Agile Mumbai 2023 | AI-Powered Agility: A New Era of Sustainable Business Inn...AgileNetwork
Dinesh Sharma will present on integrating AI and agile project management. He will discuss how AI can enhance agile practices like sprint planning, daily standups, and retrospectives by automating tasks and providing data-driven insights. AI can also be applied in scaled agile frameworks to assist with capacity planning, risk analysis, and test automation. When applying project management to AI projects, agile methods help deal with the complexity and uncertainty of AI work. Sprints allow AI models to be developed iteratively with customer feedback. Overall, AI and agile complement each other by enabling more efficient, collaborative project management.
Unleashing Potential - AI Augmented Software Development.pdfSeasiaInfotech2
Augmented AI development results in personalizing and making web and mobile applications more dynamic. The design process itself gets AI integrated, and with it, developers can now come up with interfaces that are more instinctive and user conducive.
Agile Kolkata 2023 I AI Powered Agile: The Key to Success in a Changing World...AgileNetwork
The document discusses applying artificial intelligence (AI) to agile project management. It describes how AI can enhance various agile practices like sprint planning, daily stand-ups, and retrospectives by automating tasks, providing insights from data analysis, and suggesting improvements. A case study shows how one organization saw improvements like increased sprint goal compliance and velocity by integrating AI tools into their scrum process. The document also discusses how applying project management practices can help structure complex AI projects, and outlines key steps like gathering data, choosing algorithms, and deploying models over multiple sprints with feedback loops. In conclusion, the document argues that AI and agile mutually enhance each other to enable more efficient, collaborative project management.
Imagine a project management world where time-consuming administrative tasks are effortlessly automated. Imagine streamlined team collaboration which maximizes your internal productive potential. AI in Project Management revolutionizes traditional PM practices. Originally published on https://writeme.ai/blog/ai-project-management/
AI Project Management and Workflow Automation.pdfTopLinkSeo
The document discusses how AI is revolutionizing project management, workflow automation, and team collaboration. It describes how AI enhances efficiency, data-driven decision making, and predictive analytics in project management. AI powers automated project planning, real-time monitoring, and intelligent resource allocation. For workflow automation, AI handles repetitive tasks to reduce errors and adapt to changes. When combined with AI project management, workflow automation streamlines documentation and collaboration. The document also explains how AI improves communication, task coordination, and idea generation to enhance team performance. Real-world examples demonstrate benefits like reduced timelines and increased productivity and innovation.
The document compares and analyzes various project management software tools available on the market. It provides an overview of Primavera, a comprehensive enterprise project management software, and compares its features to Microsoft Project. It also explores free and open source alternatives like Asana, Wrike, and Bitrix24 that could potentially substitute Basecamp, in use at the University. The document recommends Microsoft Project and Basecamp for their cost-effectiveness for the University's needs but introduces students to other tools as well.
Agile Gurugram 2023 I Elevating Agile Teams with Generative AI- Paramjit JollyAgileNetwork
The document discusses how generative AI can augment each stage of the agile development process. It begins with an introduction to generative AI and examples of generative AI tools. It then outlines how common agile roles and stages such as product backlog creation, sprint planning, execution, and retrospectives can be enhanced with generative AI capabilities like automated documentation and code generation. Key metrics for measuring the impact of generative AI integration are presented, followed by recommended steps for developing an AI strategy and common challenges to address. The document emphasizes that generative AI can automate tasks, provide insights, and optimize processes to help agile teams focus on more complex problems.
The Future of Software Exploring AI Machine Learning and BeyondPolyxer Systems
The software development world is already changing with continuous technological advancement. And now, with the evolution of Artificial Intelligence and Machine Learning, it’s changing even faster.
Agile Mumbai 2023 | AI-Powered Agility: A New Era of Sustainable Business Inn...AgileNetwork
Dinesh Sharma will present on integrating AI and agile project management. He will discuss how AI can enhance agile practices like sprint planning, daily standups, and retrospectives by automating tasks and providing data-driven insights. AI can also be applied in scaled agile frameworks to assist with capacity planning, risk analysis, and test automation. When applying project management to AI projects, agile methods help deal with the complexity and uncertainty of AI work. Sprints allow AI models to be developed iteratively with customer feedback. Overall, AI and agile complement each other by enabling more efficient, collaborative project management.
Unleashing Potential - AI Augmented Software Development.pdfSeasiaInfotech2
Augmented AI development results in personalizing and making web and mobile applications more dynamic. The design process itself gets AI integrated, and with it, developers can now come up with interfaces that are more instinctive and user conducive.
Agile Kolkata 2023 I AI Powered Agile: The Key to Success in a Changing World...AgileNetwork
The document discusses applying artificial intelligence (AI) to agile project management. It describes how AI can enhance various agile practices like sprint planning, daily stand-ups, and retrospectives by automating tasks, providing insights from data analysis, and suggesting improvements. A case study shows how one organization saw improvements like increased sprint goal compliance and velocity by integrating AI tools into their scrum process. The document also discusses how applying project management practices can help structure complex AI projects, and outlines key steps like gathering data, choosing algorithms, and deploying models over multiple sprints with feedback loops. In conclusion, the document argues that AI and agile mutually enhance each other to enable more efficient, collaborative project management.
Imagine a project management world where time-consuming administrative tasks are effortlessly automated. Imagine streamlined team collaboration which maximizes your internal productive potential. AI in Project Management revolutionizes traditional PM practices. Originally published on https://writeme.ai/blog/ai-project-management/
AI Project Management and Workflow Automation.pdfTopLinkSeo
The document discusses how AI is revolutionizing project management, workflow automation, and team collaboration. It describes how AI enhances efficiency, data-driven decision making, and predictive analytics in project management. AI powers automated project planning, real-time monitoring, and intelligent resource allocation. For workflow automation, AI handles repetitive tasks to reduce errors and adapt to changes. When combined with AI project management, workflow automation streamlines documentation and collaboration. The document also explains how AI improves communication, task coordination, and idea generation to enhance team performance. Real-world examples demonstrate benefits like reduced timelines and increased productivity and innovation.
The document compares and analyzes various project management software tools available on the market. It provides an overview of Primavera, a comprehensive enterprise project management software, and compares its features to Microsoft Project. It also explores free and open source alternatives like Asana, Wrike, and Bitrix24 that could potentially substitute Basecamp, in use at the University. The document recommends Microsoft Project and Basecamp for their cost-effectiveness for the University's needs but introduces students to other tools as well.
Agile Gurugram 2023 I Elevating Agile Teams with Generative AI- Paramjit JollyAgileNetwork
The document discusses how generative AI can augment each stage of the agile development process. It begins with an introduction to generative AI and examples of generative AI tools. It then outlines how common agile roles and stages such as product backlog creation, sprint planning, execution, and retrospectives can be enhanced with generative AI capabilities like automated documentation and code generation. Key metrics for measuring the impact of generative AI integration are presented, followed by recommended steps for developing an AI strategy and common challenges to address. The document emphasizes that generative AI can automate tasks, provide insights, and optimize processes to help agile teams focus on more complex problems.
The Future of Software Exploring AI Machine Learning and BeyondPolyxer Systems
The software development world is already changing with continuous technological advancement. And now, with the evolution of Artificial Intelligence and Machine Learning, it’s changing even faster.
be10x - AI Tools Mastery Program (2) (4) (1) (1).pdfNeelimaMeermira2
The Be10x AI Tools Mastery Program is a 100-day program aimed at helping working professionals enhance their skills and productivity using AI tools. The program covers 12 modules on using AI tools in various aspects of professional life. It includes 50 hours of recorded content and weekly live sessions. The goal is to help participants become 10 times more efficient in their work through mastery of AI tools.
Kunal Desai is seeking a role that allows him to explore latest technologies in information technology and process management. He has an MBA in IT with a focus on software process management and a bachelor's degree in computer engineering. His work experience includes roles as a trainee UI developer, quality analyst intern, and his current role as a senior software quality adviser. In his academic and professional projects, he has experience in roles like business analyst, UI developer, and quality analyst. He is proficient in technologies like Bootstrap, HTML, Ruby on Rails, and has certifications in computer programming and Linux. Outside of work, he enjoys cricket, chess and travelling.
This document is a curriculum vitae for Anuj Gupta that outlines his professional experience and technical skills. It summarizes that he has over 7 years of experience as an IT consultant providing strategic guidance to clients. He has worked as a team leader and senior engineer on various projects for companies like Newgen Software, Infosys, RBS Services, and Airtel. His technical skills include languages like Java, XML, and SQL as well as frameworks like Hibernate, RESTful web services, and Hadoop. He also has experience in data analytics using tools like R, machine learning algorithms, and natural language processing.
RPA Consultant Certified in UiPath and Automation Anywhere Pranay Sagar
Techno-functional professional with a decade of IT experience focusing on delivering innovative business solutions and a strategic problem-solver who seamlessly works across all levels of the organization.
Experienced RPA Developer with a demonstrated history of working in the information technology and services industry. Skilled in Robotic Process Automation (Uipath), SQL, IT Consulting, Agile Methodologies and Implementation Experience.
Expert in RPA consulting, process documentation, design, development, testing and implementation.
UiPath, Automation Anywhere
Read Curriculum vitae of Shwetabh Kumar as Project Manager at Deloitteshwetabhkumar
Hello, My name is Shwetabh Kumar and I am from Hyderabad. Presently I am associated with Deloitte Company as a Project Manager. Skilled in designing and developing modules/products, managing and tracking project execution, executing test scenarios, releasing products to production.
In today's fast-paced and complex business environment, project management has become a critical aspect of ensuring success. Project managers need efficient tools to plan, execute, and track their projects effectively. This is where Project Management Professional (PMP) software comes into play. PMP software offers a wide range of features and functionalities that streamline project management processes, enhance collaboration, and improve overall productivity. In this article, we will explore the 9 best PMP software options available in 2023, highlighting their key features and benefits.
This document provides information about Brainbean Apps, a software development company. It discusses their services which include product strategy, building, and growth. They have expertise in industries like IoT, smart home, social media apps, and more. Brainbean Apps aims to help clients deliver digital products through their full development process and years of experience bringing products to market.
Pritesh Gandhi is a technical architect with over 12 years of experience in technologies like AI, RPA, bots, Azure cognitive services, and DevOps. He has extensive experience designing architectures and leading projects for organizations in various domains. Some of the major projects he has worked on include developing an Alexa-based smart DevOps solution, an AI chatbot for customer support, and porting a SharePoint 2010 application to SharePoint 2013. Currently he is seeking new opportunities to apply his skills and experience in Microsoft services.
1. The document describes an automatic graphical design generator system that takes a program file as input and generates a graphical design of the program without requiring the user to have knowledge of the program.
2. It aims to reduce the time and effort required to manually create graphical designs by dragging and dropping symbols. The proposed system can generate designs for programs written in languages like Java as long as the program is logically and syntactically correct.
3. Graphical designs provide an easy way to understand complex programs for students and software testers. The automatic generation of designs from code can also assist with reverse engineering programs where the code is available but a design is needed.
Progressive system engineer with 8 years of hands-on experience developing and implementing innovative software
products and solutions that significantly increase productivity and profitability. Adept at delivering high-quality products
while establishing solid analytical and problem solving abilities. Skilled using Core Java, PHP, OOP, Design Patterns,
SOA, Data Structure / Algorithms, JavaScript, jQuery, CSS, XML, HTML, JSON, MySQL, Oracle, and Informix while
leading comprehensive software development. Experienced in implementing application through entire Software
Development Life Cycle.
Progressive system engineer with 8 years of hands-on experience developing and implementing innovative software
products and solutions that significantly increase productivity and profitability. Adept at delivering high-quality products
while establishing solid analytical and problem solving abilities. Skilled using Core Java, PHP, OOP, Design Patterns,
SOA, Data Structure / Algorithms, JavaScript, jQuery, CSS, XML, HTML, JSON, MySQL, Oracle, and Informix while
leading comprehensive software development. Experienced in implementing application through entire Software
Development Life Cycle.
This document is a resume for Manjeet Kumar seeking a position in software automation testing. It summarizes his 2+ years of experience in Selenium automation testing, proficiency in Java and developing automation frameworks using Selenium WebDriver, JUnit, ANT, and experience with projects in CRM and billing software testing. It provides details on his education, skills, technical expertise, and work history at Nouveau Technologies as a Software Test Automation Engineer.
The document provides a summary of Soundararajan Srinivasan's professional profile and experience. It outlines his 16 years of experience in enterprise projects, strategies, and roadmaps, with a focus on banking, credit cards, acquisitions, and wealth management domains. It also lists his technical skills and areas of expertise, which include middleware, SOA, rule engines, project management, and various programming languages and tools. His professional experience includes roles as a senior architect, solution architect, and project manager for companies like Optimum Solutions and Wipro Technologies, working on projects for banks like OCBC and DBS.
This document discusses software project management and cost estimation. It outlines five basic factors that influence software project costs: size, process, personnel, environment, and required quality. An equation is provided that estimates effort based on these five factors. The document also discusses the importance of cost estimation for feasibility analysis and return on investment calculations. It describes different techniques for software cost estimation including algorithmic modeling, expert judgment, top-down, bottom-up, and estimation by analogy.
The Ultimate Guide to Top 10 Construction Management Software
Cloud-based and AI-driven construction management software has transformed construction project outcomes through improved data accessibility, real-time collaboration, automation, risk management, document management, and reporting and analytics.
The construction industry will continue to evolve at every building stage and present challenges for participants including architects, contractors, sub-contractors, project managers, and owners who would need a simple, yet influential construction management software. From the above content piece, it would become clear for you to select an appropriate construction management software that would make the required difference and deliver projects on time, budget enriched by high-quality standards.
Read More : www.ifieldsmart.com/blogs/the-ultimate-guide-to-top-10-construction-management-software
Visit: www.ifieldsmart.com
The document discusses how internal audit functions can leverage automation, AI, and other technologies to enhance their work. It begins with an overview of how the "audit of the future" may differ from today, with auditors receiving notifications of risks and using automation to complete testing. The rest of the document focuses on supporting technologies like robotic process automation and machine learning that can be used, providing examples. It also discusses how to implement these technologies in a real audit program and the typical progression to full automation. The key takeaways are that internal audit has had automation tools for years but is still in early stages for many, and the first steps to begin are to pick a starting point and define metrics before piloting changes.
PPT_Management of Large and Complex Software ProjectsSudipta Das
This document is a project report on managing large and complex software projects. It discusses the implications of large projects, challenges they present, and how to successfully implement them. It analyzes factors that contribute to software complexity and common reasons large projects fail. The report also examines tools and methodologies used to manage complex projects, including Gantt charts, PRINCE methodology, and MasterCraft software. Case studies demonstrate how companies like HP have partnered with clients like Bank of India to deliver complex projects.
Prashant Kumar has over 11 years of experience in enterprise IT, business analysis, and project management. He has worked as a Scrum Master, project coordinator, business analyst, and project manager. Some of his key skills include business analysis, requirements gathering, project management, enterprise social strategies, and Scrum. He is trained in Prince2, PMP, and CSBA methodologies. He is seeking an objective role where he can utilize his experience and skills.
Vandana Saini is a results-driven Big Data Analyst and Scientist with strong experience using novel approaches to discover insights from high-volume data. She has over 8 years of experience in data analysis and business intelligence. Currently she is a Big Data Analyst at Geotab where she manages various projects including implementing a data security and standards policy, automating big data analysis and reports, and gaining insights from real-time streaming data. She has a M.Sc. in Applied Computing from the University of Toronto and is proficient in languages such as Java, C++, SQL and tools like Tableau and IPython.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
be10x - AI Tools Mastery Program (2) (4) (1) (1).pdfNeelimaMeermira2
The Be10x AI Tools Mastery Program is a 100-day program aimed at helping working professionals enhance their skills and productivity using AI tools. The program covers 12 modules on using AI tools in various aspects of professional life. It includes 50 hours of recorded content and weekly live sessions. The goal is to help participants become 10 times more efficient in their work through mastery of AI tools.
Kunal Desai is seeking a role that allows him to explore latest technologies in information technology and process management. He has an MBA in IT with a focus on software process management and a bachelor's degree in computer engineering. His work experience includes roles as a trainee UI developer, quality analyst intern, and his current role as a senior software quality adviser. In his academic and professional projects, he has experience in roles like business analyst, UI developer, and quality analyst. He is proficient in technologies like Bootstrap, HTML, Ruby on Rails, and has certifications in computer programming and Linux. Outside of work, he enjoys cricket, chess and travelling.
This document is a curriculum vitae for Anuj Gupta that outlines his professional experience and technical skills. It summarizes that he has over 7 years of experience as an IT consultant providing strategic guidance to clients. He has worked as a team leader and senior engineer on various projects for companies like Newgen Software, Infosys, RBS Services, and Airtel. His technical skills include languages like Java, XML, and SQL as well as frameworks like Hibernate, RESTful web services, and Hadoop. He also has experience in data analytics using tools like R, machine learning algorithms, and natural language processing.
RPA Consultant Certified in UiPath and Automation Anywhere Pranay Sagar
Techno-functional professional with a decade of IT experience focusing on delivering innovative business solutions and a strategic problem-solver who seamlessly works across all levels of the organization.
Experienced RPA Developer with a demonstrated history of working in the information technology and services industry. Skilled in Robotic Process Automation (Uipath), SQL, IT Consulting, Agile Methodologies and Implementation Experience.
Expert in RPA consulting, process documentation, design, development, testing and implementation.
UiPath, Automation Anywhere
Read Curriculum vitae of Shwetabh Kumar as Project Manager at Deloitteshwetabhkumar
Hello, My name is Shwetabh Kumar and I am from Hyderabad. Presently I am associated with Deloitte Company as a Project Manager. Skilled in designing and developing modules/products, managing and tracking project execution, executing test scenarios, releasing products to production.
In today's fast-paced and complex business environment, project management has become a critical aspect of ensuring success. Project managers need efficient tools to plan, execute, and track their projects effectively. This is where Project Management Professional (PMP) software comes into play. PMP software offers a wide range of features and functionalities that streamline project management processes, enhance collaboration, and improve overall productivity. In this article, we will explore the 9 best PMP software options available in 2023, highlighting their key features and benefits.
This document provides information about Brainbean Apps, a software development company. It discusses their services which include product strategy, building, and growth. They have expertise in industries like IoT, smart home, social media apps, and more. Brainbean Apps aims to help clients deliver digital products through their full development process and years of experience bringing products to market.
Pritesh Gandhi is a technical architect with over 12 years of experience in technologies like AI, RPA, bots, Azure cognitive services, and DevOps. He has extensive experience designing architectures and leading projects for organizations in various domains. Some of the major projects he has worked on include developing an Alexa-based smart DevOps solution, an AI chatbot for customer support, and porting a SharePoint 2010 application to SharePoint 2013. Currently he is seeking new opportunities to apply his skills and experience in Microsoft services.
1. The document describes an automatic graphical design generator system that takes a program file as input and generates a graphical design of the program without requiring the user to have knowledge of the program.
2. It aims to reduce the time and effort required to manually create graphical designs by dragging and dropping symbols. The proposed system can generate designs for programs written in languages like Java as long as the program is logically and syntactically correct.
3. Graphical designs provide an easy way to understand complex programs for students and software testers. The automatic generation of designs from code can also assist with reverse engineering programs where the code is available but a design is needed.
Progressive system engineer with 8 years of hands-on experience developing and implementing innovative software
products and solutions that significantly increase productivity and profitability. Adept at delivering high-quality products
while establishing solid analytical and problem solving abilities. Skilled using Core Java, PHP, OOP, Design Patterns,
SOA, Data Structure / Algorithms, JavaScript, jQuery, CSS, XML, HTML, JSON, MySQL, Oracle, and Informix while
leading comprehensive software development. Experienced in implementing application through entire Software
Development Life Cycle.
Progressive system engineer with 8 years of hands-on experience developing and implementing innovative software
products and solutions that significantly increase productivity and profitability. Adept at delivering high-quality products
while establishing solid analytical and problem solving abilities. Skilled using Core Java, PHP, OOP, Design Patterns,
SOA, Data Structure / Algorithms, JavaScript, jQuery, CSS, XML, HTML, JSON, MySQL, Oracle, and Informix while
leading comprehensive software development. Experienced in implementing application through entire Software
Development Life Cycle.
This document is a resume for Manjeet Kumar seeking a position in software automation testing. It summarizes his 2+ years of experience in Selenium automation testing, proficiency in Java and developing automation frameworks using Selenium WebDriver, JUnit, ANT, and experience with projects in CRM and billing software testing. It provides details on his education, skills, technical expertise, and work history at Nouveau Technologies as a Software Test Automation Engineer.
The document provides a summary of Soundararajan Srinivasan's professional profile and experience. It outlines his 16 years of experience in enterprise projects, strategies, and roadmaps, with a focus on banking, credit cards, acquisitions, and wealth management domains. It also lists his technical skills and areas of expertise, which include middleware, SOA, rule engines, project management, and various programming languages and tools. His professional experience includes roles as a senior architect, solution architect, and project manager for companies like Optimum Solutions and Wipro Technologies, working on projects for banks like OCBC and DBS.
This document discusses software project management and cost estimation. It outlines five basic factors that influence software project costs: size, process, personnel, environment, and required quality. An equation is provided that estimates effort based on these five factors. The document also discusses the importance of cost estimation for feasibility analysis and return on investment calculations. It describes different techniques for software cost estimation including algorithmic modeling, expert judgment, top-down, bottom-up, and estimation by analogy.
The Ultimate Guide to Top 10 Construction Management Software
Cloud-based and AI-driven construction management software has transformed construction project outcomes through improved data accessibility, real-time collaboration, automation, risk management, document management, and reporting and analytics.
The construction industry will continue to evolve at every building stage and present challenges for participants including architects, contractors, sub-contractors, project managers, and owners who would need a simple, yet influential construction management software. From the above content piece, it would become clear for you to select an appropriate construction management software that would make the required difference and deliver projects on time, budget enriched by high-quality standards.
Read More : www.ifieldsmart.com/blogs/the-ultimate-guide-to-top-10-construction-management-software
Visit: www.ifieldsmart.com
The document discusses how internal audit functions can leverage automation, AI, and other technologies to enhance their work. It begins with an overview of how the "audit of the future" may differ from today, with auditors receiving notifications of risks and using automation to complete testing. The rest of the document focuses on supporting technologies like robotic process automation and machine learning that can be used, providing examples. It also discusses how to implement these technologies in a real audit program and the typical progression to full automation. The key takeaways are that internal audit has had automation tools for years but is still in early stages for many, and the first steps to begin are to pick a starting point and define metrics before piloting changes.
PPT_Management of Large and Complex Software ProjectsSudipta Das
This document is a project report on managing large and complex software projects. It discusses the implications of large projects, challenges they present, and how to successfully implement them. It analyzes factors that contribute to software complexity and common reasons large projects fail. The report also examines tools and methodologies used to manage complex projects, including Gantt charts, PRINCE methodology, and MasterCraft software. Case studies demonstrate how companies like HP have partnered with clients like Bank of India to deliver complex projects.
Prashant Kumar has over 11 years of experience in enterprise IT, business analysis, and project management. He has worked as a Scrum Master, project coordinator, business analyst, and project manager. Some of his key skills include business analysis, requirements gathering, project management, enterprise social strategies, and Scrum. He is trained in Prince2, PMP, and CSBA methodologies. He is seeking an objective role where he can utilize his experience and skills.
Vandana Saini is a results-driven Big Data Analyst and Scientist with strong experience using novel approaches to discover insights from high-volume data. She has over 8 years of experience in data analysis and business intelligence. Currently she is a Big Data Analyst at Geotab where she manages various projects including implementing a data security and standards policy, automating big data analysis and reports, and gaining insights from real-time streaming data. She has a M.Sc. in Applied Computing from the University of Toronto and is proficient in languages such as Java, C++, SQL and tools like Tableau and IPython.
Similar to GenAI Tools for PMs GenAI Tools for PMs.pdf (20)
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
2. 2
Generative AI Overview for Project Managers | Resources
PROJECT MANAGER CO-PILOT
A sophisticated large language model residing on a dedicated OpenAI
instance and utilizing the advanced GPT architecture
Designed by PMI to deliver accurate and trustworthy solutions to user
inquiries related to project management
Smart navigation to the most relevant, up-to-date best practices that will
elevate project success
A growing library of over 14,000 pieces of content that have been vetted
by PMI members and project management leaders around the globe
Cited original content sources for fast and easy validation
Recommended prompts for deeper exploration and real-time discussions
via PMI Infinity’s chat interface
PMI Infinity
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Click on the product name
visit the tool’s
marketing page
A project manager AI co-pilot is a sophisticated software application designed to support project
managers in various tasks related to planning, executing, monitoring, and controlling projects.
PLANNING
Generates diagrams (Gantt charts and network diagrams)
Generates project timelines, dependencies, and progress visualization
Diagrams: Show Me
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Generative AI (GenAI) offers project practitioners significant support during the project planning phase
by automating tasks, analyzing historical data, and providing valuable insights. Through its ability to
generate preliminary project plans, optimize resource allocation, assess risks, and predict outcomes,
GenAI streamlines the planning process and enhances decision-making.
3. 3
Generative AI Overview for Project Managers | Resources
GenAI supports efficiencies in time and cost management by automating calculations, optimizing schedules,
and predicting risks. It ensures better estimations, cost savings, and on-time project delivery through data
analysis and forecasting capabilities.
TIME AND COST MANAGEMENT
Generates clear explanations and recommendations
Offers business insights
Generates advanced formulas to streamline the work processes at scale
Smartsheet
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In the project control phase, GenAI can help you continuously monitor progress, analyze real-time data,
identify risks, optimize resource allocation, and provide actionable insights for data-driven decision-making to
facilitate efficient project management and successful delivery.
CONTROL MANAGEMENT
Streamlines work processes for maximum efficiency
Allows you to easily visualize priorities and maintain control of your projects
Wrike
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GenAI design automates and produces multiple prototype options based on project requirements,
helping you explore various possibilities quickly, fostering creativity, and identifying innovative solutions.
PROTOTYPING
Generates 3D designs
Streamlines product development
Supports sketching, freeform modeling, surface modelling, and more
Autodesk Fusion 360
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Enables interactive software models
Simulation-driven design tool
Ansys SimAI
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4. 4
Generative AI Overview for Project Managers | Resources
GenAI tools provide valuable advantages for workflow management and automation. These tools automate
repetitive tasks, generate intelligent recommendations, and facilitate decision-making, allowing you to focus on
higher-value activities and deliver project outcomes.
WORKFLOW MANAGEMENT
AND AUTOMATION
Generates dependency reports from project plans
Tracks progress on dependencies
Identifies potential risks
Ensures properly formatted and structured content
Predicts project data
Generates action items and insights
ClickUp Brain
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Generative image, text, and code generation tools are valuable assets if you want to improve productivity,
creativity, and communication. These tools are not specific to project management, but the value they bring to
the profession is notable.
IMAGE, TEXT, CODE GENERATION
Understands more complex and nuanced prompts
Exhibits human-level performance
GPT-4
Continued on next page
Generative AI tools offer several advantages for risk management in project management by processing
and analyzing large volumes of data, identifying patterns and correlations, and generating accurate risk
assessments. These tools help project managers identify known and unknown risks, quantify their potential
impact, and develop proactive effective risk mitigation strategies.
RISK MANAGEMENT
Intelligent issue tracking
Predictive analysis
Automating tasks
Risk identification
Efficient resource management
ChatGPT AI Assistant
for Jira
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Generative AI Overview for Project Managers | Resources
Generative writing co-pilot help save time and effort and produce high-quality documents. They increase
productivity by automating tasks such as writing, editing, and translating; they find errors and inconsistencies
and improve communication and document quality.
WRITING CO-PILOT
Assists with spelling and grammar, clarity, and readability
Generates text in a variety of styles, including technical, creative,
and conversational
Generates code in various programming languages
Jasper
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Creates multiple content types with templates
Includes a text editor
Copy AI
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Creates realistic and imaginative scenes from text instructions
Sora —
Writes code
Suggests lines or blocks of code to increase efficiency
GitHub Copilot
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Creates studio-quality videos with AI avatars and voiceovers in
130+ languages.
Synthesia
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Offers users immediate answers to questions, relevant sources and
citations, and contextual responses
Perplexity AI
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Generates better and more photorealistic images
Rejects improper inputs to prevent inappropriate outputs
DALL-E 3
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Generative AI Overview for Project Managers | Resources
Chatbots can help you automate tasks such as creating status reports, sending email, answering questions,
generating ideas, and translating documents. Although not strictly a project management tool, these popular
GenAI tools kickstart productivity, save time, and generate ideas.
CREATIVE WRITING
Excels in comprehending and responding to complex and challenging queries
Being a part of Google, has access to recent web information
Demonstrates advanced critical thinking capabilities.
Gemini by Google
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Generates human-like text
Facilitates language translation
Crafts diverse forms of creative content
Provides informative responses to queries
ChatGPT by OpenAI
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Generative reading co-pilot efficiently process and summarize large volumes of project-related documents,
research papers, and reports. These AI tools can extract relevant information, generate concise summaries,
and highlight key insights, enabling you quickly grasp essential details, make informed decisions, and stay
updated on project progress without spending excessive time on reading and analysis.
READING CO-PILOT
Summarizes long text
Organizes knowledge
Scholarcy
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Summarizes long documents
Explains complex concepts
Finds key information in seconds
ChatDOC
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