Season 3 Semi Final Business Case Scenario Submission of Submitted By : Lingraj Meher - From Team Wright | Submission Date & Time : 2021-03-14 03:32:32
CMGT 400 Grading Rubric Learning Team – CMGT 400 Week 4 Learning Team Grading Rubric – Disaster Recovery and Business Continuity Plan
MEETS CRITERIA?
CMGT 400 Week 4 Learning Team Grading Rubric - Disaster Recovery and Business Continuity Plan
PTs
Grade
COMMENTS
Content (77.0 points)
Using the financial services scenario from the Week 2 and Week 3 Learning Team assignments, “Financial Service Security Engagement,” create an 8- to 10-page Disaster Recovery and Business Continuity Plan with the following:
· Determine the recovery model for your backup and recovery strategy (16pts.)
· Design the backup strategy and include a diagram to document your backup strategy. (16pts.)
· Include recovery steps in your diagram (16pts.)
· Recommend a schedule for backups (13 pts.)
· Explain how you will test your backup and recovery strategy (16pts.)
· Recovery sites
· Hot site
· Warm site
· Cold site
· Order of restoration
· Backup types
· Differential
· Incremental
· Snapshot
· Full
· Geographic considerations
· Off-site backups
· Distance
· Location selection
· Legal implications
· Legal implications
· Data sovereignty
· Continuity of operation
· Exercises
· After-action reports
· Failover
· Alternate processing sites
· Alternate business practices
Submit the assignment.
77
X out of 77
Research
Assignment has research depth including at least two outside relevant peer reviewed references from course material and/or the library.
7
Organization
Assignment is organized appropriately covering all required topics in a logical sequence. Title, introduction, body, conclusion and references are included in required sequence.
3
Mechanics, Quality and APA:
Assignment projects professional, quality image, meets academic integrity requirements. Meets APA format. Include title page and reference section. References in APA format. No spelling errors - the paper has obviously been proofread. Title and reference pages do not count toward the length requirement.
3
TOTAL POINTS FOR RESEARCH, ORGANIZATION, QUALITY, AND APA REQUIREMENTS
X out of 13
TOTAL POINTS
(X out of 90 possible points) 04-29-19 rpg
2
2
Financial Service Security Engagement
John Fulcher, LatoyaDavis, RenitaGarland, WilliamCrabb, LoganHampton Comment by Ellen Gaston: Include the names of all participating team members
CMGT 400
October 1, 2019
Financial Service Security Engagement
Customers are a critical stakeholder to every business organization across the globe. As the learning team for a financial service company specializing in sales and management of an investment portfolio for high net-worth individuals, the team has a responsibility to ensure safety. As a measure to improve confidentiality, integrity, and availability of information, the company migrated to cloud-based, customer relationship management. However, the chief information security officer (CISO) is concerned about the new system security. This ...
Season 3 Semi Final Business Case Scenario Submission of Submitted By : Lingraj Meher - From Team Wright | Submission Date & Time : 2021-03-14 03:32:32
CMGT 400 Grading Rubric Learning Team – CMGT 400 Week 4 Learning Team Grading Rubric – Disaster Recovery and Business Continuity Plan
MEETS CRITERIA?
CMGT 400 Week 4 Learning Team Grading Rubric - Disaster Recovery and Business Continuity Plan
PTs
Grade
COMMENTS
Content (77.0 points)
Using the financial services scenario from the Week 2 and Week 3 Learning Team assignments, “Financial Service Security Engagement,” create an 8- to 10-page Disaster Recovery and Business Continuity Plan with the following:
· Determine the recovery model for your backup and recovery strategy (16pts.)
· Design the backup strategy and include a diagram to document your backup strategy. (16pts.)
· Include recovery steps in your diagram (16pts.)
· Recommend a schedule for backups (13 pts.)
· Explain how you will test your backup and recovery strategy (16pts.)
· Recovery sites
· Hot site
· Warm site
· Cold site
· Order of restoration
· Backup types
· Differential
· Incremental
· Snapshot
· Full
· Geographic considerations
· Off-site backups
· Distance
· Location selection
· Legal implications
· Legal implications
· Data sovereignty
· Continuity of operation
· Exercises
· After-action reports
· Failover
· Alternate processing sites
· Alternate business practices
Submit the assignment.
77
X out of 77
Research
Assignment has research depth including at least two outside relevant peer reviewed references from course material and/or the library.
7
Organization
Assignment is organized appropriately covering all required topics in a logical sequence. Title, introduction, body, conclusion and references are included in required sequence.
3
Mechanics, Quality and APA:
Assignment projects professional, quality image, meets academic integrity requirements. Meets APA format. Include title page and reference section. References in APA format. No spelling errors - the paper has obviously been proofread. Title and reference pages do not count toward the length requirement.
3
TOTAL POINTS FOR RESEARCH, ORGANIZATION, QUALITY, AND APA REQUIREMENTS
X out of 13
TOTAL POINTS
(X out of 90 possible points) 04-29-19 rpg
2
2
Financial Service Security Engagement
John Fulcher, LatoyaDavis, RenitaGarland, WilliamCrabb, LoganHampton Comment by Ellen Gaston: Include the names of all participating team members
CMGT 400
October 1, 2019
Financial Service Security Engagement
Customers are a critical stakeholder to every business organization across the globe. As the learning team for a financial service company specializing in sales and management of an investment portfolio for high net-worth individuals, the team has a responsibility to ensure safety. As a measure to improve confidentiality, integrity, and availability of information, the company migrated to cloud-based, customer relationship management. However, the chief information security officer (CISO) is concerned about the new system security. This ...
In digitally-connected exploration and production, enormous amounts of data are created. A single well can generate upwards of a terabyte of data daily and seismic exploration data sets can easily reach several terabytes in size. IBM Aspera software enables Chemicals & Petroleum companies to transfer large files and data sets at maximum speed, fully utilizing the available bandwidth, regardless of file type, size, transfer distance or network conditions, reducing turnaround times for gathering, processing and distribution, alleviating expensive IT infrastructure upgrades, and eliminating the need for slow, costly shipments.
The next wave of the Internet will connect machines and devices together into functioning, intelligent systems. This "Internet of Things" (IoT) will change every industry, every job, and every home. How will it impact medicine? When?
This webinar will reveal how the Internet of Things is changing medicine today by examining real applications of advanced networking technology. The applications include from 911 dispatch, EMS transport, imaging, surgery, ICU interoperability, patient safety, hospital integration, and treatment. We will discuss critical needs: finding the right data, delivering high-fidelity waveforms, integrating large hospital systems, ensuring EMR accuracy, and guarding sensitive information.
To keep assets operating optimally, your entire team needs to be connected with accurate and up-to-date asset information.
OnPlan is designed to bring workforces together by allowing easy communication across departments. It closes the loop on updates and feedback, breaking down silos and making sure your asset management teams have access to the latest information, from the office to the field.
Data drives innovation in the life sciences. Collaborative teams in biomedical research, pharmacology, academia, government and national laboratories need to quickly and efficiently exchange and process vast amounts of data. New research technologies – in particular, next-generation genomic sequencing – create tens of gigabytes of data for each experimental run. Supporting the movement of these huge data sets, Aspera software provides breakthrough high-speed file transfer across the globe for projects which serve up vast public databases for the study of human genomic variation. Scientific users enjoy familiar Unix-style interfaces, embeddable APIs and user-friendly web and desktop GUIs.
Maximo has traditionally been a very powerful maintenance management tool, but with pressures from a new younger workforce and competing products, there are a lot of new and exciting investment areas coming up for 2016.
Faststream’s Predictive maintenance platform uses condition-monitoring equipment to evaluate an asset’s performance in real-time in the manufacturing Industries. Using our Predictive maintenance for industry 4.0 we were able to prevent asset failure of various Factories and Manufacturing Companies. By analyzing production data to identify patterns and predict issues before they happen.
Using our IoT based Predictive Maintenance Solutions the Factory managers and machine operators can carry out scheduled maintenance and regularly repaired machine parts to prevent downtime. Our IoT allows for different assets and systems to connect, work together, share, analyze, and make actionable decisions on the data.
Faststream's Predictive Maintenance on Factory Maintenance helps maintenance managers and manufacturers to predict the likelihood of future failures and determine asset failure factors that could impact elevator operations. By incorporating Faststream Technologies IoT gateway, sensor node, and Microsoft Azure/AWS/Thinkspace Cloud platform, our solution can entitle with data statistics, state monitoring, fault alarming, remote management, maintenance supervision, emergency response advertisement placement, and other features.
In digitally-connected exploration and production, enormous amounts of data are created. A single well can generate upwards of a terabyte of data daily and seismic exploration data sets can easily reach several terabytes in size. IBM Aspera software enables Chemicals & Petroleum companies to transfer large files and data sets at maximum speed, fully utilizing the available bandwidth, regardless of file type, size, transfer distance or network conditions, reducing turnaround times for gathering, processing and distribution, alleviating expensive IT infrastructure upgrades, and eliminating the need for slow, costly shipments.
The next wave of the Internet will connect machines and devices together into functioning, intelligent systems. This "Internet of Things" (IoT) will change every industry, every job, and every home. How will it impact medicine? When?
This webinar will reveal how the Internet of Things is changing medicine today by examining real applications of advanced networking technology. The applications include from 911 dispatch, EMS transport, imaging, surgery, ICU interoperability, patient safety, hospital integration, and treatment. We will discuss critical needs: finding the right data, delivering high-fidelity waveforms, integrating large hospital systems, ensuring EMR accuracy, and guarding sensitive information.
To keep assets operating optimally, your entire team needs to be connected with accurate and up-to-date asset information.
OnPlan is designed to bring workforces together by allowing easy communication across departments. It closes the loop on updates and feedback, breaking down silos and making sure your asset management teams have access to the latest information, from the office to the field.
Data drives innovation in the life sciences. Collaborative teams in biomedical research, pharmacology, academia, government and national laboratories need to quickly and efficiently exchange and process vast amounts of data. New research technologies – in particular, next-generation genomic sequencing – create tens of gigabytes of data for each experimental run. Supporting the movement of these huge data sets, Aspera software provides breakthrough high-speed file transfer across the globe for projects which serve up vast public databases for the study of human genomic variation. Scientific users enjoy familiar Unix-style interfaces, embeddable APIs and user-friendly web and desktop GUIs.
Maximo has traditionally been a very powerful maintenance management tool, but with pressures from a new younger workforce and competing products, there are a lot of new and exciting investment areas coming up for 2016.
Faststream’s Predictive maintenance platform uses condition-monitoring equipment to evaluate an asset’s performance in real-time in the manufacturing Industries. Using our Predictive maintenance for industry 4.0 we were able to prevent asset failure of various Factories and Manufacturing Companies. By analyzing production data to identify patterns and predict issues before they happen.
Using our IoT based Predictive Maintenance Solutions the Factory managers and machine operators can carry out scheduled maintenance and regularly repaired machine parts to prevent downtime. Our IoT allows for different assets and systems to connect, work together, share, analyze, and make actionable decisions on the data.
Faststream's Predictive Maintenance on Factory Maintenance helps maintenance managers and manufacturers to predict the likelihood of future failures and determine asset failure factors that could impact elevator operations. By incorporating Faststream Technologies IoT gateway, sensor node, and Microsoft Azure/AWS/Thinkspace Cloud platform, our solution can entitle with data statistics, state monitoring, fault alarming, remote management, maintenance supervision, emergency response advertisement placement, and other features.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
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
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
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.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
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).
1. Setting the strategy
As part of a business transformation strategy focused on
optimising asset performance in the plant, AWE set out to
assess and improve its asset base to ensure facilities were
operating at maximum efficiency.
Getting business specific
In order to deliver against this strategy, AWE required
capabilities which built upon those of its previous computerised
maintenance management system (CMMS) asset management
system and enabled the organisation greater visibility of
asset-related information. This improved visibility would then
enable the defence manufacturer to better support complex
assets and resource structures, extend the life-cycle of
equipment, and improve productivity.
“We had a long standing relationship with Infor™ having used its
Datastream asset management product for a number of years.
We therefore had the confidence that upgrading to the latest
version–Infor EAM–would enable us to achieve our ambitions
whilst ensuring a fast, easy deployment.”
Upgrading to Infor EAM meant that AWE would benefit from a
comprehensive, industry specific solution grounded in the
defence industry with both breadth and depth of capabilities.
For example, through providing links to CAD drawings of assets
via Infor EAM’s OpenCAD capabilities, 360 degree, highly
detailed information on assets could be viewed, supporting risk
and compliance.
The ability to schedule complex resources was also key.
Utilising third party application ClickSoftware, Infor EAM
demonstrated the ability to help AWE apply enhanced
scheduling capabilities to optimise route planning in
logistics operations, as well as improving the scheduling
of 600 engineers. This in turn, would help reduce AWE’s carbon
footprint while maximising resources.
“Infor EAM’s flexibility and ability to scale were compelling, and
the application contained everything we needed to support
preventative maintenance, detection and notification of
breakdowns, the scheduling and prioritisation of engineers, and
management of spare parts inventories,” Chapman adds.
Facts at a glance
Products: Infor EAM Asset Sustainability, Infor
EAM Enterprise, Infor EAM Advanced Mobile,
Infor EAM Barcoding, Infor EAM Calibration,
Infor EAM Inventory Management, Infor EAM
Advanced Mobile, Infor EAM GIS Module, Infor
EAM Advanced Reporting, Infor EAM
Advanced Barcoding, Infor EAM Inspections,
Infor EAM Energy Performance Management,
Infor EAM RCM Optimizer+ MV, Infor EAM
Service Optimization - ClickSchedule IMRS
and Mobile, Infor EAM Reliability Planning and
Analysis, Infor ION, EPAK, Infor Workspace.
Industry: Defense
Country: UK
About AWE
AWE manufactures and maintains the
warheads for the UK’s nuclear deterrent,
Trident, a submarine-launched, inter-
continental ballistic nuclear missile weapons
system, carried by Royal Navy Vanguard-class
submarines. With 4,500 staff and over
2,000 contractors, AWE’s work covers the
entire life cycle of nuclear warheads; from
initial concept, assessment and design,
through to component manufacture and
assembly, in-service support, and finally
decommissioning and disposal.
Customer Profile
AWE controls risks, boosts productivity
with Infor EAM