This document discusses metadata harvesting and validation. It describes a validation service that checks metadata against an application profile using XML schema and Schematron rules. The validation service is modular and reusable. Metadata can be validated during harvesting or mapping. An online validation service demo is also presented. The harvesting component harvests metadata from external repositories using OAI-PMH, validates the metadata, and stores valid metadata in a repository while logging invalid records. Validation reports are generated after harvesting.
The document discusses metadata harvesting and validation. It describes a validation service that checks metadata against an application profile using XML schema and Schematron rules. An online validation demo is also presented. The harvesting infrastructure uses the OAI-PMH protocol and includes components for harvesting from multiple targets, validating metadata, and generating validation reports. An ARIADNE Harvester manages the harvesting process and interfaces with repositories, validation services, and other systems.
Migrating from HP QuickTest Pro QTP to TestMaker Object DesignerClever Moe
TestMaker is the leading open source alternative to HP Mercury tools (Load Runner, QuickTest Professional, Quality Center.) TestMaker provides immediate compatibility with thousands of new Web objects in Rich Internet Applications (RIA, using Ajax, Flex, Flash) without any test coding. In this live workshop, Frank Cohen, CEO and Founder at PushToTest, will discuss what to expect and What is missing in Open Source Test (OST) Tools
This document discusses metadata harvesting in repository networks. It provides an overview of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) and the ARIADNE validation service. It then describes the ARIADNE harvesting infrastructure and projects that use it like MACE, MELT, and GLOBE. These harvest metadata from multiple repositories and enrich it. The document concludes with information on implementing an OAI-PMH target to expose a repository's metadata.
This document discusses strategies for aggregating educational content including key technologies like metadata standards, harvesting protocols, federated search, and publishing interfaces. It describes technologies like IEEE LOM for metadata, OAI-PMH for harvesting metadata, SQI for federated search across repositories, and SPI for publishing content. Examples are given of implementing these standards and protocols in systems like the ARIADNE harvester and registry.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Android is an open source software stack for mobile devices that includes an operating system, middleware and key applications. It allows developers to write managed code in Java for the Dalvik virtual machine. The Android application framework provides components like activities, services and content providers that can be reused. It also supports hardware like cameras, GPS and accelerometers.
Android is an open source software stack for mobile devices that includes an operating system, middleware and key applications. It allows developers to write managed code in Java and offers tools for application development including an emulator, SDK and Eclipse plugin. The Android framework supports components like activities, services and content providers that communicate via intents. It uses the Dalvik VM, supports common media formats and hardware like the camera and GPS.
Ariadne harvester and validator - technical overviewBram Vandeputte
The document describes a metadata validation framework that includes a validateMetadata() method that validates metadata using different validation schemes. It supports adding new validation schemas by configuring components and schemas. Validation components extend an interface and are configured by name and properties. The framework can be integrated as a Java library or REST service. It has been implemented and configured in the ARIADNE metadata harvesting system to validate harvested metadata against different standards.
The document discusses metadata harvesting and validation. It describes a validation service that checks metadata against an application profile using XML schema and Schematron rules. An online validation demo is also presented. The harvesting infrastructure uses the OAI-PMH protocol and includes components for harvesting from multiple targets, validating metadata, and generating validation reports. An ARIADNE Harvester manages the harvesting process and interfaces with repositories, validation services, and other systems.
Migrating from HP QuickTest Pro QTP to TestMaker Object DesignerClever Moe
TestMaker is the leading open source alternative to HP Mercury tools (Load Runner, QuickTest Professional, Quality Center.) TestMaker provides immediate compatibility with thousands of new Web objects in Rich Internet Applications (RIA, using Ajax, Flex, Flash) without any test coding. In this live workshop, Frank Cohen, CEO and Founder at PushToTest, will discuss what to expect and What is missing in Open Source Test (OST) Tools
This document discusses metadata harvesting in repository networks. It provides an overview of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) and the ARIADNE validation service. It then describes the ARIADNE harvesting infrastructure and projects that use it like MACE, MELT, and GLOBE. These harvest metadata from multiple repositories and enrich it. The document concludes with information on implementing an OAI-PMH target to expose a repository's metadata.
This document discusses strategies for aggregating educational content including key technologies like metadata standards, harvesting protocols, federated search, and publishing interfaces. It describes technologies like IEEE LOM for metadata, OAI-PMH for harvesting metadata, SQI for federated search across repositories, and SPI for publishing content. Examples are given of implementing these standards and protocols in systems like the ARIADNE harvester and registry.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Android is an open source software stack for mobile devices that includes an operating system, middleware and key applications. It allows developers to write managed code in Java for the Dalvik virtual machine. The Android application framework provides components like activities, services and content providers that can be reused. It also supports hardware like cameras, GPS and accelerometers.
Android is an open source software stack for mobile devices that includes an operating system, middleware and key applications. It allows developers to write managed code in Java and offers tools for application development including an emulator, SDK and Eclipse plugin. The Android framework supports components like activities, services and content providers that communicate via intents. It uses the Dalvik VM, supports common media formats and hardware like the camera and GPS.
Ariadne harvester and validator - technical overviewBram Vandeputte
The document describes a metadata validation framework that includes a validateMetadata() method that validates metadata using different validation schemes. It supports adding new validation schemas by configuring components and schemas. Validation components extend an interface and are configured by name and properties. The framework can be integrated as a Java library or REST service. It has been implemented and configured in the ARIADNE metadata harvesting system to validate harvested metadata against different standards.
The document describes the ARIADNE experience in sharing and reusing learning resources. It discusses key technologies like metadata, harvesting, federated search, and publishing that allow learning resources to be described, collected, searched across repositories, and added to repositories. The ARIADNE infrastructure provides services like validation, transformation, harvesting, and access tools to facilitate open sharing of over 1 million learning objects among various projects and repositories around the world using open standards.
OSGi is a module system and service platform for Java that aims to overcome limitations of Java like poor support for logical partitioning, dynamic updates, and versioning at runtime. The OSGi Service Platform Architecture consists of bundles that execute within an OSGi framework and register services. The framework manages the bundles' lifecycle and provides a service layer for bundles to discover and use services. OSGi specifications have evolved over multiple releases to define the core framework and provide standardized services.
This document discusses Epam's plans to implement a private cloud structure to improve their development and provisioning processes. The private cloud will utilize an orchestrator and API to allow self-service provisioning of compute resources. This is intended to unify infrastructure, implement DevOps practices, and enable smart resource provisioning. It will transition away from the current time-consuming manual process, and allow developers to provision their own resources through quotas and templates. This is expected to improve delivery times while increasing infrastructure utilization and savings.
How to Share and Reuse Learning Resources: the ARIADNE ExperienceJoris Klerkx
This document discusses the ARIADNE experience in sharing and reusing learning resources. It describes the key technologies used in ARIADNE including metadata standards, harvesting protocols, federated search, and publishing interfaces. It provides examples of metadata validation, transformation, and harvesting workflows. ARIADNE services including repository software, validation tools, harvesting, and federated search are presented. Software quality attributes and performance results are evaluated. The conclusion discusses the open, standards-based architecture and its ability to integrate and manage learning objects across applications.
IdM in Smart Applications on Virtual InfrastructureMohammad Faraji
This document summarizes an identity management presentation. It discusses SAVI's use of Keystone as its identity manager, including integrating Keystone with the SAVI control framework, deploying a centralized Keystone, implementing fine-grained access control, and enabling federation with other testbeds. The goals are to improve authentication, authorization, and extend resources between SAVI and other systems.
This document summarizes Dr. Joris Klerkx's work on harvesting metadata from learning object repositories. It discusses key technologies like metadata standards, harvesting metadata using OAI-PMH, and federated search. It provides examples of learning object repositories and registry data models. It describes the ARIADNE harvesting infrastructure and tools for validation, transformation, and accessing learning objects. The overall workflow of harvesting metadata from multiple repositories and aggregating it is depicted.
WF and WCF with AppFabric – Application Infrastructure for OnPremise ServicesSaltmarch Media
.NET Framework 4.0 facilitates creation of Workflow services – with WCF acts as the communications scaffolding and WF4 used to implement service as long running, durable business process with coordinated interactions.. Can Developers then spend more time on business logic and less building infrastructure? This requirement is met by Windows Server AppFabric. This session explains the key features of AppFabric in providing infrastructure to improve the hosting, persistence, performance, scalability, and manageability of Workflow Services.
In this short talk I will give an overview on ideas for using new technologies such as multi touch, tabletops and more to assist researchers in various tasks. We think of it as a research suite, where we go from very small devices and displays, such as a research pod and research pad, to extremely large displays, such as research on a tabletop, wall projections or even a projection dome. Specifically in this talk I will give an example of a researchpod app and a tabletop app. More! is a mobile application that has been developed for getting more information of a researcher during a presentation at a conference. This information includes all the papers, various contact information and even the slides of the presentation currently going on. Science table, a tabletop vizualisation, is a first attempt of providing easy access to publication data in a research field by showing connections between papers and its authors in various ways.
This document summarizes and discusses several research projects focused on openness, sharing, and collaboration in scientific research using web 2.0 technologies. It describes projects that aim to make scientific literature and data more openly accessible and connect researchers. This includes tools for finding additional information about researchers and conference presentations, visually browsing and clustering related research papers, and a proposed open collaborative platform for sharing research data, services, and applications. The document discusses challenges and opportunities for further developing these Research 2.0 ideas.
This document provides information about ARIADNE, a federation of online learning repositories. It discusses ARIADNE's centers located in various countries, its new members, and its relationship to other projects like GLOBE and MACE. Diagrams show how ARIADNE harvests and indexes content using open standards and interfaces with other systems through its federated search engine. The document outlines technologies used for communication, collaboration, content delivery, and more that enable online and blended learning applications.
This document discusses large multi-touch displays and their technical details. It covers various touch input technologies like touchscreens, touchpads, and Wacom tablets. It also discusses multi-touch technologies like FTIR, DI, LLP, and DSI. Examples of multi-touch displays are given, including The Box, The Tabletop, and MTMini. Common multi-touch gestures like tap, drag, rotate, scale, and zoom are also listed. The document provides information on software protocols, trackers, and libraries for processing multi-touch input.
Processing is an open-source programming language and integrated development environment (IDE) that is used for multimedia and graphical applications like animation, visual art, and interactive design. It supports multitouch input through the TUIO protocol, which allows for tracking objects on a multitouch surface. Examples are provided to demonstrate how to use TUIO for multitouch input in Processing code and in Java code that interfaces with Processing.
The document discusses setting up an Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) target. It covers how OAI works, harvesting metadata through a browser, and setting up an OAI-PMH target, which involves mapping metadata from a repository to the OAI-PMH service and serving the results.
The document provides an overview of the IEEE Learning Object Metadata standard (LOM) in three sections. It introduces LOM as a conceptual schema for describing digital and non-digital learning resources to enable interoperability across systems. The general overview section describes the standard's structure, data types, and vocabularies. The detailed structure section lists and explains the 9 categories and associated metadata elements that make up the LOM schema.
Android is a software stack for mobile devices that includes an operating system, middleware and key applications. It allows developers to write managed code in Java for the Dalvik virtual machine. The Android SDK provides tools and APIs to develop applications that use features like its application framework, SQLite database, media support and hardware integration. Developers can create Android applications by defining activities, services and content providers and connecting them with intents in the AndroidManifest file.
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.
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
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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:
The document describes the ARIADNE experience in sharing and reusing learning resources. It discusses key technologies like metadata, harvesting, federated search, and publishing that allow learning resources to be described, collected, searched across repositories, and added to repositories. The ARIADNE infrastructure provides services like validation, transformation, harvesting, and access tools to facilitate open sharing of over 1 million learning objects among various projects and repositories around the world using open standards.
OSGi is a module system and service platform for Java that aims to overcome limitations of Java like poor support for logical partitioning, dynamic updates, and versioning at runtime. The OSGi Service Platform Architecture consists of bundles that execute within an OSGi framework and register services. The framework manages the bundles' lifecycle and provides a service layer for bundles to discover and use services. OSGi specifications have evolved over multiple releases to define the core framework and provide standardized services.
This document discusses Epam's plans to implement a private cloud structure to improve their development and provisioning processes. The private cloud will utilize an orchestrator and API to allow self-service provisioning of compute resources. This is intended to unify infrastructure, implement DevOps practices, and enable smart resource provisioning. It will transition away from the current time-consuming manual process, and allow developers to provision their own resources through quotas and templates. This is expected to improve delivery times while increasing infrastructure utilization and savings.
How to Share and Reuse Learning Resources: the ARIADNE ExperienceJoris Klerkx
This document discusses the ARIADNE experience in sharing and reusing learning resources. It describes the key technologies used in ARIADNE including metadata standards, harvesting protocols, federated search, and publishing interfaces. It provides examples of metadata validation, transformation, and harvesting workflows. ARIADNE services including repository software, validation tools, harvesting, and federated search are presented. Software quality attributes and performance results are evaluated. The conclusion discusses the open, standards-based architecture and its ability to integrate and manage learning objects across applications.
IdM in Smart Applications on Virtual InfrastructureMohammad Faraji
This document summarizes an identity management presentation. It discusses SAVI's use of Keystone as its identity manager, including integrating Keystone with the SAVI control framework, deploying a centralized Keystone, implementing fine-grained access control, and enabling federation with other testbeds. The goals are to improve authentication, authorization, and extend resources between SAVI and other systems.
This document summarizes Dr. Joris Klerkx's work on harvesting metadata from learning object repositories. It discusses key technologies like metadata standards, harvesting metadata using OAI-PMH, and federated search. It provides examples of learning object repositories and registry data models. It describes the ARIADNE harvesting infrastructure and tools for validation, transformation, and accessing learning objects. The overall workflow of harvesting metadata from multiple repositories and aggregating it is depicted.
WF and WCF with AppFabric – Application Infrastructure for OnPremise ServicesSaltmarch Media
.NET Framework 4.0 facilitates creation of Workflow services – with WCF acts as the communications scaffolding and WF4 used to implement service as long running, durable business process with coordinated interactions.. Can Developers then spend more time on business logic and less building infrastructure? This requirement is met by Windows Server AppFabric. This session explains the key features of AppFabric in providing infrastructure to improve the hosting, persistence, performance, scalability, and manageability of Workflow Services.
Similar to Metadata Harvesting And Validationv2 (8)
In this short talk I will give an overview on ideas for using new technologies such as multi touch, tabletops and more to assist researchers in various tasks. We think of it as a research suite, where we go from very small devices and displays, such as a research pod and research pad, to extremely large displays, such as research on a tabletop, wall projections or even a projection dome. Specifically in this talk I will give an example of a researchpod app and a tabletop app. More! is a mobile application that has been developed for getting more information of a researcher during a presentation at a conference. This information includes all the papers, various contact information and even the slides of the presentation currently going on. Science table, a tabletop vizualisation, is a first attempt of providing easy access to publication data in a research field by showing connections between papers and its authors in various ways.
This document summarizes and discusses several research projects focused on openness, sharing, and collaboration in scientific research using web 2.0 technologies. It describes projects that aim to make scientific literature and data more openly accessible and connect researchers. This includes tools for finding additional information about researchers and conference presentations, visually browsing and clustering related research papers, and a proposed open collaborative platform for sharing research data, services, and applications. The document discusses challenges and opportunities for further developing these Research 2.0 ideas.
This document provides information about ARIADNE, a federation of online learning repositories. It discusses ARIADNE's centers located in various countries, its new members, and its relationship to other projects like GLOBE and MACE. Diagrams show how ARIADNE harvests and indexes content using open standards and interfaces with other systems through its federated search engine. The document outlines technologies used for communication, collaboration, content delivery, and more that enable online and blended learning applications.
This document discusses large multi-touch displays and their technical details. It covers various touch input technologies like touchscreens, touchpads, and Wacom tablets. It also discusses multi-touch technologies like FTIR, DI, LLP, and DSI. Examples of multi-touch displays are given, including The Box, The Tabletop, and MTMini. Common multi-touch gestures like tap, drag, rotate, scale, and zoom are also listed. The document provides information on software protocols, trackers, and libraries for processing multi-touch input.
Processing is an open-source programming language and integrated development environment (IDE) that is used for multimedia and graphical applications like animation, visual art, and interactive design. It supports multitouch input through the TUIO protocol, which allows for tracking objects on a multitouch surface. Examples are provided to demonstrate how to use TUIO for multitouch input in Processing code and in Java code that interfaces with Processing.
The document discusses setting up an Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) target. It covers how OAI works, harvesting metadata through a browser, and setting up an OAI-PMH target, which involves mapping metadata from a repository to the OAI-PMH service and serving the results.
The document provides an overview of the IEEE Learning Object Metadata standard (LOM) in three sections. It introduces LOM as a conceptual schema for describing digital and non-digital learning resources to enable interoperability across systems. The general overview section describes the standard's structure, data types, and vocabularies. The detailed structure section lists and explains the 9 categories and associated metadata elements that make up the LOM schema.
Android is a software stack for mobile devices that includes an operating system, middleware and key applications. It allows developers to write managed code in Java for the Dalvik virtual machine. The Android SDK provides tools and APIs to develop applications that use features like its application framework, SQLite database, media support and hardware integration. Developers can create Android applications by defining activities, services and content providers and connecting them with intents in the AndroidManifest file.
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.
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
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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:
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
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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.
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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).
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* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
4. Validation Service
• Interoperability : Application Profile (AP)
• Manual check : very time consuming
• Need a tool for enforcing an AP =>
validation scheme
Best practices derived
from previous projects
• A set of validation rules such as MELT and MACE
Reusable : modular +
• Reusable & extendable inheritance possible
4
5. Validation Service
• Components :
• XML schema : structure
• schematron :
• mandatory/conditional elements
• empty fields
• vocabularies (auto generated)
• ...
• Vcard component
5
6. Validation Service
component : atomic
block which does specific
validation checking
scheme : collection of
components that
• Terminology : ensures validity against
a whole AP
• Validation Component URI : unique identifier of
a scheme
• Validation Scheme
• Validation Scheme URI :
• http://aspect-project.org/validation/ASPECTv1.0/core
6