The document summarizes the Zachman Framework, an alternative approach to organizing systems development proposed by John Zachman in 1987. The Zachman Framework organizes systems development around different perspectives (rows), including strategic planning, business owner, architect, designer, builder, and functioning system. It also addresses different aspects (columns), including data, functions, network, people, time, and motivation. This provides a more comprehensive view than traditional system development life cycles, which focus only on data and functions and view development as a linear process. The Zachman Framework emphasizes understanding each perspective and starting system development by accurately capturing the business owner's view of how the business operates.
The document discusses system design in object-oriented analysis and design (OOAD). It describes system design as deciding the high-level organization of a system into subsystems and allocating them to hardware and software components. Key aspects of system design covered include identifying inherent concurrency, defining concurrent tasks, allocating subsystems to processors and tasks, and estimating hardware resource requirements.
The document provides an overview of the Structured Systems Analysis and Design Method (SSADM). It describes SSADM as a comprehensive, structured approach to systems development that is considered the true successor to traditional system development lifecycles. The key techniques of SSADM are described as logical data modeling, data flow modeling, and entity event modeling. The stages of the SSADM methodology are then outlined, including feasibility study, investigation of the current environment, business system options, requirements specification, technical system options, logical design, and physical design.
This document discusses the use of computer-aided tools in information systems development. It begins by discussing how the focus of systems development has shifted from just getting systems to work to maintenance and improvements. It then examines various computer-aided tools available and reasons for their limited usage, such as lack of knowledge, accessibility issues, and status concerns. The document proposes a software support system to provide a framework of tools for systems development, operation, and maintenance. It outlines desired characteristics and capabilities of such a system.
This document discusses various cognitive models used in human-computer interaction design. It describes goal and task hierarchies which model user goals as a hierarchy of subgoals. It also covers linguistic models like Backus-Naur Form (BNF) and Task-Action Grammar (TAG) which model dialogs between users and systems. Other models discussed include GOMS, Cognitive Complexity Theory (CCT), the Keystroke Level Model (KLM), and Buxton's three-state model for modeling physical interactions. The models aim to represent aspects of user understanding, knowledge, intentions, and processing to inform the design of interactive systems.
Function Oriented and Object Oriented Design,Modularization techniquesnimmik4u
Design activity & its objectives – Function Oriented and Object Oriented Design- Modularization techniques - module structure and its representation, interface and information hiding, categories, specific techniques to accommodate change, stepwise refinement, top-down and bottom-up design - Handling anomalies.
The document discusses various tools used in system analysis and design including system flow charts, data flow diagrams, and data dictionaries. A system flow chart outlines the events and responsibilities in a system using standard symbols connected by arrows. A data flow diagram shows the processes, data, data storage, and data flow in and out of the system. A data dictionary is a central repository of all elements used in a system.
Here we uploaded E workshop system design with complete details. This details helpful for students who are freshers. Even software developers can refer this document. For project source code visit www.studentprojectguide.com
The document discusses various methodologies for comparing software development methodologies. It presents a theoretical model proposed by Song and Osterweil that takes a scientific approach to comparing methodologies. The model involves building process models of the methodologies, classifying components, selecting comparison topics, developing process codes, and making comparisons. It also discusses frameworks like NIMSAD that provide a structured way to evaluate methodologies by examining the problem situation, problem solver, and problem-solving process. The document provides an overview of these comparison methods.
The document discusses system design in object-oriented analysis and design (OOAD). It describes system design as deciding the high-level organization of a system into subsystems and allocating them to hardware and software components. Key aspects of system design covered include identifying inherent concurrency, defining concurrent tasks, allocating subsystems to processors and tasks, and estimating hardware resource requirements.
The document provides an overview of the Structured Systems Analysis and Design Method (SSADM). It describes SSADM as a comprehensive, structured approach to systems development that is considered the true successor to traditional system development lifecycles. The key techniques of SSADM are described as logical data modeling, data flow modeling, and entity event modeling. The stages of the SSADM methodology are then outlined, including feasibility study, investigation of the current environment, business system options, requirements specification, technical system options, logical design, and physical design.
This document discusses the use of computer-aided tools in information systems development. It begins by discussing how the focus of systems development has shifted from just getting systems to work to maintenance and improvements. It then examines various computer-aided tools available and reasons for their limited usage, such as lack of knowledge, accessibility issues, and status concerns. The document proposes a software support system to provide a framework of tools for systems development, operation, and maintenance. It outlines desired characteristics and capabilities of such a system.
This document discusses various cognitive models used in human-computer interaction design. It describes goal and task hierarchies which model user goals as a hierarchy of subgoals. It also covers linguistic models like Backus-Naur Form (BNF) and Task-Action Grammar (TAG) which model dialogs between users and systems. Other models discussed include GOMS, Cognitive Complexity Theory (CCT), the Keystroke Level Model (KLM), and Buxton's three-state model for modeling physical interactions. The models aim to represent aspects of user understanding, knowledge, intentions, and processing to inform the design of interactive systems.
Function Oriented and Object Oriented Design,Modularization techniquesnimmik4u
Design activity & its objectives – Function Oriented and Object Oriented Design- Modularization techniques - module structure and its representation, interface and information hiding, categories, specific techniques to accommodate change, stepwise refinement, top-down and bottom-up design - Handling anomalies.
The document discusses various tools used in system analysis and design including system flow charts, data flow diagrams, and data dictionaries. A system flow chart outlines the events and responsibilities in a system using standard symbols connected by arrows. A data flow diagram shows the processes, data, data storage, and data flow in and out of the system. A data dictionary is a central repository of all elements used in a system.
Here we uploaded E workshop system design with complete details. This details helpful for students who are freshers. Even software developers can refer this document. For project source code visit www.studentprojectguide.com
The document discusses various methodologies for comparing software development methodologies. It presents a theoretical model proposed by Song and Osterweil that takes a scientific approach to comparing methodologies. The model involves building process models of the methodologies, classifying components, selecting comparison topics, developing process codes, and making comparisons. It also discusses frameworks like NIMSAD that provide a structured way to evaluate methodologies by examining the problem situation, problem solver, and problem-solving process. The document provides an overview of these comparison methods.
Conceptual overview of mis and its importance in an organizationAlexander Decker
This document discusses management information systems (MIS) and their importance in organizations. It begins with defining management, information, and systems as the key components of MIS. It then explains the concept of MIS and different types of information systems, including transaction processing systems, management reporting systems, decision support systems, and executive support systems. The document outlines the basic steps to design and develop an effective MIS, including identifying information needs, collecting data, instituting reporting, and establishing quality control. Finally, it discusses the importance of MIS in organizations for supporting decision making at all levels and helping organizations progress through different growth phases.
The document is Chapter 2 of a textbook on management information systems. It discusses how businesses use different types of information systems, including transaction processing systems, management information systems, decision support systems, and executive support systems. It also describes enterprise systems, supply chain management systems, customer relationship management systems, and knowledge management systems that span the entire organization.
This document provides an overview of key concepts in modeling and simulation for decision support. It defines complex systems, open and closed systems, and hierarchical systems. It describes the differences between hard and soft problems, and the characteristics of hard systems and soft systems approaches. It also defines static and dynamic systems, and different types of models. Finally, it discusses the relationship between modeling and simulation and the key steps in a simulation process.
The document discusses requirements analysis and analysis modeling principles for software engineering. It covers key topics such as:
1. Requirements analysis specifies a software's operational characteristics and interface with other systems to establish constraints. Analysis modeling focuses on what the software needs to do, not how it will be implemented.
2. Analysis modeling principles include representing the information domain, defining functions, modeling behavior, partitioning complex problems, and moving from essential information to implementation details.
3. Common analysis techniques involve use case diagrams, class diagrams, state diagrams, data flow diagrams, and data modeling to define attributes, relationships, cardinality and modality between data objects.
This document discusses several socio-organizational issues and stakeholder requirements that must be considered when designing new computer systems. It describes organizational issues like power relationships, who benefits from systems, and ensuring all stakeholders can use systems. It also discusses capturing requirements through stakeholder analysis, socio-technical models, soft systems methodology, participatory design, and ethnographic methods. These aim to understand work contexts and stakeholder perspectives to develop systems that can be successfully adopted.
The document discusses different types of information systems used in organizations. It describes transaction processing systems, knowledge work systems, decision support systems, management information systems, and executive support systems. It also covers how information systems can support various business functions like sales, marketing, manufacturing, finance, accounting, and human resources. Finally, it discusses trends like enterprise systems, customer relationship management, supply chain management, and extended enterprises.
This document discusses Enterprise Resource Planning (ERP) systems and their impact on organizational information systems governance. It investigates ERP systems through literature research. ERP systems integrate different functional areas of a business, like marketing and manufacturing. They allow information to flow vertically and horizontally within a business to help managers make informed decisions. While ERP implementation can generate value through increased efficiency, many projects fail due to issues like high costs, employee resistance to change, and conflicts with business strategy. Major ERP providers include SAP, Oracle, and Microsoft Dynamics, with SAP having the largest market share. ERP systems are now increasingly offered as cloud-based software-as-a-service to reduce costs for small and medium-sized businesses
The document discusses the relationship between logical and physical design in system analysis and design, noting that the logical design defines system functions and components while the physical design implements the specific system, and that IPO/HIPO charts can be used to understand a system's structure and functions in a hierarchical manner by correlating its input, processing, and output steps.
System Development Life Cycle
Data, Function, Network, People, Time, Motivation What constitutes the “enterprise”?
Key enterprise architecture terms Enterprise Architecture Terms
How do you achieve perfect alignment?
Importance of alignment
Lack of Alignment
Nature of Complexity
Architectural Principles
This document provides an introduction to system analysis and design. It discusses key concepts such as:
- The phases of the system development life cycle include preliminary study, feasibility study, analysis, design, coding, testing, implementation, and maintenance.
- System analysis involves studying current business processes, identifying problems, and recommending solutions.
- System design converts the logical design from analysis into a physical design, determining system inputs, outputs, and processing.
The document discusses analyzing systems using data flow diagrams (DFDs). It explains that DFDs are a key method for analyzing data-oriented systems by graphically representing how data moves through an organization. The data flow approach has advantages over narrative explanations, including freedom from early technical commitments and better communication with users. Physical DFDs show how a system will be implemented and include details like manual vs automated processes. Structured analysis techniques are used to model system processes and document data flows and stores.
Is The Architectures Of The Convnets ) For Action...Sheila Guy
The document discusses enterprise architecture (EA), which is defined as a conceptual blueprint that defines the structure and operation of an organization. The purpose of EA is to understand how an organization can most effectively achieve its current and future objectives. Some key benefits of EA include taking a holistic approach, ensuring consistency when delivering solutions to business problems, and aligning business and IT strategies to effectively use IT assets and support the organization's goals. EA is similar to city planning in providing an overall framework and context.
The document describes the Multiview methodology for systems analysis and design. It involves 5 stages: 1) Analysis of human activity to understand organizational goals and problems, 2) Analysis of information requirements and entities, 3) Analysis and design of socio-technical aspects to understand how the system will impact users, 4) Design of the human-computer interface, and 5) Design of technical aspects. The methodology aims to develop a system specification that meets organizational and user needs from multiple perspectives.
Data architecture in enterprise architecture is the design of data for use in...Rasmita Panda
Data architecture describes how data is structured, stored, and utilized within a system. It includes conceptual, logical, and physical descriptions of data and how it maps to different applications and locations. The data architect is responsible for defining the target state of data and ensuring minor follow ups to keep enhancements aligned. Data architecture considers all relevant data entities and identifies relationships between an organization's functions, technologies, and data types.
The document provides an overview of a 7-step process for building an information system. The 7 steps are: 1) Identify and list stakeholders, 2) Identify and list actors, 3) Identify and list use cases, 4) Identify and list scenarios, 5) Identify and list steps, 6) Identify and list classes/objects, and 7) Manage work products. It describes each step in the process, including defining stakeholders, actors, use cases, scenarios, and mapping analysis to design. The process emphasizes discovery, iteration, and developing a shared understanding between stakeholders.
The document discusses the system development life cycle (SDLC), which includes various phases for developing and maintaining systems. The key phases are: system investigation, feasibility study, system analysis, system design, coding, testing, implementation, and maintenance. The feasibility study phase evaluates the technical, operational, economic, motivational, and schedule feasibility of a proposed system. The system analysis phase involves studying user requirements and the current system. System design then specifies how the new system will meet requirements through elements like data design, user interface design, and process design. This produces specifications for the system.
The systems development life cycle (SDLC) is a framework for planning, creating, testing, and deploying an information system. It includes various phases such as planning, analysis, design, implementation, and maintenance. The SDLC provides structure for system designers and developers to follow a set sequence of activities from initial planning through evaluations. Different SDLC models exist, with the waterfall model being the oldest and best known, comprising sequential stages from requirements to maintenance.
This document introduces systems analysis and design. It defines a system as a collection of components that work together to achieve objectives. It describes the main phases of the system development life cycle as preliminary study, feasibility study, detailed study, analysis, design, coding, testing, implementation, and maintenance. Each phase is described in 1-2 sentences. The purpose is to explain the process of developing and maintaining systems through an organized approach.
1. Discuss the structured system analysis and design methodologies
2. What is DSS? Discuss the components and capabilities of DSS.
3. Narrate the stages of SDLC
4. Define OOP. What are the applications of it?
The document discusses system engineering and requirements engineering for software systems. It covers topics such as:
1) The hierarchy of system elements including software, hardware, people, databases, documentation and procedures.
2) The requirements engineering process including inception, elicitation, elaboration, negotiation, specification and validation.
3) Techniques for eliciting requirements such as use cases, scenarios, interviews and collaborative requirements gathering meetings.
Conceptual overview of mis and its importance in an organizationAlexander Decker
This document discusses management information systems (MIS) and their importance in organizations. It begins with defining management, information, and systems as the key components of MIS. It then explains the concept of MIS and different types of information systems, including transaction processing systems, management reporting systems, decision support systems, and executive support systems. The document outlines the basic steps to design and develop an effective MIS, including identifying information needs, collecting data, instituting reporting, and establishing quality control. Finally, it discusses the importance of MIS in organizations for supporting decision making at all levels and helping organizations progress through different growth phases.
The document is Chapter 2 of a textbook on management information systems. It discusses how businesses use different types of information systems, including transaction processing systems, management information systems, decision support systems, and executive support systems. It also describes enterprise systems, supply chain management systems, customer relationship management systems, and knowledge management systems that span the entire organization.
This document provides an overview of key concepts in modeling and simulation for decision support. It defines complex systems, open and closed systems, and hierarchical systems. It describes the differences between hard and soft problems, and the characteristics of hard systems and soft systems approaches. It also defines static and dynamic systems, and different types of models. Finally, it discusses the relationship between modeling and simulation and the key steps in a simulation process.
The document discusses requirements analysis and analysis modeling principles for software engineering. It covers key topics such as:
1. Requirements analysis specifies a software's operational characteristics and interface with other systems to establish constraints. Analysis modeling focuses on what the software needs to do, not how it will be implemented.
2. Analysis modeling principles include representing the information domain, defining functions, modeling behavior, partitioning complex problems, and moving from essential information to implementation details.
3. Common analysis techniques involve use case diagrams, class diagrams, state diagrams, data flow diagrams, and data modeling to define attributes, relationships, cardinality and modality between data objects.
This document discusses several socio-organizational issues and stakeholder requirements that must be considered when designing new computer systems. It describes organizational issues like power relationships, who benefits from systems, and ensuring all stakeholders can use systems. It also discusses capturing requirements through stakeholder analysis, socio-technical models, soft systems methodology, participatory design, and ethnographic methods. These aim to understand work contexts and stakeholder perspectives to develop systems that can be successfully adopted.
The document discusses different types of information systems used in organizations. It describes transaction processing systems, knowledge work systems, decision support systems, management information systems, and executive support systems. It also covers how information systems can support various business functions like sales, marketing, manufacturing, finance, accounting, and human resources. Finally, it discusses trends like enterprise systems, customer relationship management, supply chain management, and extended enterprises.
This document discusses Enterprise Resource Planning (ERP) systems and their impact on organizational information systems governance. It investigates ERP systems through literature research. ERP systems integrate different functional areas of a business, like marketing and manufacturing. They allow information to flow vertically and horizontally within a business to help managers make informed decisions. While ERP implementation can generate value through increased efficiency, many projects fail due to issues like high costs, employee resistance to change, and conflicts with business strategy. Major ERP providers include SAP, Oracle, and Microsoft Dynamics, with SAP having the largest market share. ERP systems are now increasingly offered as cloud-based software-as-a-service to reduce costs for small and medium-sized businesses
The document discusses the relationship between logical and physical design in system analysis and design, noting that the logical design defines system functions and components while the physical design implements the specific system, and that IPO/HIPO charts can be used to understand a system's structure and functions in a hierarchical manner by correlating its input, processing, and output steps.
System Development Life Cycle
Data, Function, Network, People, Time, Motivation What constitutes the “enterprise”?
Key enterprise architecture terms Enterprise Architecture Terms
How do you achieve perfect alignment?
Importance of alignment
Lack of Alignment
Nature of Complexity
Architectural Principles
This document provides an introduction to system analysis and design. It discusses key concepts such as:
- The phases of the system development life cycle include preliminary study, feasibility study, analysis, design, coding, testing, implementation, and maintenance.
- System analysis involves studying current business processes, identifying problems, and recommending solutions.
- System design converts the logical design from analysis into a physical design, determining system inputs, outputs, and processing.
The document discusses analyzing systems using data flow diagrams (DFDs). It explains that DFDs are a key method for analyzing data-oriented systems by graphically representing how data moves through an organization. The data flow approach has advantages over narrative explanations, including freedom from early technical commitments and better communication with users. Physical DFDs show how a system will be implemented and include details like manual vs automated processes. Structured analysis techniques are used to model system processes and document data flows and stores.
Is The Architectures Of The Convnets ) For Action...Sheila Guy
The document discusses enterprise architecture (EA), which is defined as a conceptual blueprint that defines the structure and operation of an organization. The purpose of EA is to understand how an organization can most effectively achieve its current and future objectives. Some key benefits of EA include taking a holistic approach, ensuring consistency when delivering solutions to business problems, and aligning business and IT strategies to effectively use IT assets and support the organization's goals. EA is similar to city planning in providing an overall framework and context.
The document describes the Multiview methodology for systems analysis and design. It involves 5 stages: 1) Analysis of human activity to understand organizational goals and problems, 2) Analysis of information requirements and entities, 3) Analysis and design of socio-technical aspects to understand how the system will impact users, 4) Design of the human-computer interface, and 5) Design of technical aspects. The methodology aims to develop a system specification that meets organizational and user needs from multiple perspectives.
Data architecture in enterprise architecture is the design of data for use in...Rasmita Panda
Data architecture describes how data is structured, stored, and utilized within a system. It includes conceptual, logical, and physical descriptions of data and how it maps to different applications and locations. The data architect is responsible for defining the target state of data and ensuring minor follow ups to keep enhancements aligned. Data architecture considers all relevant data entities and identifies relationships between an organization's functions, technologies, and data types.
The document provides an overview of a 7-step process for building an information system. The 7 steps are: 1) Identify and list stakeholders, 2) Identify and list actors, 3) Identify and list use cases, 4) Identify and list scenarios, 5) Identify and list steps, 6) Identify and list classes/objects, and 7) Manage work products. It describes each step in the process, including defining stakeholders, actors, use cases, scenarios, and mapping analysis to design. The process emphasizes discovery, iteration, and developing a shared understanding between stakeholders.
The document discusses the system development life cycle (SDLC), which includes various phases for developing and maintaining systems. The key phases are: system investigation, feasibility study, system analysis, system design, coding, testing, implementation, and maintenance. The feasibility study phase evaluates the technical, operational, economic, motivational, and schedule feasibility of a proposed system. The system analysis phase involves studying user requirements and the current system. System design then specifies how the new system will meet requirements through elements like data design, user interface design, and process design. This produces specifications for the system.
The systems development life cycle (SDLC) is a framework for planning, creating, testing, and deploying an information system. It includes various phases such as planning, analysis, design, implementation, and maintenance. The SDLC provides structure for system designers and developers to follow a set sequence of activities from initial planning through evaluations. Different SDLC models exist, with the waterfall model being the oldest and best known, comprising sequential stages from requirements to maintenance.
This document introduces systems analysis and design. It defines a system as a collection of components that work together to achieve objectives. It describes the main phases of the system development life cycle as preliminary study, feasibility study, detailed study, analysis, design, coding, testing, implementation, and maintenance. Each phase is described in 1-2 sentences. The purpose is to explain the process of developing and maintaining systems through an organized approach.
1. Discuss the structured system analysis and design methodologies
2. What is DSS? Discuss the components and capabilities of DSS.
3. Narrate the stages of SDLC
4. Define OOP. What are the applications of it?
The document discusses system engineering and requirements engineering for software systems. It covers topics such as:
1) The hierarchy of system elements including software, hardware, people, databases, documentation and procedures.
2) The requirements engineering process including inception, elicitation, elaboration, negotiation, specification and validation.
3) Techniques for eliciting requirements such as use cases, scenarios, interviews and collaborative requirements gathering meetings.
The document discusses system engineering and requirements engineering processes. It provides details on:
1) The hierarchy of system modeling which defines processes, represents behavior and inputs/outputs, and links components.
2) Business process engineering which focuses on enterprise goals and creates models and process frameworks.
3) Requirements engineering processes like elicitation, analysis, negotiation and validation to understand customer needs and agree on deliverables.
This document describes the development of an employee management system. It discusses:
1) The programming tools used - Microsoft Access for the database and C# with .NET Framework for the application. Access allows constructing relational databases while C# provides an object-oriented interface.
2) The database design, which includes 6 tables - one main employee table and 5 child tables for additional employee details like work history, time records, and contact information. The tables are related through primary and foreign keys.
3) The development process, which first analyzed user needs, designed the database structure, then constructed the graphical user interface in the application to interact with the database according to its structure.
Software Development Methodologies-HSM, SSADMNana Sarpong
SSADM is a structured methodology for analyzing and designing computer systems. It is a waterfall approach with 5 main stages: 1) Feasibility study, 2) Requirements analysis, 3) Requirements specification, 4) Logical system specification, and 5) Physical system design. Each stage produces specific outputs and further refines the system requirements and design. SSADM provides standards and guidelines for documentation, techniques, and project structure.
The document discusses the system development life cycle (SDLC) process for developing computer systems and information systems. It describes the five main phases of the SDLC: 1) planning, 2) analysis, 3) design, 4) implementation, and 5) operation and support. The planning phase involves identifying the potential project and defining requirements. The analysis phase includes gathering requirements through methods like interviews. The design phase covers structuring system requirements. The implementation phase is when coding and testing occurs. The operation and support phase refers to maintaining the system.
Applies physics and basic engineering
principals to the enterprise as a whole
Tool for engineering and manufacturing
enterprises
Has a defined set of rules to follow for
successful implementations
The document describes the development of an employee management system. It discusses analyzing the data needed for the system and designing relational database tables to store employee information. This includes tables for employee details, work history, time records, salary, contacts, and holidays. The document also covers using C# and Microsoft Access to build the graphical user interface and connect it to the backend database. Functions are implemented to retrieve, add, update and delete employee records from the database.
The document discusses software architecture and design patterns. It covers topics like envisioning architecture, quality attributes, architectural patterns, reference models and architectures. It describes the architecture business cycle and how architecture is influenced by technical, business and social factors. It also discusses creating and designing architecture, documenting architectures, and reconstructing software architectures. The key aspects covered include architectural structures and views, tactics for achieving qualities like availability, modifiability and more.
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.
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.
“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.
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.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
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.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
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
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.
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
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.