This is the Dissertation Part-I in support of my intended research work. It has presentation in support of my research methodology, timelines and expected results
Bhadale group of companies on-premise services catalogueVijayananda Mohire
This is our offering for the On-premise cloud services. We have a wide range of services that assist clients in adopting cloud technologies right at their premise.
This is our offering for design of cloud ecosystems based on various client needs that includes domain, business needs, corporate governance, data policies, compliance etc
This is our offer for GCP projects and consultation. We offer various programs and projects that enable clients to migrate to Google Cloud seamlessly and without wasted time or effort. We offer industrial licensed engineers to take care of total solutions from hardware, software, network and virtualization environment
This is our brief introduction to Bhadale IT, a startup with a keen desire to bring forth our large set of projects to the market, engage with interested parties in helping them to adopt and gain better productivity using emerging technologies
Mani Sagar is an ETL Sr Developer and Lead with over 8 years of experience in designing, developing, and maintaining large enterprise applications. He has expert knowledge of ETL technologies like Informatica and data management processes including data migration, profiling, quality, security, and warehousing. He has led teams of up to 8 developers and delivered projects on time for clients across various industries.
Sutedjo menjelaskan secara singkat mengenai sistem ERP SAP, beserta dengan manfaat yang diberikan seperti mampu menurunkan biaya inventory sebesar 20%, mempercepat proses bisnis sampai 50% dan mengurangi biaya TCO sampai 30%. Sutedjo juga menjelaskan mengenai pembagian tanggungjawab antara provider dengan konsumen ketika menjalankan SAP secara on-premise, hosted, dan menjalankan keseluruhan sistem di cloud.
This document discusses Real-Time Innovations' (RTI) role in enabling systems interoperability. It provides examples of how RTI's middleware allows different systems and components to work together in applications such as military systems, industrial control systems, medical devices, and more. The document also describes RTI's standards-based approach and its vision for open interoperable architectures like FACE (Future, Agile, Composable Environment) that enable reuse across platforms.
Bhadale group of companies on-premise services catalogueVijayananda Mohire
This is our offering for the On-premise cloud services. We have a wide range of services that assist clients in adopting cloud technologies right at their premise.
This is our offering for design of cloud ecosystems based on various client needs that includes domain, business needs, corporate governance, data policies, compliance etc
This is our offer for GCP projects and consultation. We offer various programs and projects that enable clients to migrate to Google Cloud seamlessly and without wasted time or effort. We offer industrial licensed engineers to take care of total solutions from hardware, software, network and virtualization environment
This is our brief introduction to Bhadale IT, a startup with a keen desire to bring forth our large set of projects to the market, engage with interested parties in helping them to adopt and gain better productivity using emerging technologies
Mani Sagar is an ETL Sr Developer and Lead with over 8 years of experience in designing, developing, and maintaining large enterprise applications. He has expert knowledge of ETL technologies like Informatica and data management processes including data migration, profiling, quality, security, and warehousing. He has led teams of up to 8 developers and delivered projects on time for clients across various industries.
Sutedjo menjelaskan secara singkat mengenai sistem ERP SAP, beserta dengan manfaat yang diberikan seperti mampu menurunkan biaya inventory sebesar 20%, mempercepat proses bisnis sampai 50% dan mengurangi biaya TCO sampai 30%. Sutedjo juga menjelaskan mengenai pembagian tanggungjawab antara provider dengan konsumen ketika menjalankan SAP secara on-premise, hosted, dan menjalankan keseluruhan sistem di cloud.
This document discusses Real-Time Innovations' (RTI) role in enabling systems interoperability. It provides examples of how RTI's middleware allows different systems and components to work together in applications such as military systems, industrial control systems, medical devices, and more. The document also describes RTI's standards-based approach and its vision for open interoperable architectures like FACE (Future, Agile, Composable Environment) that enable reuse across platforms.
Bilcare Ltd. is a pharmaceutical company that needed to centralize its data protection across multiple locations. It implemented Symantec NetBackup with PureDisk deduplication, which reduced backup data by 91-94% through deduplication and compression. This allowed 6x faster recoveries and improved backup success rates. Storage management time was reduced by 96%.
As technology becomes obsolete and organization deploy new applications, many enterprise application end up outliving their usefulness and become known as “legacy applications”. When evaluating options for retiring such “legacy applications,” it’s important to evaluate vendor solutions and understand what each vendor offers and how the solutions can be used in your environment. This white paper examines how a new technology can transform the way organizations access and deliver information.
This talk was done in Feb 2020. Sergey and I co-presented at CTO Forum on Microservices and Service Mesh (how they relate, requirements, goals, best practices and how DevOps and Agile has had convergence in the set of features for Service Mesh and gateways around observability, feature flags, etc.)
Optimize Data Connectivity in .NET ApplicationsAbhishek Kant
When it comes to Data Access performance of .NET application, many people focus on the tuning and optimizing the Backend datasources. But there is lot to gain from just tuning your connectivity solutions for the need of your application.
This presentation focuses on how to tune your ADO.NET connectivity solution to get the best performance out of them, with the examples.
Drive Your Company Digital Transformation
Create Live Business by establishing a seamless, connected, and data-driven digital platform to rapidly create value from applications, gain insights, and enable live business. Migrate your SAP infrastructure to the cloud to accelerate growth and innovation, drive IT transformation, set up processes quickly and reduce costs and risks.
AWS based Enterprise Digital Transformation Platform (EDTP) is architected as an Event Processing Digital Center around which all Businesses’ current and future data sources, consumers, services, and processes interact. The purpose of the Platform is to enable business innovation and agility by providing semantically-cohesive and structurally-flexible harmonized data across processes and systems and by bringing functions and capabilities to data instead of moving data.
FlexPod Select for Hadoop is a pre-validated solution from Cisco and NetApp that provides an enterprise-class architecture for deploying Apache Hadoop workloads at scale. The solution includes Cisco UCS servers and fabric interconnects for compute, NetApp storage arrays, and Cloudera's Distribution of Apache Hadoop for the software stack. It offers benefits like high performance, reliability, scalability, simplified management, and reduced risk for organizations running business-critical Hadoop workloads.
Shrey Kumar has over 4 years of experience as a Software Engineer working on various data integration projects. He has extensive knowledge of tools like ODI, OBIEE, JIRA, SQL Developer, and programming languages like Java, PL/SQL. Some of his responsibilities have included requirement analysis, documentation, coding, testing, resolving issues, managing data loads and implementing change requests. He currently works as a Senior Software Engineer at KPIT Technologies on a data integration project for Praxair that involves loading data from various sources into a Oracle data warehouse.
Atlaspoint Tech is an Indian geospatial services company located in Mangalore, India. It provides GIS, surveying, and engineering solutions globally since 2011. The company's mission is to become a large, successful GIS consultancy working across India and abroad providing high quality solutions. It focuses on innovation, cost-effectiveness, and reliable products. The company offers services including application development, data conversion, field surveys, and enterprise integration. Its infrastructure includes servers, workstations, high-speed internet, and backup power to ensure uninterrupted operations and data security.
Jan van der Vegt. Challenges faced with machine learning in practiceLviv Startup Club
Machine learning projects often fail to make it from development to production. Looking at the full machine learning lifecycle is essential for success. The lifecycle includes development, deployment, infrastructure, monitoring, automation, standardization, lineage and reproducibility. A machine learning operations (MLOps) platform can provide an end-to-end system view for increased efficiency, collaboration, and trust across the lifecycle. Key takeaways are to focus on what is important, avoid doing nothing which fails to scale, and doing everything which stifles progress.
Abhijeet Murlidhar Ghag is a manager at Axis Bank with over 8 years of experience in information technology. He has expertise in data warehousing, analytics and implementing solutions using tools like Informatica, Hadoop, and Oracle. Currently, he is working on projects to automate reporting processes, build a data infrastructure, and develop data marts and dimensions for analytics at Axis Bank.
iONE IT Solutions Pvt. Ltd. is an IT solutions company based in New Delhi, India that provides infrastructure and application support services. It has over 50 employees with over 7 years of experience. The document provides an introduction to the company and outlines its solutions such as infrastructure support including Oracle, Microsoft, and compute support services, and application development and support including Oracle Business Intelligence, application development, and application support. It also provides details on two case studies of projects for customers in the treasury and manufacturing sectors and a case study involving interfacing Oracle and Microsoft SQL databases for a telecom customer.
365 Data Centers provides colocation and data center services with a focus on flexibility and ease of use for SMB customers. They operate 17 data center facilities across tier 1 and 2 US markets that offer reliable connectivity, security, and support. 365 Data Centers aims to make colocation services more accessible and cloud-like for customers through quick start bundles, flexible terms, and a large ecosystem of carriers and partners.
January 2015 Webinar - Wins and Successes from 2014RapidScale
This document describes four examples of organizations that worked with RapidScale to improve their IT infrastructure and reduce costs. The first was a manufacturing company that moved to RapidScale's multi-tenant CloudMail solution to upgrade to Exchange 2013 at a lower cost. The second was a healthcare company that deployed RapidScale's CloudDesktop, CloudServer, and CloudRecovery solutions to enable dynamic scaling. The third was a healthcare organization that implemented RapidScale's managed helpdesk solution. The fourth was a healthcare provider that deployed RapidScale's Desktop as a Service to eliminate hardware refreshes and improve scalability and management.
Rajnish Kumar has over 7 years of experience in the IT industry as a Team Lead and Senior Software Engineer. He has extensive experience with ETL tools like DataStage and databases like Teradata, Oracle, and DB2. Some of his project experiences include developing ETL processes and data warehouses for clients in telecom and banking industries. He has technical skills in areas like data warehousing, ETL, SQL, shell scripting, and UNIX.
A healthcare payment system wanted to increase their processing speed. For this Rolta used Real Application testing (RAT) to capture the work amount on the existing database and play it back on the Exadata environment to predict performance gains, stability & scalability.
NetApp Clustered Data ONTAP with Oracle DatabasesNetApp
The ESG Lab Validation report documents the results of hands-on testing of NetApp clustered Data ONTAP in Oracle database environments, with a focus on ease of management, non-disruptive operations, and efficient scaling.
The document provides information on Patricia Latzke's experience and qualifications as an Infrastructure Project Manager. It outlines her 12+ years of experience in IT project management, engineering, and support. Some of her accomplishments include leading complex infrastructure implementation projects involving data backup solutions, server virtualization, and network upgrades. She has skills in project management, business analysis, Agile methodologies, and presentation. Latzke holds an ITIL certification and has a BS in Geology from Syracuse University.
Intelligent, Efficient and Competitive Solutions for Your IT Operations High ...Infopulse
Integrated, managed solutions to ensure high availability of your IT Operations – from infrastructure management and 24/7/365 monitoring up to application maintenance. Check out the presentation to learn more.
PIACERE project overview, summary of objectives v2PIACERE
This document provides an overview of the PIACERE project, which aims to enable organizations to fully embrace the Infrastructure-as-Code approach through the DevSecOps philosophy. The project receives funding from the European Union's Horizon 2020 program. It has defined objectives around helping DevSecOps teams plan, create, verify, deploy, monitor and optimize infrastructure code. Key results will include tools for modelling, developing, verifying, deploying and monitoring infrastructure code while ensuring security and trustworthiness. The project is expected to increase productivity and speed for DevSecOps teams and improve ability to deploy complex infrastructures. It involves partners from several European countries working towards these goals over its three year timeframe.
Bca 5th sem seminar(software measurements)MuskanSony
This document discusses software measurement and different types of metrics. It covers size-oriented metrics like lines of code, function-oriented metrics like function points that measure functionality, and extended function point metrics. Software measurement provides quantitative attributes of software products and processes to assess quality and assist with project management decisions. Measures can be direct, measured from the project itself, or indirect, where attributes are not immediately quantifiable.
Bilcare Ltd. is a pharmaceutical company that needed to centralize its data protection across multiple locations. It implemented Symantec NetBackup with PureDisk deduplication, which reduced backup data by 91-94% through deduplication and compression. This allowed 6x faster recoveries and improved backup success rates. Storage management time was reduced by 96%.
As technology becomes obsolete and organization deploy new applications, many enterprise application end up outliving their usefulness and become known as “legacy applications”. When evaluating options for retiring such “legacy applications,” it’s important to evaluate vendor solutions and understand what each vendor offers and how the solutions can be used in your environment. This white paper examines how a new technology can transform the way organizations access and deliver information.
This talk was done in Feb 2020. Sergey and I co-presented at CTO Forum on Microservices and Service Mesh (how they relate, requirements, goals, best practices and how DevOps and Agile has had convergence in the set of features for Service Mesh and gateways around observability, feature flags, etc.)
Optimize Data Connectivity in .NET ApplicationsAbhishek Kant
When it comes to Data Access performance of .NET application, many people focus on the tuning and optimizing the Backend datasources. But there is lot to gain from just tuning your connectivity solutions for the need of your application.
This presentation focuses on how to tune your ADO.NET connectivity solution to get the best performance out of them, with the examples.
Drive Your Company Digital Transformation
Create Live Business by establishing a seamless, connected, and data-driven digital platform to rapidly create value from applications, gain insights, and enable live business. Migrate your SAP infrastructure to the cloud to accelerate growth and innovation, drive IT transformation, set up processes quickly and reduce costs and risks.
AWS based Enterprise Digital Transformation Platform (EDTP) is architected as an Event Processing Digital Center around which all Businesses’ current and future data sources, consumers, services, and processes interact. The purpose of the Platform is to enable business innovation and agility by providing semantically-cohesive and structurally-flexible harmonized data across processes and systems and by bringing functions and capabilities to data instead of moving data.
FlexPod Select for Hadoop is a pre-validated solution from Cisco and NetApp that provides an enterprise-class architecture for deploying Apache Hadoop workloads at scale. The solution includes Cisco UCS servers and fabric interconnects for compute, NetApp storage arrays, and Cloudera's Distribution of Apache Hadoop for the software stack. It offers benefits like high performance, reliability, scalability, simplified management, and reduced risk for organizations running business-critical Hadoop workloads.
Shrey Kumar has over 4 years of experience as a Software Engineer working on various data integration projects. He has extensive knowledge of tools like ODI, OBIEE, JIRA, SQL Developer, and programming languages like Java, PL/SQL. Some of his responsibilities have included requirement analysis, documentation, coding, testing, resolving issues, managing data loads and implementing change requests. He currently works as a Senior Software Engineer at KPIT Technologies on a data integration project for Praxair that involves loading data from various sources into a Oracle data warehouse.
Atlaspoint Tech is an Indian geospatial services company located in Mangalore, India. It provides GIS, surveying, and engineering solutions globally since 2011. The company's mission is to become a large, successful GIS consultancy working across India and abroad providing high quality solutions. It focuses on innovation, cost-effectiveness, and reliable products. The company offers services including application development, data conversion, field surveys, and enterprise integration. Its infrastructure includes servers, workstations, high-speed internet, and backup power to ensure uninterrupted operations and data security.
Jan van der Vegt. Challenges faced with machine learning in practiceLviv Startup Club
Machine learning projects often fail to make it from development to production. Looking at the full machine learning lifecycle is essential for success. The lifecycle includes development, deployment, infrastructure, monitoring, automation, standardization, lineage and reproducibility. A machine learning operations (MLOps) platform can provide an end-to-end system view for increased efficiency, collaboration, and trust across the lifecycle. Key takeaways are to focus on what is important, avoid doing nothing which fails to scale, and doing everything which stifles progress.
Abhijeet Murlidhar Ghag is a manager at Axis Bank with over 8 years of experience in information technology. He has expertise in data warehousing, analytics and implementing solutions using tools like Informatica, Hadoop, and Oracle. Currently, he is working on projects to automate reporting processes, build a data infrastructure, and develop data marts and dimensions for analytics at Axis Bank.
iONE IT Solutions Pvt. Ltd. is an IT solutions company based in New Delhi, India that provides infrastructure and application support services. It has over 50 employees with over 7 years of experience. The document provides an introduction to the company and outlines its solutions such as infrastructure support including Oracle, Microsoft, and compute support services, and application development and support including Oracle Business Intelligence, application development, and application support. It also provides details on two case studies of projects for customers in the treasury and manufacturing sectors and a case study involving interfacing Oracle and Microsoft SQL databases for a telecom customer.
365 Data Centers provides colocation and data center services with a focus on flexibility and ease of use for SMB customers. They operate 17 data center facilities across tier 1 and 2 US markets that offer reliable connectivity, security, and support. 365 Data Centers aims to make colocation services more accessible and cloud-like for customers through quick start bundles, flexible terms, and a large ecosystem of carriers and partners.
January 2015 Webinar - Wins and Successes from 2014RapidScale
This document describes four examples of organizations that worked with RapidScale to improve their IT infrastructure and reduce costs. The first was a manufacturing company that moved to RapidScale's multi-tenant CloudMail solution to upgrade to Exchange 2013 at a lower cost. The second was a healthcare company that deployed RapidScale's CloudDesktop, CloudServer, and CloudRecovery solutions to enable dynamic scaling. The third was a healthcare organization that implemented RapidScale's managed helpdesk solution. The fourth was a healthcare provider that deployed RapidScale's Desktop as a Service to eliminate hardware refreshes and improve scalability and management.
Rajnish Kumar has over 7 years of experience in the IT industry as a Team Lead and Senior Software Engineer. He has extensive experience with ETL tools like DataStage and databases like Teradata, Oracle, and DB2. Some of his project experiences include developing ETL processes and data warehouses for clients in telecom and banking industries. He has technical skills in areas like data warehousing, ETL, SQL, shell scripting, and UNIX.
A healthcare payment system wanted to increase their processing speed. For this Rolta used Real Application testing (RAT) to capture the work amount on the existing database and play it back on the Exadata environment to predict performance gains, stability & scalability.
NetApp Clustered Data ONTAP with Oracle DatabasesNetApp
The ESG Lab Validation report documents the results of hands-on testing of NetApp clustered Data ONTAP in Oracle database environments, with a focus on ease of management, non-disruptive operations, and efficient scaling.
The document provides information on Patricia Latzke's experience and qualifications as an Infrastructure Project Manager. It outlines her 12+ years of experience in IT project management, engineering, and support. Some of her accomplishments include leading complex infrastructure implementation projects involving data backup solutions, server virtualization, and network upgrades. She has skills in project management, business analysis, Agile methodologies, and presentation. Latzke holds an ITIL certification and has a BS in Geology from Syracuse University.
Intelligent, Efficient and Competitive Solutions for Your IT Operations High ...Infopulse
Integrated, managed solutions to ensure high availability of your IT Operations – from infrastructure management and 24/7/365 monitoring up to application maintenance. Check out the presentation to learn more.
PIACERE project overview, summary of objectives v2PIACERE
This document provides an overview of the PIACERE project, which aims to enable organizations to fully embrace the Infrastructure-as-Code approach through the DevSecOps philosophy. The project receives funding from the European Union's Horizon 2020 program. It has defined objectives around helping DevSecOps teams plan, create, verify, deploy, monitor and optimize infrastructure code. Key results will include tools for modelling, developing, verifying, deploying and monitoring infrastructure code while ensuring security and trustworthiness. The project is expected to increase productivity and speed for DevSecOps teams and improve ability to deploy complex infrastructures. It involves partners from several European countries working towards these goals over its three year timeframe.
Bca 5th sem seminar(software measurements)MuskanSony
This document discusses software measurement and different types of metrics. It covers size-oriented metrics like lines of code, function-oriented metrics like function points that measure functionality, and extended function point metrics. Software measurement provides quantitative attributes of software products and processes to assess quality and assist with project management decisions. Measures can be direct, measured from the project itself, or indirect, where attributes are not immediately quantifiable.
The document discusses the evolution and components of CASE (computer-aided software engineering) tools from 1980 to 1990, including their use of central repositories and automated design, analysis, and code generation. It also covers typical tasks for large-scale JAD (joint application development) environments and compares the traditional software development life cycle to RAD (rapid application development).
The document presents a methodology for developing web-based CAD/CAM software systems. It begins with the author's background and introduces the motivation and challenges of web-based CAD/CAM development. It then discusses the lack of a defined approach in current literature and sets the aim to develop such a methodology. The methodology features a software process model, design optimization early on, and a novel approach to planning using time reserves. It applies the methodology to case studies and validates it by evaluating the developed software. The major contributions are said to be a systematic approach, architecture optimization early in projects, and a novel planning approach based on task prioritization.
Software Defect Prediction Techniques in the Automotive Domain: Evaluation, S...RAKESH RANA
Software Defect Prediction Techniques in the Automotive Domain: Evaluation, Selection and Adoption
PhD Defense, Göteborg, Sweden
Feb, 2015
Get full text of publication at:
http://rakeshrana.website/index.php/work/publications/
This document discusses defining and tracking productivity metrics for an organization. It proposes identifying key metrics across teams to measure productivity gaps. It suggests developing a framework to collect data, analyze gaps, and deliver a report with optimization recommendations. Sample metrics are provided for engineering, development, sustainment, and quality assurance. Case studies demonstrate defining complexity-weighted productivity comparisons between global teams and addressing constraints impacting productivity.
This document provides an introduction to software engineering concepts. It outlines the history and problems of software development that led to the emergence of software engineering. It then covers key software engineering concepts like requirements analysis, design, implementation, testing, and management methods. Life cycle methodologies like waterfall, incremental, and spiral development are discussed. The document also examines software engineering processes, procedures, and automated tools.
This document provides an outline and overview of key concepts in software engineering. It begins with background on the history and problems of software development that led to the emergence of software engineering. It then covers fundamental software engineering concepts like the software development life cycle, requirements analysis, design, implementation, testing, integration, maintenance, and management techniques. Methods, processes, and documentation for each phase are also discussed at a high level.
This document provides an introduction to software engineering concepts. It outlines the history and problems of software development that led to the emergence of software engineering. It then covers key software engineering concepts like requirements analysis, design, implementation, testing, and management methods. Life cycle methodologies like waterfall, incremental, and spiral development are discussed. The document also describes various processes, procedures, and automated tools used in software engineering.
This document provides an outline and overview of key concepts in software engineering. It begins with background on the history and problems of software development that led to the emergence of software engineering. It then covers fundamental software engineering concepts like the software development life cycle, requirements analysis, design, implementation, testing, integration, maintenance, and management techniques. Diagrams illustrate example system engineering, object-oriented design, testing, and verification and validation processes. Overall, the document introduces the core processes, methods, and challenges of the discipline of software engineering.
This document provides an introduction and outline for a course on software engineering. It begins with background on the history and problems of software development that led to the emergence of software engineering. It then outlines the main concepts that will be covered in the course, including software engineering relationships, principles, development methods and techniques, management methods, life-cycle methodologies, processes and procedures, and automated tools. Examples of specific topics that will be discussed are the software development life cycle, requirements analysis, design methods, coding, testing, integration, maintenance, and project management techniques.
MSR 2022 Foundational Contribution Award Talk: Software Analytics: Reflection...Tao Xie
MSR 2022 Foundational Contribution Award Talk on "Software Analytics: Reflection and Path Forward" by Dongmei Zhang and Tao Xie
https://conf.researchr.org/info/msr-2022/awards
Why is Test Driven Development for Analytics or Data Projects so Hard?Phil Watt
This document outlines Phil Watt's oral thesis presentation on the challenges of adopting test-driven development (TDD) for analytics and data projects. It begins with an introduction to the problem that while TDD is an established best practice, it is rarely used for analytics projects. It then reviews literature identifying challenges such as testing large data volumes and non-deterministic outputs. Next, it describes the author's mixed methodology of interviews and an online survey of analytics professionals to understand recognized challenges and their perceived difficulty. The results showed agreement that TDD for analytics is more complex than for software but opinions varied on solutions. Further work could study automation case studies and impact of other productivity factors.
Why is TDD so hard for Data Engineering and Analytics Projects?Phil Watt
This slide show describes the difficulties in implementing Test-Driven Development (TDD) in the context of analytics and data engineering in development and maintenance phases. If we assumes that the objective of TDD is to reduce cycle time, improve developer productivity and improve production quality. It identifies 7 challenges from the analytics literature and a further 10 from interviews (n=14) and survey respondents (n=20) selected from analytics leaders. A key theme emerging as an output is that many of the challenges can be addressed through education and coaching, notably around data literacy for key stakeholders and executives
This document contains a resume summary for Vinaybabu Tammineni. It outlines his experience testing Oracle applications for 6.4 years, including 2.5 years testing Oracle apps modules like accounts receivables and payables. It also lists his experience with automation tools like QTP/UFT, expertise in writing VB script for automation, and testing methodologies like Waterfall and Agile. His education includes an MBA and certifications in software testing.
Meha Ghadge is a database expert with over 8 years of experience in the IT industry. She has extensive experience designing, coding, testing and optimizing database performance. Currently she is a technical lead for Moody's Investor Services where she is responsible for analyzing database structures, mapping data fields, and documenting business rules and processes. She has led multiple projects involving database development, performance tuning, and coordinating with backend and frontend teams.
Model-based development, using models as the primary source when creating systems and software, is claimed to improve productivity but this is often hard to justify in practice. It requires a lot of resources and time to do it in “academic” way by building the same system twice, having parallel teams, many developers and covering large numbers of development tasks. We describe, based on successful cases from practice, how evaluation can be conducted in practical use in a commercial setting. It is based on the same approach that is the basis for daily project business: Inspect how much effort was needed to implement an application that met customer requirements. We give examples of this by describing evaluations done in two different kind of companies: one developing embedded products for consumer electronics and the other web-based enterprise applications for the cloud. The talk shows the evaluation approaches that are realistic but require modest investments both in time and resources. We detail the evaluation procedures so that participants can repeat them in their own teams and companies. This helps to evaluate if a particular model-based development approach is suitable for the company.
Software Architecture Evaluation: A Systematic Mapping StudySofia Ouhbi
Sofia Ouhbi presented a systematic mapping study on software architecture evaluation approaches at the 13th International Conference on Evaluation of Novel Approaches to Software Engineering in Funchal, Madeira, Portugal. The study analyzed 60 papers on software architecture evaluation to identify key publication sources, trends over time, research types, validation methods, evaluation approaches, quality models used, and description models. The results showed that journals and conferences are the main publication sources, interest peaked in the late 2000s and has declined recently, case studies are common validation methods, and quality attributes like performance and maintainability are frequently evaluated using models like the ISO 9126.
SDLC Models and their implementations. Almong with the flow of each model. The PPT contains implementations of each model for various software development phases
NexGen Solutions for cloud platforms, powered by GenQAIVijayananda Mohire
This is our next generation solutions powered by emerging technologies like AI, quantum computing, Blockchain, quantum cryptography etc. We have various offers that can help improved productivity, help automate and improve ease of doing business. We offer cloud based solutions and have a Hub to interface major cloud platforms.
This is our project work at our startup for Data Science. This is part of our internal training and focused on data management for AI, ML and Generative AI apps
This is our contributions to the Data Science projects, as developed in our startup. These are part of partner trainings and in-house design and development and testing of the course material and concepts in Data Science and Engineering. It covers Data ingestion, data wrangling, feature engineering, data analysis, data storage, data extraction, querying data, formatting and visualizing data for various dashboards.Data is prepared for accurate ML model predictions and Generative AI apps
Considering the need and demand for high quality digital platforms that can help clients to get the most of the newer technology, we have proposed an IT Hub that allows for rapid on boarding of clients to various modules on a need basis, allowing them to subscribe to modules they need only. We have various modules.
This document offers a high level overview of our IT Hub that offers various modules allowing for clients to onboard faster and get the benefits of a large set of vendor products, tools, IDE related to AI, Quantum and Generative AI technologies.
This is my hands-on projects in quantum technologies. These are few of the key projects that I worked with that demonstrates my skills in using various concepts, tools, IDE and deriving the solutions by using quantum principles like superposition, and entanglement along with quantum circuits in realizing the concepts
Azure Quantum Workspace for developing Q# based quantum circuitsVijayananda Mohire
This document provides steps to develop quantum circuits using Q# on Azure Quantum. It instructs the user to create an Azure subscription, log into the Azure portal, create a Quantum Workspace, and provision storage. It then explains how to define Q# operations, simulate them locally using %simulate, connect to the Azure Quantum workspace with %azure.connect, specify an execution target with %azure.target, submit jobs with %azure.submit, check job status with %azure.status, retrieve outputs with %azure.output, and view all jobs with %azure.jobs. An example quantum random number generation program written in Q# is provided.
This is my journey taken from year 2012 on wards, after graduation in my MS with major in AI. I have taken various certification courses, trainings, hands-on labs; few key ones are from Google, and Microsoft.
Agricultural and allied industries play a vital role in the progress of a nation and sustainable economic growth. Farmers play a vital role in this progress. Their hard work and efforts need to be praised and possibly offer them various tools and digital assets that can automate some of their various repetitive tasks such as back office operations, crop monitoring, and post-harvesting routines that might divert the attention of farmers from their core job.
We, at Bhadale IT have developed various products and services that are revolutionary and can offer effective solutions with our industrial partnerships with digital technology leaders like Intel and Microsoft. We have drafted this solution brief to illustrate our products and service offerings for the agricultural industry. We can tailor make highly customized solutions to meet individual project and farmer needs that can include use of various technologies like artificial intelligence, machine learning, data science and related machinery like drones and geo-spatial datasets and various information that can offer precise farming techniques and use of technology in improving production, improvised use of fertilizers, organic farming and reduced crop loss due to rodents, insects and regional diseases.
The focus of this solution is for farmers to adopt and migrate to digital cloud platform to Microsoft Azure that can boost quality and quantity of crop production and improve their supply chain and offer faster and mature downstream business operations.
This is our cloud offerings based on our partnership and relationship with Intel and Microsoft. We offer highly optimized Intel motherboards, memory, and software stack that is best suited for Azure cloud platform and can handle various types of models (IaaS, PaaS, SaaS) and Azure workloads in the public or private cloud.
Explore the fundamentals of GitHub Copilot and its potential to enhance productivity and foster innovation for both individual developers and businesses. Discover how to implement it within your organization and unleash its power for your own projects.
In this learning path, you'll:
Gain a comprehensive understanding of the distinctions between GitHub Copilot for Individuals, GitHub Copilot for Business, and GitHub Copilot X.
Explore various use cases for GitHub Copilot for Business, including real-life examples showcasing how customers have leveraged it to boost their productivity.
Receive step-by-step instructions on enabling GitHub Copilot for Individuals and GitHub Copilot for Business, ensuring a seamless integration into your workflows.
Practical ChatGPT From Use Cases to Prompt Engineering & Ethical ImplicationsVijayananda Mohire
This journey provides learners with a thorough exploration of ChatGPT, starting with an introduction to large language models and their capabilities, the series progresses through practical applications, advanced techniques, industry impacts, and important ethical considerations. Each course aims to equip learners with an in-depth understanding of the model, its functionality, and its wide-ranging applications.
Red Hat Enterprise Linux (RHEL) and Hybrid Cloud Infrastructure. Products that are developed for multi-cloud hybrid platform enabling seamless integration and portability of workloads across Red Hat and partner Infrastructure, public and private clouds.
Learners will be exposed to the foundations of Red Hat, Red Hat Enterprise Linux (RHEL) portfolio including Hybrid Cloud Infrastructure, how to identify target customers, distinguish Red Hat solutions from the competition, review key use cases, align to the sales conversation framework for positioning the solutions, and much more!
Upon completing this learning path, learners will receive the Red Hat Sales Specialist - Red Hat Enterprise Linux accreditation and be prepared to advance to the Red Hat Sales Specialist - Red Hat Enterprise Linux II learning path
This is my annual learning at Red Hat related to accreditation and courses at Red Hat partner training portal.
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Generative AI is a cutting-edge technology that will transform nearly every business function, ranging from content creation and product design, to improving customer experience and marketing new ideas. While the benefits of Generative AI are immense, the technology has its limitations and poses some ethical considerations. In this Journey, learners of all levels will develop a shared understanding of what Generative AI is, the guardrails for use and identify of how to use, build and experiment with the technology in a responsible manner. Learners will also develop skills for leading through this disruption with empathy, while cultivating the human skills to sustain the transformation
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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1. VIJAYANANDA D MOHIRE
M.TECH SEM –III
REG. NO : 921DMTE0113
KSOU, MYSORE
DISSERATION PART – I :
DERIVING PROJECT-VALUES OF MULTI
AGENT SYSTEMS
1
2. PRESENTATION STRUCTURE
Aims & Objectives of this study
Research methodology
Project setup
Metrics, tools to be used
Expected outcomes from this study
Result presentation
Conclusions and Recommendations
2
3. AIMS OF THIS STUDY
Aim 1 : Identify current key issues in using MAS
Aim 2 : Identify & Evaluate value generated
by MAS based project
Aim 3 : Develop a general solution to
common issues faced in MAS project
3
4. OBJECTIVES OF THIS STUDY
Objective 1: To accomplish Aim 1, gather
literature related to issues faced
during MAS project development
Objective 2: To accomplish Aim 2, gather,Objective 2: To accomplish Aim 2, gather,
analyze and critically evaluate the
MAS project features
Objective 3: Explore Industry framework,
standards & best practices and
evaluate them to current scenario
4
5. RESEARCH METHODOLOGY
Research methodology 1:
To accomplish Objective 1, gather case
studies & Internet Surveys
Research methodology 2:Research methodology 2:
To accomplish Objective 2 &3, gather case
studies, Internet Surveys & conduct Action
research that involved self study and
deriving results
5
6. RESEARCH METHODOLOGY STEPS
Collecting data
Formulating a hypothesis or proposition
Testing the hypothesis
Interpreting resultsInterpreting results
Stating the conclusion
6
8. PROJECT DETAILS- EFFORT
PackagePackagePackagePackage EffortEffortEffortEffort estimates in daysestimates in daysestimates in daysestimates in days
1) Architecture 40
2) Behaviour 15
3) Ontology 15
4) Middleware 15
5) Testing 20
6) Development 60
TOTAL NO OF EFFORT DAYSTOTAL NO OF EFFORT DAYSTOTAL NO OF EFFORT DAYSTOTAL NO OF EFFORT DAYS 155155155155
8
15. METRICS, TOOLS TO BE USED
Comparison unit /Comparison unit /Comparison unit /Comparison unit /
MetricsMetricsMetricsMetrics
Comparison unit /Comparison unit /Comparison unit /Comparison unit /
MetricsMetricsMetricsMetrics
Comparison unit /Comparison unit /Comparison unit /Comparison unit /
MetricsMetricsMetricsMetrics
1) Project metrics
like SDLC, Time,
cost of investment,
ROI,
3) Social, Proactive
behaviour and its
leverage into the projects
5) Closer to realism –
man machine
interactions, real world
scenariosROI,
Features benefits
etc
scenarios
2) Nature of control
and command like
– Autonomy,
Grained access
control, security
mechanism
4) Communication
protocols, modes of
operation, Centralised
and Decentralised ,
failure and recovery
mechanism
6) Problem solving skills-
how close it solves the
real problems and hard
problems
15
16. METRICS, TOOLS TO BE USED
Sl.NoSl.NoSl.NoSl.No Tools / SW applicationsTools / SW applicationsTools / SW applicationsTools / SW applications Purpose/ DetailsPurpose/ DetailsPurpose/ DetailsPurpose/ Details
1 Win Word 2007 editor For Documentation
2 Windows operating system Operating system
3 JRE/ JDK For Java environment
4 NetBeans Java IDE and Debugging4 NetBeans Java IDE and Debugging
5 JADE For Middleware and Hosting Java
Agents
6 Wintel System Laptop PC Hardware for deploying the application
16
17. EXPECTED OUTCOMES FROM THIS STUDY
Clear understanding of the prevailing current
issues in MAS development
Resolutions to the Research questions, Aims
and Objectives
Value creation by using suitable MASValue creation by using suitable MAS
techniques
Common solution to recurring issues in
project development for MAS
Reusable project artifacts and samples
17
18. RESULTS PRESENTATION
Comparison charts using comparable metrics
Project artifacts tables with Package level
comparison
Value proposition charts
Computation complexity statistics
Managerial KPIs
Process, Quality and Standards tables
Samples, Case studies, typical usage
Related formulas, references and statistics
18
19. CONCLUSIONS AND RECOMMENDATIONS
Main conclusion is that the current modes of
approaches to domestic Project development
lack the maturity as compared to scientific
community advances
A right approach to use the right tools and
techniques is needed specific to AI basedtechniques is needed specific to AI based
MAS projects
Recommend to leverage industry standards,
frameworks and policies and build a custom
model, resolving implementation issues
Derive and demonstrate true value of MAS
19