Agile Project Management is a value-driven approach that allows project managers to deliver high quality work and products to the stakeholders. It focuses on constant improvement, scope flexibility, team input to deliver quality products to the clients.
Agile Project Management is a value-driven approach that allows project managers to deliver high quality work and products to the stakeholders. It focuses on constant improvement, scope flexibility, team input to deliver quality products to the clients.
Software quality system - Quality EngineeringYash Trivedi
We discuss software quality systems of quality engineering in the area of software project management.
Organisations and technologies such as iso , cmmi and six sigma are discussed.
UpRaise is the only context aware, full stack app that seamlessly integrates with
daily workflows of software development teams. Its “Re-architect Work”
principle guides teams towards excellence through improved overall efficiency
of people operations, better alignment to the organisation’s larger goals, increased
engagement and improved transparency.
Learn More: https://upraise.io/agile-performance-management-add-jira/
Feature Prioritization Techniques for an Agile PMs by Microsoft PMProduct School
Main takeaways:
-PMs don't need a lot of data points to prioritize the features for the upcoming sprint. They just need to identify the relevant one's.
-PMs should be skilled to strike the balance between agility in making decisions and accuracy of perceived outcomes
-PMs should be able to prioritize the feature requests with minimum data points available and optimum techniques
Software quality system - Quality EngineeringYash Trivedi
We discuss software quality systems of quality engineering in the area of software project management.
Organisations and technologies such as iso , cmmi and six sigma are discussed.
UpRaise is the only context aware, full stack app that seamlessly integrates with
daily workflows of software development teams. Its “Re-architect Work”
principle guides teams towards excellence through improved overall efficiency
of people operations, better alignment to the organisation’s larger goals, increased
engagement and improved transparency.
Learn More: https://upraise.io/agile-performance-management-add-jira/
Feature Prioritization Techniques for an Agile PMs by Microsoft PMProduct School
Main takeaways:
-PMs don't need a lot of data points to prioritize the features for the upcoming sprint. They just need to identify the relevant one's.
-PMs should be skilled to strike the balance between agility in making decisions and accuracy of perceived outcomes
-PMs should be able to prioritize the feature requests with minimum data points available and optimum techniques
This portfolio summarises the key aspects of product launch covered in the Mello product case study, such as product validation, roadmap creation, pre-launch communication planning, product launch checklist, MVP strategy development, Crazy 8 sketches, product strategy implementation, product signals, moats, bets, metrics, launch strategies, and AARRR metric product performance evaluation. To access the full case study, click here: https://www.jademediapro.com/projects#casestudy
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.
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.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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/
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
1. Ayushy Pathak
Mumbai, 400078 INDIA
CELL - 7406818914 •E-MAIL Ayushy.pathak85@gmail.com
PROFILE:
Workingin a team of 4 members, my main tasks involveQuality Performanceof the team, Mentoring, Team
Management, Business Process Management, Operational excellence,Template Development/Maintenance,
documentation Readiness/SharePointMaintenance,Product maintenance, Product releaseCheck sign off on
behalf of operation’s end. Implemented HRMS which reduced workload of HR team from 1 day to 1 hour.
Proficient in: Excel, My SQL, Google Analytics,Data basemanagement, Product requirement document, Project
Management.
EXPERIENCE:
1) TRENDSUTRA PLATFORM LTD (PEPPERFRY.COM) – ASSISTANT PRODUCT MANAGER
JULY 2016 – TILL DATE
MUMBAI, India - 2016 – 2017,Product Management
Roles and Responsibilities:
Interact with the Stakeholder about the requirements.
Prepare a Product releaseDocument based on the requirements.
This document consists of the frame of the new release which acts as a body of action for the developers and
Quality analysts.
Explain and distributethe same to the developers and QA's and decide a deadlinefor the date of delivery of the
product (i.e either a module within the existingproduct).
Followup with the tech team about the delivery and progress.
Product person will review the Product.
Also,will check the same in UAT and see if anythingneeds to be improved.
Will decidethe date for a ‘Go-live’ of the feature.
Communication to the operation team for the same.
Trainingthe operation team about the new release.
Process optimization with the recent updates in the system.
Impact of the releasein terms of costand time saving.
Additional responsibilities:
Handlingescalationsof product.
Decidingroad-map for every quarter.
Prioritizing the task based on team availability.
2) PRACTO TECHNOLOGIES PVT LTD – PRODUCT ANALYST
Mar 2015- July 2016
BANGALORE, india-2015-2016,ProductManagement
Roles and Responsibilities:
Ensuringthe team delivers quality and timely Reporting and Monitoringon all technical information fromall the
products based on both Web and Mobileplatform. Handlingescalationsand ensuringthe smooth functionality of
2. the product as well as process.Signingoff the Product releases from the Product team’s end. Supervisingthe
work efficiency of L1 associates and floor supervisors.ConductingProductand Process trainings for operation’s
associates.
PreparingProductrelease document.
Implemented HRMS which reduced workload of HR team from 1 day to 1 hour.
Handlingthe Product’s operational activities.
Optimization of Team Productivity atcluster team level
Collectand prioritizeescalations,task and activities
Manage communication of the cluster with strategic importantentities likeProduct Divisions,Marketing.
Providesolutions for problems and requests comingfrom Practo Entities (Marketing, Sales,Technical
Consultants,Business Engineers) or Practo Partners.
Manage technical escalation processwith divisionsif appropriate
Provideagents (1L,) from Business Partners (via clusters,mentors,supervisors) with relevantexpertise and
information to be ableto provide quality supportand thus improve customer satisfaction and reducecosts
ProvidePracto divisionsor other relevant Practo entities with technical supportinformation and general
technological information thatwill contributeto the success of NPI (New Product Introduction),CPE (Current
Product Engineering) and/or NPD (New ProductDesign) and the business valueof the Practo product.
F2F trainings for (NPI products) currently Virtual trainings.
IncreaseTEC Team and Cluster visibility towards (potential) internal customers.
Create / Update support documents, based on solutions found from root causeanalysis& findings.
Contribute towards IncreasingtheTEC Team value.
EDUCATION:
Bachelor of Engineering, Computer Science
Chhattisgarh Swami Technical University, Raipur, 2015
Cumulative major GPA: 9.12/10
