them have realized that centralized infrastructure and processes help optimize the shared resources and in turn bring greater ROI from their IT investments. This whitepaper explains the various benefits of data center consolidation and how CIOs can work collaboratively with service providers to build an outcome based IT framework that can deliver cost efficiencies, savings and innovation in an organization.
Modern IT Service Management Transformation - ITIL IndonesiaEryk Budi Pratama
Presented at Online ITIL Indonesia Webinar #5.
Content:
> Setting up the context
> Understanding holistic IT Management point of view
> IT Service Management Transformation
> Key Performance Indicator (KPI)
> IT Service Catalogue
> IT Sourcing
> Agile Incident Management
BCBS 239 outlines 14 principles for financial institutions to improve their risk management practices in response to deficiencies identified during the 2008 financial crisis. The principles address governance, risk data aggregation capabilities, risk reporting practices, and supervisory review. Implementing BCBS 239 is costly for institutions but aims to provide benefits like improved data governance, increased management confidence in risk analysis and reporting, and more intelligent risk management reports. Compliance is now mandatory and ongoing as regulators assess institutions annually to ensure continued adherence to the principles and support effective risk management.
1) PWGSC's IT Services Branch provides $460M in annual IT services to government departments and has implemented a shared services model called IT Shared Services (ITSS) to improve service delivery and efficiency.
2) ITSS aims to provide a portfolio of standardized and interoperable IT products and services to government clients in areas such as security, data centers, networking and desktop services.
3) ITSS is taking a phased, client-centric approach to service implementation and is focused on governance, transparency, and continuous improvement to become a valued partner to government departments.
This document summarizes a white paper on shared services in the public sector. The key points are:
1. While shared services offer benefits like lower costs, improved expertise, and focus on core business, large implementations in the public sector have often faced problems like cost overruns, delays, and doubts about achieving promised savings.
2. This is likely due to behavioral factors like optimism bias among proponents and fear of loss of control among individual agencies not being adequately considered. Future initiatives need to explicitly account for these behavioral issues.
3. A case study of the ACT Government's shared services arrangement, which is widely seen as successful, found that political support, articulated agency benefits, and tailored services helped encourage
This document provides an overview of IT service management (ITSM) and describes approaches to auditing ITSM. ITSM is a process-based framework for delivering quality IT services and managing the relationship between IT service providers and their customers. Core components of ITSM include service level management, change management, incident management, and problem management. The document concludes by listing some key areas that can be audited in ITSM, including service level management, IT financial management, and information security management.
Indian CST's GPMS Products Portfolio 2015Raja Seevan
This document provides an overview of products and services offered by Indian CST, including their Global Project Management System (GPMS). GPMS is a cloud-based project management tool that aims to increase efficiency, transparency, and accountability in government projects. It uses best practices and crowd-sourcing to analyze information and transform it into actionable intelligence. Key features include metrics tracking to monitor goals over time, gap analysis between current and desired states, and strategies to address challenges commonly seen in construction projects. The system aims to improve documentation, reduce risks, support decision making, and ensure quality.
Devolution in e governance in perspective of different architecturesMuhammad Farooq
This document discusses devolution in e-governance from the perspective of different architectures, frameworks, and models. It defines types of devolution including political, fiscal, administrative, and e-governance. The research question asks how to define and frame devolution in centralized e-governance with respect to traditional forms of devolution. Theories on decentralization and enterprise architectures are discussed to support analyzing e-governance devolution. A proposed methodology involves assessing existing frameworks for explaining e-governance devolution and modifying them if needed.
The document discusses smart infrastructure and its potential benefits. It defines smart infrastructure as embedding sensing technologies in infrastructure assets to allow real-time data collection, analysis, and delivery of information to help optimize maintenance and operations. When infrastructure is able to respond to user needs in real-time, this leads to condition-based maintenance and reduced downtime. Bringing together bottom-up systems with top-down services and a data-centric approach creates a "system of systems" enabled by standards to ensure interoperability. The pillars or building blocks of smart infrastructure lifecycle management include improved productivity, information management that creates value, and an overall system to manage interconnected systems.
Data Driven Communities in the United Statesaccenture
Cities use analytics in many ways, and one size does not fit all. What have we learned from the first movers? Being data driven requires a cultural shift.
Black & Veatch Smart Integrated InfrastructureBlack & Veatch
Our business, utility and city environments today are complicated by fluctuating markets, aging infrastructure, shrinking budgets and competing priorities. At the same time, a data revolution is underway. The Internet of Everything is expanding our connectivity to data, people, processes and things. This revolution is a red carpet for transformative technologies that use data to redefine standard operations and cultivate new system-wide intelligence at utilities and along roadways, in cities and beyond. Take a look at these Black & Veatch Smart Integrated Infrastructure solutions and projects that are helping build a cleaner, more efficient world.
Taking full advantage of data-driven efficiency makes your operations more precise, predictable and efficient.
Take control of your resources and inventory. Let big data work for you.
This document discusses the need for improved asset management at the MTA through better data definition and information systems. It outlines how the MTA's assets are aging and require significant capital funding to maintain, and how improved data and asset management systems can help optimize investments, improve performance and risk management, and reduce lifecycle costs. The document proposes establishing common asset data definitions, registries, and an enterprise asset management system to integrate asset information across departments and agencies for improved planning, maintenance, and decision making.
This document discusses using big data analytics for smart cities. It defines smart cities and big data, and explains how large amounts of data are generated from various sources. The document outlines some benefits of smart cities, such as efficient resource utilization and improved quality of life. It also discusses challenges of using big data for smart cities, like data quality issues and privacy/security concerns. Several real-world examples are provided, such as using big data for smart traffic lights and smart grids. Key requirements for implementing big data applications for smart cities are also covered, such as the need for advanced algorithms and data standards.
How Data-Driven Approaches are Changing Your Data Management Strategies
Introducing data-driven strategies into your business model alters the way your organization manages and provides information to your customers, partners and employees. Gone are the days of “waterfall” implementation strategies from relational data to applications within a data center. Now, data-driven business models require agile implementation of applications based on information from all across an organization–on-premises, cloud, and mobile–and includes information from outside corporate walls from partners, third-party vendors, and customers. Data management strategies need to be ready to meet these challenges or your new and disruptive business models will fail at the most critical time: when your customers want to access it.
The Global Interconnection Index - Measuring Growth of the Digital EconomyEquinix
Digital is transforming all industries and becoming the growth engine of the global economy. To scale, the building blocks of the digital economy require Interconnection. Interconnection is at the center of today’s key macro trends, including digital trade, urbanization and cybersecurity. Until now, Interconnection, the private exchange of data between companies, has never been quantified or analyzed. By 2020, the Global Interconnection Index predicts Interconnection Bandwidth will outpace the growth of internet traffic by 2X and 6X the volume…and is expected to experience compounding growth year-over-year in all regions, industries and use cases. Download the Global Interconnection Index today - http://eqix.it/SSIndex17
Asset information and data management smart railJames Nesbitt
The convergence of technology and infrastructure has the ability to transform our communities and economy, reduce emissions as well provide an opportunity for business leaders to optimise asset performance and reduce cost.
Asset information and data management will allow more precise decisions to be made to balance cost, risk and performance, supporting operational effectiveness and efficiency.
We will be addressing how the European rail sector are developing and implementing asset information strategies, managing data across multiple disparate systems and leveraging new technologies to succeed.
Data Driven Communities in Singapore: The Power and Potential of Analyticsaccenture
Cities use analytics in many ways, and one size does not fit all. What have we learned from the first movers? Being data driven requires a cultural shift.
This document discusses smart integrated infrastructure and smart cities. It begins by introducing Black & Veatch as a global leader in engineering with a focus on critical human infrastructure. It then discusses smart integrated infrastructure, which combines physical infrastructure, communications, and data analytics. This allows infrastructure systems to work together synergistically. The document outlines elements of smart cities including infrastructure, data systems, and enabling technologies. It also provides examples of smart city applications and discusses how smart city initiatives could be financed.
Success of Digital Transformation depends on continuous service deployment and assurance at the speed of business. Today’s leading businesses are increasing their market share by accelerating the speed of their service deployment pipeline. Learn more: http://www.netscout.link/60098X9qb
Modern IT Service Management Transformation - ITIL IndonesiaEryk Budi Pratama
Presented at Online ITIL Indonesia Webinar #5.
Content:
> Setting up the context
> Understanding holistic IT Management point of view
> IT Service Management Transformation
> Key Performance Indicator (KPI)
> IT Service Catalogue
> IT Sourcing
> Agile Incident Management
BCBS 239 outlines 14 principles for financial institutions to improve their risk management practices in response to deficiencies identified during the 2008 financial crisis. The principles address governance, risk data aggregation capabilities, risk reporting practices, and supervisory review. Implementing BCBS 239 is costly for institutions but aims to provide benefits like improved data governance, increased management confidence in risk analysis and reporting, and more intelligent risk management reports. Compliance is now mandatory and ongoing as regulators assess institutions annually to ensure continued adherence to the principles and support effective risk management.
1) PWGSC's IT Services Branch provides $460M in annual IT services to government departments and has implemented a shared services model called IT Shared Services (ITSS) to improve service delivery and efficiency.
2) ITSS aims to provide a portfolio of standardized and interoperable IT products and services to government clients in areas such as security, data centers, networking and desktop services.
3) ITSS is taking a phased, client-centric approach to service implementation and is focused on governance, transparency, and continuous improvement to become a valued partner to government departments.
This document summarizes a white paper on shared services in the public sector. The key points are:
1. While shared services offer benefits like lower costs, improved expertise, and focus on core business, large implementations in the public sector have often faced problems like cost overruns, delays, and doubts about achieving promised savings.
2. This is likely due to behavioral factors like optimism bias among proponents and fear of loss of control among individual agencies not being adequately considered. Future initiatives need to explicitly account for these behavioral issues.
3. A case study of the ACT Government's shared services arrangement, which is widely seen as successful, found that political support, articulated agency benefits, and tailored services helped encourage
This document provides an overview of IT service management (ITSM) and describes approaches to auditing ITSM. ITSM is a process-based framework for delivering quality IT services and managing the relationship between IT service providers and their customers. Core components of ITSM include service level management, change management, incident management, and problem management. The document concludes by listing some key areas that can be audited in ITSM, including service level management, IT financial management, and information security management.
Indian CST's GPMS Products Portfolio 2015Raja Seevan
This document provides an overview of products and services offered by Indian CST, including their Global Project Management System (GPMS). GPMS is a cloud-based project management tool that aims to increase efficiency, transparency, and accountability in government projects. It uses best practices and crowd-sourcing to analyze information and transform it into actionable intelligence. Key features include metrics tracking to monitor goals over time, gap analysis between current and desired states, and strategies to address challenges commonly seen in construction projects. The system aims to improve documentation, reduce risks, support decision making, and ensure quality.
Devolution in e governance in perspective of different architecturesMuhammad Farooq
This document discusses devolution in e-governance from the perspective of different architectures, frameworks, and models. It defines types of devolution including political, fiscal, administrative, and e-governance. The research question asks how to define and frame devolution in centralized e-governance with respect to traditional forms of devolution. Theories on decentralization and enterprise architectures are discussed to support analyzing e-governance devolution. A proposed methodology involves assessing existing frameworks for explaining e-governance devolution and modifying them if needed.
The document discusses smart infrastructure and its potential benefits. It defines smart infrastructure as embedding sensing technologies in infrastructure assets to allow real-time data collection, analysis, and delivery of information to help optimize maintenance and operations. When infrastructure is able to respond to user needs in real-time, this leads to condition-based maintenance and reduced downtime. Bringing together bottom-up systems with top-down services and a data-centric approach creates a "system of systems" enabled by standards to ensure interoperability. The pillars or building blocks of smart infrastructure lifecycle management include improved productivity, information management that creates value, and an overall system to manage interconnected systems.
Data Driven Communities in the United Statesaccenture
Cities use analytics in many ways, and one size does not fit all. What have we learned from the first movers? Being data driven requires a cultural shift.
Black & Veatch Smart Integrated InfrastructureBlack & Veatch
Our business, utility and city environments today are complicated by fluctuating markets, aging infrastructure, shrinking budgets and competing priorities. At the same time, a data revolution is underway. The Internet of Everything is expanding our connectivity to data, people, processes and things. This revolution is a red carpet for transformative technologies that use data to redefine standard operations and cultivate new system-wide intelligence at utilities and along roadways, in cities and beyond. Take a look at these Black & Veatch Smart Integrated Infrastructure solutions and projects that are helping build a cleaner, more efficient world.
Taking full advantage of data-driven efficiency makes your operations more precise, predictable and efficient.
Take control of your resources and inventory. Let big data work for you.
This document discusses the need for improved asset management at the MTA through better data definition and information systems. It outlines how the MTA's assets are aging and require significant capital funding to maintain, and how improved data and asset management systems can help optimize investments, improve performance and risk management, and reduce lifecycle costs. The document proposes establishing common asset data definitions, registries, and an enterprise asset management system to integrate asset information across departments and agencies for improved planning, maintenance, and decision making.
This document discusses using big data analytics for smart cities. It defines smart cities and big data, and explains how large amounts of data are generated from various sources. The document outlines some benefits of smart cities, such as efficient resource utilization and improved quality of life. It also discusses challenges of using big data for smart cities, like data quality issues and privacy/security concerns. Several real-world examples are provided, such as using big data for smart traffic lights and smart grids. Key requirements for implementing big data applications for smart cities are also covered, such as the need for advanced algorithms and data standards.
How Data-Driven Approaches are Changing Your Data Management Strategies
Introducing data-driven strategies into your business model alters the way your organization manages and provides information to your customers, partners and employees. Gone are the days of “waterfall” implementation strategies from relational data to applications within a data center. Now, data-driven business models require agile implementation of applications based on information from all across an organization–on-premises, cloud, and mobile–and includes information from outside corporate walls from partners, third-party vendors, and customers. Data management strategies need to be ready to meet these challenges or your new and disruptive business models will fail at the most critical time: when your customers want to access it.
The Global Interconnection Index - Measuring Growth of the Digital EconomyEquinix
Digital is transforming all industries and becoming the growth engine of the global economy. To scale, the building blocks of the digital economy require Interconnection. Interconnection is at the center of today’s key macro trends, including digital trade, urbanization and cybersecurity. Until now, Interconnection, the private exchange of data between companies, has never been quantified or analyzed. By 2020, the Global Interconnection Index predicts Interconnection Bandwidth will outpace the growth of internet traffic by 2X and 6X the volume…and is expected to experience compounding growth year-over-year in all regions, industries and use cases. Download the Global Interconnection Index today - http://eqix.it/SSIndex17
Asset information and data management smart railJames Nesbitt
The convergence of technology and infrastructure has the ability to transform our communities and economy, reduce emissions as well provide an opportunity for business leaders to optimise asset performance and reduce cost.
Asset information and data management will allow more precise decisions to be made to balance cost, risk and performance, supporting operational effectiveness and efficiency.
We will be addressing how the European rail sector are developing and implementing asset information strategies, managing data across multiple disparate systems and leveraging new technologies to succeed.
Data Driven Communities in Singapore: The Power and Potential of Analyticsaccenture
Cities use analytics in many ways, and one size does not fit all. What have we learned from the first movers? Being data driven requires a cultural shift.
This document discusses smart integrated infrastructure and smart cities. It begins by introducing Black & Veatch as a global leader in engineering with a focus on critical human infrastructure. It then discusses smart integrated infrastructure, which combines physical infrastructure, communications, and data analytics. This allows infrastructure systems to work together synergistically. The document outlines elements of smart cities including infrastructure, data systems, and enabling technologies. It also provides examples of smart city applications and discusses how smart city initiatives could be financed.
Success of Digital Transformation depends on continuous service deployment and assurance at the speed of business. Today’s leading businesses are increasing their market share by accelerating the speed of their service deployment pipeline. Learn more: http://www.netscout.link/60098X9qb
Local Authoirity Customer Story: Mid Kent Improvement PartnershipConnexica
1) Mid Kent Services (MKS), a partnership between three local councils, needed business intelligence software to analyze large volumes of data from 410,000 residents and identify ways to cut costs and improve efficiency.
2) MKS implemented Connexica's CXAIR software, which could draw from multiple data sources and allow effective cross-referencing across the partnership. This helped identify residents still using expensive payment methods and automate more transactions.
3) CXAIR validated data to address inconsistencies and ensure high quality. It also provided intuitive reports to help non-technical staff understand and act on insights without needing analysts' help. This democratized access to the data's benefits while keeping sensitive information secure.
This document contains the resume of Christina Louise Marie Watts. It summarizes her professional experience including roles providing technical support, database development, data analysis, and cybersecurity support to various government agencies. It also lists her security clearances, skills, accomplishments, and education.
Microservices Approaches for Continuous Data IntegrationVMware Tanzu
How can businesses modernize their existing data integration flows? How can they connect a rapidly evolving number of data services? How can they capture, process, and generate new event streams? How can they leverage advances in Machine Learning to enhance real time interactions with their customers?
Join Matt Aslett, Research Director at 451 Research, and Jürgen Leschner from Pivotal for an interactive discussion about continuous data integration applications, trends, and architectures.
In this webinar you will learn:
- How traditional data integration approaches like batch ETL can be improved
- Why microservices support continuous data integration in a scalable way
- How to incorporate DevOps practices in your data integration teams
- What benefits microservices and DevOps practices bring to data integration
Presenters: Jurgen Leschner, Pivotal and Matt Aslett, Research Director, 451 Research
Streamlining the Future: Exploring Data Flow ArchitectureStarTech21
Data flow architecture is a design approach that focuses on the movement and transformation of data within a system or application. It encompasses the entire lifecycle of data, from its source to storage, processing, and delivery. By optimizing data flow, organizations can enhance performance, scalability, reliability, and security, leading to insightful decision-making and improved operational efficiency.
What Customers Are Saying About Information Buildersibi
Information Builders customers praise the company's expertise, resources, and solutions. The Michigan State Police rely on Information Builders for advice, technical support, and project management. AAA Ohio found Information Builders' WebFOCUS to be the best analytics solution for their needs due to its broad functionality and cost-effective licensing. Information Builders provides a well-integrated solution that empowers customers to answer questions with high volumes of data, according to Sparta Systems.
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Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
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Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
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Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Smart Infrastructure Asset Management 2017
1. Metropolitan Transportation Authority
Smart Infrastructure Asset Management
December 11, 2017
Michael Salvato, Director and Program Executive
Enterprise Information and Asset Management
Email: MISalvato@MTAHQ.org
Phone: (646) 252-6859
2. Printed12/29/20173:41PM
• The ASCE 2017 Report Card found the national grade for
infrastructure remains at a “D+”
• $4.6tn will be needed by 2025 to bring US infrastructure
to an acceptable standard
• Construction productivity has been flat for decades,
according to McKinsey research.
• Essential infrastructure systems such as water, energy
supply, and transportation will increasingly be
compromised by interrelated climate change impacts.
December 11, 2017 Smart Infrastructure Asset Management 2
Houston, we have a problem
https://www.infrastructurereportcard.org/wp-content/uploads/2016/10/2017-Infrastructure-Report-Card.pdf
https://www.mckinsey.com/industries/capital-projects-and-infrastructure/our-insights/the-construction-productivity-imperative
http://nca2014.globalchange.gov/highlights/report-findings/infrastructure
https://www.cg-la.com/documents/B2025Report_2.0.pdf
• We need a guiding vision, one that
is courageous enough to re-invent
the infrastructure industry
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• McKinsey’s research has shown that emerging technologies
could boost productivity by 25-30%.
• So far the UK BIM Level 2 program has managed to deliver
cost reductions in the region of 20%
Smart Infrastructure Asset Management is key
to realizing the best value for money per whole life cost
December 11, 2017 Smart Infrastructure Asset Management 3
https://spectrum.ieee.org/transportation/mass-transit/londons-crossrail-is-a-21-billion-test-of-virtual-modeling
https://www.weforum.org/agenda/2016/06/the-world-has-an-800bn-annual-infrastructure-gap-heres-how-to-close-it
https://www.thenbs.com/knowledge/four-things-mark-bew-told-us-about-the-future-of-bim-and-digital-construction
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Image: https://www.moxa.com/Solutions/Railway/Solution/Overview.htm
Ogie R., Perez P., and Dignum V., Smart infrastructure: an emerging frontier for multidisciplinary research.
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction 2017 170:1, 8-16
The marriage of digital technologies and physical infrastructure
has given rise to SMART INFRASTRUCTURE
December 11, 2017 Smart Infrastructure Asset Management 4
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A wide variety of sensing, information and communications
technologies are being embedded into our infrastructure
assets at an increasing rate.
5December 11, 2017 Smart Infrastructure Asset Management
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There no one definition, but this one by Cambridge Centre for Smart Infrastructure and Construction
covers the essence of smart infrastructure.
In a world where infrastructure is truly smart, sensing technologies are embedded in
infrastructure and the equipment it interacts with. These sensors are connected to a communication
backbone which allows real-time data acquisition and analysis. The information
gathered is analyzed, interpreted and delivered as reliable, robust and meaningful information to
infrastructure providers, who can then make better-informed decisions about the structural health and
maintenance of their assets.
In a sensing environment, infrastructure is able to respond in real time to users’ needs. Self-aware
infrastructure assets direct their own maintenance, leading to condition-based
maintenance, reduced down time and greater operational efficiency of the infrastructure overall.
Better information leads to an enhanced understanding of the behavior of infrastructure. The impact of
this will lead to transformations in the approaches to design and construction as well as
step changes in improved health and productivity, greater efficiency in design and performance, a low-
carbon society and sustainable urban planning and management.
https://www-smartinfrastructure.eng.cam.ac.uk/
December 11, 2017 6Smart Infrastructure Asset Management
What is Smart Infrastructure?
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Project 13 - Transactions to Enterprises
A new approach to delivering high performing infrastructure
At the heart of smart infrastructure is a
digital asset management systems
driving better outcomes per whole life cost.
Asset Management
System
Information Management System
December 11, 2017 Smart Infrastructure Asset Management 7
Courtesy: Mark Enzer, Chief Technical Officer, Mott MacDonald
https://www.ice.org.uk/knowledge-and-resources/best-practice/project-13-from-transactions-to-enterprises
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December 11, 2017 Smart Infrastructure Asset Management 8
Reframing Our
Problems
“In order to change an existing
paradigm you do not struggle to
try and change the problematic
model. You create a new model
and make the old one obsolete.”
― R. Buckminster Fuller
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The MTA operates one of the largest transportation systems in the world.
Our physical assets are valued at nearly $1,000,000,000,000
The MTA owns and operates 6,300 subway cars and 2,400
commuter rail cars. This is greater than all other US metro
rail and commuter railroads combined. The MTA’s 5,600 city
buses comprise America's largest bus fleet.
December 11, 2017 Smart Infrastructure Asset Management 10
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The mandate for the MTA Enterprise Asset Management Program is to create
a management system for evidence-based planning and decisions for a critical
infrastructure system with $1 trillion in physical assets
December 11, 2017 Smart Infrastructure Asset Management 11
“The goal of Enterprise Asset Management is to create an effective
management system that supports informed decision making for
operational and capital needs relative to how we manage and maintain all
of our infrastructure assets.”
"There's a direct connection between safer service and better asset
management, and nothing is more important than the safety and security
of our customers. Nothing.”
“As we come under increased pressure from funders and other stakeholders,
we must become more effective at planning and delivering our projects
and services over the whole asset lifecycle. Unless we can fully justify
our funding requirements, we put our entire mission of providing world-class
transportation services for the New York metropolitan region at risk.”
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• Defines the organizational aim
• States the high-level objectives for asset
management
• Lays out the overall approach to asset
management
• Make the “rules of the game” for decision
making clear
• Anchors consistency for Asset
Management Strategy, Objectives and
Asset Management Plans
• Forms the basis of the performance
management framework
December 11, 2017 Smart Infrastructure Asset Management 12
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The MTA Asset
Management
System
describes how the
MTA and its
agencies develop,
fund and plan to
deliver required
outcomes
Scope of Agency AMS
Performance
Reporting
Agency Data,
IT Systems
& Support
Services
Agency Vision, Objectives &
Decision Criteria
Demand Analysis
& Agency Strategy
Asset Management
Objectives
Asset Strategies & Plans
Operations & Delivery
Assets
REQUIREMENTS SLA’s
MTA People, Capability & Communities of Practice
MTAIdentity,Culture&ChangeManagement
StakeholderCommunication&Reporting
Changing Business Context
External
Stakeholders
Legislation /
Regulation
Funding
Environment &
Population Change
Frameworks
Safety &
Security
Asset
Management
Investment
Performance
Risk
Governance
Information
Competency
Shared
Services
Human
Resources
Procurement
Enterprise
Technology
Finance
Legal
Operating
Agencies
MTA Objectives & Decision-criteria
COMPLIANCE REQUIREMENTS
APPROVAL
FUNDING CYCLE
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December 11, 2017 Smart Infrastructure Asset Management
The MTA Enterprise Business Architecture provides a process
perspective and integrates dimensions like organizational units, applications,
KPIs/metrics, or risk using the modeling platform ARIS
14
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This provides necessary visibility, structure and integration of requirements to drive functional, process
improvement and integration design, inside and outside of the EAM Information System footprint
Process maps are being developed for all key functions down to work flows
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INPUTS
$14Bn / $6Bn
External Challenges
The MTA Delivery
Model ensures a
clear line of sight
between the MTA
objectives,
planning, work
execution and
business outcomes
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Current State
of Assets
Performance
Requirements
Asset Portfolio
Summary
Optimised Plan - Resources, $, Outputs
Decision
Processes
Information
Quality
Asset Class Strategy
Summaries
Agency Alignment, Strategy &
Objectives
Delivery Strategy
Monitoring &
Continuous
Improvement
Enabling
Strategies
MTA Objectives & EAM
Policy
December 11, 2017 Smart Infrastructure Asset Management 17
AM Planning/
System Manual
MTA Asset Management Plan
The MTA Asset
Management System
support FTA compliant
Asset Management
Plans
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Quality asset information is required to support decisions and provide
justification of funding that underpin effective asset management planning
December 11, 2017 Smart Infrastructure Asset Management 18
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Our Vision for asset information is to ‘to get the
right information, to the right people, at the right
time, via the right technology'
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The MTA approach to asset information management is to create
a “single source of truth” through the asset lifecycle accessible via multiple
technology platforms
(Single Source of Truth)
December 11, 2017 Smart Infrastructure Asset Management 20
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Asset Lifecycle Information Management capabilities are integral
to the proper functioning of the MTA Asset Management Systems
December 11, 2017 Smart Infrastructure Asset Management 21
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To accelerate the adoption of good practices, MTA has aligned with the BIM
standards and practices articulated in PAS 1192
December 11, 2017 Smart Infrastructure Asset Management 22
http://www.ukroadsliaisongroup.org/en/guidance/bim.cfm
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Network Engineering
Configuration Management & Simulation
The systems application architecture is designed to support
integrated business decisions, monitoring and reporting.
Source: Sample architecture from RFI respondent SEAMS
December 11, 2017 Smart Infrastructure Asset Management 23
0
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Enterprise Business Systems (i.e Financial, ERP etc.)
The MTA enterprise application architecture is following
MIMOSA open standards for systems integration
Smart Infrastructure Asset Management 24
GISMobility
December 11, 2017
BI / Analytics
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The open standards allow seamless integration of Asset Lifecycle
Information Management including work management and analytics
December 11, 2017 Smart Infrastructure Asset Management
GIS
25
Automation,
Controls,
Sensors
0
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The MTA is issuing 15,000 mobile devices to frontline employees
December 11, 2017 Smart Infrastructure Asset Management 26
Joint Switch
Inspection Mobile
Application
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MTA Asset
Information
Management
MTA Asset Information Management from target operating model and process
improvements to asset information lifecycle management
December 11, 2017 Smart Infrastructure Asset Management 29
Req’s Management:
Bus>Func>Ops>Tech
MTA Enterprise
Architecture
Buses
DOS
MNR
LIRR
B&T
MTA TOM Digital
Target
Operating
Model
Process Intelligence
BPM CoE
Performance
Management and
Business Intelligence
ProjectsTraining
Alteryx Tableau
PMF
Health of the Process
Process
improvements
L4 Visio L3 ARIS
Culture of Continuous
Improvement
MTA Process Digitization
Building the MTA Enterprise Process Model
System
Integration
Bentley APM
BPM-EA Integration
Infor MTA EA
AILM Config Mgnt
PeopleSoft
ESRI GIS
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31
Pervasive sensing, information
and communication technologies
are already generating massive
amounts of information about our
infrastructure assets, systems
and cities
Smart City
Infrastructure
December 11, 2017 Smart Infrastructure Asset Management
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Invent the future
“There is only one revolution
tolerable to all men, all societies,
all political systems: revolution
by design and invention.”
– R. Buckminster Fuller
Image: http://www.eco-business.com/news/smart-cities-asias-new-frontier/
32December 11, 2017 Smart Infrastructure Asset Management