Suche senden
Hochladen
Xi tcodes screenshots
•
Als DOC, PDF herunterladen
•
0 gefällt mir
•
1,676 views
Probal Sil
Folgen
Technologie
Melden
Teilen
Melden
Teilen
1 von 12
Jetzt herunterladen
Empfohlen
Антон Колин из компании Teamlead cделает обзор Atlassian Service Desk и покажет его плюсы и минусы, с которыми пришлось столкнуться в рамках реальных проектов. Кроме того, Антон представит альтернативное решение проблем, связанных с Service Desk.
Антон Колин, Moscow Atlassian Meetup 21 апреля, Mail.Ru Group
Антон Колин, Moscow Atlassian Meetup 21 апреля, Mail.Ru Group
Mail.ru Group
Soap ui and soapui pro course contents
Soap ui and soapui pro course contents
Probal Sil
« La loi du 18 juin 2014 et la réforme du statut des baux commerciaux (1re partie) », par Pierre GARBIT
RLDA 96 - Loi Pinel
RLDA 96 - Loi Pinel
foisy
La historia trata de una pqequeña niña que escapa de su hogar, donde finalmente su familia es la que participa en el circo...
Ximena y el circo gitano
Ximena y el circo gitano
belkis1305
Xe nâng hàng Hyundai tại Việt Nam Hyundai forklift in Viet Nam Liên hệ/ Contact: Mr Dũng 0986.59.1986 www.xenanghyundai.net / www.xenanghangvn.net
Xe nâng hàng Hyundai - Hyundai forklift in Viet Nam
Xe nâng hàng Hyundai - Hyundai forklift in Viet Nam
dungpt3005
Una conferència molt dolça!
Xocolata pp
Xocolata pp
Departament d'Educació - Generalitat de Catalunya
Xestion integrada de rrhh
Xestion integrada de rrhh
ballenaroja
There are already many outstanding open-source monitoring systems. However, with rapid growing businesses and specific requirements of internet companies, the existing open-source monitoring systems are not better enough on performance and scalability. Under the situation, Open-Falcon’s main distinguishing features compared to other monitoring system are: - Scalability: Scalable monitoring system is necessary to support rapid business growth. Each module of Open-Falcon is super easy to scale horizontally. - Performance: With RRA(Round Robin Archive) mechanism, the one-year history data of 100+ metrics could be returned in just one second. - High Availability: No criticle single point of failure, easy to operate and deploy. - Flexibility: Falcon-agent has already 400+ built-in server metrics. Users can collect their customized metrics by writing plugins or just simply run a script/program to relay metrics to falcon-agent. - Efficiency: For easier management of alerting rules, Open-Falcon supports strategy templating, inheritance, and multiple alerting method, and callback for recovery. User-Friendly Dashboard: Open-Falcon could present multidimensional graph, including user-defined dashboard/screen. SRECON 2017 Asia/Australia https://www.usenix.org/conference/srecon17asia/program/presentation/ou
Open-Falcon: A Distributed and High-Performance Monitoring System
Open-Falcon: A Distributed and High-Performance Monitoring System
Yao-Wei Ou
Empfohlen
Антон Колин из компании Teamlead cделает обзор Atlassian Service Desk и покажет его плюсы и минусы, с которыми пришлось столкнуться в рамках реальных проектов. Кроме того, Антон представит альтернативное решение проблем, связанных с Service Desk.
Антон Колин, Moscow Atlassian Meetup 21 апреля, Mail.Ru Group
Антон Колин, Moscow Atlassian Meetup 21 апреля, Mail.Ru Group
Mail.ru Group
Soap ui and soapui pro course contents
Soap ui and soapui pro course contents
Probal Sil
« La loi du 18 juin 2014 et la réforme du statut des baux commerciaux (1re partie) », par Pierre GARBIT
RLDA 96 - Loi Pinel
RLDA 96 - Loi Pinel
foisy
La historia trata de una pqequeña niña que escapa de su hogar, donde finalmente su familia es la que participa en el circo...
Ximena y el circo gitano
Ximena y el circo gitano
belkis1305
Xe nâng hàng Hyundai tại Việt Nam Hyundai forklift in Viet Nam Liên hệ/ Contact: Mr Dũng 0986.59.1986 www.xenanghyundai.net / www.xenanghangvn.net
Xe nâng hàng Hyundai - Hyundai forklift in Viet Nam
Xe nâng hàng Hyundai - Hyundai forklift in Viet Nam
dungpt3005
Una conferència molt dolça!
Xocolata pp
Xocolata pp
Departament d'Educació - Generalitat de Catalunya
Xestion integrada de rrhh
Xestion integrada de rrhh
ballenaroja
There are already many outstanding open-source monitoring systems. However, with rapid growing businesses and specific requirements of internet companies, the existing open-source monitoring systems are not better enough on performance and scalability. Under the situation, Open-Falcon’s main distinguishing features compared to other monitoring system are: - Scalability: Scalable monitoring system is necessary to support rapid business growth. Each module of Open-Falcon is super easy to scale horizontally. - Performance: With RRA(Round Robin Archive) mechanism, the one-year history data of 100+ metrics could be returned in just one second. - High Availability: No criticle single point of failure, easy to operate and deploy. - Flexibility: Falcon-agent has already 400+ built-in server metrics. Users can collect their customized metrics by writing plugins or just simply run a script/program to relay metrics to falcon-agent. - Efficiency: For easier management of alerting rules, Open-Falcon supports strategy templating, inheritance, and multiple alerting method, and callback for recovery. User-Friendly Dashboard: Open-Falcon could present multidimensional graph, including user-defined dashboard/screen. SRECON 2017 Asia/Australia https://www.usenix.org/conference/srecon17asia/program/presentation/ou
Open-Falcon: A Distributed and High-Performance Monitoring System
Open-Falcon: A Distributed and High-Performance Monitoring System
Yao-Wei Ou
Hr structural auths
Hr structural auths
hkodali
Trigger bi process chain from ecc ( Real Time data Extraction)
Trigger bi process chain from ecc
Trigger bi process chain from ecc
Obaid shaikh
Description About Most Powerful Frame Work
Introductiontoapachecamel 110131060022-phpapp01
Introductiontoapachecamel 110131060022-phpapp01
dheeraj kumar
Transaction launcher
Transaction launcher
kalyan238
aplikom
aplikom
Videoguy
Technologies Based on Artificial Intelligence: Machine Learning: A subfield of AI that uses algorithms to enable systems to learn from data and make predictions or decisions without being explicitly programmed. Natural Language Processing (NLP): A branch of AI that focuses on enabling computers to understand, interpret, and generate human language. Computer Vision: A field of AI that deals with the processing and analysis of visual information using computer algorithms. Robotics: AI-powered robots and automation systems that can perform tasks in manufacturing, healthcare, retail, and other industries. Neural Networks: A type of machine learning algorithm modeled after the structure and function of the human brain. Expert Systems: AI systems that mimic the decision-making ability of a human expert in a specific field. Chatbots: AI-powered virtual assistants that can interact with users through text-based or voice-based interfaces.Technologies Based on Artificial Intelligence: Machine Learning: A subfield of AI that uses algorithms to enable systems to learn from data and make predictions or decisions without being explicitly programmed. Natural Language Processing (NLP): A branch of AI that focuses on enabling computers to understand, interpret, and generate human language. Computer Vision: A field of AI that deals with the processing and analysis of visual information using computer algorithms. Robotics: AI-powered robots and automation systems that can perform tasks in manufacturing, healthcare, retail, and other industries. Neural Networks: A type of machine learning algorithm modeled after the structure and function of the human brain. Expert Systems: AI systems that mimic the decision-making ability of a human expert in a specific field. Chatbots: AI-powered virtual assistants that can interact with users through text-based or voice-based interfaces.Technologies Based on Artificial Intelligence: Machine Learning: A subfield of AI that uses algorithms to enable systems to learn from data and make predictions or decisions without being explicitly programmed. Natural Language Processing (NLP): A branch of AI that focuses on enabling computers to understand, interpret, and generate human language. Computer Vision: A field of AI that deals with the processing and analysis of visual information using computer algorithms. Robotics: AI-powered robots and automation systems that can perform tasks in manufacturing, healthcare, retail, and other industries. Neural Networks: A type of machine learning algorithm modeled after the structure and function of the human brain. Expert Systems: AI systems that mimic the decision-making ability of a human expert in a specific field. Chatbots: AI-powered virtual assistants that can interact with users through text-based or voice-based interfaces.Technologies Based on Artificial Intelligence: Machine Learning: A subfield of AI that uses algorithms to enable systems to learn from data and make predictions or decisio
Lightning Flofghfhfghfhfhfw Builder.pptx
Lightning Flofghfhfghfhfhfw Builder.pptx
Vkrish Peru
Lo extraction – part 5 sales and distribution (sd) datasource overview
Lo extraction – part 5 sales and distribution (sd) datasource overview
JNTU University
Pi deploying jdbc drivers in pi 7.1 x systems
Pi deploying jdbc drivers in pi 7.1 x systems
Pi deploying jdbc drivers in pi 7.1 x systems
Felipe Leite
SAP PR released
SAP PR released
SAP PR released
piwal123
Today's Cloud environments poses new challenges for application developers: Hiding Cloud infrastructure from business logic, assembling components on heterogeneous and distributed Cloud environment, optimizing the provisioning of the required Cloud resources and moving application components around to recompose the application. This presentation will demonstrate how to use Apache Tuscany and the Service Component Architecture (SCA) to assemble an application composed of several service components (written in Java, Python and C++) and deploy it to a distributed Cloud (EC2, Eucalyptus, Google AppEngine). We will show how to take the SCA assembly and automate the provisioning and configuration of the cloud platform services required by the application components on each platform, using Apache Libcloud and Apache Deltacloud. We will also illustrate how to encapsulate Cloud infrastructure services (Data store, queueing etc) as SCA components to simplify the construction and assembly of the application, and how to move components around, rewire the application to adjust to new business and Cloud deployment conditions.
SCA Reaches the Cloud
SCA Reaches the Cloud
Luciano Resende
Integrate Your Salesforce to SAP ERP. Learn how a 5-star AppExchange Certified Adapter and an SAP Certified Integration solution for SAP ERP can help your organization improve business processes and enhance customer experience.
SAP and Salesforce Integration
SAP and Salesforce Integration
Glenn Johnson
SAP WORKFLOW
Creating attachments to work items or to user decisions in workflows
Creating attachments to work items or to user decisions in workflows
Hicham Khallouki
Implementing API Facade using WSO2 API Management Platform
Implementing API Facade using WSO2 API Management Platform
WSO2
Dynamic variant creation
Dynamic variant creation
Dynamic variant creation
young moon woo
Akamai Developer General Session
Akamai Developer General Session
Akamai Developer General Session
Akamai Developers & Admins
Cloud Connectivity Service
Cloud Connectivity Service
jhpark
Good document by Mr. Sridhar Vasudevan. Must read.
Sap query creation and transport procedure in ecc6
Sap query creation and transport procedure in ecc6
bluechxi
Spca2014 share point azure_the_best_of_friends_moneypenny
Spca2014 share point azure_the_best_of_friends_moneypenny
NCCOMMS
Right IT Services Brown-bag about the new Salesforce Lightning.
Rits Brown Bag - Salesforce Lightning
Rits Brown Bag - Salesforce Lightning
Right IT Services
Management Cockpit (SEM-CPM-MC) Step by Step Creation
Management Cockpit (SEM-CPM-MC) Step by Step Creation
Rahul Desai
💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨🏫👨💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
UiPathCommunity
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
Weitere ähnliche Inhalte
Ähnlich wie Xi tcodes screenshots
Hr structural auths
Hr structural auths
hkodali
Trigger bi process chain from ecc ( Real Time data Extraction)
Trigger bi process chain from ecc
Trigger bi process chain from ecc
Obaid shaikh
Description About Most Powerful Frame Work
Introductiontoapachecamel 110131060022-phpapp01
Introductiontoapachecamel 110131060022-phpapp01
dheeraj kumar
Transaction launcher
Transaction launcher
kalyan238
aplikom
aplikom
Videoguy
Technologies Based on Artificial Intelligence: Machine Learning: A subfield of AI that uses algorithms to enable systems to learn from data and make predictions or decisions without being explicitly programmed. Natural Language Processing (NLP): A branch of AI that focuses on enabling computers to understand, interpret, and generate human language. Computer Vision: A field of AI that deals with the processing and analysis of visual information using computer algorithms. Robotics: AI-powered robots and automation systems that can perform tasks in manufacturing, healthcare, retail, and other industries. Neural Networks: A type of machine learning algorithm modeled after the structure and function of the human brain. Expert Systems: AI systems that mimic the decision-making ability of a human expert in a specific field. Chatbots: AI-powered virtual assistants that can interact with users through text-based or voice-based interfaces.Technologies Based on Artificial Intelligence: Machine Learning: A subfield of AI that uses algorithms to enable systems to learn from data and make predictions or decisions without being explicitly programmed. Natural Language Processing (NLP): A branch of AI that focuses on enabling computers to understand, interpret, and generate human language. Computer Vision: A field of AI that deals with the processing and analysis of visual information using computer algorithms. Robotics: AI-powered robots and automation systems that can perform tasks in manufacturing, healthcare, retail, and other industries. Neural Networks: A type of machine learning algorithm modeled after the structure and function of the human brain. Expert Systems: AI systems that mimic the decision-making ability of a human expert in a specific field. Chatbots: AI-powered virtual assistants that can interact with users through text-based or voice-based interfaces.Technologies Based on Artificial Intelligence: Machine Learning: A subfield of AI that uses algorithms to enable systems to learn from data and make predictions or decisions without being explicitly programmed. Natural Language Processing (NLP): A branch of AI that focuses on enabling computers to understand, interpret, and generate human language. Computer Vision: A field of AI that deals with the processing and analysis of visual information using computer algorithms. Robotics: AI-powered robots and automation systems that can perform tasks in manufacturing, healthcare, retail, and other industries. Neural Networks: A type of machine learning algorithm modeled after the structure and function of the human brain. Expert Systems: AI systems that mimic the decision-making ability of a human expert in a specific field. Chatbots: AI-powered virtual assistants that can interact with users through text-based or voice-based interfaces.Technologies Based on Artificial Intelligence: Machine Learning: A subfield of AI that uses algorithms to enable systems to learn from data and make predictions or decisio
Lightning Flofghfhfghfhfhfw Builder.pptx
Lightning Flofghfhfghfhfhfw Builder.pptx
Vkrish Peru
Lo extraction – part 5 sales and distribution (sd) datasource overview
Lo extraction – part 5 sales and distribution (sd) datasource overview
JNTU University
Pi deploying jdbc drivers in pi 7.1 x systems
Pi deploying jdbc drivers in pi 7.1 x systems
Pi deploying jdbc drivers in pi 7.1 x systems
Felipe Leite
SAP PR released
SAP PR released
SAP PR released
piwal123
Today's Cloud environments poses new challenges for application developers: Hiding Cloud infrastructure from business logic, assembling components on heterogeneous and distributed Cloud environment, optimizing the provisioning of the required Cloud resources and moving application components around to recompose the application. This presentation will demonstrate how to use Apache Tuscany and the Service Component Architecture (SCA) to assemble an application composed of several service components (written in Java, Python and C++) and deploy it to a distributed Cloud (EC2, Eucalyptus, Google AppEngine). We will show how to take the SCA assembly and automate the provisioning and configuration of the cloud platform services required by the application components on each platform, using Apache Libcloud and Apache Deltacloud. We will also illustrate how to encapsulate Cloud infrastructure services (Data store, queueing etc) as SCA components to simplify the construction and assembly of the application, and how to move components around, rewire the application to adjust to new business and Cloud deployment conditions.
SCA Reaches the Cloud
SCA Reaches the Cloud
Luciano Resende
Integrate Your Salesforce to SAP ERP. Learn how a 5-star AppExchange Certified Adapter and an SAP Certified Integration solution for SAP ERP can help your organization improve business processes and enhance customer experience.
SAP and Salesforce Integration
SAP and Salesforce Integration
Glenn Johnson
SAP WORKFLOW
Creating attachments to work items or to user decisions in workflows
Creating attachments to work items or to user decisions in workflows
Hicham Khallouki
Implementing API Facade using WSO2 API Management Platform
Implementing API Facade using WSO2 API Management Platform
WSO2
Dynamic variant creation
Dynamic variant creation
Dynamic variant creation
young moon woo
Akamai Developer General Session
Akamai Developer General Session
Akamai Developer General Session
Akamai Developers & Admins
Cloud Connectivity Service
Cloud Connectivity Service
jhpark
Good document by Mr. Sridhar Vasudevan. Must read.
Sap query creation and transport procedure in ecc6
Sap query creation and transport procedure in ecc6
bluechxi
Spca2014 share point azure_the_best_of_friends_moneypenny
Spca2014 share point azure_the_best_of_friends_moneypenny
NCCOMMS
Right IT Services Brown-bag about the new Salesforce Lightning.
Rits Brown Bag - Salesforce Lightning
Rits Brown Bag - Salesforce Lightning
Right IT Services
Management Cockpit (SEM-CPM-MC) Step by Step Creation
Management Cockpit (SEM-CPM-MC) Step by Step Creation
Rahul Desai
Ähnlich wie Xi tcodes screenshots
(20)
Hr structural auths
Hr structural auths
Trigger bi process chain from ecc
Trigger bi process chain from ecc
Introductiontoapachecamel 110131060022-phpapp01
Introductiontoapachecamel 110131060022-phpapp01
Transaction launcher
Transaction launcher
aplikom
aplikom
Lightning Flofghfhfghfhfhfw Builder.pptx
Lightning Flofghfhfghfhfhfw Builder.pptx
Lo extraction – part 5 sales and distribution (sd) datasource overview
Lo extraction – part 5 sales and distribution (sd) datasource overview
Pi deploying jdbc drivers in pi 7.1 x systems
Pi deploying jdbc drivers in pi 7.1 x systems
SAP PR released
SAP PR released
SCA Reaches the Cloud
SCA Reaches the Cloud
SAP and Salesforce Integration
SAP and Salesforce Integration
Creating attachments to work items or to user decisions in workflows
Creating attachments to work items or to user decisions in workflows
Implementing API Facade using WSO2 API Management Platform
Implementing API Facade using WSO2 API Management Platform
Dynamic variant creation
Dynamic variant creation
Akamai Developer General Session
Akamai Developer General Session
Cloud Connectivity Service
Cloud Connectivity Service
Sap query creation and transport procedure in ecc6
Sap query creation and transport procedure in ecc6
Spca2014 share point azure_the_best_of_friends_moneypenny
Spca2014 share point azure_the_best_of_friends_moneypenny
Rits Brown Bag - Salesforce Lightning
Rits Brown Bag - Salesforce Lightning
Management Cockpit (SEM-CPM-MC) Step by Step Creation
Management Cockpit (SEM-CPM-MC) Step by Step Creation
Kürzlich hochgeladen
💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨🏫👨💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
UiPathCommunity
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
In this talk, we are going to cover the use-case of food image generation at Delivery Hero, its impact and the challenges. In particular, we will present our image scoring solution for filtering out inappropriate images and elaborate on the models we are using.
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Zilliz
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
WSO2
The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
writing some innovation for development and search
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
Explore how multimodal embeddings work with Milvus. We will see how you can explore a popular multimodal model - CLIP - on a popular dataset - CIFAR 10. You use CLIP to create the embeddings of the input data, Milvus to store the embeddings of the multimodal data (sometimes termed “multimodal embeddings”), and we will then explore the embeddings.
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Zilliz
ICT role in 21 century education. How to ICT help in education
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
jfdjdjcjdnsjd
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
MINDCTI Revenue Release Quarter 1 2024
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
MIND CTI
Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Zilliz
DBX 1Q24 Investor Presentation
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Dropbox
Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Angeliki Cooney
This reviewer is for the second quarter of Empowerment Technology / ICT in Grade 11
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
MadyBayot
The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
apidays
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
Kürzlich hochgeladen
(20)
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Xi tcodes screenshots
1.
SAP XI TCODES
with Screenshots SXMB_ADM Integration Engine Administration SXMB_IFR Start Integration Builder
2.
SXMB_MONI Integration Engine
Monitoring
3.
SXI_MONITOR SLDAPICUST
4.
SXI_CACHE SXMB_MONI_BPE
5.
Message Display Tool http://dl36-118.usa.abc.com:50000/MessagingSystem/monitor/monitor.jsp XI
Tools http://dl36-118.usa.abc.com:50000/rep/start/index.jsp XI Start Page/
6.
http://dl36-118.usa.abc.com:50000/sld/index.jsp http://dl36-118.usa.abc.com:50000/rwb
7.
http://dl36-118.usa.abc.com:50000/exchangeProfile http://dl36-118.usa.abc.com:50000/CPACache
8.
SPROXY ABAP Proxy
Generation
9.
SWF_XI_PBUILDER IDX5 Searching for
IDOC’s in XI. SAP Adapter /IDOC Monitoring If you are looking for IDOCS to and from XI use transaction IDX5. It is significantly faster than SXMB_MONI and the RWB
10.
SICF Pipeline Access
11.
12.
SXI_MAPPING_Test Test ABAP
Mapping
Jetzt herunterladen