What has the UK Asset Management Industry learned over past 25 years?seamsltd
We reflect on the past 10 years of regulated asset investment planning in the UK from 3 key sectors, Water, Road and Rail. Each highlights a different path taken with positives and negative results. At one end is UK regulated water industry which was one of the earliest, and still may be the largest, user of a strong regulated asset management framework with strong links from prices through to levels of service.We consider how the latest focus on Totex / Output Delivery Incentives will work. More recently the UK government has change its approach to asset management governance on the strategic roads network, an asset base valued as one of the top ten largest in the world. By introduction of a roads regulator and setting a new government owned company does this signal the intention to fully privatise the roads network and could this be a model adopted elsewhere?
Investment Planning: Meeting today's challenges and planning for the futureseamsltd
The Water industry is facing a plethora of challenges post price review - how can they address these and remain on plan to hit business KPIs during the next AMP period? This document discusses this issue.
IAM conference: asset vs portfolio modelling seamsltd
Presentation by April Hutchens of SEAMS and Jonathan Hagan of Severn Trent Water on asset vs portfolio centric investment modelling and the use of analytics from a practical point of view
ICON Water: Asset Management for Sewer Networksseamsltd
ICON Water presentation to the Water Services Association of Australia (Civil Assets Network) on the work they're doing with SEAMS and AECOM on modelling for Sewer Network Managment - a first for this sector in Australia.
Exploring a 10yr Analytics Journey to achieve Regulatory Success in the UK wa...seamsltd
SEAMS/Severn Trent Water case study on the success of using analytics, modelling and optimisation to achieve regulatory performance measures in the water sector.
SEAMS: Should I manage the assets or the projects?seamsltd
Jon Greensill recently presented at the Asset Management Ecosystem inaugural conference in Las Vegas. He looked at how asset level planning and project portfolio planning differ, and described the relative benefits of each approach. He explored how the latest asset analytics is making more detailed planning achievable and how a new approach has delivered excellent results for some of the largest utility companies in the world.
Royal Borough of Windsor and Maidenhead - Implementing InPhase: The first six...Aden Maine
Anna Robinson, Strategy and Performance Manager, Strategy and Commissioning is a recently new customer currently underway with an initial implementation for a joined-up whole-Council solution.
What has the UK Asset Management Industry learned over past 25 years?seamsltd
We reflect on the past 10 years of regulated asset investment planning in the UK from 3 key sectors, Water, Road and Rail. Each highlights a different path taken with positives and negative results. At one end is UK regulated water industry which was one of the earliest, and still may be the largest, user of a strong regulated asset management framework with strong links from prices through to levels of service.We consider how the latest focus on Totex / Output Delivery Incentives will work. More recently the UK government has change its approach to asset management governance on the strategic roads network, an asset base valued as one of the top ten largest in the world. By introduction of a roads regulator and setting a new government owned company does this signal the intention to fully privatise the roads network and could this be a model adopted elsewhere?
Investment Planning: Meeting today's challenges and planning for the futureseamsltd
The Water industry is facing a plethora of challenges post price review - how can they address these and remain on plan to hit business KPIs during the next AMP period? This document discusses this issue.
IAM conference: asset vs portfolio modelling seamsltd
Presentation by April Hutchens of SEAMS and Jonathan Hagan of Severn Trent Water on asset vs portfolio centric investment modelling and the use of analytics from a practical point of view
ICON Water: Asset Management for Sewer Networksseamsltd
ICON Water presentation to the Water Services Association of Australia (Civil Assets Network) on the work they're doing with SEAMS and AECOM on modelling for Sewer Network Managment - a first for this sector in Australia.
Exploring a 10yr Analytics Journey to achieve Regulatory Success in the UK wa...seamsltd
SEAMS/Severn Trent Water case study on the success of using analytics, modelling and optimisation to achieve regulatory performance measures in the water sector.
SEAMS: Should I manage the assets or the projects?seamsltd
Jon Greensill recently presented at the Asset Management Ecosystem inaugural conference in Las Vegas. He looked at how asset level planning and project portfolio planning differ, and described the relative benefits of each approach. He explored how the latest asset analytics is making more detailed planning achievable and how a new approach has delivered excellent results for some of the largest utility companies in the world.
Royal Borough of Windsor and Maidenhead - Implementing InPhase: The first six...Aden Maine
Anna Robinson, Strategy and Performance Manager, Strategy and Commissioning is a recently new customer currently underway with an initial implementation for a joined-up whole-Council solution.
Subex is leading TM Forum Asset Management team, which was launched in 2013. This team has initiated a very ambitious project in the last few months, to bring standards into the Network Capex and Network Optimization practices within operators globally. With multi-billion dollar network capex budgets across operators, and a multi-trillion dollar industry spend annually, the Asset Management project at TM Forum has turned attention to creating processes, controls, and ultimately program standards and recommendations to help optimize the biggest capital spend line item in every operator's budget today: Network Investment.
OECD Infrastructure Governance Index - Ana-Maria Ruiz Rivadeneira, OECDOECD Governance
This presentation was made by Ana-Maria Ruiz Rivadeneira, OECD, at the 12th Annual Meeting of the OECD Network of Senior PPP and Infrastructure Officials, held in Paris on 16 April 2019.
This presentation was made by Delphine Moretti, OECD, at the 40th Annual Meeting of OECD Senior Budget Officials (SBO) held in Tallinn, Estonia, on 5-6 June 2019
Sciemus Wind can apply their proprietary data and analytics to assist in the financial modelling of wind energy projects, whether in the planning, benchmarking or refinancing stages.
Avoid wasting time and money procuring and implementing dcimUptime Institute
To often, the pursuit of Data Center Infrastructure Management (DCIM) benefits leads to a procurement and implementation process that takes too long, software that costs too much, and the tools often under-deliver. Organizations frequently fail to define business requirements for DCIM and evaluate options in a holistic and consistent framework. This webinar can help provide insight into why those outcomes occur and how to avoid them.
2009 SMB Disaster Preparedness Survey Global ResultsSymantec
In this year’s annual Disaster Recovery Research, Symantec found that organizations’ IT staff responsible for disaster recovery are under increased pressures caused by high downtime costs, stringent IT service level requirements and budgets that are expected to remain flat over the next few years. Although IT professionals have been largely able to rise to these challenges and are doing more with less, disaster recovery testing increasingly impacts customers and revenue, and one in four tests fail. In addition, incorporating virtualization into disaster recovery plans is still a major challenge for organizations. Due to this and other factors, executives are more involved in disaster recovery initiatives.
What is analytics and what does it mean in the context of Asset management (infrastructure and non infrastructure based). How can predictive and prescriptive analytics shape asset management planning.
Subex is leading TM Forum Asset Management team, which was launched in 2013. This team has initiated a very ambitious project in the last few months, to bring standards into the Network Capex and Network Optimization practices within operators globally. With multi-billion dollar network capex budgets across operators, and a multi-trillion dollar industry spend annually, the Asset Management project at TM Forum has turned attention to creating processes, controls, and ultimately program standards and recommendations to help optimize the biggest capital spend line item in every operator's budget today: Network Investment.
OECD Infrastructure Governance Index - Ana-Maria Ruiz Rivadeneira, OECDOECD Governance
This presentation was made by Ana-Maria Ruiz Rivadeneira, OECD, at the 12th Annual Meeting of the OECD Network of Senior PPP and Infrastructure Officials, held in Paris on 16 April 2019.
This presentation was made by Delphine Moretti, OECD, at the 40th Annual Meeting of OECD Senior Budget Officials (SBO) held in Tallinn, Estonia, on 5-6 June 2019
Sciemus Wind can apply their proprietary data and analytics to assist in the financial modelling of wind energy projects, whether in the planning, benchmarking or refinancing stages.
Avoid wasting time and money procuring and implementing dcimUptime Institute
To often, the pursuit of Data Center Infrastructure Management (DCIM) benefits leads to a procurement and implementation process that takes too long, software that costs too much, and the tools often under-deliver. Organizations frequently fail to define business requirements for DCIM and evaluate options in a holistic and consistent framework. This webinar can help provide insight into why those outcomes occur and how to avoid them.
2009 SMB Disaster Preparedness Survey Global ResultsSymantec
In this year’s annual Disaster Recovery Research, Symantec found that organizations’ IT staff responsible for disaster recovery are under increased pressures caused by high downtime costs, stringent IT service level requirements and budgets that are expected to remain flat over the next few years. Although IT professionals have been largely able to rise to these challenges and are doing more with less, disaster recovery testing increasingly impacts customers and revenue, and one in four tests fail. In addition, incorporating virtualization into disaster recovery plans is still a major challenge for organizations. Due to this and other factors, executives are more involved in disaster recovery initiatives.
What is analytics and what does it mean in the context of Asset management (infrastructure and non infrastructure based). How can predictive and prescriptive analytics shape asset management planning.
Data Science Salon: Quit Wasting Time – Case Studies in Production Machine Le...Formulatedby
Presented by Yashas Vaidya, Sr Data Scientist at DataIku
Next DSS MIA Event - https://datascience.salon/miami/
The steps to taking a machine learning model to production. Modern architectures and technologies for building production machine learning. An overview of the talent and processes for creating and maintaining production machine learning.
Governing Agile Teams: Disciplined Strategies to Increase Agile EffectivenessTechWell
Many organizations have successfully adopted agile on a subset of their projects, while, at the same time, struggled to do so across entire departments. A common challenge is the need to overhaul the IT governance strategy so that it will work with agile teams. This is a serious issue for governance bodies with little or no practical agile experience, particularly when experience shows that traditional governance strategies increase the risk of failure on agile projects. Scott Ambler introduces The Disciplined Agile Delivery framework for managing and monitoring enterprise agile teams. This framework goes beyond offering an IT governance strategy to provide advanced strategies such as development intelligence and the goal-question-metric measurement approach. Learn the do’s and don’ts of governing agile teams, how governance fits in and enhances the agile project lifecycle, how to measure agile teams, and most importantly, why teams should demand good governance.
Oil & Gas Technology Solutions on HANA. Akili and Cisco Offer Best in Class Solutions for Upstream Oil & Gas.
Gain Optimal Performance and Accelerated Results with Industry Solutions on HANA.
Loras College 2014 Business Analytics Symposium | Steve Whinnery and Scott St...Cartegraph
This presentation will walk you through an explanation of planning, industry leading practices for planning, executive leading practices for planning and finally analytics and planning.
For more information on the Loras College 2014 Business Analytics Symposium, the Loras College MBA in Business Analytics or the Loras College Business Analytics Certificate visit www.loras.edu/mba or www.loras.edu/bigdata.
Performance measures are commonly used to track and improve our facilities operations. But some Facility Managers are not comfortable developing and using them. This presentation outlines some easy to understand ways to develop metrics that are useful. It will also examine ways that well-intended performance measures contribute to the wrong outcomes.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
SEAMS SWIM Dec 2016
1. Update on UK Water Industry -
Data Analytics for Asset Management
Jon Greensill
2. SEAMS is the Market Leader for Asset Planning Systems
in the UK Water Industry
• Founded in 2002 from water sponsored academic research
• Company shareholders still included…
• Chair of the Analytics working group for
• Now working internationally, for example –
8. Continue to Simplify the Planning Process…
8
Manages decision analytics from raw data to optimised investment plans.
Simple to rerun the analysis given new data.
11. Output Delivery Incentives
What’s the challenge?
• Each company has a set of specific outcomes that they must
deliver – hard, measurable targets
• Companies could choose from a ‘menu’ but had to prove it was
choosing items relevant to its own customer base - (Customer
Willingness To Pay)
• There is serious money at stake. The incentives for the timely
completion of major capital projects are high-impact, as minor
delays can result in large penalties.
• The incentives to reduce water leakage expose companies to
penalties in excess of $1.1Bn and rewards of up to $450M.
14. 14
DESCRIPTIVE PREDICTIVE PRESCRIPTIVE
STRATEGICTACTICALOPERATIONAL
What happened to all our
assets in the last 10yrs?
What happened to groups of
assets in the last year?
What is happening to our
assets today?
What will happen to our assets in
the next 25yrs?
What will happen to our assets in
the next year?
What will happen to our
assets tomorrow?
What future investments do we
need to make on our assets?
What assets do we need to
replace or maintain this year?
What assets do we need to
inspect or maintain tomorrow?
Analytics Techniques
BusinessRequirements
• Long term data collection
• Trend analysis on historic data
• Understand past performance
• Scorecards
• Data warehousing
• Data mining
• Forecasting the future
• Probability of failure
• Asset deterioration
• Statistical analysis software
• Long term investment scenarios
• Whole life cost modelling
• Optimisation and simulation
• Uncertainty and sensitivity
• Decision support tools
• Annual data collection & refresh
• Review seasonal trends
• Identify localised issues
• Dashboards
• Annual business reporting
• Daily data collection
• Real time monitoring of assets
• Early warning of faults
• Rapid response to asset failure
• SCADA and monitoring tools
• Detailed data mining
• Forecast annual performance
• Account for localised factors
• Engineering validation
• GIS tools and techniques
• Annual investment scenarios
• Set annual budgets
• Set annual performance targets
• Candidate assets for investment
• Decision support tools
• Real time data analysis
• Predict highest risk assets
• Condition and criticality scores
• Process engineering
• Integration of analytics to SCADA
• Daily schedules of work
• Improve operational efficiency
• Optimise proactive Investment
• Prioritise reactive Investment
• Job optimisation schedulers
Analytics Matrix
