Enterprises use IT systems to derive mechanical
advantage through automation of business process steps. Prevalent labor arbitrage outsourcing model has delivered significant
savings in run-the-business IT costs. For a variety of reasons,
change-the-business IT costs continue to be significantly high.
With continually increasing business dynamics and increasing
dependence on IT systems, the problem of managing these costs
with certainty is getting ever more difficult. We propose a model-
driven approach for addressing this problem. The paper discusses
current practice to motivate the problem, describes a model-
driven architecture to address the problem, and discusses various
research, engineering and business challenges for its realization.
The document discusses IT/IS architecture at three companies - Chubb Insurance, Nike, and United Way of Central Ohio. It provides details on the challenges each company faced with their IT architecture, and reasons for success or failure in addressing those challenges. Specifically, it notes that Chubb succeeded by establishing an enterprise architecture plan, chief architect, and IT staff integrated with the business. Nike failed because their issue was closely tied to a core process and they didn't devote enough resources to their new system. The document recommends United Way develop a system map and database integration plan.
1) The document discusses different types of information systems used in businesses like enterprise systems, supply chain management systems, customer relationship management systems, and knowledge management systems.
2) It explains how information systems help support business processes and functions like manufacturing, sales, marketing, finance, and human resources.
3) The document outlines the benefits of using enterprise-wide systems and challenges of implementing them.
Data processing in Industrial systems Course Notes 1- 3 weeksUfuk Cebeci
This document provides an overview of information systems concepts. It defines an information system as an organized combination of people, hardware, software, communications networks, and data resources that collects, transforms, and disseminates information in an organization. The document discusses the five basic components of information systems - people resources, hardware resources, software resources, data resources, and network resources. It explains that data resources are transformed through information processing activities like input, processing, output, storage and control into various information products for end users.
Data processing in Industrial Systems course notes after week 5Ufuk Cebeci
This document discusses database management systems and decision support systems. It begins by outlining some of the challenges with traditional information processing approaches, such as data redundancy and lack of flexibility. It then introduces database management systems as a solution, highlighting their ability to reduce redundancy and integrate related data. Key features of DBMS like logical data structures and relational models are explained. The document also covers decision support systems, noting that they provide interactive support during decision making by using analytical models, specialized databases, and the insights of decision makers. Major components of DSS like model bases are outlined.
This document provides an overview of management information systems (MIS). It defines an MIS as a formalized computer system that integrates data from various sources to provide management with decision-making information. It discusses the relationship between data processing systems and MIS, and how data processing collects transactional data that serves as the database for an MIS. The document also covers levels of decision making, characteristics of information needs at different levels, types of reports generated by an MIS, and how MIS and database management systems function.
This document discusses Enterprise Resource Planning (ERP) systems. It provides definitions of ERP, describes the concept and need for ERP systems. It covers the features, scope, advantages and disadvantages of ERP. It also discusses drivers for ERP implementation, ERP architecture types including monolithic and postmodern, and examples of common ERP software solutions. The document is intended to provide an overview of ERP systems for business operations, technology and implementation.
The document discusses the syllabus for a Management Information Systems course at Trinity Institute of Professional Studies. It outlines 4 units that will be covered: (1) introduction to MIS and system types, (2) system development lifecycle and concepts, (3) information concepts and cost-benefit analysis, and (4) information technology including databases, data warehousing, and recent developments. It provides details on the topics that will be covered within each unit, such as transaction processing systems, decision support systems, and multimedia approaches.
The document discusses IT/IS architecture at three companies - Chubb Insurance, Nike, and United Way of Central Ohio. It provides details on the challenges each company faced with their IT architecture, and reasons for success or failure in addressing those challenges. Specifically, it notes that Chubb succeeded by establishing an enterprise architecture plan, chief architect, and IT staff integrated with the business. Nike failed because their issue was closely tied to a core process and they didn't devote enough resources to their new system. The document recommends United Way develop a system map and database integration plan.
1) The document discusses different types of information systems used in businesses like enterprise systems, supply chain management systems, customer relationship management systems, and knowledge management systems.
2) It explains how information systems help support business processes and functions like manufacturing, sales, marketing, finance, and human resources.
3) The document outlines the benefits of using enterprise-wide systems and challenges of implementing them.
Data processing in Industrial systems Course Notes 1- 3 weeksUfuk Cebeci
This document provides an overview of information systems concepts. It defines an information system as an organized combination of people, hardware, software, communications networks, and data resources that collects, transforms, and disseminates information in an organization. The document discusses the five basic components of information systems - people resources, hardware resources, software resources, data resources, and network resources. It explains that data resources are transformed through information processing activities like input, processing, output, storage and control into various information products for end users.
Data processing in Industrial Systems course notes after week 5Ufuk Cebeci
This document discusses database management systems and decision support systems. It begins by outlining some of the challenges with traditional information processing approaches, such as data redundancy and lack of flexibility. It then introduces database management systems as a solution, highlighting their ability to reduce redundancy and integrate related data. Key features of DBMS like logical data structures and relational models are explained. The document also covers decision support systems, noting that they provide interactive support during decision making by using analytical models, specialized databases, and the insights of decision makers. Major components of DSS like model bases are outlined.
This document provides an overview of management information systems (MIS). It defines an MIS as a formalized computer system that integrates data from various sources to provide management with decision-making information. It discusses the relationship between data processing systems and MIS, and how data processing collects transactional data that serves as the database for an MIS. The document also covers levels of decision making, characteristics of information needs at different levels, types of reports generated by an MIS, and how MIS and database management systems function.
This document discusses Enterprise Resource Planning (ERP) systems. It provides definitions of ERP, describes the concept and need for ERP systems. It covers the features, scope, advantages and disadvantages of ERP. It also discusses drivers for ERP implementation, ERP architecture types including monolithic and postmodern, and examples of common ERP software solutions. The document is intended to provide an overview of ERP systems for business operations, technology and implementation.
The document discusses the syllabus for a Management Information Systems course at Trinity Institute of Professional Studies. It outlines 4 units that will be covered: (1) introduction to MIS and system types, (2) system development lifecycle and concepts, (3) information concepts and cost-benefit analysis, and (4) information technology including databases, data warehousing, and recent developments. It provides details on the topics that will be covered within each unit, such as transaction processing systems, decision support systems, and multimedia approaches.
This document discusses management information systems (MIS). It defines MIS as a system that provides information needed to manage organizations effectively. MIS are used to analyze other information systems applied in operational activities. The key components of information systems are discussed including software, hardware, telecommunications, people, procedures, and data. The four stages of processing data into information are also outlined. Some ethical and societal issues with information systems are raised. The types and uses of MIS in customer relationship management are briefly described. An overview of the history and evolution of business information systems from the 1970s to present is provided. The future of artificial intelligence in executive information systems is mentioned. Finally, the roles of information systems in different business functions like accounting, finance,
Management information systems classic models and new approachesnripeshkumarnrip
This document discusses classic management models and new approaches using information systems. It describes the traditional management functions of planning, organizing, staffing, directing and controlling. It also explains how management information systems, decision support systems, and executive information systems provide information to different management levels. Additionally, it discusses how computer networking has flattened management hierarchies and enabled more team-based approaches. Finally, it covers challenges of personal computer management and how the total cost of ownership model can help address those challenges.
The document discusses information technology and its uses in business. It provides overviews of how IT can be used as a sales, management, and customer relationship management tool. It also describes common computer components like the CPU, memory, storage, buses, input/output devices, and networks. Finally, it discusses different types of information systems like transaction processing systems, management information systems, and decision support systems and how they relate to various business functions and organizational levels.
This document defines key concepts related to information systems. It discusses what an information system is, how it differs from a manual system, and key components like input, processing, output and feedback. It also covers different types of information systems such as functional vs integrated systems and knowledge-based systems like expert systems, decision support systems, and executive information systems.
The document discusses different types of information systems used in organizations:
1. Expert systems use knowledge from experts to provide answers to questions.
2. Decision support systems provide interactive support to help with decision making by analyzing multiple data and models.
3. Executive information systems provide structured information to senior executives.
It also discusses key concepts in developing decision support systems like the iterative design process and components such as the user interface, data management, and model management.
MIS stands for Management Information Systems. The document discusses:
1. The key concepts of management, information, and systems. Management involves planning, organizing, leading, and controlling. Information is data that has been processed into a meaningful context. Systems involve components that work together to achieve objectives.
2. How MIS takes raw data as input, processes it, and produces useful information outputs for management decision making. This includes gathering internal and external data and integrating it into a centralized database.
3. The benefits of MIS include enabling management by objectives, generating competitive advantages by allowing fast reaction to market changes, and providing information to support decision making, problem solving, and controlling operations.
A management information system (MIS) provides managers with information to aid in decision making and managing an organization. An MIS integrates various subsystems, such as transaction processing, reporting, and decision support systems. It draws data from internal databases and external sources to generate reports for managers at different levels. These reports include scheduled, indicator, demand, and exception reports to help with planning, controlling, and decision making.
This document discusses the development of long-range plans for management information systems (MIS). It begins by explaining the importance of planning for information as a key organizational resource. It then outlines various components that should be included in an MIS plan, such as goals and objectives, development strategies, system architectures, and hardware/software plans. The document contrasts business plans with MIS plans and describes different types of information that may be required, including organizational, functional, knowledge, decision support, and operational information. It also discusses methods for determining information requirements, such as interviews, analyzing existing systems, critical success factors, and experimentation/modeling. Finally, it briefly introduces the prototype and lifecycle approaches to information system development and implementation.
Chap 6 IMplementation of Information SystemSanat Maharjan
The document discusses the implementation of information systems and provides details on key concepts. It begins with defining what an information system is and its key components. It then discusses the types of information systems, examples of systems, and considerations for implementation in Nepal and the US. It also covers theories related to behavioral science and managing change when implementing new systems. Finally, it discusses critical success factors for information system projects and introducing next generation balanced scorecard concepts to improve performance measurement.
This document provides an overview of business process management (BPM) and key related concepts like enterprise resource planning (ERP) systems. It discusses what BPM is, the typical stages of BPM, how organizations can model and improve business processes, and how information systems play an important role in implementing business processes. Specific topics covered include cross-functional processes, supply chain management processes, the Business Process Modeling Notation (BPMN) standard, customer relationship management (CRM) systems, and how ERP systems integrate activities across the organization's value chain.
management information system MIS MBA PPT Babasab Patil
This document discusses the implementation of a management information system at Bank of India. It describes the system configuration including the operating system, RAM, processor, hard disk, and input/output devices used. It also outlines the server configuration, local and wide area networks, use of intranet and internet, and security measures implemented including firewalls, data encryption, and virus defenses. Application software used includes Finacle for core banking solutions and ERP and SCM techniques are adopted for enterprise resource planning and supply chain management.
Management Information System MIS Priti Sajja S P University Priti Srinivas Sajja
The document provides information about Management Information Systems (MIS) including:
- MIS is a computer-based system for providing accurate and flexible access to data to support managerial decision making.
- MIS has evolved from basic data processing to today's sophisticated systems that support all levels of management.
- Key differences between computing technology and MIS include MIS's focus on understanding business needs and applying technology, while computing focuses solely on the technological aspects.
- Typical MIS applications support functions like production, finance, personnel, and marketing at strategic, tactical and operational levels.
This document discusses strategic planning and information systems strategy. It covers topics like strategic planning, vision and business needs, Earl's grid, McFarlan's application portfolio, and business process reengineering. For McFarlan's application portfolio, it describes assessing existing, planned and potential IT systems based on their current and future importance to the business. It also discusses Earl's reasons for having an IT strategy and categorizing systems as high potential, strategic, key operational or support.
The document discusses various topics related to information systems and management including:
1. It outlines different types of information systems such as transaction processing systems, management information systems, and enterprise systems.
2. It describes how information systems support business functions like operations, management, and competitive advantage.
3. It discusses challenges of managing information technology and developing information system solutions.
The document discusses the MIS structure of digital firms. It notes that with advancements in internet, web communications, and information technology, business processes now cross organizational boundaries and make operations digital. All supply chain processes from ordering to delivery are now digital. This covers areas like ERP, SCM, and CRM. It also discusses how traditional hierarchical organizational structures are being replaced by flatter structures in digital firms to allow for more flexibility, delegation of decision making, and a more outcome-driven culture. Employees can now work more flexible hours and locations through technology.
This document provides an introduction to information systems for non-technical managers. It discusses key concepts like the DIKW model, which organizes data, information, knowledge and wisdom hierarchically. It also discusses different types of information systems like TPS, MIS, DSS and EIS and how they map to different levels of the organization and support different types of decisions. Transaction processing systems are described as capturing daily transactions while management information systems provide performance reports. Decision support systems help with non-routine decisions using models or data. Executive information systems support strategic decisions with internal and external data. The document concludes with a discussion of knowledge management and expert systems, which use artificial intelligence to capture and distribute expert knowledge.
This document provides an introduction to information systems and key concepts in knowledge management and expert systems.
It begins with defining information systems and distinguishing them from information technology. It then covers models for understanding the relationships between data, information, knowledge and wisdom.
The document discusses different types of information systems like transaction processing systems, management information systems, decision support systems, and executive information systems. It also covers knowledge management concepts like explicit and tacit knowledge, and how information technology can be used to create, capture, share and distribute organizational knowledge.
Finally, the document introduces expert systems, their components like the knowledge base and inference engine, and techniques like forward and backward chaining used in the inference engine. It provides examples
Cloudy forecasts and other trends in information technologyAlan McSweeney
The document discusses trends in cloud computing and information technology. It begins with an overview of cloud computing definitions and manifestations like IaaS, PaaS, SaaS. It then analyzes surveys of IT trends from organizations like AICPA and Gartner. A key difference is that AICPA trends had a more business-oriented focus on issues like security, governance and data management, while Gartner trends were more technical in nature and focused on specific technologies. The document examines how relevant trends are to businesses and how much adoption is driven by various factors like cost savings or keeping up with competitors.
Management Information System (Full Notes)Harish Chand
This document provides a summary of key topics related to Management Information Systems (MIS). It discusses the importance of information systems for businesses and defines different types of systems, including Transaction Processing Systems, Knowledge Work Systems, Management Information Systems, and Decision Support Systems. It also outlines some of the challenges of implementing effective information systems, such as realizing digital transformation and addressing globalization.
This slide show was for a project in my MIS class this past semester. Obviously most will not understand this presentation but I'm hoping I can get some feedback/criticism/advice on how to put together some slides for a "formal professional" business presentation while not looking like a robot!
Personally I'm not a big fan of the template and its definitely not my best possible work. But considering it was a group project and the group politics I didn't have a choice.
This document provides an overview of key concepts related to how businesses use information systems. It introduces topics like e-business, enterprise applications, collaboration tools, and the role of the information systems department. The learning objectives cover understanding business processes and how different systems serve management groups. Case studies on companies like Walmart, Cemex, and Greenwell Couture illustrate these concepts.
This document presents a four-stage maturity model for IT automation:
1) Reactive Infrastructure Management focuses on task-driven automation with few analytics capabilities.
2) Active Operational Management incorporates use case-driven automation across multiple tasks but still relies on human approval of AI/analytics.
3) Proactive Service-Oriented Management features integrated automation spanning IT processes and more prescriptive use of AI/analytics.
4) Dynamic Business-Driven Management has automation driven by business outcomes and shaped by AI/analytics. Higher stages incorporate more advanced technologies, processes, and organizational support for automation.
This document discusses management information systems (MIS). It defines MIS as a system that provides information needed to manage organizations effectively. MIS are used to analyze other information systems applied in operational activities. The key components of information systems are discussed including software, hardware, telecommunications, people, procedures, and data. The four stages of processing data into information are also outlined. Some ethical and societal issues with information systems are raised. The types and uses of MIS in customer relationship management are briefly described. An overview of the history and evolution of business information systems from the 1970s to present is provided. The future of artificial intelligence in executive information systems is mentioned. Finally, the roles of information systems in different business functions like accounting, finance,
Management information systems classic models and new approachesnripeshkumarnrip
This document discusses classic management models and new approaches using information systems. It describes the traditional management functions of planning, organizing, staffing, directing and controlling. It also explains how management information systems, decision support systems, and executive information systems provide information to different management levels. Additionally, it discusses how computer networking has flattened management hierarchies and enabled more team-based approaches. Finally, it covers challenges of personal computer management and how the total cost of ownership model can help address those challenges.
The document discusses information technology and its uses in business. It provides overviews of how IT can be used as a sales, management, and customer relationship management tool. It also describes common computer components like the CPU, memory, storage, buses, input/output devices, and networks. Finally, it discusses different types of information systems like transaction processing systems, management information systems, and decision support systems and how they relate to various business functions and organizational levels.
This document defines key concepts related to information systems. It discusses what an information system is, how it differs from a manual system, and key components like input, processing, output and feedback. It also covers different types of information systems such as functional vs integrated systems and knowledge-based systems like expert systems, decision support systems, and executive information systems.
The document discusses different types of information systems used in organizations:
1. Expert systems use knowledge from experts to provide answers to questions.
2. Decision support systems provide interactive support to help with decision making by analyzing multiple data and models.
3. Executive information systems provide structured information to senior executives.
It also discusses key concepts in developing decision support systems like the iterative design process and components such as the user interface, data management, and model management.
MIS stands for Management Information Systems. The document discusses:
1. The key concepts of management, information, and systems. Management involves planning, organizing, leading, and controlling. Information is data that has been processed into a meaningful context. Systems involve components that work together to achieve objectives.
2. How MIS takes raw data as input, processes it, and produces useful information outputs for management decision making. This includes gathering internal and external data and integrating it into a centralized database.
3. The benefits of MIS include enabling management by objectives, generating competitive advantages by allowing fast reaction to market changes, and providing information to support decision making, problem solving, and controlling operations.
A management information system (MIS) provides managers with information to aid in decision making and managing an organization. An MIS integrates various subsystems, such as transaction processing, reporting, and decision support systems. It draws data from internal databases and external sources to generate reports for managers at different levels. These reports include scheduled, indicator, demand, and exception reports to help with planning, controlling, and decision making.
This document discusses the development of long-range plans for management information systems (MIS). It begins by explaining the importance of planning for information as a key organizational resource. It then outlines various components that should be included in an MIS plan, such as goals and objectives, development strategies, system architectures, and hardware/software plans. The document contrasts business plans with MIS plans and describes different types of information that may be required, including organizational, functional, knowledge, decision support, and operational information. It also discusses methods for determining information requirements, such as interviews, analyzing existing systems, critical success factors, and experimentation/modeling. Finally, it briefly introduces the prototype and lifecycle approaches to information system development and implementation.
Chap 6 IMplementation of Information SystemSanat Maharjan
The document discusses the implementation of information systems and provides details on key concepts. It begins with defining what an information system is and its key components. It then discusses the types of information systems, examples of systems, and considerations for implementation in Nepal and the US. It also covers theories related to behavioral science and managing change when implementing new systems. Finally, it discusses critical success factors for information system projects and introducing next generation balanced scorecard concepts to improve performance measurement.
This document provides an overview of business process management (BPM) and key related concepts like enterprise resource planning (ERP) systems. It discusses what BPM is, the typical stages of BPM, how organizations can model and improve business processes, and how information systems play an important role in implementing business processes. Specific topics covered include cross-functional processes, supply chain management processes, the Business Process Modeling Notation (BPMN) standard, customer relationship management (CRM) systems, and how ERP systems integrate activities across the organization's value chain.
management information system MIS MBA PPT Babasab Patil
This document discusses the implementation of a management information system at Bank of India. It describes the system configuration including the operating system, RAM, processor, hard disk, and input/output devices used. It also outlines the server configuration, local and wide area networks, use of intranet and internet, and security measures implemented including firewalls, data encryption, and virus defenses. Application software used includes Finacle for core banking solutions and ERP and SCM techniques are adopted for enterprise resource planning and supply chain management.
Management Information System MIS Priti Sajja S P University Priti Srinivas Sajja
The document provides information about Management Information Systems (MIS) including:
- MIS is a computer-based system for providing accurate and flexible access to data to support managerial decision making.
- MIS has evolved from basic data processing to today's sophisticated systems that support all levels of management.
- Key differences between computing technology and MIS include MIS's focus on understanding business needs and applying technology, while computing focuses solely on the technological aspects.
- Typical MIS applications support functions like production, finance, personnel, and marketing at strategic, tactical and operational levels.
This document discusses strategic planning and information systems strategy. It covers topics like strategic planning, vision and business needs, Earl's grid, McFarlan's application portfolio, and business process reengineering. For McFarlan's application portfolio, it describes assessing existing, planned and potential IT systems based on their current and future importance to the business. It also discusses Earl's reasons for having an IT strategy and categorizing systems as high potential, strategic, key operational or support.
The document discusses various topics related to information systems and management including:
1. It outlines different types of information systems such as transaction processing systems, management information systems, and enterprise systems.
2. It describes how information systems support business functions like operations, management, and competitive advantage.
3. It discusses challenges of managing information technology and developing information system solutions.
The document discusses the MIS structure of digital firms. It notes that with advancements in internet, web communications, and information technology, business processes now cross organizational boundaries and make operations digital. All supply chain processes from ordering to delivery are now digital. This covers areas like ERP, SCM, and CRM. It also discusses how traditional hierarchical organizational structures are being replaced by flatter structures in digital firms to allow for more flexibility, delegation of decision making, and a more outcome-driven culture. Employees can now work more flexible hours and locations through technology.
This document provides an introduction to information systems for non-technical managers. It discusses key concepts like the DIKW model, which organizes data, information, knowledge and wisdom hierarchically. It also discusses different types of information systems like TPS, MIS, DSS and EIS and how they map to different levels of the organization and support different types of decisions. Transaction processing systems are described as capturing daily transactions while management information systems provide performance reports. Decision support systems help with non-routine decisions using models or data. Executive information systems support strategic decisions with internal and external data. The document concludes with a discussion of knowledge management and expert systems, which use artificial intelligence to capture and distribute expert knowledge.
This document provides an introduction to information systems and key concepts in knowledge management and expert systems.
It begins with defining information systems and distinguishing them from information technology. It then covers models for understanding the relationships between data, information, knowledge and wisdom.
The document discusses different types of information systems like transaction processing systems, management information systems, decision support systems, and executive information systems. It also covers knowledge management concepts like explicit and tacit knowledge, and how information technology can be used to create, capture, share and distribute organizational knowledge.
Finally, the document introduces expert systems, their components like the knowledge base and inference engine, and techniques like forward and backward chaining used in the inference engine. It provides examples
Cloudy forecasts and other trends in information technologyAlan McSweeney
The document discusses trends in cloud computing and information technology. It begins with an overview of cloud computing definitions and manifestations like IaaS, PaaS, SaaS. It then analyzes surveys of IT trends from organizations like AICPA and Gartner. A key difference is that AICPA trends had a more business-oriented focus on issues like security, governance and data management, while Gartner trends were more technical in nature and focused on specific technologies. The document examines how relevant trends are to businesses and how much adoption is driven by various factors like cost savings or keeping up with competitors.
Management Information System (Full Notes)Harish Chand
This document provides a summary of key topics related to Management Information Systems (MIS). It discusses the importance of information systems for businesses and defines different types of systems, including Transaction Processing Systems, Knowledge Work Systems, Management Information Systems, and Decision Support Systems. It also outlines some of the challenges of implementing effective information systems, such as realizing digital transformation and addressing globalization.
This slide show was for a project in my MIS class this past semester. Obviously most will not understand this presentation but I'm hoping I can get some feedback/criticism/advice on how to put together some slides for a "formal professional" business presentation while not looking like a robot!
Personally I'm not a big fan of the template and its definitely not my best possible work. But considering it was a group project and the group politics I didn't have a choice.
This document provides an overview of key concepts related to how businesses use information systems. It introduces topics like e-business, enterprise applications, collaboration tools, and the role of the information systems department. The learning objectives cover understanding business processes and how different systems serve management groups. Case studies on companies like Walmart, Cemex, and Greenwell Couture illustrate these concepts.
This document presents a four-stage maturity model for IT automation:
1) Reactive Infrastructure Management focuses on task-driven automation with few analytics capabilities.
2) Active Operational Management incorporates use case-driven automation across multiple tasks but still relies on human approval of AI/analytics.
3) Proactive Service-Oriented Management features integrated automation spanning IT processes and more prescriptive use of AI/analytics.
4) Dynamic Business-Driven Management has automation driven by business outcomes and shaped by AI/analytics. Higher stages incorporate more advanced technologies, processes, and organizational support for automation.
The Role of a Systems Architect. Paul Booth, Senior Consultant. IT Architecture & Strategy. paul_booth@uk.ibm.com. 01256 344774. What is a Systems Architect ...
Architecture Series 5-1 EA As Corporate Strategy IntroductionFrankie Hsiang
This document provides an introduction to enterprise architecture as a corporate strategy. It defines enterprise architecture and common frameworks such as TOGAF and Zachman. It discusses the importance of aligning the business operating model, IT engagement model, and IT architecture definition to create optimized business results. The document also outlines stages of architecture maturity and strategies for implementing an enterprise architecture program and service-oriented architecture.
Brighttalk converged infrastructure and it operations management - finalAndrew White
How Converged Infrastructure Will Change IT Operations Management
Over the past decade, Enterprises have leveraged a shared service model to make IT more cost effective. The emergence of “Converged Infrastructure” and “Fabric-Based Infrastructure” will allow IT to offer purpose driven solutions rather than the function driven solutions of the past. To do this, IT will need to evolve towards more modular designs, rely more on open standards, and rethink their approach to management frameworks.
In this session you will learn:
How converged infrastructure is used to create purpose driven solutions
Why new operational challenges are faced as this new approach is used broadly
What changes need to occur to succeed with this new paradigm
Supporting material for my Webinar to the ACS - June2017Daljit Banger
The attached slide deck was used to Support a webinar for the Australian Computer Society (Queensland) on June 1st 2017.
Some previously used slides with modified content and some additional slides to support the webinar theme
Full Webinar Video can be seen at https://youtu.be/_41-izCm5rw
The overwhelming challenges of IT infrastructure managementNIIT Technologies
CIOs are now looking at IT infrastructure management as a mean to drive business transformation. To transform the way businesses work, CIOs need responsive systems and processes to bridge the gap between operations and business. With this understanding, IT leaders need to align IT with business and manage IT infrastructure as a service model. This paper surveys the challenges service providers face in managing IT infrastructures. It also lists down solutions for the effective management of IT infrastructures.
Leveraging Business Rules in TIBCO BusinessEventsTim Bass
Leveraging Business Rules in TIBCO BusinessEvents, TIBCO, TUCON 2007, Tim Bass, Principal Global Architect, Director Emerging Technologies Group TIBCO Software Inc.
This chapter introduces systems analysis and design and information systems. It discusses how information technology impacts business strategy and defines the components of an information system. It also explains different types of information systems and development methods like structured analysis, object-oriented analysis, and agile development. The role of systems analysts and how they help develop high-quality information systems is also covered.
The document discusses Dubai Airports' enterprise architecture (EA) strategy and how it will be used to align business strategy and IT execution, drive operational excellence, and enable purpose-driven innovation. It provides an overview of the key components and perspectives of the EA including business strategy, processes, information, applications, technology, and how they interconnect. The document also defines IT strategy/governance and discusses how it will help analyze changes, identify relationships between initiatives and technology, and ensure components and principles are aligned over time.
Information systems (IS) are organized combinations of people, hardware, software, networks, and data that collect, process, store, and distribute information to support business processes, decision making, and competitive advantage. IS components include technologies, software, data management, and networks. IS support business functions like operations, decision making, and gaining competitive advantages. Challenges include developing effective IS solutions while managing technology issues and user needs. As trends evolve, IS have expanded from processing transactions to supporting strategic objectives through e-business and knowledge management.
My presentation in IT secure Forum 2012 conducted in Dubai 17-September-2012.
I have discussed the Business-IT alignment, how to measure it and how to measure the maturity out of it to make sure that IT is doing what it suppose to do,
I have tried to not to talk about theories only and to merge with real life examples.
more over I have talk about IT strategy , IT Governance, Knowledge management; IT metrics; Enterprise architecture and partnership
I hope you guys will find it enjoyable and benefit out of it.
This document provides an introduction to system analysis and design. It discusses the roles of information technology, information systems, and system analysts. The system development lifecycle is also introduced, including the five main phases: systems planning, systems analysis, systems design, systems implementation, and systems operation and support. Common system development tools, techniques, and methods are also outlined such as modeling, prototyping, and structured analysis.
Analyzing Business Requirements in a Visible EnterpriseDafna Levy
The document discusses business requirements analysis and process modeling using Metastorm Provision BPA. It describes how BPA can be used to close gaps in business processes by providing a common language between business and IT. BPA captures requirements as software models to gain consensus and jointly analyze and design processes.
This document discusses management information systems. It defines key concepts like information technology, hardware, software, databases, networks and how they are used to build information systems. It then discusses the role of the MIS executive in systems planning, data center management, identifying opportunities for new systems, systems analysis and design. It outlines the responsibilities of the CIO like understanding the business, establishing credibility of the systems department, and increasing technological maturity. Finally, it discusses types of IS organizational design and issues for senior IS management.
Intro to System Analysis and Design.pptxJianguangBan1
This document provides an introduction to information systems analysis and design. It outlines the learning objectives which include understanding computer-based information systems, the system development lifecycle (SDLC), information systems development methodologies, building project teams, and object-oriented analysis and design. It then covers key topics such as the definition of computer-based information systems, the principles and phases of the SDLC, different IS development methodologies including structured development, rapid application development, and agile development, and the evolution of information systems.
1
10/7/2007 Laudon & Laudon 1
Information Systems and Business Strategy
Chapter 3 (9E)
10/7/2007 Laudon & Laudon 2
Ch 3 & Questions
1. What are information systems?
Explain the nature and interaction of technology,
people, and organizational components
2. How do information systems influence organizational
competitiveness?
Understand how IT can be used to achieve and sustain
competitive advantage
2
10/7/2007 Laudon & Laudon 3
Organization of the IS Function
• Typical firm has a unit called the IS department who
are responsible for IT services
• Members of the IS department
– Programmers
– System analysts
– Project managers
– CIO
– Database administrators
– Network administrators
– Chief information officer
• End users (users of IS services outside the IS
department)
10/7/2007 Laudon & Laudon 4
How IS Impact Organizations
• Economic theories
– IS/IT enables firms to lower their transaction costs
and increase revenues with fewer employees
(transaction cost theory)
– Agency theory suggests that IS/IT enables firms to
reduce management costs and increase revenues
• Behavioral theories
– IS/IT has moved decision-making to lower levels of
management and managers make decisions faster
because information is readily available
• Post-industrial theories
– Also support flattening of hierarchies, but reasons
are that authority arises from knowledge and
competence rather than formal positions;
knowledge workers tend to be self-managed; task
force organization
3
10/7/2007 Laudon & Laudon 5
How IS Impact Organizations (cont)
• Increasing flexibility as evidenced by ability of orgs to
respond to changes and take advantage of new
opportunities
– Improved communication
– Separation of work and location
– Mass customization
– Data-mining
– The Internet
10/7/2007 Laudon & Laudon 6
How IS Impact Organizations (cont)
• The Internet and Organizations
– The Internet increases the accessibility, storage,
distribution of information and knowledge for
business firms.
– The Internet lowers the transaction and agency
costs of firms.
– Businesses are rapidly rebuilding their key business
processes based on Internet technology. Example:
online order entry, customer service, and fulfillment
of orders.
4
10/7/2007 Laudon & Laudon 7
How IS Impact Organizations (cont)
• Organizational resistance to change
– Information systems become bound up in
organizational politics because they influence access
to a key resource (information).
– Information systems potentially change an
organization’s structure, culture, politics, and work.
– Most common reason for failure of large projects is
due to organizational and political resistance to
change.
10/7/2007 Laudon & Laudon 8
IS and Business Strategy
• Business strategy determines
– The products and services a firm produces
– The industries in which the firm competes
– Competitors, suppliers, and customers of the firm
– Long-term goals of the firm
5
10.
The document discusses operationalizing analytics and Remsoft's 20 years of experience in this area. It describes operationalizing analytics as requiring a collaborative environment, reliable architecture, and repeatable processes. It outlines Remsoft's solutions over time for clients like Coillte, including optimization engines, integration with databases and models, and an interface in Excel. Lessons learned include the need to stay ahead of trends in technology and data and provide flexible modeling environments. Remsoft offers educational partnerships with discounted or free software access.
Similar to Toward innovative model based enterprise IT outsourcing (NGEBIS CAISE 2013) (20)
Model-Driven Regulatory Compliance: A Case Study of “Know Your Customer” Regu...Dr.-Ing. Sagar Sunkle
This document discusses model-driven regulatory compliance using a case study of "Know Your Customer" banking regulations. It outlines key challenges in compliance such as semantic disparity between formal regulations and business operations, generating explanations of compliance proofs, and managing changes to regulations over time. The authors propose addressing these challenges by developing formal vocabularies of regulatory and business concepts, mapping the vocabularies to address semantic differences, and using the mapped models to reason about compliance and regulatory changes. A banking example is provided to illustrate mapping KYC regulations to customer account opening processes. The proposed approach aims to help organizations more rigorously and cost-effectively ensure ongoing regulatory compliance.
Explanation of Proofs of Regulatory (Non-)Compliance Using Semantic VocabulariesDr.-Ing. Sagar Sunkle
With recent regulatory advances, modern enterprises have to not only comply with regulations but have to be prepared to provide explanation of proof of (non-)compliance. On top of compliance checking, this necessitates modeling concepts from regulations and enterprise operations so that stakeholder-specific and close to natural language explanations could be generated. We take a step in this direction by using Semantics of Business Vocabulary and Rules to model and map vocabularies of regulations and operations of enterprise. Using these vocabularies and leveraging proof generation abilities of an existing compliance checking technique, we show how such explanations can be created. Basic natural language explanations that we generate can be easily enriched by adding requisite domain knowledge to the vocabularies.
Complexity of regulatory compliance is heightened for modern enterprises due their global footprints and multiple regulations they are subjected to across varied domains and geographies and continual changes therein. This necessitates a method for compliance management that is capable of establishing compliance to both regulations and changes to regulations from a holistic perspective of governance, risk, and compliance (GRC). We propose such a method using a conceptual model of integrated GRC whereby formal compliance checking and norm change techniques for regulations represented as formal rules are coupled with business process change propagation and risk modeling. The method also considers legal and business goals of regulators and regulatees respectively in enacting compliance to regulation and changes therein. The method is substantiated with a brief example of a real world banking regulation.
Toward Better Mapping between Regulations and Operational Details of Enterpri...Dr.-Ing. Sagar Sunkle
Industry governance, risk, and compliance (GRC) solutions stand to gain from various analyses offered by formal compliance checking approaches. Such adoption is made difficult by the fact that most formal approaches assume that a mapping between concepts of regulations and models of operational specifics exists. We propose to use Semantics of Business Vocabularies and Rules along with similarity measures to create an explicit mapping between concepts of regulations and models of operational specifics of enterprises. We believe that this proposal takes a step toward adapting and leveraging formal compliance checking approaches in industry GRC solutions.
Solving Semantic Disparity and Explanation Problems in Regulatory Compliance Dr.-Ing. Sagar Sunkle
Modern enterprises increasingly face the challenge of keeping pace with regulatory compliances. Semantic disparity between regulation texts, their interpretations, and operational specifics of enterprise often leads enterprises to situations where it becomes difficult for them to establish what compliance means, how they are supposed to affect it in the operational practices, and how to prove that they comply when asked for explanations of (non-)compliance. We take a step toward reducing the semantic disparity by using semantic vocabularies to map regulations with available operational details of enterprise and utilize them in enacting compliance. We also propose to provide explanations of proofs of (non-)compliance. We report our ongoing work in this regard using the design science research (DSR) paradigm. Initial iterations of design cycle from DSR have been useful to us in identifying and matching stakeholder-specific goals in solving these problems.
Practical Goal Modeling for Enterprise ChangeContext: A Problem StatementDr.-Ing. Sagar Sunkle
Modern enterprise need to rapidly respond to changes. Goal modeling techniques are intuitive mechanisms that help in modeling and analyzing rationale behind enterprise's response to change. In spite of their intuitiveness, there are several challenges that need to be addressed for their practical adoption and application. We present a problem statement based on real world case study and possible ways in which these challenges can be addressed.
Toward Structured Simulation of What-If Analyses for EnterpriseDr.-Ing. Sagar Sunkle
This document discusses using system dynamics models derived from intentional models to simulate strategic alternatives for enterprises. Intentional models capture why and how enterprises operate but are static, while system dynamics models are useful for simulation but at a higher level of abstraction. The authors propose a method to transform intentional models into initial system dynamics models by mapping intentional elements like actors, tasks and goals to system dynamics stocks, flows and converters. Relationships between intentional elements would be realized as different types of links between system dynamics elements. This would generate initial structural system dynamics models of strategic alternatives for further simulation analysis. However, more work is needed to incorporate simulation equations that reflect the semantics and key variances between alternatives.
Today's Enterprises exist in highly dynamic environment. While enterprise-architecture (EA) based models help in holistic treatment of enterprise aspects, they are static in nature and do not represent the complex dynamic behavior of enterprise as it evolves over time. Instead of relying on guideline for simulating EA models as in other approaches, we propose a comprehensive metamodel of system dynamics and provide relation-based mapping to EA metamodel. Ongoing explorations suggest that while several challenges of simulating enterprise aspects remain unaddressed, in the least we take a step toward making simulation of EA models more structured.
To stay competitive, enterprises must respond to changes as effectively and efficiently as possible and ensure the employed courses of action, whether in response to change or even to optimize business as usual, fall within the purview of internal and external directives. Often, the traceability from change drivers that led to specific directives being applied to actual business rules implementing the directives is never captured in machine processable and analyzable manner, making compliance to directives hard to track and demonstrate. We present a model-based solution that enables a) modeling directives at various levels of detail on top of extended enterprise architecture-based models of enterprise, b) analyzing the models for compliance, and c) ensuring operationalization of directives. Initial explorations with a real world case study suggest that it might be possible to establish both top-down and bottom-up traceability for directives toward compliance checking.
Visual Modeling Editor and Ontology API-based Analysis for Decision Making in...Dr.-Ing. Sagar Sunkle
This document discusses the development of a visual modeling editor and ontology API to support decision making in enterprises. It describes three iterations of a solution to integrate enterprise architecture and intentional modeling approaches. The final proposed solution extends existing modeling tools with a metamodel, visual modeling capabilities, scripting support, and database integration to enable multi-user modeling and analysis of enterprise problems and strategic alternatives. This is aimed to better engage domain experts in the modeling process to define problems and potential solutions.
Intentional modeling for problem solving in enterprise architecture (ICEIS 20...Dr.-Ing. Sagar Sunkle
Taking and executing correct decisions is critical in enterprise systems which are characterized by rapid
changes along interconnected dimensions. Enterprise architecture (EA) frameworks offer holistic treatment
of enterprise systems but constitute only one part of the solution to problems arising due to organizational
changes. The other, less explored part is the ability to explicate and analyze the intentions behind major decisions. We investigate a step-by-step approach where intentional modeling is treated as a problem solving
technique. In our approach, an intentional model devoid of goals is obtained from the existing EA model via
mapping. It is expanded by representing the problems due to organizational changes as goals and soft goals
and alternative solutions to them. The final intentional model is transformed back to an actionable EA model
via the same mapping. In the case study, we re-imagine the evolution of our model-driven software development unit as an enterprise where two stages in its evolution are treated as as-is and to-be states and the journey
is captured in terms of intentional models. Initial explorations suggest that the mapping enables a clear path
from as-is to to-be states of an EA model while preserving the reasoning behind every alternative chosen.
Analyzing enterprise models using enterprise architecture-based ontology (MOD...Dr.-Ing. Sagar Sunkle
Development and maintenance of enterprise systems is becoming more difficult due to change drivers along multiple interconnected dimensions. It is advisable to model the enterprise first and analyze it for potential concerns. For modeling enterprises, ontologies have been considered apt and have been used in the past for the same, but application of ontologies for EA analysis based on concepts of enterprise and relations between them have been scarce. We present our ongoing work on analyzing enterprise models using EA-based ontological representation of enterprise. Our contributions are twofold: first, we show how an existing EA modeling language can be leveraged to create EA ontology and second, we show how two known EA analyses can be realized using this ontology.
Initial results suggest that ontology representation facilitates basic EA analysis prototyping due to right mix of representation and inference functionalities and is extensible for more involved EA analyses.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
4. Enterprise
IT Need 1 IT Need 2 IT Need 3
Transactional IT needs : day-to-day operational
requirements
…
Overview – Problem – State of IT systems
Transformational IT needs : responding to
change; multiple change drivers active- dynamic
supply chains, mergers and acquisitions,
globalization and regulatory
compliances, cloud and mobile technology
Both kinds originate in strategic, tactical, and
operational goals of the enterprise
5. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 1 IT System 2 IT System 3
…
…
Transactional IT needs : day-to-day operational
requirements
Overview – Problem – State of IT systems
6. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 1 IT System 2 IT System 3
…
Only local context known (if at all);
enterprise-wide context unknown
…
Transactional IT needs : day-to-day operational
requirements
Overview – Problem – State of IT systems
7. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 1 IT System 2 IT System 3
…
…
Implement or improve in
Specific
Contexts of Business Silos
Transactional IT needs : day-to-day operational
requirements
Overview – Problem – State of IT systems
8. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 1 IT System 2 IT System 3
…
Locally Operational/Optimal
…
Transactional IT needs : day-to-day operational
requirements
Overview – Problem – State of IT systems
9. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 1 IT System 2 IT System 3
…
Globally Optimal ?
…
Transactional IT needs : day-to-day operational
requirements
Overview – Problem – State of IT systems
10. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 1 IT System 2 IT System 3
…
…
Transactional IT needs : day-to-day operational
requirements
Overview – Problem – State of IT systems
11. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 2 IT System 3
…
Implementation of Functionalities servicing globally felt need may
overlap due to lack of knowledge about enterprise-wide context
…IT System 1
Transactional IT needs : day-to-day operational
requirements
Overview – Problem – State of IT systems
12. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 1 IT System 2 IT System 3
…
Specific contexts may also result in
Non-interoperable technologies
…
Transactional IT needs : day-to-day operational
requirements
Overview – Problem – State of IT systems
13. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 1 IT System 2 IT System 3
…
Globally Sub-optimal design of operational
processes
Overlapping Functionalities
Non-interoperable Technologies
…
Transactional IT needs : day-to-day operational
requirements
Overview – Problem – State of IT systems
14. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 1 IT System 2 IT System 3
…
…
Headcount-based model/harmonization of
software/ hardware etc. is insufficient
Enterprises are expecting more- outcome-
based pricing- enterprises focus on core
competencies, rest all as an end-to-end
solution by service provider
Overview – Problem- IT Outsourcing
15. Enterprise
1
IT Need 1
IT System 1
Hardware
Infra
IT Need x
IT System x
Technology
Infra
Hardware
Infra
Technology
Infra
IT Plant
Multiple IT Systems of an
Enterprise
Overview – Toward Solution
16. Enterprise
1
IT Need 1
IT
System 1
Hardware
Infra
IT Plant 1
Product Line of IT Plants
Enterprise
2
…
Technology
Infra
IT Need 1
IT
System 1
Hardware
Infra
IT Plant 1
… …
Multiple IT Systems of multiple
enterprises from same domain
Technology
Infra
Overview – Toward Solution
17. Enterprise
IT Need 1 IT Need 2 IT Need 3
IT System 1 IT System 2 IT System 3
…
Transformational needs addressed based on
experts’ knowledge
…
Overview – Problem – State of IT systems
37. Specification & Analysis of
Enterprise Models
Enterprise Simulation
Domain Models
Adaptive Systems
Business Rule
Extraction
IT Plant
Architecture
IT Systems
Architecture
Domain Model
Verification
IT Systems Models for
Change Agility
IT Systems
Architecture
Reconstruction
Enterprise
Models
Domain
Models
IT
Systems/Plant
Models
AnalysisWorld
[Model-driven]
OperationalWorld
[Model-driven]
Research Challenges
38. Enterprise
Analysis World
[Model-driven]
Specification and Analysis of Enterprise
Models
Goal
Purpose Approach
Machine-processable
enterprise models
Enterprise-wide analysis of
satisfaction of properties
Enterprises are complex
interconnected systems of
systems
Use cases- directives,
objectives, policies and
regulatory compliances and so
on, scenarios of interaction
between enterprises-
Outsourcing, M&A, etc.
Early results ontology
based enterprise
models, what-if/if-what
analyses
Techniques for
measuring properties,
quantification
Research Challenges
39. Enterprise
Analysis World
[Model-driven]
Enterprise Simulation
Optimize business process,
supply chains
Reduce risk , cost, improve
planning
Map Simulation Techniques w.r.t their
applicability
System Dynamics Time
Petri Nets workflows
State Machines events
Simulate models in concert
Create mapping between simulation
models and EA models
Create DSL to simulate multiple models
in concert
Capture behavior of Enterprise
Measure and Optimize the
effectiveness of Enterprise goals
by playing out what-if scenarios
Goal
Purpose Approach
Research Challenges
40. Enterprise
Operational World
[Model-driven]
Identify and define formal
modeling mechanism for IT
plant domain.
Identify model requirements
for IT Plant
Identify gaps between the
model requirements and
available Industry standard
models
Identify and define required
modeling elements based on
the assessment.
Pilot it with a suitable domain
Semantics
Traceability
Machine processing form
Multi organization context
Domain [Functional] Models of IT Plant
Goal
Purpose Approach
Research Challenges
41. Enterprise
Operational World
[Model-driven]
Define formal mechanism to
maintain consistency of IT plant
modeling during refinement
Verify the IT plant model for specific
properties
Examine the model refinement
requirement in IT plant
specification
Examine the existing model refine
techniques.
Adopt/enhance the existing
techniques to make them suitable
for IT Plant specification.
For model verification, define
formal mechanism to express
desirable properties of interest
Adopt/extend existing verification
techniques to verify IT plant specs
against desired properties
Consistent model refinement
Verification of desirable properties
of IT Plant specifications
Early detection of model bugs
Domain Model Verification
Goal
Purpose Approach
Research Challenges
42. Enterprise
Operational World
[Model-driven]
Understand and model the
influence of business
products and processes on IT
plant architecture in SP
environment
Map a selected IT plant
landscape in the lines of its
products and processes.
Based on study arrive at the
impact of product and process
changes on the IT plant
architecture.
Improved IT Plant planning
Adaptive technology
architecture
Dynamic provisioning of
resources
IT Plant System Architecture
Goal
Purpose Approach
USP Commoditized
Customer
Facing X √
Back office
√ √
Research Challenges
43. Enterprise
Operational World
[Model-driven]
Goal
Purpose Approach
Investigate mechanisms,
techniques for
(de)composition for variability
capturing
Varying needs of enterprises in
same domain
Customizations per enterprise may
increase app development and
management cost
IT Plant Architecture
Arrive at IT plant architecture
catering to varying needs
Composition and decomposition
mechanisms for IT plant
architecture
Investigate effect of such
mechanisms on non functional
properties
Research Challenges
44. Enterprise
Operational World
[Model-driven]
Use program comprehension
techniques, refactoring, slicing, and
clustering to extract layers and
partitions from the source code.
Using machine learning techniques like
clustering embodied in Lattix tool or
other new techniques.
IT plant Modernization
Most of the architecture/design
documents either outdated or un-
available
Identifying predefined architectural
elements and relations among
them.
Re-construct architecture from the
source code using inputs from
system/application experts.
Architecture Reconstruction
Goal
Purpose Approach
Research Challenges
45. Enterprise
Operational World
[Model-driven]
IT plant Modernization
Extract inherent operational
and business Rules
Identify the constraints and calculation
from the legacy code
Formulate standard and application level
strategies
Apply data dictionary (meanings of
database variables)
Use comments to infer meanings to rules
Apply machine learning algorithms
Rules Representation
Variability
Visualization
Formal representation for verification
Extending SBVR kind of representation
Enterprises are rule driven
Most these are legacy in nature.
To capture ever changing
regulatory policies and regulations
Business Rule Extraction
Goal
Purpose Approach
Research Challenges
46. Enterprise
Operational World
[Model-driven]
Goal
Purpose Approach
Model all aspects of IT systems
with inter-dependencies
Change Impact Analysis
Multi-layered model
Realization thru Model
transformation
Definition of change in terms
of model
Change agility in IT systems
Correctness guarantees
Models IT Systems
Research Challenges
47. Enterprise
Adaptive Enterprise IT Systems-
To meet SLAs-
To reduce people
intervention
Modeling Adaptation for IT Systems
Construct reference architecture for IT
Systems using -
MAPE-k architectural pattern
Feedback Loops
Examine Execution Traces
Investigate data logs and execution traces
to indentify what properties to monitor
and adapt
Language Support
Language to support adaptive software
development
Monitor and adapt the functioning of
IT systems with respect to their non-
functional requirements
Arrive at mechanism to implement
adaptation loop (MAPE)
Operational World
[Model-driven]
Goal
Purpose Approach
Research Challenges
48. Enterprise
How to build enterprise
models ?
Using information
flows?
How to utilize/affect
transformation of IT systems?
Which
abstractions? How
to verify that they
achieve intended
effect?
How to model
business functions?
How to capture
combination of manual
AND automated steps of
business processes?
A language for modeling an
enterprise?
Domain-specific language
drawing on ideas from
event based paradigm,
multi agent systems
Research Challenges
49. Specification & Analysis of
Enterprise Models
Enterprise Simulation
Domain Models
Adaptive Systems
Business Rule
Extraction
IT Plant
Architecture
IT Systems
Architecture
Domain Model
Verification
IT Systems Models for
Change Agility
IT Systems
Architecture
Reconstruction
Enterprise
Models
Domain
Models
IT
Systems/Plant
Models
AnalysisWorld
[Model-driven]
OperationalWorld
[Model-driven]
Summary
Globally Sub-optimal
design of operational
processes
Overlapping
Functionalities
Non-interoperable
Technologies
Dependence
on expert
knowledge
50. IT Plant Architecture
• What
– Arrive at an architecture for IT plant catering to varying needs of customers in
same domain
• Why
– Large enterprises needs plethora of applications to meet their needs.
– Needs of no two customers in same domain are exactly identical
– Various situations Service Providers need to service customer are
• Deliver as-is solutions
• Manage known , unknown configurations
• Manage known , unknown extensions
• Deliver parts and integrate existing systems
– Problems
• Not designed to manage these scenarios
• follow clone-n-own approach
• Increased ADM cost
• Customer not sure of certainty of meeting their needs
51. IT Plant Architecture
• How
– Modularity of IT plant
• Investigate mechanism, techniques for modular design for
– System of system scenario
– Multi-layer architecture
– Capturing Commonality and Variability
– Design time and Runtime variability
– Integration
• Investigate automation for COTS integration
• Evaluation of COTS for quality attributes
– Performance
– Reliability
– Configurabity
– Evaluation of NFR
52. Product Line [Family] of IT Plants
Multiple IT Systems of multiple
enterprises from same domain