This document summarizes a presentation about using remote sensing data and analytics to guide tree management decisions for a utility company. It discusses how the company used LiDAR and imagery data to develop models predicting tree presence, height, and risk. It also describes how they assigned criticality scores to transmission lines then combined this with the tree risk predictions to create priority rankings to optimize vegetation management work. Going forward, the company plans to enhance their models with additional data and feedback from ongoing work.
The document discusses transforming vegetation management through the use of data and technology. It notes that weather events and trees are the leading causes of power outages. It then discusses how Florida Power & Light is taking a data-driven approach to vegetation management by using various sensors like fixed wings, helicopters, satellites, and smartphones to collect visual inspection data. This data is analyzed using GE Digital's Visual Intelligence platform, which uses analytics and AI to develop annual preventative work plans and drive efficiencies. The platform can also scale indefinitely and has been proven with large utilities.
Turning Aerial Imagery into Operational Information for Utility Vegetation Ma...LaurenWeyers
The document discusses Effigis Geo-Solutions' approach to using remote sensing and aerial imagery to provide operational information for utility vegetation management. It summarizes Effigis' solution of acquiring high-resolution aerial imagery, processing it using AI and spatial analytics to extract encroachment, hazard trees and other vegetation data, and integrating the results. It provides an example case study with Hydro-Sherbrooke where Effigis' approach achieved 95% accuracy for encroachment detection and 92% for hazard trees. The presentation outlines future developments to the solution including monitoring vegetation growth and post-disaster damage assessment.
This presentation covers the definition of Master Data Management, outlines 5 essential elements of MDM, and describe 10 real-world best practices for MDM and data governance and 4 advanced topic areas, based on years of experience in the field.
Enterprise Data World Webinar: How to Get Your MDM Program Up & RunningDATAVERSITY
How to get your MDM program up & running”
This session will deliver a Master Data Management primer to introduce:
Master vs Reference data
Multi vs Single domain MDM solutions
A MDM reference architecture and
MDM implementation architectures
This will be illustrated with a real world example from describing how to identify & justify the appropriate data subjects areas that are right for mastering and how to align an MDM initiative with in-flight business initiatives and make the business case.
Data Governance vs. Information GovernanceDATAVERSITY
What is the difference between Data Governance and information governance? Organizations either use these terms interchangeably — or they have a distinct, separate meaning. Either way, it is important to discuss the discipline of governance as it pertains to different types of data and information — and what the discipline is called.
Join Bob Seiner for this important RWDG webinar where he will share examples of organizations using each term, what it has meant for them, where their focuses have been, and how the terminology is evolving over time. A lot has been written about Data Governance and information governance. However, it is time to compare and contrast these disciplines and make a decision as to the right name to call it in your organization.
This webinar will focus on:
• Similarities and differences between data and information
• Definitions of data and information governance
• Examples of how organizations have selected their label
• Brief case studies of governance named both ways
• Considerations for naming your program
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Data Governance and Data Science to Improve Data QualityDATAVERSITY
Data Science uses systematic methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data Science requires high-quality data that is trusted by the organization and data scientists. Many organizations focus their Data Governance programs on improving Data Quality results. These three concepts (governance, science, and quality) seem to be made for each other.
In this RWDG webinar, Bob Seiner and his special guest will discuss how the people focusing on Data Governance and Data Science must work together to improve the level of confidence the organization has in its most critical data assets. Heavy investments are being made in Data Science but not so much for Data Governance. Bob will talk about how Data Governance and Data Science must work together to improve Data Quality.
The document discusses transforming vegetation management through the use of data and technology. It notes that weather events and trees are the leading causes of power outages. It then discusses how Florida Power & Light is taking a data-driven approach to vegetation management by using various sensors like fixed wings, helicopters, satellites, and smartphones to collect visual inspection data. This data is analyzed using GE Digital's Visual Intelligence platform, which uses analytics and AI to develop annual preventative work plans and drive efficiencies. The platform can also scale indefinitely and has been proven with large utilities.
Turning Aerial Imagery into Operational Information for Utility Vegetation Ma...LaurenWeyers
The document discusses Effigis Geo-Solutions' approach to using remote sensing and aerial imagery to provide operational information for utility vegetation management. It summarizes Effigis' solution of acquiring high-resolution aerial imagery, processing it using AI and spatial analytics to extract encroachment, hazard trees and other vegetation data, and integrating the results. It provides an example case study with Hydro-Sherbrooke where Effigis' approach achieved 95% accuracy for encroachment detection and 92% for hazard trees. The presentation outlines future developments to the solution including monitoring vegetation growth and post-disaster damage assessment.
This presentation covers the definition of Master Data Management, outlines 5 essential elements of MDM, and describe 10 real-world best practices for MDM and data governance and 4 advanced topic areas, based on years of experience in the field.
Enterprise Data World Webinar: How to Get Your MDM Program Up & RunningDATAVERSITY
How to get your MDM program up & running”
This session will deliver a Master Data Management primer to introduce:
Master vs Reference data
Multi vs Single domain MDM solutions
A MDM reference architecture and
MDM implementation architectures
This will be illustrated with a real world example from describing how to identify & justify the appropriate data subjects areas that are right for mastering and how to align an MDM initiative with in-flight business initiatives and make the business case.
Data Governance vs. Information GovernanceDATAVERSITY
What is the difference between Data Governance and information governance? Organizations either use these terms interchangeably — or they have a distinct, separate meaning. Either way, it is important to discuss the discipline of governance as it pertains to different types of data and information — and what the discipline is called.
Join Bob Seiner for this important RWDG webinar where he will share examples of organizations using each term, what it has meant for them, where their focuses have been, and how the terminology is evolving over time. A lot has been written about Data Governance and information governance. However, it is time to compare and contrast these disciplines and make a decision as to the right name to call it in your organization.
This webinar will focus on:
• Similarities and differences between data and information
• Definitions of data and information governance
• Examples of how organizations have selected their label
• Brief case studies of governance named both ways
• Considerations for naming your program
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Data Governance and Data Science to Improve Data QualityDATAVERSITY
Data Science uses systematic methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data Science requires high-quality data that is trusted by the organization and data scientists. Many organizations focus their Data Governance programs on improving Data Quality results. These three concepts (governance, science, and quality) seem to be made for each other.
In this RWDG webinar, Bob Seiner and his special guest will discuss how the people focusing on Data Governance and Data Science must work together to improve the level of confidence the organization has in its most critical data assets. Heavy investments are being made in Data Science but not so much for Data Governance. Bob will talk about how Data Governance and Data Science must work together to improve Data Quality.
How to Implement Data Governance Best PracticeDATAVERSITY
This document provides an overview of a webinar on implementing data governance best practices. It discusses defining data governance best practices and assessing an organization's current practices against those best practices. Examples of best practices from different industries are provided. The document emphasizes communicating best practices in a non-threatening way and building best practices into daily operations. Key aspects covered include criteria for determining best practices, messages to convey to management, and best practices related to creating a best practices document.
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
1) The document discusses best practices for data protection on Google Cloud, including setting data policies, governing access, classifying sensitive data, controlling access, encryption, secure collaboration, and incident response.
2) It provides examples of how to limit access to data and sensitive information, gain visibility into where sensitive data resides, encrypt data with customer-controlled keys, harden workloads, run workloads confidentially, collaborate securely with untrusted parties, and address cloud security incidents.
3) The key recommendations are to protect data at rest and in use through classification, access controls, encryption, confidential computing; securely share data through techniques like secure multi-party computation; and have an incident response plan to quickly address threats.
Risk-driven and Business-outcome-focused Enterprise Security Architecture Fra...Craig Martin
Ana Kukec, Lead Enterprise Security Consultant, Enterprise Architects, Australia
The Open Group Architecture Forum and Security Forum agree that the coverage of security in TOGAF should be updated and improved. The understanding and focus of security architecture has moved from a threat-driven approach of addressing non-normative flaws through systems and applications to a risk-driven and business outcome-focused methodology of enabling a business strategy.
Following this trend, we defined fundamental characteristics of effective security architecture. 1) Capabilities are primary assets at risk, while information systems and technology components are secondary assets at risk supporting the primary assets. 2) Security requirements include the business aspects and not only the technology aspects of confidentiality, integrity and availability. 3) IT risk management is business-opportunity-driven. It requires understanding of risk appetite across business, information systems and technology architecture to manage security risks of vulnerabilities and compliance issues, which may arise at any layer of enterprise architecture in a business-outcome-focused way. 4) Security services are aligned to business drivers, goals and objectives, and managed in a risk-driven way.
Yet, there is no single security architecture development methodology to deliver these characteristics. We believe that existing information security standards and frameworks in a combination with the TOGAF are sufficient to meet the aforementioned fundamental characteristics of effective security architecture. However the challenge is in their integration. Our Enterprise Security Architecture Framework integrates key industry standards and best practices for information security and risk management, such as COBIT 5 for Information Security, ITILv3 Security Service Management, ISO/IEC 27000 and ISO/IEC 31000 families of standards, using the TOGAF Architecture Development Method and Content Meta-model as the key integrators. It is a pragmatic security architecture framework which establishes a common language between IT, security, risk and business organisations within an enterprise and ensures effective and efficient support of long-term security needs of both business and IT, with a risk-driven enterprise as a final outcome.
We will present a case study of the implementation of the aforementioned business-outcome-focused and risk-driven Enterprise Security Architecture Framework at the University of New South Wales.
Key takeaways:
-- Overview of a risk-driven and business-outcome-focused security architecture methodology seamlessly integrated with the TOGAF
-> Security strategic planning
-> Enterprise-wide compliance, internal (policies and standards) and external (laws and regulations
-> Business-opportunity driven management of security risk of threats, vulnerabilities and compliance issues across business, information systems and technology architecture
History Of Architecture I - Lesson 4: Egyptİrfan Meriç
The architecture of ancient Egypt evolved over three main periods - the Archaic Period saw the unification of Egypt and early stone architecture, the Old Kingdom established absolute kingship and saw the construction of pyramids along the Nile, and the New Kingdom built large temples along the Nile connected by vast axes with Thebes emerging as the new capital city. Burial monuments were a core part of Egyptian architecture from early pyramid complexes like that of Zoser to later temples and mortuary structures built for pharaohs like Hatshepsut.
Do-It-Yourself (DIY) Data Governance FrameworkDATAVERSITY
A worthwhile Data Governance framework includes the core component of a successful program as viewed by the different levels of the organization. Each of the components is addressed at each of the levels, providing insight into key ideas and terminology used to attract participation across the organization. A framework plays a key role in setting up and sustaining a Data Governance program.
In this RWDG webinar, Bob Seiner will share two frameworks. The first is a basic cross-reference of components and levels, while the second can be used to compare and contrast different approaches to implementing Data Governance. When this webinar is finished, you will be able to customize the frameworks to outline the most appropriate manner for you to improve your likelihood of DG success.
In this webinar, Bob will discuss and share:
- Customizing a framework to match organizational requirements
- The core components and levels of an industry framework
- How to complete a Data Governance framework
- Using the framework to enable DG program success
- Measuring value through the DIY DG framework
This webinar from Gartner discusses key findings from their 2021-2023 Emerging Technology Roadmap. It provides an overview of technology adoption trends seen this year, the most promising emerging technologies, and those being cautiously deployed. The webinar analyzes trends related to enabling business technologists, facilitating anywhere operations, and optimizing IT investments. It also explores how self-service delivery and data/analytics technologies are being deployed for both business and IT uses.
The document discusses data governance and why it is an imperative activity. It provides a historical perspective on data governance, noting that as data became more complex and valuable, the need for formal governance increased. The document outlines some key concepts for a successful data governance program, including having clearly defined policies covering data assets and processes, and establishing a strong culture that values data. It argues that proper data governance is now critical to business success in the same way as other core functions like finance.
지난 4월 3일에 대전 KAIST 증강현실연구센터 콜로키움에서 발표한 자료입니다.
‘Digital Twin’ is a digital replication of real world objects, processes, phenomena that can be used for various purposes. Digital twin concept backs to manufacturing industry in early 2000s for the PLM (Product Lifecycle Management) purposes. It is based on the idea that a digital informational construct about a physical system could be created as an entity on its own. As cities are going through digital transformation, there are many attempts to apply digital twin concept to manage urban issues. Those attempts look set to play an increasingly important role in the creation of smart cities around the world and in addressing major public health, safety and environmental issues. Bringing the virtual and real worlds together in this way can help to give better analysis, visualization, and simulation to decision-making process. This will be a multi-way process with iterative feedback among stakeholders. In this colloquium, I talked about the recent trends of Smart City from the perspective of digital twin.
Data Governance Roles as the Backbone of Your ProgramDATAVERSITY
The method you follow to form your Data Governance roles and responsibilities will impact the success of your program. There are industry-standard roles that require adjustment to fit the culture of your organization when getting started, gaining acceptance, and demonstrating sustained value. Roles are the backbone of a productive Data Governance program.
Bob Seiner will share his updated operating model of roles and responsibilities in this topical RWDG webinar. The model Bob uses is meant to overlay your present organizational structure rather than requiring you to try and plug your organization into someone else’s model. This webinar will provide everything you need to know about Data Governance roles.
Bob will address the following in this webinar:
• An operating model of Data Governance roles and responsibilities
• How to customize the model to mimic your existing structure
• The meaning behind the oft-used “roles pyramid”
• Detailed responsibilities at each level of the organization
• Using the model to influence Data Governance acceptance
The Future of Microsoft Project Portfolio Management (PPM) for Delivering Val...OnePlan Solutions
For years, Microsoft’s Project Online has been a relied upon by organizations as its primary project and portfolio management solution. However, as Microsoft evolves, so do its platforms and the solutions. Dive in with us to explore the exciting innovations with Microsoft’s Project for the web and the OnePlan’s AI Strategic Portfolio Management Platform. With enhanced collaboration, data, workflow and reporting capabilities, this latest iteration is set to reshape the way teams operate and deliver value to the organization.
CITY Furniture: Building an Enterprise-wide Logical Data Fabric at the Core o...Denodo
Watch full webinar here: https://bit.ly/3wZLspv
CITY Furniture, a Florida based retail giant, realized that bringing data from its orbital position to the core nucleus of the business decision-making was critical to meeting its business goals. That required an enterprise-wide digital transformation where data science and advanced analytics became the foundation for the company's new digital business model. Building a Logical Data Fabric allowed CITY Furniture to democratize their data and empower all their distributed data consumers.
Learn how the fast-growing retail company could virtualize all its data sources and create a semantic layer to connect and deliver critical data-driven insights to all data consumers. This integrated data view empowered data users from marketing, sales, operations, supply chain, and merchandising functions to make critical insights-driven decisions that helped CITY Furniture increase their market share and grow the business beyond the borders of Florida.
Who Should Own Data Governance – IT or Business?DATAVERSITY
The question is asked all the time: “What part of the organization should own your Data Governance program?” The typical answers are “the business” and “IT (information technology).” Another answer to that question is “Yes.” The program must be owned and reside somewhere in the organization. You may ask yourself if there is a correct answer to the question.
Join this new RWDG webinar with Bob Seiner where Bob will answer the question that is the title of this webinar. Determining ownership of Data Governance is a vital first step. Figuring out the appropriate part of the organization to manage the program is an important second step. This webinar will help you address these questions and more.
In this session Bob will share:
- What is meant by “the business” when it comes to owning Data Governance
- Why some people say that Data Governance in IT is destined to fail
- Examples of IT positioned Data Governance success
- Considerations for answering the question in your organization
- The final answer to the question of who should own Data Governance
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
IT Service Catalog: 5 Steps to Prepare Your Organization for Successful Servi...Evergreen Systems
Few Organizations have deep experience in planning for a successful Service Catalog project. Questions abound:
"What are the best practices? How will we measure success? What roles & responsibilities will we have? What are the customer & executive expectations...and how do we address them? What options do we have for getting started? Can we start simply and grow as we learn?"
Successful Service Catalog projects are dramatically different than many other IT projects. Please join Don Casson, CEO of Evergreen as he answers these questions and explains the 5 steps to prepare your team for success with your IT Service Catalog project.
Jeff Benedict, ITSM Practice Leader, will demo our constantly evolving view of a very advanced Employee Self-Service Catalog & Portal, built on ServiceNow technologies.
Webinar recording with demo available at http://content.evergreensys.com/it-service-catalog-project-steps-prepare-organization
A framework that discusses the various elements of Data Monetization framework that could be leveraged by organizations to improve their Information Management Journey.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Glossaries, Dictionaries, and Catalogs Result in Data GovernanceDATAVERSITY
Data catalogs, business glossaries, and data dictionaries house metadata that is important to your organization’s governance of data. People in your organization need to be engaged in leveraging the tools, understanding the data that is available, who is responsible for the data, and knowing how to get their hands on the data to perform their job function. The metadata will not govern itself.
Join Bob Seiner for the webinar where he will discuss how glossaries, dictionaries, and catalogs can result in effective Data Governance. People must have confidence in the metadata associated with the data that you need them to trust. Therefore, the metadata in your data catalog, business glossary, and data dictionary must result in governed data. Learn how glossaries, dictionaries, and catalogs can result in Data Governance in this webinar.
Bob will discuss the following subjects in this webinar:
- Successful Data Governance relies on value from very important tools
- What it means to govern your data catalog, business glossary, and data dictionary
- Why governing the metadata in these tools is important
- The roles necessary to govern these tools
- Governance expected from metadata in catalogs, glossaries, and dictionaries
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
Big data and IoT are driving changes across many industries like healthcare, retail, automotive, manufacturing, real estate, and transportation. Using big data solutions can improve decision making and provide greater insights faster to decision makers. Some benefits mentioned include health monitoring, supply chain management, buyer targeting, safety, and more. The document discusses challenges of big data solutions and how companies like Datapipe provide managed services to address issues of security, cost, time, resources and experience required for big data analytics.
ENT227_IoT + Cloud enables Enterprise Digital TransformationAmazon Web Services
As a China-based global technology company that is helping some of the world's largest energy providers transition into renewable energy, Envision Energy is leading a digital disruption of the traditional energy system. In this session, Envision discusses how they used the AWS Cloud to create a technology infrastructure that connects and orchestrates millions of smart energy devices around the globe for their Energy IOT platform. They also review how AWS is used to host Envision's core systems, including SAP and Citrix.
How to Implement Data Governance Best PracticeDATAVERSITY
This document provides an overview of a webinar on implementing data governance best practices. It discusses defining data governance best practices and assessing an organization's current practices against those best practices. Examples of best practices from different industries are provided. The document emphasizes communicating best practices in a non-threatening way and building best practices into daily operations. Key aspects covered include criteria for determining best practices, messages to convey to management, and best practices related to creating a best practices document.
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
1) The document discusses best practices for data protection on Google Cloud, including setting data policies, governing access, classifying sensitive data, controlling access, encryption, secure collaboration, and incident response.
2) It provides examples of how to limit access to data and sensitive information, gain visibility into where sensitive data resides, encrypt data with customer-controlled keys, harden workloads, run workloads confidentially, collaborate securely with untrusted parties, and address cloud security incidents.
3) The key recommendations are to protect data at rest and in use through classification, access controls, encryption, confidential computing; securely share data through techniques like secure multi-party computation; and have an incident response plan to quickly address threats.
Risk-driven and Business-outcome-focused Enterprise Security Architecture Fra...Craig Martin
Ana Kukec, Lead Enterprise Security Consultant, Enterprise Architects, Australia
The Open Group Architecture Forum and Security Forum agree that the coverage of security in TOGAF should be updated and improved. The understanding and focus of security architecture has moved from a threat-driven approach of addressing non-normative flaws through systems and applications to a risk-driven and business outcome-focused methodology of enabling a business strategy.
Following this trend, we defined fundamental characteristics of effective security architecture. 1) Capabilities are primary assets at risk, while information systems and technology components are secondary assets at risk supporting the primary assets. 2) Security requirements include the business aspects and not only the technology aspects of confidentiality, integrity and availability. 3) IT risk management is business-opportunity-driven. It requires understanding of risk appetite across business, information systems and technology architecture to manage security risks of vulnerabilities and compliance issues, which may arise at any layer of enterprise architecture in a business-outcome-focused way. 4) Security services are aligned to business drivers, goals and objectives, and managed in a risk-driven way.
Yet, there is no single security architecture development methodology to deliver these characteristics. We believe that existing information security standards and frameworks in a combination with the TOGAF are sufficient to meet the aforementioned fundamental characteristics of effective security architecture. However the challenge is in their integration. Our Enterprise Security Architecture Framework integrates key industry standards and best practices for information security and risk management, such as COBIT 5 for Information Security, ITILv3 Security Service Management, ISO/IEC 27000 and ISO/IEC 31000 families of standards, using the TOGAF Architecture Development Method and Content Meta-model as the key integrators. It is a pragmatic security architecture framework which establishes a common language between IT, security, risk and business organisations within an enterprise and ensures effective and efficient support of long-term security needs of both business and IT, with a risk-driven enterprise as a final outcome.
We will present a case study of the implementation of the aforementioned business-outcome-focused and risk-driven Enterprise Security Architecture Framework at the University of New South Wales.
Key takeaways:
-- Overview of a risk-driven and business-outcome-focused security architecture methodology seamlessly integrated with the TOGAF
-> Security strategic planning
-> Enterprise-wide compliance, internal (policies and standards) and external (laws and regulations
-> Business-opportunity driven management of security risk of threats, vulnerabilities and compliance issues across business, information systems and technology architecture
History Of Architecture I - Lesson 4: Egyptİrfan Meriç
The architecture of ancient Egypt evolved over three main periods - the Archaic Period saw the unification of Egypt and early stone architecture, the Old Kingdom established absolute kingship and saw the construction of pyramids along the Nile, and the New Kingdom built large temples along the Nile connected by vast axes with Thebes emerging as the new capital city. Burial monuments were a core part of Egyptian architecture from early pyramid complexes like that of Zoser to later temples and mortuary structures built for pharaohs like Hatshepsut.
Do-It-Yourself (DIY) Data Governance FrameworkDATAVERSITY
A worthwhile Data Governance framework includes the core component of a successful program as viewed by the different levels of the organization. Each of the components is addressed at each of the levels, providing insight into key ideas and terminology used to attract participation across the organization. A framework plays a key role in setting up and sustaining a Data Governance program.
In this RWDG webinar, Bob Seiner will share two frameworks. The first is a basic cross-reference of components and levels, while the second can be used to compare and contrast different approaches to implementing Data Governance. When this webinar is finished, you will be able to customize the frameworks to outline the most appropriate manner for you to improve your likelihood of DG success.
In this webinar, Bob will discuss and share:
- Customizing a framework to match organizational requirements
- The core components and levels of an industry framework
- How to complete a Data Governance framework
- Using the framework to enable DG program success
- Measuring value through the DIY DG framework
This webinar from Gartner discusses key findings from their 2021-2023 Emerging Technology Roadmap. It provides an overview of technology adoption trends seen this year, the most promising emerging technologies, and those being cautiously deployed. The webinar analyzes trends related to enabling business technologists, facilitating anywhere operations, and optimizing IT investments. It also explores how self-service delivery and data/analytics technologies are being deployed for both business and IT uses.
The document discusses data governance and why it is an imperative activity. It provides a historical perspective on data governance, noting that as data became more complex and valuable, the need for formal governance increased. The document outlines some key concepts for a successful data governance program, including having clearly defined policies covering data assets and processes, and establishing a strong culture that values data. It argues that proper data governance is now critical to business success in the same way as other core functions like finance.
지난 4월 3일에 대전 KAIST 증강현실연구센터 콜로키움에서 발표한 자료입니다.
‘Digital Twin’ is a digital replication of real world objects, processes, phenomena that can be used for various purposes. Digital twin concept backs to manufacturing industry in early 2000s for the PLM (Product Lifecycle Management) purposes. It is based on the idea that a digital informational construct about a physical system could be created as an entity on its own. As cities are going through digital transformation, there are many attempts to apply digital twin concept to manage urban issues. Those attempts look set to play an increasingly important role in the creation of smart cities around the world and in addressing major public health, safety and environmental issues. Bringing the virtual and real worlds together in this way can help to give better analysis, visualization, and simulation to decision-making process. This will be a multi-way process with iterative feedback among stakeholders. In this colloquium, I talked about the recent trends of Smart City from the perspective of digital twin.
Data Governance Roles as the Backbone of Your ProgramDATAVERSITY
The method you follow to form your Data Governance roles and responsibilities will impact the success of your program. There are industry-standard roles that require adjustment to fit the culture of your organization when getting started, gaining acceptance, and demonstrating sustained value. Roles are the backbone of a productive Data Governance program.
Bob Seiner will share his updated operating model of roles and responsibilities in this topical RWDG webinar. The model Bob uses is meant to overlay your present organizational structure rather than requiring you to try and plug your organization into someone else’s model. This webinar will provide everything you need to know about Data Governance roles.
Bob will address the following in this webinar:
• An operating model of Data Governance roles and responsibilities
• How to customize the model to mimic your existing structure
• The meaning behind the oft-used “roles pyramid”
• Detailed responsibilities at each level of the organization
• Using the model to influence Data Governance acceptance
The Future of Microsoft Project Portfolio Management (PPM) for Delivering Val...OnePlan Solutions
For years, Microsoft’s Project Online has been a relied upon by organizations as its primary project and portfolio management solution. However, as Microsoft evolves, so do its platforms and the solutions. Dive in with us to explore the exciting innovations with Microsoft’s Project for the web and the OnePlan’s AI Strategic Portfolio Management Platform. With enhanced collaboration, data, workflow and reporting capabilities, this latest iteration is set to reshape the way teams operate and deliver value to the organization.
CITY Furniture: Building an Enterprise-wide Logical Data Fabric at the Core o...Denodo
Watch full webinar here: https://bit.ly/3wZLspv
CITY Furniture, a Florida based retail giant, realized that bringing data from its orbital position to the core nucleus of the business decision-making was critical to meeting its business goals. That required an enterprise-wide digital transformation where data science and advanced analytics became the foundation for the company's new digital business model. Building a Logical Data Fabric allowed CITY Furniture to democratize their data and empower all their distributed data consumers.
Learn how the fast-growing retail company could virtualize all its data sources and create a semantic layer to connect and deliver critical data-driven insights to all data consumers. This integrated data view empowered data users from marketing, sales, operations, supply chain, and merchandising functions to make critical insights-driven decisions that helped CITY Furniture increase their market share and grow the business beyond the borders of Florida.
Who Should Own Data Governance – IT or Business?DATAVERSITY
The question is asked all the time: “What part of the organization should own your Data Governance program?” The typical answers are “the business” and “IT (information technology).” Another answer to that question is “Yes.” The program must be owned and reside somewhere in the organization. You may ask yourself if there is a correct answer to the question.
Join this new RWDG webinar with Bob Seiner where Bob will answer the question that is the title of this webinar. Determining ownership of Data Governance is a vital first step. Figuring out the appropriate part of the organization to manage the program is an important second step. This webinar will help you address these questions and more.
In this session Bob will share:
- What is meant by “the business” when it comes to owning Data Governance
- Why some people say that Data Governance in IT is destined to fail
- Examples of IT positioned Data Governance success
- Considerations for answering the question in your organization
- The final answer to the question of who should own Data Governance
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
IT Service Catalog: 5 Steps to Prepare Your Organization for Successful Servi...Evergreen Systems
Few Organizations have deep experience in planning for a successful Service Catalog project. Questions abound:
"What are the best practices? How will we measure success? What roles & responsibilities will we have? What are the customer & executive expectations...and how do we address them? What options do we have for getting started? Can we start simply and grow as we learn?"
Successful Service Catalog projects are dramatically different than many other IT projects. Please join Don Casson, CEO of Evergreen as he answers these questions and explains the 5 steps to prepare your team for success with your IT Service Catalog project.
Jeff Benedict, ITSM Practice Leader, will demo our constantly evolving view of a very advanced Employee Self-Service Catalog & Portal, built on ServiceNow technologies.
Webinar recording with demo available at http://content.evergreensys.com/it-service-catalog-project-steps-prepare-organization
A framework that discusses the various elements of Data Monetization framework that could be leveraged by organizations to improve their Information Management Journey.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Glossaries, Dictionaries, and Catalogs Result in Data GovernanceDATAVERSITY
Data catalogs, business glossaries, and data dictionaries house metadata that is important to your organization’s governance of data. People in your organization need to be engaged in leveraging the tools, understanding the data that is available, who is responsible for the data, and knowing how to get their hands on the data to perform their job function. The metadata will not govern itself.
Join Bob Seiner for the webinar where he will discuss how glossaries, dictionaries, and catalogs can result in effective Data Governance. People must have confidence in the metadata associated with the data that you need them to trust. Therefore, the metadata in your data catalog, business glossary, and data dictionary must result in governed data. Learn how glossaries, dictionaries, and catalogs can result in Data Governance in this webinar.
Bob will discuss the following subjects in this webinar:
- Successful Data Governance relies on value from very important tools
- What it means to govern your data catalog, business glossary, and data dictionary
- Why governing the metadata in these tools is important
- The roles necessary to govern these tools
- Governance expected from metadata in catalogs, glossaries, and dictionaries
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
Big data and IoT are driving changes across many industries like healthcare, retail, automotive, manufacturing, real estate, and transportation. Using big data solutions can improve decision making and provide greater insights faster to decision makers. Some benefits mentioned include health monitoring, supply chain management, buyer targeting, safety, and more. The document discusses challenges of big data solutions and how companies like Datapipe provide managed services to address issues of security, cost, time, resources and experience required for big data analytics.
ENT227_IoT + Cloud enables Enterprise Digital TransformationAmazon Web Services
As a China-based global technology company that is helping some of the world's largest energy providers transition into renewable energy, Envision Energy is leading a digital disruption of the traditional energy system. In this session, Envision discusses how they used the AWS Cloud to create a technology infrastructure that connects and orchestrates millions of smart energy devices around the globe for their Energy IOT platform. They also review how AWS is used to host Envision's core systems, including SAP and Citrix.
Autonomic Computing - Autonomy and DefensePeter Lee
The document summarizes an autonomic computing meetup that took place on June 26, 2017 in Los Angeles. It discusses topics including autonomy and defense, emerging technology paradigms like adaptive collaborative control and artificial intelligence, and what constitutes an autonomic system and the autonomic computing model. It also provides a brief definition of dataflow programming as a programming paradigm that models programs as directed graphs of data flowing between operations.
Using Data Integration to Deliver Intelligence to Anyone, AnywhereSafe Software
Data integration makes it possible to deliver intelligence and keep decision makers, first responders, and civilians informed. For over 20 years, FME has been trusted by federal governments to move data from nearly any source to the target destination, while saving time and budget resources.
With FME, federal governments can deliver open data, improve emergency & disaster response, enhance land management, turn public safety and defense into actionable results, and integrate & deliver location intelligence.
Josh Nimetz, Merrick's LiDAR / Imaging Technical Lead gave the following presentation at the Optech Imaging and LiDAR Solutions Conference (ILSC) in Toronto, Ontario on June 26, 2013.
Definition of project profiles to streamline MBSE deployment effortsObeo
Discover how Capella has been deployed and used in a large range of projects in the field of the energy industry with Assystem
Assystem has over 50 years of experience providing industrial infrastructures with engineering services and managing projects complex in size, technological content, and safety requirements.
With the help of Capella and Model-Based System Engineering (MBSE), Assystem as a leading engineering company is helping its clients to face big challenges against an exponential increase in demand worldwide for energy combined with the goals of achieving sustainability of energy supply and reductions in greenhouse gas emissions.
During this webinar, you will:
Get an overview of their pathway towards MBSE approach to structure projects more and more complex and organizations more and more transverse, their MBSE motivations as a communication means for extended organization, and for co-development within other engineering team.
Discover how their initiative architecture has provided both a modeling platform and methodology that can be flexibly adapted to best fit their engineering, construction and research context.
Understand how their systems architects can closely collaborate with engineers responsible for multiple design, construction and commissioning tasks, within a robust framework to ensure both quick and long term added value.
Scalable and Resilient Security Ratings Platform with ScyllaDBScyllaDB
SecurityScorecard is a global leader in cybersecurity ratings and the only service with over 12 million companies continuously rated. ScyllaDB is now an integral part of our data processing. Our requirements are for a database with low query latency, real-time data ingestion, fault tolerance, and highly scalable.
In this presentation, we will share how ScyllaDB is powering our platform and why it is a great fit. We will highlight our business and technical use-cases, and the challenges we faced before migrating to ScyllaDB. Next, we will describe how we migrated three data sources and decoupled the frontend and backend services by introducing a middle layer for improved scalability and maintainability.Finally, we will conclude by sharing some of our learnings, performance benchmarks, and future plans.
Cloud Computing Roadmap Public Vs Private Vs Hybrid And SaaS Vs PaaS Vs IaaS ...SlideTeam
Incorporate How Project Quality Is Managed PowerPoint Presentation Slides to determine how quality will be managed throughout by handling processes and procedures. Analyze the quality-related concerns of the firm by using this effective PPT slideshow. Showcase the information regarding the quality standards that are defined in order to manage overall quality by taking the assistance of the project quality management PowerPoint slideshow. Provide detailed information about product development, design, and testing with the help of a quality management plan PPT slideshow. Showcase various quality-related initiatives, product quality assurance checklist, etc by incorporating this PowerPoint slide deck. Highlight detail about various quality control initiatives, product quality control checklist, quality assurance, etc. by using project management PPT themes. Explain control log, quality control, and assurance issues reporting plan. You can also present information on the project inspection checklist. Present testing techniques that are used to evaluate materials, components properties, in order to determine defects and discontinuities by taking the assistance of project quality assurance PowerPoint slides. The project quality PPT also allows you to present key quality management tools, weekly quality defect occurrence with check sheet, etc. https://bit.ly/3gpFPdy
Top Cited Papers - International Journal of Network Security & Its Applicatio...IJNSA Journal
The International Journal of Network Security & Its Applications (IJNSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the computer Network Security & its applications. The journal focuses on all technical and practical aspects of security and its applications for wired and wireless networks. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern security threats and countermeasures, and establishing new collaborations in these areas.
Moving Forward Faster: How Monash University Automated Data on AWS with Commv...Amazon Web Services
Monash University automated its data backup and recovery processes using Commvault software on AWS. This replaced an inefficient on-premises system and reduced storage costs by 93%. Commvault provided comprehensive backup and rapid recovery capabilities across Monash's hybrid cloud environment. Monash now protects over 600TB of data with only 41TB stored on AWS using Commvault's deduplication. The new system improved operational efficiency and gave Monash a scalable, cost-effective disaster recovery solution.
Research Presentation: What’s Next for Customer Energy Management?Jill Kirkpatrick
The document discusses trends in customer energy management and the grid edge. It notes that residential and non-residential solar PV installations are expected to reach almost 60 GWdc by 2024 in the US. Energy storage deployments are forecasted to hit 500 MW annually in 2021, driven by grid services and solar-plus-storage projects. Utilities are increasingly investing in data analytics platforms and customer engagement applications to optimize operations and monetize customer data from advanced metering infrastructure. Several case studies provide examples of programs utilities are implementing to encourage adoption of distributed energy resources and flexibility services.
This presentation will provide an insider's look at challanges and offer strategies and technologies to maximize IT envoirnments today and for the future.
How Far Can You Go with Agile for Embedded Software?TechWell
With the proliferation of IoT and consumer demand for smarter homes, appliances, automobiles, and wearables, many traditional product-based manufacturing companies are now becoming embedded software companies. This means that the design and manufacturing of physical products is becoming more complex since it now requires the integration of the physical components of the product, the firmware, and the myriad software components these products contain. Historically, embedded software developers have lagged behind IT in the adoption of agile development practices, largely due to the requirement of developing for the target hardware. Anders Wallgren shares concrete tips and best practices used by some of the largest embedded and IoT manufacturers to adopt and scale agile methodologies to transform their business—in product design, development, test, and manufacturing. Learn how to uncover and remove bottlenecks to agile velocity downstream as well as how multi-domain continuous delivery helps accelerate innovation and product delivery.
Digital traffic is expanding rapidly, leading to management and security challenges for data centers. There is a need to rethink data center design to improve efficiency and reduce costs while addressing new problems from technologies like cloud, edge, and hybrid IT. Key challenges include lack of visibility into systems and a need for insights to predict and prevent failures. New solutions from Schneider Electric like EcoStruxure IT Expert and EcoStruxure IT Advisor use big data analytics to provide visibility and insights into data center operations, helping customers optimize efficiency, uptime, and staff productivity.
Optimizing Your Supply Chain with the Neo4j GraphNeo4j
With the world’s supply chain system in crisis, it’s clear that better solutions are needed. Digital twins built on knowledge graph technology allow you to achieve an end-to-end view of the process, supporting real-time monitoring of critical assets.
Frontier is a single stop destination for every IT infrastructure solution in the datacenter or the cloud. We architect, implement, secure, monitor and manage every technology domain, and our solutions are end to end.
We have expertise in : Data center design and implementation, Uninterrupted power solutions, smart building solutions, End user computing, Unified Computing, Unified communications, Hyper converged infrastructure, Public, Private and Hybrid cloud.
2013 ASPRS Track, Modeling Asset Condition Using LIDAR and GIS Data by Colin ...GIS in the Rockies
This presentation outlines the data and techniques used to provide a prioritized rating value and map of the condition and improvement priority of the collection system infrastructure as part of the development of an Asset Management Information Plan (AMIP) for the City of Albany. Factors such as age, material and maintenance activities were considered in addition to community and environmental factors as well as consideration of the proximity of sewer structures to downstream storm structures.
Cloud computing refers to on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It provides advantages like rapid elasticity, broad network access, resource pooling and measured service. There are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Cloud deployment models include public, private, hybrid and community clouds. Key characteristics of cloud computing include agility, cost savings, device/location independence and scalability.
Similar to Panel Taking action on data-driven insights for Vegetation Management (20)
Partner Ecosystem Builds Diverse Utility Arboriculture WorkforceLaurenWeyers
This document discusses partnerships between IBEW Local 17, DTE Energy, and utility arboriculture contractors to establish workforce development programs for utility line clearance work. It describes vocational training programs at Parnall Correctional Facility that provide skills training and apprenticeships to incarcerated individuals, helping them find work upon release. It also outlines a tree trim academy that provides 7 weeks of pre-employment training to help place graduates as apprentices with contractors. The apprenticeship program combines on-the-job training, online coursework, and classroom instruction over 2.5 years to develop a skilled and safety-focused utility arboriculture workforce. The partnerships aim to build a diverse, reliable industry workforce through these training initiatives.
Herbicides A Solution to Reduce Your Carbon FootprintLaurenWeyers
This document discusses how integrated vegetation management (IVM) using herbicides can help reduce the carbon footprint from vegetation management on utility rights-of-way compared to mechanical-only management. IVM identifies compatible and incompatible vegetation, sets action thresholds, evaluates treatment methods, and implements selective treatments to control vegetation over the long term. Studies have shown that mechanically mowed rights-of-way result in higher stem counts and taller vegetation over time, requiring more frequent treatment and emitting more carbon. IVM using herbicides can transition rights-of-way to lower-maintenance, early successional habitats that benefit wildlife while reducing long-term carbon emissions from ongoing vegetation control. Engagement of internal and external stakeholders is important for
The document appears to be about attendees of a conference. It likely contains a list of names of people who will be attending or have registered to attend the event. Further details may include things like their company or organization affiliations, contact information, and any special requirements or notes related to their attendance.
Assessing Botanical and Pollinator Communities in ROW HabitatsLaurenWeyers
This document summarizes a study assessing the effects of integrated vegetation management (IVM) practices on pollinator and botanical communities in rights-of-way (ROW) habitats. The study involved butterfly, bee, and vegetation surveys along transects in ROWs to track biodiversity changes over three seasons. Results showed various pollinator groups including butterflies, bees, flies and beetles present in the ROWs. Milkweeds and nectar resources varied by season. Habitat composition was biased towards pollinator habitats. Future directions include increasing data resolution, using baseline data to track long-term changes, and emphasizing training to improve survey consistency. The study demonstrates that ROWs can provide valuable wildlife habitat when
Advancing UVM Management through Pro-UVM Certificate CredentialLaurenWeyers
This document describes a certificate program for advancing utility vegetation management. The program consists of online courses designed by industry professionals. It offers a Foundations certificate with 5 courses covering topics like electrical systems and arboriculture. An advanced Professional certificate has 3 courses on compliance, scope and cost, and safety. A capstone Program Planning course helps create a comprehensive vegetation management plan. Completing the program awards a credential recognized by the Utility Arborist Association. Testimonials praise how the training has improved participants' management skills and credibility within their utilities. The program aims to support career development for vegetation managers.
Enhancing ESG Through Biodiversity ManagementLaurenWeyers
This document discusses how biodiversity management can enhance ESG reporting for utilities. It outlines how biodiversity loss poses risks to utility operations through increased costs and regulations, while biodiversity gains can provide benefits like reduced costs and improved public image. The document recommends that vegetation managers work with sustainability teams to define biodiversity priorities and indicators. It presents several tools that can help vegetation managers contribute to ESG reporting, such as compatible vegetation guidance, the Monarch Conservation CCAA program, and a pollinator habitat scorecard. These tools help document biodiversity impacts and frame vegetation management as adding value beyond maintenance costs.
Biomechanics of Trees in ROW Forestry Programs A Useful Metric to Guide Clima...LaurenWeyers
This document discusses the importance of considering tree biomechanics and biodiversity when planning climate-ready forestry programs. Three key points:
1) Abiotic and biotic impact factors like sea level rise, storms, pests and disease will increasingly threaten tree stability as the climate changes, making metrics like biomechanics and diversity useful for guiding policy.
2) Tropical trees show a range of biomechanical adaptations, with some native species having strong branch connections and aspect ratios that promote stability. Mixed-species plantings may also experience lower stresses.
3) Events like Biomechanics Week can engage communities and attract partnerships to conduct adaptive research on tree resiliency, sharing lessons between temperate and
This document summarizes trends in wildfire litigation against utilities. It outlines that while total wildfires have remained stable, burned acreage is increasing due to larger fires and drought. Utilities can be sued by property owners for negligence, trespass, or violations of safety codes if powerlines spark fires. Plaintiffs have successfully argued strict liability. Utilities employ defenses like demonstrating responsibility lay elsewhere or defeating class certification. Ultimately, damages may be passed to ratepayers through insurance or regulatory approval.
Long Range Vegetation Management Plan – What is itLaurenWeyers
A long-range vegetation management plan should be systemwide, long-term, and holistic. It outlines a vision, describes the current conditions, and establishes goals and procedures to manage right-of-way vegetation across an entire system in a sustainable way over at least 5 years. The plan considers not just trees but all resources and factors like reliability, habitat, biodiversity, and regulatory compliance. It provides guidance for integrated vegetation management through adaptive, documented processes aimed at achieving specific, productive outcomes.
The 2003 blackouts affected over 56 million people in Italy, Switzerland, and parts of the northeastern United States and Canada. The blackout in Italy left the entire Italian peninsula without power for 12 hours, while parts of Switzerland were without power for 3 hours. The blackout in North America was the worst power failure in history, affecting areas from New York to Michigan and Toronto. The root cause of the blackouts was later determined to be inadequate planning and communication between different power control centers, highlighting the need to consider how one power system can impact neighboring systems.
Creative Sourcing Solutions for UVM- The Power of CollaborationLaurenWeyers
This document discusses current workforce challenges in the utility vegetation management industry and proposes holistic and triage solutions. It notes high job openings but lower unemployment, empowered workers demanding more flexibility, well-being and training. A report found the industry needs to view workforce issues differently and focus on job satisfaction, appreciation and feeling valued. The document proposes a strategic sourcing initiative between utilities and vendors to collaboratively solve recruitment and retention challenges. Key components include identifying opportunities, assessing the current state, developing a strategic plan, selecting contractors, implementing and continuously improving. Specific triage opportunities proposed are making wages competitive, strategic use of overtime and per diems. The document emphasizes utility and vendor collaboration is needed to overcome challenges.
Incorporating Indigenous Partnerships in Vegetation Management Wabitsabi Nann...LaurenWeyers
This document discusses incorporating indigenous partnerships in vegetation management. It proposes including indigenous tribes in the Incident Command System as part of Unified Command rather than as stakeholders. This would recognize indigenous fire knowledge and partnerships in wildfire prevention and response. Incorporating traditional ecological knowledge from tribes would help develop more effective vegetation management strategies while fostering relationships and community resilience.
This document discusses influences on risk perception and behavior. It defines hazards as inherent properties that can cause harm, while risk is the probability of harm from exposure to a hazard. Perception of risk may differ from the reality due to influences like habit and removing obstacles. The model of influences identifies four main influences - perception, habit, obstacles, and barriers. Responding involves training, reminders, identifying issues, and applying a hierarchy of controls to modify influences for long term safety results. Developing a questioning attitude, using curiosity, listening and questioning can help challenge assumptions and avoid complacency to better understand influences on risk.
This document provides an agenda and summaries for the 2022 Utility Arborist Association Luncheon Meeting. The agenda includes welcome remarks, award presentations, introductions of board members and staff, recognition of new certificate holders, and sponsor appreciation. Several individual awards are given out, including the Utility Arborist Award, President's Award, Lifetime Achievement Award, and awards for contributions to education and the field of utility arboriculture. New certificate holders from the Pro-UVM program are also recognized. The meeting concludes with thanks to meeting sponsors.
Managing Environmental Health and Safety Makes $enseLaurenWeyers
1) The document discusses measuring the return on investment (ROI) of safety using a case study approach.
2) It describes using a perception survey and Analytical Hierarchical Process (AHP) to turn subjective safety data like opinions into objective numerical data to prioritize safety spending.
3) The case study results showed that establishing a safety and health management system had the highest benefit-cost ratio, indicating it should be the priority for investment.
A Unique Opportunity for Rural Electric CooperativesLaurenWeyers
Rural electric cooperatives (RECs) provide electricity to rural areas across the US, maintaining distribution lines over 75% of the country's landmass. As decarbonization efforts increase under statutes like the Clean Air Act, RECs have a unique opportunity to capitalize on their vast land holdings and engage in practices like urban vegetation management (UVM) to generate carbon credits for sale. The carbon credit market and other federal programs could provide RECs with a new revenue stream to help fund their transition to renewable energy while promoting environmental stewardship in rural communities.
This document introduces new biodiversity tools available on the UAA website to help vegetation managers demonstrate the economic and environmental value of integrated vegetation management (IVM) programs that consider biodiversity. It summarizes business case templates, a cost calculator, and a companion guide for managing compatible vegetation for targeted species and biodiversity when planning IVM scopes of work. Examples are provided of how utilities are managing vegetation across a spectrum from protection to enhancement to maintaining ecological integrity. Guidance encourages long-term planning and monitoring to transition from incompatible-focused management to promoting biodiversity objectives.
This document discusses how digital systems are changing safety oversight in the UVM industry. It begins by contrasting digital and analog systems, noting the pros and cons of collecting digital data. While data can fulfill requirements and identify improvement areas, it can also lead to vague models, sampling bias, and unintended consequences. The document recommends facilitating grassroots discussion, recognizing desired behaviors, and gamifying safety programs to avoid "Big Brother" outcomes. It concludes by advising companies to identify objectives, test systems, involve employees, and reassess periodically when building the right digital strategy.
Compositions of iron-meteorite parent bodies constrainthe structure of the pr...Sérgio Sacani
Magmatic iron-meteorite parent bodies are the earliest planetesimals in the Solar System,and they preserve information about conditions and planet-forming processes in thesolar nebula. In this study, we include comprehensive elemental compositions andfractional-crystallization modeling for iron meteorites from the cores of five differenti-ated asteroids from the inner Solar System. Together with previous results of metalliccores from the outer Solar System, we conclude that asteroidal cores from the outerSolar System have smaller sizes, elevated siderophile-element abundances, and simplercrystallization processes than those from the inner Solar System. These differences arerelated to the formation locations of the parent asteroids because the solar protoplane-tary disk varied in redox conditions, elemental distributions, and dynamics at differentheliocentric distances. Using highly siderophile-element data from iron meteorites, wereconstruct the distribution of calcium-aluminum-rich inclusions (CAIs) across theprotoplanetary disk within the first million years of Solar-System history. CAIs, the firstsolids to condense in the Solar System, formed close to the Sun. They were, however,concentrated within the outer disk and depleted within the inner disk. Future modelsof the structure and evolution of the protoplanetary disk should account for this dis-tribution pattern of CAIs.
Embracing Deep Variability For Reproducibility and Replicability
Abstract: Reproducibility (aka determinism in some cases) constitutes a fundamental aspect in various fields of computer science, such as floating-point computations in numerical analysis and simulation, concurrency models in parallelism, reproducible builds for third parties integration and packaging, and containerization for execution environments. These concepts, while pervasive across diverse concerns, often exhibit intricate inter-dependencies, making it challenging to achieve a comprehensive understanding. In this short and vision paper we delve into the application of software engineering techniques, specifically variability management, to systematically identify and explicit points of variability that may give rise to reproducibility issues (eg language, libraries, compiler, virtual machine, OS, environment variables, etc). The primary objectives are: i) gaining insights into the variability layers and their possible interactions, ii) capturing and documenting configurations for the sake of reproducibility, and iii) exploring diverse configurations to replicate, and hence validate and ensure the robustness of results. By adopting these methodologies, we aim to address the complexities associated with reproducibility and replicability in modern software systems and environments, facilitating a more comprehensive and nuanced perspective on these critical aspects.
https://hal.science/hal-04582287
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...Sérgio Sacani
Context. The observation of several L-band emission sources in the S cluster has led to a rich discussion of their nature. However, a definitive answer to the classification of the dusty objects requires an explanation for the detection of compact Doppler-shifted Brγ emission. The ionized hydrogen in combination with the observation of mid-infrared L-band continuum emission suggests that most of these sources are embedded in a dusty envelope. These embedded sources are part of the S-cluster, and their relationship to the S-stars is still under debate. To date, the question of the origin of these two populations has been vague, although all explanations favor migration processes for the individual cluster members. Aims. This work revisits the S-cluster and its dusty members orbiting the supermassive black hole SgrA* on bound Keplerian orbits from a kinematic perspective. The aim is to explore the Keplerian parameters for patterns that might imply a nonrandom distribution of the sample. Additionally, various analytical aspects are considered to address the nature of the dusty sources. Methods. Based on the photometric analysis, we estimated the individual H−K and K−L colors for the source sample and compared the results to known cluster members. The classification revealed a noticeable contrast between the S-stars and the dusty sources. To fit the flux-density distribution, we utilized the radiative transfer code HYPERION and implemented a young stellar object Class I model. We obtained the position angle from the Keplerian fit results; additionally, we analyzed the distribution of the inclinations and the longitudes of the ascending node. Results. The colors of the dusty sources suggest a stellar nature consistent with the spectral energy distribution in the near and midinfrared domains. Furthermore, the evaporation timescales of dusty and gaseous clumps in the vicinity of SgrA* are much shorter ( 2yr) than the epochs covered by the observations (≈15yr). In addition to the strong evidence for the stellar classification of the D-sources, we also find a clear disk-like pattern following the arrangements of S-stars proposed in the literature. Furthermore, we find a global intrinsic inclination for all dusty sources of 60 ± 20◦, implying a common formation process. Conclusions. The pattern of the dusty sources manifested in the distribution of the position angles, inclinations, and longitudes of the ascending node strongly suggests two different scenarios: the main-sequence stars and the dusty stellar S-cluster sources share a common formation history or migrated with a similar formation channel in the vicinity of SgrA*. Alternatively, the gravitational influence of SgrA* in combination with a massive perturber, such as a putative intermediate mass black hole in the IRS 13 cluster, forces the dusty objects and S-stars to follow a particular orbital arrangement. Key words. stars: black holes– stars: formation– Galaxy: center– galaxies: star formation
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfSelcen Ozturkcan
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
HUMAN EYE By-R.M Class 10 phy best digital notes.pdf
Panel Taking action on data-driven insights for Vegetation Management
1. Guiding Tree Management Decisions – A data Agnostic
Approach utilizing Remote Sensing
2022 Trees & Utilities
Adam Helminiak – ATC
Patrick Eisenhauer – E Source
9/21/2022
Key Points 1 - With all that could be done, how much should we do?
Key Points 2 – To identify risk trees you need also to be able to identify good tree.
Don’t become paralyzed with information, analysis paralysis, at the end of the day its about removing risky trees and avoiding outages.
We are empowering utilities to become ““Guardians of their Galaxy”
Key Point 3 – Its about creating an approach that is a flexible solution to allow ATC to evolve their program over time.
Key Point 4 – We are looking to optimize, become more efficient, and recognize cost benefits.
Privately owned by the approximately 25 utilities, municipalities and coops with divested assets.
ATC CULTURE: ONE TEAM – connected by purpose, curiosity and positive energy
ATC business imperatives align with our program direction
ATC Business Imperatives
Manage Risk – compliance, forced outages and storm response, safety, public relations
Manage Budget – continue to find efficient and effective ways to manage
Dev People – challenge and provide opportunities to succeed
Explore technology, challenge the status quo, use data to inform decision making
About 10 years ago ATC hired vegetation specific personnel to support the VM program
That was really the start of our VM program journey which has evolved tremendously in the last 10 years
We started like many programs – high reactive/unplanned work; clearing the easy to recognize lines in poor condition
We now have 5 VM Specialists and a Manager of VM who oversee 6 contractors and about 150 contract employees
We’ve cleared about 85-90% of our lines – We do choose to manage a more aggressive clearing strategy using IVM tools to create a compatible ROW
We’ve made significant progress with clearing our ROW’s to specification but completing the right work at the right time is more challenging and requires more than head knowledge to prioritize more holistically at the system level
Diversity in tree types, growth rates, easements, topography vary across the system and
Our next step in program maturation is technology to enhance the program
Most of us have the largest line item in the maintenance budget and when you have close over grown trees everywhere it’s an easy justification but we’ve found as the VM program matures technology has helped
Prioritize work
Fiscal responsibility
Demonstrate we’re completing the right work at the right time – data driven decisions
VM has a lot of data - but we really had limited ways to use this information
Very manual manipulation of the data
Technology can help us turn data into information
How is ATC becoming data driven
Today we’re focusing on our E Source initiative but keep in mind it’s not just a single technology solution and many times these initiatives feed each other
Other examples of technology to enhance the program
PowerBI – good news is we collected data for about 15 years – scheduling, costs, budget breakdowns (planned vs. unplanned) but we needed a tool to turn this data into something useful
LiDAR initiative started last year and expanded to our FAC applicable lines serving uses of vegetation clearances as well as cycle optimization
Modeling and predicting vegetation growth
AGO
Vegetation Management System for work planning and accessible in the field down to the crew level
Survey123, Quick Capture
This initiative with E Source
We are a management company and we need to leverage our personnel along with industry professionals to help find what works best for us
Leverage those working with other utilities – E Source happened to be the experts we leveraged with this specific initiative
The technology needs to be the right fit and how you get there needs to be the right fit
Key Point - Mapping tree presence system wide is critical to providing a decision framework and approach. Explain.
Key Point - Analytical Design Step 1 – Cast points, at 1m spacing, across the right-of-way extent system wide.
Key Point - Analytical Design Step 2 – Attribute points with relevant variables essentially creating a training dataset.
Key Point – Analytical Design Step 3 – Use variables to predict tree presence and height at each point across the system.
End Point – This is a hierarchical modeling approach, central to spatiotemporal modeling with two components (1) Tree Presence (2) Tree Height. Often multiple models are deployed across service territory, with different variables and multiple sources / types of imagery allowing for the best predictions in specific locations. Some sources of imagery might be better for height and some for presence.
e.g. cloud cover and cornfields.
Generate points at finite resolutions (e.g., 1m spacing) across the territory extent.
Each point can be characterized by:
Tree Presence Yes/No
LiDAR derived height
Satellite imagery
Aerial Imagery
Slope, elevation, terrain
Infrastructure conditions
…
Employ statistical methods to predict the LiDAR derived tree presence and heights
Why are we doing this. We don’t always have LiDAR everywhere. And LiDAR is expensive.
Developed an imagery-based model using public and ATC captured LiDAR data to develop it system wide.
LiDAR is expensive to procure, do you really need it everywhere?
Key Points – Ecologically Specific
Key Points – Using best available data
Key Point – Fairly northern, had to be careful of imagery sources used during spring capture. Snow can impact model performance.
Key Point - Utilizing best available data across the system.
Candidate variables. We narrow these down via analytical works to get at the key model drivers.
Best
Not all Lidar is the same.
If I was standing in front of a tree example.
SO, how well are the models performing.
Not perfect. Reminder that LiDAR is not perfect either.
Goodness of fit metric for continuous variables.
Goodness of fit metric for yes/no is AUC.
Perform cross validations – Train Test
Key Point - 35Million Points
We have used generalized model risk.
Don’t have enough outages to train on like we do on distribution.
Data Capture - So, we setup a sampling design.
Prediction – ACU < 0.80
This is how our outage risk analytics work.
Crews -
Identify Red Canopy
Captured Why
Sampling can be performed and would improve model performance.
Risk Tree Predictions were estimated using point process models (32 million points) across ATC’s entire Transmission System (10,025 miles)
Geo-spatial datafiles at multiple resolutions (point, span, circuit) are delivered to support ATC’s vegetation management and mitigation planning (as a risk prioritization tool)
As you can see, there are tons of points generated. In this example, we display points with predicted heights (blue points are short, red points are tall)
We need to take this immense amount of data and aggregate it to deliver actionable tree analytics
One potential spatial aggregation method is tree canopy polygons containing the heights of detected trees
In this example, white polygons represent short trees and red polygons represent tall trees
Another potential spatial aggregation is at the span level, or each section of conductor from pole to pole.
Here is an example spatial aggregation of the total number of trees per span
Blue lines contain the least number of trees, red lines contain the most number of trees
We can scale this up further and spatially aggregate tree presence and height at the segment level as well, or even broader spatial resolutions
In this example, Blue segment sections have the least number of trees, and red segments contain the most trees
Because we
Key Point - Imagery provides a great advantage due cost and speed to acquisition / delivery
Key Point - Thinking beyond tree presence and heights. IE Risk and criticality.
Key Point – Nested approach provides operational power and each level of the organization.
Expert Opinion based scoring system
Score was fit 0-1
How do we tie this
Tree Risk – What is the probability of a tree caused outage.
Criticality – Given that we are going to have an outage, what is the impact
Opener Slide Number 2 - Tell the story to set the stage.
1 - High tree outage risk warrants an investigation.
2 - High Line Criticality warrants an investigation.
3 – Bad Apples
This can be done at multiple resolutions including, polygons, spans, circuits,
Key Point - Imagery provides a great advantage due cost and speed to acquisition / delivery
Key Point - Thinking beyond tree presence and heights. IE Risk and criticality.
Key Point – Nested approach provides operational power and each level of the organization.
Imagery-based and LiDAR-based estimates of tree conditions were highly correlated.
Imagery provides an advantage due to reduced cost and speed to acquisition / delivery.
Think beyond:
A single data source. e.g., LiDAR
Trees alone e.g., Risk and criticality.
Used a nested / scaled approach to provide decision support at each level of the organization.
Initially a challenge but this initiative provided opportunities to improve
Forced ATC to look at appropriate data sources – line load, sensitive customers, etc
Data sharing permissions and security
In some cases there were multiple data sources which provided an opportunity corporately to identify appropriate data sources
We were missing conductor location and had to make assumptions
Ecologically specific tree models were developed using additional data such as time of year – snow, agriculture
It took more time but more data was used to overcome this
Cost
LiDAR can be 30x cost – this won’t be used as a compliance tool!
E Source adaptable – it wasn’t that we had to have X, Y and Z to make it work – they adapted to what we had available or were able to use what we had to use where it fit best
Aligning the data and expectations with the deliverables
You don’t necessarily need LiDAR data to predict tree risk
We all have a lot going on within our routine work and yes it took work, but having the right partner can help minimize the work
Prioritization used to validate our annual work plan
Right work at the right time
AGO map is a visual integrated with our AGO map tools for field use
Our industry is changing rapidly with generation sources
We’re seeing a significant amount of solar and wind
Line criticality adjusts as system conditions changes – such as new generation added
This helps tie VM objectives with system operation objectives
We anticipate this data be used during VM patrols and work planning
We can’t 360 degree inspect every tree across 10K miles but we can use the tool to help narrow those areas of higher risk
We still have some work to do
Supplement LiDAR with the models as it becomes available
Ground truthing will help refine the accuracy of the models which was not in scope with this phase of the project
Update models as data changes – work, outages, line risk
Closing:
There isn’t one single solution, and it needs to fit your program needs
Don’t be afraid to start this journey because you don’t feel you have the right information, data or resources
Many of these solutions area flexible, adaptable
Start your technology journey by leveraging the experience in the industry – but start that journey