This document discusses Oracle Fusion HCM integration and the File Based Loader. It provides an overview of the File Based Loader and how it can be used to load HR data from a source system into Oracle Fusion HCM through flat files. It describes the data loading process, supported business objects, file structure, loading sequence and provides sample data and mappings. The document also discusses how to handle loading flexible fields and the difference between data setup online in Fusion HCM versus data converted using the File Based Loader.
The document discusses Oracle Fusion HCM data import capabilities. It describes the file-based loader and spreadsheet loader. The file-based loader can import large data volumes and object histories, while the spreadsheet loader is best for smaller datasets and initial setup. Both support importing employee and organizational data. Future enhancements may include flexfield configuration in spreadsheets and consolidating the import/load process.
The document discusses two mechanisms for importing data into Oracle Fusion Human Capital Management: 1) the HCM File Base Loader (FBL), which helps load complex hierarchical data and supports large data volumes, and 2) the Spreadsheet Data Loader, which helps with simple hierarchical and non-hierarchical data but has limitations on data volume. The FBL process involves configuring the load, defining business objects, generating mapping files, importing source data to stage tables, loading data to application tables, and fixing errors.
The document describes several product integrations for Oracle Fusion HCM, including integrations for competency data from PDI Ninth House, tax filing data from ADP Transporter, benefits data using BenefitsXML, and payroll data from ADP Connection for PayForce. Future plans include enhancements to file-based and spreadsheet loaders, HCM extracts, and adding web services integrations.
The document discusses Oracle Fusion HCM extract tools which allow exporting large volumes of complex data into output files. It describes the key elements of an HCM extract definition such as parameters, blocks, records, and delivery options. It also demonstrates how to create an extract definition, integrate it with BI Publisher to generate templates, and run the extract process to output data. Future enhancements planned for HCM extracts are also mentioned.
EPM, ERP, Cloud and On-Premise – All options explained - OOW CON9532Ray Février
Oracle Enterprise Performance Management provides multiple and extensive integration options with both Oracle and non-Oracle enterprise resource planning systems, both on premises and in the cloud. This session explains all the options and their respective benefits, plus it discusses the future roadmap for integration functionality.
I’m happy to present my second Quick Preview this year, covering the upcoming SuccessFactors release, which is already live in all preview instances since yesterday.
Please keep in mind, that this compilation is not intended to be complete, but rather a snippet of features which customers often request or can be seen as a major enhancement with great impact.
This document discusses Oracle Fusion Procurement and Spend Analytics. It provides an overview of the features and capabilities, including pre-built analytics content to provide insights into purchasing, sourcing, and supplier performance. Examples of reports and dashboards are demonstrated. The value of Oracle's prebuilt analytics for Fusion Applications is discussed.
The document discusses Oracle Fusion HCM data import capabilities. It describes the file-based loader and spreadsheet loader. The file-based loader can import large data volumes and object histories, while the spreadsheet loader is best for smaller datasets and initial setup. Both support importing employee and organizational data. Future enhancements may include flexfield configuration in spreadsheets and consolidating the import/load process.
The document discusses two mechanisms for importing data into Oracle Fusion Human Capital Management: 1) the HCM File Base Loader (FBL), which helps load complex hierarchical data and supports large data volumes, and 2) the Spreadsheet Data Loader, which helps with simple hierarchical and non-hierarchical data but has limitations on data volume. The FBL process involves configuring the load, defining business objects, generating mapping files, importing source data to stage tables, loading data to application tables, and fixing errors.
The document describes several product integrations for Oracle Fusion HCM, including integrations for competency data from PDI Ninth House, tax filing data from ADP Transporter, benefits data using BenefitsXML, and payroll data from ADP Connection for PayForce. Future plans include enhancements to file-based and spreadsheet loaders, HCM extracts, and adding web services integrations.
The document discusses Oracle Fusion HCM extract tools which allow exporting large volumes of complex data into output files. It describes the key elements of an HCM extract definition such as parameters, blocks, records, and delivery options. It also demonstrates how to create an extract definition, integrate it with BI Publisher to generate templates, and run the extract process to output data. Future enhancements planned for HCM extracts are also mentioned.
EPM, ERP, Cloud and On-Premise – All options explained - OOW CON9532Ray Février
Oracle Enterprise Performance Management provides multiple and extensive integration options with both Oracle and non-Oracle enterprise resource planning systems, both on premises and in the cloud. This session explains all the options and their respective benefits, plus it discusses the future roadmap for integration functionality.
I’m happy to present my second Quick Preview this year, covering the upcoming SuccessFactors release, which is already live in all preview instances since yesterday.
Please keep in mind, that this compilation is not intended to be complete, but rather a snippet of features which customers often request or can be seen as a major enhancement with great impact.
This document discusses Oracle Fusion Procurement and Spend Analytics. It provides an overview of the features and capabilities, including pre-built analytics content to provide insights into purchasing, sourcing, and supplier performance. Examples of reports and dashboards are demonstrated. The value of Oracle's prebuilt analytics for Fusion Applications is discussed.
This document discusses Oracle Fusion's geography model, including geography types, structures, and hierarchies. It covers defining address style formats, validating addresses, cleansing addresses, and importing geography structures and hierarchies. It emphasizes the importance of considering implementation needs before modifying or importing geography data due to data integrity reasons. The document directs readers to sample geography data and procedures on Oracle's support website for hands-on practice.
This powerpoint slide deck is the presentation given at the Microsoft center in Waltham, MA titled Leading Practices and Insights for Managing Data Integration Initiatives.
Topics covered include:
Key Drivers
Approaches and Strategy
Tools and Products
Useful Case Studies
Success Factors
Kaizentric is a Data Analytics firm, based in Chennai, India. Statistical Analysis is performed on a well-built client specific data warehouse, supported by Data Mining.
The document discusses data integration techniques for integrating salesforce.com with other systems. It describes Informatica as a leader in data integration tools and its ability to provide batch and real-time integration. A case study is presented of a networking company that implemented Informatica to integrate salesforce.com with its Oracle ERP and other legacy systems, achieving improved data quality and synchronization across systems.
Neoaug 2013 critical success factors for data quality management-chain-sys-co...Chain Sys Corporation
The document provides an overview of critical success factors for data quality management and discusses Chain SYS's data management tools and services. It emphasizes the importance of data quality and describes the key concepts around data life cycles and types. It also outlines the data quality improvement cycle of define, measure, analyze, improve, and control. Finally, it discusses Chain SYS's appMIGRATE tool and how it can help with data extraction, cleansing, validation, loading, and ongoing management.
SharePoint 2013 on-premise vs Office 365 Online comparedNagaraj Yerram
This document compares SharePoint 2013 on-premise vs Office 365 options. It provides an overview of key features such as infrastructure, availability, authentication, customization options, costs, security, and storage capabilities. Pros and cons of each option are outlined. While the cloud version is missing some advanced features, the gap has narrowed significantly. The document summarizes that both options have advantages and disadvantages depending on an organization's needs and resources.
Collaborate 2012-business data transformation and consolidationChain Sys Corporation
(i) The document discusses a case study of a data transformation and consolidation project for a global energy services company migrating from Oracle E-Business Suite 11.5.7 to Oracle E-Business Suite R12.1.3.
(ii) Key activities included consolidating data from multiple operating units, migrating inventory data to the new system, and implementing new business processes like project costing and asset management.
(iii) The project team used Oracle Business Accelerators for setup and the appLOAD migration tool to extract, transform, validate, consolidate, and load data between the two systems, completing the project within 6 months.
Collaborate 2012-business data transformation and consolidation for a global ...Chain Sys Corporation
(i) The document discusses a case study of a global energy services company that underwent a complex business data transformation and consolidation project to migrate from an older Oracle EBS 11.5.7 system to a new Oracle EBS R12.1.3 system.
(ii) Key activities involved consolidating data from multiple operating units, using Oracle Business Accelerators for new setups and the appLOAD tool for automated data migration with validations and transformations.
(iii) The project was completed within 6 months and resulted in improvements like standardized processes, accurate costing, automated order management and capturing of project/maintenance costs.
Oracle Fusion Applications Accounts PayablesBerry Clemens
This document outlines the terms and conditions for use of Oracle's online training materials. It states that Oracle allows its business partners to download and copy the materials for internal training purposes only, and that the materials cannot be resold, redistributed, or used to create derivative works. The document also disclaims any warranties regarding the accuracy or completeness of the materials and states that Oracle will not be liable for any loss or damage resulting from use of the materials. Partners must agree to indemnify Oracle from any actions or claims arising from their use of the materials.
This document provides a summary of V Koteswararao P's work experience including 4 years working with Informatica for ETL implementations. It lists his technical skills and details 4 projects he was involved in. The projects include implementing data warehouses and ETL processes for insurance and financial clients migrating to new systems. His roles included developing mappings, workflows, testing, and resolving production issues.
The document describes Oracle's integrated imaging solution for invoice entry in Oracle Fusion Payables. Key components include Oracle Document Capture for scanning invoices, Oracle Forms Recognition for data extraction, and an integrated workflow for routing invoices from scanning to entry and approval. The solution provides advantages over third-party solutions by being fully integrated with the ERP application. Implementation considerations include hardware sizing, scanning best practices, and configuring the Oracle Forms Recognition components and initialization file.
FDMEE 11.1.2.4.200 Partner Meeting - May 2016Ray Février
The document discusses Oracle's Financial Data Quality Management (FDMEE) product. It provides an overview of FDMEE, describing it as a solution that combines ERP Integrator and FDM to enable seamless data integration from disparate source systems. The document outlines key FDMEE features such as defining source systems and mappings, data loading rules, scripting capabilities and batch processing. It also describes new features in the 11.1.2.4 release including data synchronization between EPM applications and write-back, as well as direct integration with Oracle EPM Cloud.
This document defines and describes the HCM Data Loader tool, which is Oracle's next generation tool for loading legacy HCM data into Fusion Applications. It recommends that new customers use HCM Data Loader by default, while existing customers using the older File-Based Loader should plan a migration. The key steps for migrating include converting File-Based Loader GUIDs to HCM Data Loader source keys, testing the new integration processes, and switching the loading scope to use HCM Data Loader fully instead of File-Based Loader.
The document outlines Oracle's Transactional Business Intelligence (OTBI) product which provides real-time, self-service business reporting for Oracle Fusion Applications. It discusses OTBI's features such as prebuilt reports, integration with Fusion Applications security and data model, and report authoring tools. The document also covers embedding OTBI reports in Fusion Applications and how OTBI leverages Oracle Business Intelligence Enterprise Edition.
Intel IT empowers business units to easily make rapid, impactful business decisions. Ingesting a variety of internal/external data sources has challenges. This slideset covers how Intel IT overcame the issues with Hadoop and Gobblin. Learn more at http://www.intel.com/itcenter
This document discusses key decisions for implementing the disbursements feature in Oracle Fusion Payments. It covers:
- Setting up payment methods, profiles, validations and formats to support business processes for decentralized, centralized or factory payment models.
- Choosing between broad or targeted invoice selection criteria to optimize payment creation.
- Configuring validation rules and security at the document, payment or file level based on processing goals.
- Tailoring human-readable and transmission formats to bank requirements.
Ashish Mishra has over 1 year of experience as an ETL Developer working with Cognizant Technology Solutions and XL Catlin Insurance Company. He has extensive experience designing and developing mappings using Informatica PowerCenter to extract, transform, and load data from various sources like Oracle and SQL Server into data warehouses. His projects involved tasks like data profiling, claim conversion, and performance tuning of mappings.
This document discusses building ETL processes with Salesforce.com and Talend Open Studio for Data Integration. It provides an introduction to ETL, Salesforce.com data model, and Talend Open Studio. It then outlines the agenda which includes an introduction to ETL, Salesforce.com data model, Talend Open Studio, and a workshop/demonstration.
This document outlines Oracle's general product direction and provides information on transforming IT architecture to a modular architecture. It discusses the benefits of moving to more mature architecture stages such as reducing cost and efforts to deploy new technologies, increasing strategic business value, and enabling greater agility. The document also describes architecture components including infrastructure, applications, data management, and how a modular approach supports integrating these.
The document provides information about Oracle Fusion File Based Loader. It discusses how File Based Loader can be used to load data in bulk from other systems like Oracle Ebiz or PeopleSoft into Oracle Fusion HCM. It outlines the key steps for using File Based Loader which include: configuring the load process, defining business objects, generating cross-reference files, mapping source data, extracting source data files, uploading files to the content server, importing to stage tables, and loading from stage tables to application tables. An example of using File Based Loader to load grade data from Ebiz to Fusion HCM is also provided.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
This document discusses Oracle Fusion's geography model, including geography types, structures, and hierarchies. It covers defining address style formats, validating addresses, cleansing addresses, and importing geography structures and hierarchies. It emphasizes the importance of considering implementation needs before modifying or importing geography data due to data integrity reasons. The document directs readers to sample geography data and procedures on Oracle's support website for hands-on practice.
This powerpoint slide deck is the presentation given at the Microsoft center in Waltham, MA titled Leading Practices and Insights for Managing Data Integration Initiatives.
Topics covered include:
Key Drivers
Approaches and Strategy
Tools and Products
Useful Case Studies
Success Factors
Kaizentric is a Data Analytics firm, based in Chennai, India. Statistical Analysis is performed on a well-built client specific data warehouse, supported by Data Mining.
The document discusses data integration techniques for integrating salesforce.com with other systems. It describes Informatica as a leader in data integration tools and its ability to provide batch and real-time integration. A case study is presented of a networking company that implemented Informatica to integrate salesforce.com with its Oracle ERP and other legacy systems, achieving improved data quality and synchronization across systems.
Neoaug 2013 critical success factors for data quality management-chain-sys-co...Chain Sys Corporation
The document provides an overview of critical success factors for data quality management and discusses Chain SYS's data management tools and services. It emphasizes the importance of data quality and describes the key concepts around data life cycles and types. It also outlines the data quality improvement cycle of define, measure, analyze, improve, and control. Finally, it discusses Chain SYS's appMIGRATE tool and how it can help with data extraction, cleansing, validation, loading, and ongoing management.
SharePoint 2013 on-premise vs Office 365 Online comparedNagaraj Yerram
This document compares SharePoint 2013 on-premise vs Office 365 options. It provides an overview of key features such as infrastructure, availability, authentication, customization options, costs, security, and storage capabilities. Pros and cons of each option are outlined. While the cloud version is missing some advanced features, the gap has narrowed significantly. The document summarizes that both options have advantages and disadvantages depending on an organization's needs and resources.
Collaborate 2012-business data transformation and consolidationChain Sys Corporation
(i) The document discusses a case study of a data transformation and consolidation project for a global energy services company migrating from Oracle E-Business Suite 11.5.7 to Oracle E-Business Suite R12.1.3.
(ii) Key activities included consolidating data from multiple operating units, migrating inventory data to the new system, and implementing new business processes like project costing and asset management.
(iii) The project team used Oracle Business Accelerators for setup and the appLOAD migration tool to extract, transform, validate, consolidate, and load data between the two systems, completing the project within 6 months.
Collaborate 2012-business data transformation and consolidation for a global ...Chain Sys Corporation
(i) The document discusses a case study of a global energy services company that underwent a complex business data transformation and consolidation project to migrate from an older Oracle EBS 11.5.7 system to a new Oracle EBS R12.1.3 system.
(ii) Key activities involved consolidating data from multiple operating units, using Oracle Business Accelerators for new setups and the appLOAD tool for automated data migration with validations and transformations.
(iii) The project was completed within 6 months and resulted in improvements like standardized processes, accurate costing, automated order management and capturing of project/maintenance costs.
Oracle Fusion Applications Accounts PayablesBerry Clemens
This document outlines the terms and conditions for use of Oracle's online training materials. It states that Oracle allows its business partners to download and copy the materials for internal training purposes only, and that the materials cannot be resold, redistributed, or used to create derivative works. The document also disclaims any warranties regarding the accuracy or completeness of the materials and states that Oracle will not be liable for any loss or damage resulting from use of the materials. Partners must agree to indemnify Oracle from any actions or claims arising from their use of the materials.
This document provides a summary of V Koteswararao P's work experience including 4 years working with Informatica for ETL implementations. It lists his technical skills and details 4 projects he was involved in. The projects include implementing data warehouses and ETL processes for insurance and financial clients migrating to new systems. His roles included developing mappings, workflows, testing, and resolving production issues.
The document describes Oracle's integrated imaging solution for invoice entry in Oracle Fusion Payables. Key components include Oracle Document Capture for scanning invoices, Oracle Forms Recognition for data extraction, and an integrated workflow for routing invoices from scanning to entry and approval. The solution provides advantages over third-party solutions by being fully integrated with the ERP application. Implementation considerations include hardware sizing, scanning best practices, and configuring the Oracle Forms Recognition components and initialization file.
FDMEE 11.1.2.4.200 Partner Meeting - May 2016Ray Février
The document discusses Oracle's Financial Data Quality Management (FDMEE) product. It provides an overview of FDMEE, describing it as a solution that combines ERP Integrator and FDM to enable seamless data integration from disparate source systems. The document outlines key FDMEE features such as defining source systems and mappings, data loading rules, scripting capabilities and batch processing. It also describes new features in the 11.1.2.4 release including data synchronization between EPM applications and write-back, as well as direct integration with Oracle EPM Cloud.
This document defines and describes the HCM Data Loader tool, which is Oracle's next generation tool for loading legacy HCM data into Fusion Applications. It recommends that new customers use HCM Data Loader by default, while existing customers using the older File-Based Loader should plan a migration. The key steps for migrating include converting File-Based Loader GUIDs to HCM Data Loader source keys, testing the new integration processes, and switching the loading scope to use HCM Data Loader fully instead of File-Based Loader.
The document outlines Oracle's Transactional Business Intelligence (OTBI) product which provides real-time, self-service business reporting for Oracle Fusion Applications. It discusses OTBI's features such as prebuilt reports, integration with Fusion Applications security and data model, and report authoring tools. The document also covers embedding OTBI reports in Fusion Applications and how OTBI leverages Oracle Business Intelligence Enterprise Edition.
Intel IT empowers business units to easily make rapid, impactful business decisions. Ingesting a variety of internal/external data sources has challenges. This slideset covers how Intel IT overcame the issues with Hadoop and Gobblin. Learn more at http://www.intel.com/itcenter
This document discusses key decisions for implementing the disbursements feature in Oracle Fusion Payments. It covers:
- Setting up payment methods, profiles, validations and formats to support business processes for decentralized, centralized or factory payment models.
- Choosing between broad or targeted invoice selection criteria to optimize payment creation.
- Configuring validation rules and security at the document, payment or file level based on processing goals.
- Tailoring human-readable and transmission formats to bank requirements.
Ashish Mishra has over 1 year of experience as an ETL Developer working with Cognizant Technology Solutions and XL Catlin Insurance Company. He has extensive experience designing and developing mappings using Informatica PowerCenter to extract, transform, and load data from various sources like Oracle and SQL Server into data warehouses. His projects involved tasks like data profiling, claim conversion, and performance tuning of mappings.
This document discusses building ETL processes with Salesforce.com and Talend Open Studio for Data Integration. It provides an introduction to ETL, Salesforce.com data model, and Talend Open Studio. It then outlines the agenda which includes an introduction to ETL, Salesforce.com data model, Talend Open Studio, and a workshop/demonstration.
This document outlines Oracle's general product direction and provides information on transforming IT architecture to a modular architecture. It discusses the benefits of moving to more mature architecture stages such as reducing cost and efforts to deploy new technologies, increasing strategic business value, and enabling greater agility. The document also describes architecture components including infrastructure, applications, data management, and how a modular approach supports integrating these.
The document provides information about Oracle Fusion File Based Loader. It discusses how File Based Loader can be used to load data in bulk from other systems like Oracle Ebiz or PeopleSoft into Oracle Fusion HCM. It outlines the key steps for using File Based Loader which include: configuring the load process, defining business objects, generating cross-reference files, mapping source data, extracting source data files, uploading files to the content server, importing to stage tables, and loading from stage tables to application tables. An example of using File Based Loader to load grade data from Ebiz to Fusion HCM is also provided.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.