This mathematical document discusses concepts including positive and negative integers, sets, probabilities, and occurrences within a range. It contains symbols and equations but provides no context or explanation for the mathematical content.
LinkedTV - an added value enrichment solution for AV content providersLinkedTV
Linked Television is offering a solution for audiovisual content owners to semi-automatically enrich media with links to additional information and content related to objects and topics in the program and build client applications which access this data and provide new added value services to consumers.
LinkedTV Deliverable 9.3 Final LinkedTV Project ReportLinkedTV
This document comprises the final report of LinkedTV. It includes a publishable summary of the project's scientific results and technological outcomes, a plan for use and dissemination of foreground IP and a list of dissemination activities (publications and events)
LinkedTV - an added value enrichment solution for AV content providersLinkedTV
Linked Television is offering a solution for audiovisual content owners to semi-automatically enrich media with links to additional information and content related to objects and topics in the program and build client applications which access this data and provide new added value services to consumers.
LinkedTV Deliverable 9.3 Final LinkedTV Project ReportLinkedTV
This document comprises the final report of LinkedTV. It includes a publishable summary of the project's scientific results and technological outcomes, a plan for use and dissemination of foreground IP and a list of dissemination activities (publications and events)
LinkedTV Deliverable 6.5 - Final evaluation of the LinkedTV ScenariosLinkedTV
The deliverable presents the results of evaluating the final
scenario demonstrators LinkedNews and LinkedCulture in the LinkedTV project. We tested specifically user satisfaction with the enriched TV experience we enabled for cultural heritage and news TV programs. We also supported the evaluation of other aspects of the LinkedTV technologies in the trials, specifically the personalization and content curation.
LinkedTV Deliverable 5.7 - Validation of the LinkedTV ArchitectureLinkedTV
The LinkedTV architecture lays the foundation for the
LinkedTV system. It consists of the integrating platform for the end-to-end functionality, the backend components and the supporting client components. Since the architecture of a software system has a fundamental impact on quality
attributes, it is important to evaluate its design. The document at hand reports on the validation of the LinkedTV architecture.
LinkedTV Deliverable 4.7 - Contextualisation and personalisation evaluation a...LinkedTV
This deliverable covers all the aspects of evaluation of the overall LinkedTV personalization workflow, as well as re-evaluations of techniques where newer technology and / or algorithmic capacity offer new insight into the general performance. The implicit contextualized personalization workflow, the implicit uncontextualized workflow in the premises of the final LinkedTV application, the advances
in context tracking given new technologies emerged and the outlook of video recommendation beyond LinkedTV is measured and analyzed in this document.
LinkedTV Deliverable 3.8 - Design guideline document for concept-based presen...LinkedTV
This document presents guidelines on how to setup enriched video experiences.
We provide user-centric guidelines on the named entities that should be detected and selected to effectively enrich video news broadcasts. This is presented in the form of a user study.
We selected 5 news videos and manually extracted the
candidate entities from various sources, such as the transcript, visual content and related articles. An expert was asked to also provide interesting entities for the videos. The resulting 99 candidate entities were presented to 50 participants via an online survey. The participants rated the level of interestingness of the entities and the usefulness of
information from Wikipedia about these entities. Analysis of
the results shows that users prefer entities of the type
organization and person and have little interest for entities of the type location. They also indicate that subtitles are not
enough as a source of interesting entities and that the amount of interesting entities can be improved by the combined use of subtitles with entities extracted from related articles or entities suggested by an expert. The expert suggestions showed to be more accurate than any other source of entities. Wikipedia seems to be a suitable source of additional information about the entities in the news, but should be complemented with additional sources.
We provide engineering guidelines on how to present,
aggregate and process content for TV program companion
applications. We describe the content processing pipeline that was developed in WP3 to feed the content for the LinkedNews and Linked Culture demonstrators. This shows how content from the Web can be re-purposed to enrich videos by extracting the core display content and presenting it in a uniform way to the user.
LinkedTV Deliverable 2.7 - Final Linked Media Layer and EvaluationLinkedTV
This deliverable presents the evaluation of content annotation and content enrichment systems that are part of the final tool set developed within the LinkedTV consortium. The evaluations were performed on both the Linked News and Linked Culture trial content, as well as on other content annotated for this purpose. The evaluation spans three languages: German (Linked News), Dutch (Linked
Culture) and English. Selected algorithms and tools were also subject to benchmarking in two international contests: MediaEval 2014 and TAC’14. Additionally, the Microposts 2015 NEEL Challenge is being organized with the support of LinkedTV.
LinkedTV Deliverable 1.6 - Intelligent hypervideo analysis evaluation, final ...LinkedTV
This deliverable describes the conducted evaluation activities for assessing the performance of a number of developed methods for intelligent hypervideo analysis and the usability of the implemented Editor Tool for supporting video annotation and enrichment. Based on the performance evaluations reported in D1.4 regarding a set of LinkedTV analysis components, we extended our experiments for assessing the effectiveness of newer versions of these methods as well as of entirely new techniques, concerning the accuracy and the time efficiency
of the analysis. For this purpose, in-house experiments and participations at international benchmarking activities were made, and the outcomes are reported in this deliverable. Moreover, we present the results of user trials regarding the developed Editor Tool, where groups of experts assessed its usability and the supported functionalities, and
evaluated the usefulness and the accuracy of the implemented video segmentation approaches based on the analysis requirements of the LinkedTV scenarios. By this deliverable we complete the reporting of WP1 evaluations that aimed to assess the efficiency of the developed
multimedia analysis methods throughout the project, according to the analysis requirements of the LinkedTV scenarios.
LinkedTV Deliverable 5.5 - LinkedTV front-end: video player and MediaCanvas A...LinkedTV
The LinkedTV media player and API has evolved from a single player and limited API in version 1 to a toolkit to allow rapid development and creation of different kind of applications within the HTML5 / multiscreen space. The main reason for this transition is that during the course of the Linked TV project different partners had different requirements for their scenarios. Instead of trying to fit all these requirements into one player and, most likely, compromise on the functionalities of the scenarios we wanted to offer something that would allow all partners a satisfiable solution.
Therefore the Springfield Multiscreen Toolkit, or short SMT, has been developed. The aim for the SMT was to allow flexibility for developing multiscreen applications. Also from a commercial point of view a toolkit with examples is more interesting than a pure player as it gives the freedom of developing new ideas with the LinkedTV platform.
LinkedTV tools for Linked Media applications (LIME 2015 workshop talk)LinkedTV
A brief introduction to tools from the LinkedTV project which can be used together to build new media applications based on conceptual linking of media fragments.
LinkedTV Deliverable D4.6 Contextualisation solution and implementationLinkedTV
This deliverable presents the WP4 contextualisation final im-plementation. As contextualization has a high impact on all the other modules of WP4 (especially personalization and recom-mendation), the deliverable intends to provide a picture of the final WP4 workflow implementation.
LinkedTV Deliverable D3.7 User Interfaces selected and refined (version 2)LinkedTV
This report describes the LinkedTV user interfaces. Based on the results user studies and the initial evaluation of the year 2 prototype we selected and refined the interfaces. We selected a single screen application that uses HbbTV technology to provide additional information about a TV program as an overlay on the TV broadcast. In addition, we worked towards TV program companion applications that are tailored for two domains: news and cultural heritage. With these applications we demonstrate different types of interaction modes, such as synchronized content on a second screen, and bookmarking chapters combined with the exploration of related content after the program. The interfaces are built on top of the Multiscreen Toolkit. We created a component-based infrastructure that allows us to quickly create tailored companion applications by reusing and configuring interface components. In the final part of the project we finalize this approach and test it by applying it to a new domain.
LinkedTV Deliverable D2.6 LinkedTV Framework for Generating Video Enrichments...LinkedTV
This deliverable describes the final LinkedTV framework that provides a set of possible enrichment resources for seed video content using techniques such as text and web mining, information extraction and information retrieval technologies. The enrichment content is obtained from four type of sources: a) by crawling and indexing web sites described in a white list specified by the content partners,
b) by querying the API or SPARQL endpoint of the Europeana digital library network which is publicly exposed, c) by querying multiple social networking APIs, d) by hyperlinking to other parts of TV programs within the same collection using a Solr index. This deliverable
also describes an additional content annotation functionality, namely labelling enrichment (as well as seed) content with thematic topics, as well as the process of exposing content annotations to this module and to the filtering services of LinkedTV’s personalization workflow. We illustrate the enrichment workflow for the two main scenarios of LinkedTV which have lead to the development of the LinkedCulture and LinkedNews applications, which respectively use the TVEnricher and TVNewsEnricher enrichment services. The original title of this deliverable from the DoW was Advanced concept labelling by complementary Web mining.
LinkedTV Deliverable D1.5 The Editor Tool, final release LinkedTV
This document reports on the design and implementation of the final version of the editor tool (ET) v2.0, where its purpose is to serve the program editing teams of broadcasters that have adopted LinkedTV’s interactive television solution into their workflow. Two of these teams are currently represented in the LinkedTV project, namely the RBB team and the AVROTROS team (formerly known as AVRO).
The main purpose of the ET is to provide a means to correct and curate automatically generated annotations and hyperlinks created by the audiovisual and textual analysis technologies developed in WP 1 and 2 of the LinkedTV project. Without the intervention of human editors to correct this data, there is a reasonable risk of exposing inappropriate, incorrect or irrelevant information to the viewers of a LinkedTV interactive broadcast.
LinkedTV Deliverable D1.4 Visual, text and audio information analysis for hyp...LinkedTV
Having extensively evaluated the performance of the technologies included in the first release of WP1 multimedia analysis tools, using content from the LinkedTV scenarios and by participating in international benchmarking activities, concrete decisions regarding the
appropriateness and the importance of each individual method or combination of methods were made, which, combined with an updated list of information needs for each scenario, led to a new set of analysis requirements that had to be addressed through the release of the final set of analysis techniques of WP1. To this end, coordinated efforts on three directions, including
(a) the improvement of a number of methods in terms of accuracy and time efficiency,
(b) the development of new technologies and (c) the definition of synergies between methods for obtaining new types of information via multimodal processing, resulted in the final bunch of multimedia analysis methods for video hyperlinking. Moreover, the different developed analysis modules have been integrated into a web-based infrastructure, allowing the fully automatic linking of the multitude of WP1 technologies and the overall LinkedTV platform.
LinkedTV D8.6 Market and Product Survey for LinkedTV Services and TechnologyLinkedTV
D8.6 presents the results of the market analysis for LinkedTV products and services and consists of
two parts: an overall analysis of current and future
developments in the TV and digital video market and a specific market analysis of potential LinkedTV customers and competitors. Based on the market analysis it was possible to provide a first rough estimation of the LinkedTV market potential and to position LinkedTV on the market.
This deliverable presents the LinkedTV Public Demonstrator which will be an online, publicly accessible Website collecting showcases of the key project outputs which form together our LinkedTV solution: the Editor Tool, Platform and Player, complemented by demonstrations of the provision of this solution for the content of two European broadcasters: the LinkedCulture and LinkedNews scenario demonstrators.
LinkedTV Deliverable D6.3 User Trial ResultsLinkedTV
User trials were prepared and conducted in the first quarter of 2014 in order to assess the appropriateness of the innovative functionalities of the second screen demonstrator developed in Y2 of the LinkedTV project. A sample installation of LinkedTV was set up at three different locations: at Rundfunk Berlin Brandenburg (RBB), Sound & Vision (S&V), and at the University of St. Gallen (USG). The LinkedTV installation included a TV showing sample content (“main screen”) and an tablet (“second screen”) showing chapters of the program as well as semi-automaticaly acquired additional information about persons, topics and places depicted in the program on the main screen. In total 24 participants took part in the trial at all three locations (9 at RBB, 5 at S&V and 10 at USG). To assess the appropriateness of the LinkedTV features, the trial participants were provided with a “hands-on” opportunity to use the LinkedTV Application and were observed while using the installation. The participants also filled in a questionnaire at the end of the session.
LinkedTV Deliverable D5.6 Final LinkedTV End-to-End PlatformLinkedTV
This Deliverable describes the final LinkedTV End-to-End Platform, which integrates a whole workflow from video ingestion over video analysis, annotated media fragment generation, content enrichment to personalized playout by a dedicated media player.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
LinkedTV Deliverable 6.5 - Final evaluation of the LinkedTV ScenariosLinkedTV
The deliverable presents the results of evaluating the final
scenario demonstrators LinkedNews and LinkedCulture in the LinkedTV project. We tested specifically user satisfaction with the enriched TV experience we enabled for cultural heritage and news TV programs. We also supported the evaluation of other aspects of the LinkedTV technologies in the trials, specifically the personalization and content curation.
LinkedTV Deliverable 5.7 - Validation of the LinkedTV ArchitectureLinkedTV
The LinkedTV architecture lays the foundation for the
LinkedTV system. It consists of the integrating platform for the end-to-end functionality, the backend components and the supporting client components. Since the architecture of a software system has a fundamental impact on quality
attributes, it is important to evaluate its design. The document at hand reports on the validation of the LinkedTV architecture.
LinkedTV Deliverable 4.7 - Contextualisation and personalisation evaluation a...LinkedTV
This deliverable covers all the aspects of evaluation of the overall LinkedTV personalization workflow, as well as re-evaluations of techniques where newer technology and / or algorithmic capacity offer new insight into the general performance. The implicit contextualized personalization workflow, the implicit uncontextualized workflow in the premises of the final LinkedTV application, the advances
in context tracking given new technologies emerged and the outlook of video recommendation beyond LinkedTV is measured and analyzed in this document.
LinkedTV Deliverable 3.8 - Design guideline document for concept-based presen...LinkedTV
This document presents guidelines on how to setup enriched video experiences.
We provide user-centric guidelines on the named entities that should be detected and selected to effectively enrich video news broadcasts. This is presented in the form of a user study.
We selected 5 news videos and manually extracted the
candidate entities from various sources, such as the transcript, visual content and related articles. An expert was asked to also provide interesting entities for the videos. The resulting 99 candidate entities were presented to 50 participants via an online survey. The participants rated the level of interestingness of the entities and the usefulness of
information from Wikipedia about these entities. Analysis of
the results shows that users prefer entities of the type
organization and person and have little interest for entities of the type location. They also indicate that subtitles are not
enough as a source of interesting entities and that the amount of interesting entities can be improved by the combined use of subtitles with entities extracted from related articles or entities suggested by an expert. The expert suggestions showed to be more accurate than any other source of entities. Wikipedia seems to be a suitable source of additional information about the entities in the news, but should be complemented with additional sources.
We provide engineering guidelines on how to present,
aggregate and process content for TV program companion
applications. We describe the content processing pipeline that was developed in WP3 to feed the content for the LinkedNews and Linked Culture demonstrators. This shows how content from the Web can be re-purposed to enrich videos by extracting the core display content and presenting it in a uniform way to the user.
LinkedTV Deliverable 2.7 - Final Linked Media Layer and EvaluationLinkedTV
This deliverable presents the evaluation of content annotation and content enrichment systems that are part of the final tool set developed within the LinkedTV consortium. The evaluations were performed on both the Linked News and Linked Culture trial content, as well as on other content annotated for this purpose. The evaluation spans three languages: German (Linked News), Dutch (Linked
Culture) and English. Selected algorithms and tools were also subject to benchmarking in two international contests: MediaEval 2014 and TAC’14. Additionally, the Microposts 2015 NEEL Challenge is being organized with the support of LinkedTV.
LinkedTV Deliverable 1.6 - Intelligent hypervideo analysis evaluation, final ...LinkedTV
This deliverable describes the conducted evaluation activities for assessing the performance of a number of developed methods for intelligent hypervideo analysis and the usability of the implemented Editor Tool for supporting video annotation and enrichment. Based on the performance evaluations reported in D1.4 regarding a set of LinkedTV analysis components, we extended our experiments for assessing the effectiveness of newer versions of these methods as well as of entirely new techniques, concerning the accuracy and the time efficiency
of the analysis. For this purpose, in-house experiments and participations at international benchmarking activities were made, and the outcomes are reported in this deliverable. Moreover, we present the results of user trials regarding the developed Editor Tool, where groups of experts assessed its usability and the supported functionalities, and
evaluated the usefulness and the accuracy of the implemented video segmentation approaches based on the analysis requirements of the LinkedTV scenarios. By this deliverable we complete the reporting of WP1 evaluations that aimed to assess the efficiency of the developed
multimedia analysis methods throughout the project, according to the analysis requirements of the LinkedTV scenarios.
LinkedTV Deliverable 5.5 - LinkedTV front-end: video player and MediaCanvas A...LinkedTV
The LinkedTV media player and API has evolved from a single player and limited API in version 1 to a toolkit to allow rapid development and creation of different kind of applications within the HTML5 / multiscreen space. The main reason for this transition is that during the course of the Linked TV project different partners had different requirements for their scenarios. Instead of trying to fit all these requirements into one player and, most likely, compromise on the functionalities of the scenarios we wanted to offer something that would allow all partners a satisfiable solution.
Therefore the Springfield Multiscreen Toolkit, or short SMT, has been developed. The aim for the SMT was to allow flexibility for developing multiscreen applications. Also from a commercial point of view a toolkit with examples is more interesting than a pure player as it gives the freedom of developing new ideas with the LinkedTV platform.
LinkedTV tools for Linked Media applications (LIME 2015 workshop talk)LinkedTV
A brief introduction to tools from the LinkedTV project which can be used together to build new media applications based on conceptual linking of media fragments.
LinkedTV Deliverable D4.6 Contextualisation solution and implementationLinkedTV
This deliverable presents the WP4 contextualisation final im-plementation. As contextualization has a high impact on all the other modules of WP4 (especially personalization and recom-mendation), the deliverable intends to provide a picture of the final WP4 workflow implementation.
LinkedTV Deliverable D3.7 User Interfaces selected and refined (version 2)LinkedTV
This report describes the LinkedTV user interfaces. Based on the results user studies and the initial evaluation of the year 2 prototype we selected and refined the interfaces. We selected a single screen application that uses HbbTV technology to provide additional information about a TV program as an overlay on the TV broadcast. In addition, we worked towards TV program companion applications that are tailored for two domains: news and cultural heritage. With these applications we demonstrate different types of interaction modes, such as synchronized content on a second screen, and bookmarking chapters combined with the exploration of related content after the program. The interfaces are built on top of the Multiscreen Toolkit. We created a component-based infrastructure that allows us to quickly create tailored companion applications by reusing and configuring interface components. In the final part of the project we finalize this approach and test it by applying it to a new domain.
LinkedTV Deliverable D2.6 LinkedTV Framework for Generating Video Enrichments...LinkedTV
This deliverable describes the final LinkedTV framework that provides a set of possible enrichment resources for seed video content using techniques such as text and web mining, information extraction and information retrieval technologies. The enrichment content is obtained from four type of sources: a) by crawling and indexing web sites described in a white list specified by the content partners,
b) by querying the API or SPARQL endpoint of the Europeana digital library network which is publicly exposed, c) by querying multiple social networking APIs, d) by hyperlinking to other parts of TV programs within the same collection using a Solr index. This deliverable
also describes an additional content annotation functionality, namely labelling enrichment (as well as seed) content with thematic topics, as well as the process of exposing content annotations to this module and to the filtering services of LinkedTV’s personalization workflow. We illustrate the enrichment workflow for the two main scenarios of LinkedTV which have lead to the development of the LinkedCulture and LinkedNews applications, which respectively use the TVEnricher and TVNewsEnricher enrichment services. The original title of this deliverable from the DoW was Advanced concept labelling by complementary Web mining.
LinkedTV Deliverable D1.5 The Editor Tool, final release LinkedTV
This document reports on the design and implementation of the final version of the editor tool (ET) v2.0, where its purpose is to serve the program editing teams of broadcasters that have adopted LinkedTV’s interactive television solution into their workflow. Two of these teams are currently represented in the LinkedTV project, namely the RBB team and the AVROTROS team (formerly known as AVRO).
The main purpose of the ET is to provide a means to correct and curate automatically generated annotations and hyperlinks created by the audiovisual and textual analysis technologies developed in WP 1 and 2 of the LinkedTV project. Without the intervention of human editors to correct this data, there is a reasonable risk of exposing inappropriate, incorrect or irrelevant information to the viewers of a LinkedTV interactive broadcast.
LinkedTV Deliverable D1.4 Visual, text and audio information analysis for hyp...LinkedTV
Having extensively evaluated the performance of the technologies included in the first release of WP1 multimedia analysis tools, using content from the LinkedTV scenarios and by participating in international benchmarking activities, concrete decisions regarding the
appropriateness and the importance of each individual method or combination of methods were made, which, combined with an updated list of information needs for each scenario, led to a new set of analysis requirements that had to be addressed through the release of the final set of analysis techniques of WP1. To this end, coordinated efforts on three directions, including
(a) the improvement of a number of methods in terms of accuracy and time efficiency,
(b) the development of new technologies and (c) the definition of synergies between methods for obtaining new types of information via multimodal processing, resulted in the final bunch of multimedia analysis methods for video hyperlinking. Moreover, the different developed analysis modules have been integrated into a web-based infrastructure, allowing the fully automatic linking of the multitude of WP1 technologies and the overall LinkedTV platform.
LinkedTV D8.6 Market and Product Survey for LinkedTV Services and TechnologyLinkedTV
D8.6 presents the results of the market analysis for LinkedTV products and services and consists of
two parts: an overall analysis of current and future
developments in the TV and digital video market and a specific market analysis of potential LinkedTV customers and competitors. Based on the market analysis it was possible to provide a first rough estimation of the LinkedTV market potential and to position LinkedTV on the market.
This deliverable presents the LinkedTV Public Demonstrator which will be an online, publicly accessible Website collecting showcases of the key project outputs which form together our LinkedTV solution: the Editor Tool, Platform and Player, complemented by demonstrations of the provision of this solution for the content of two European broadcasters: the LinkedCulture and LinkedNews scenario demonstrators.
LinkedTV Deliverable D6.3 User Trial ResultsLinkedTV
User trials were prepared and conducted in the first quarter of 2014 in order to assess the appropriateness of the innovative functionalities of the second screen demonstrator developed in Y2 of the LinkedTV project. A sample installation of LinkedTV was set up at three different locations: at Rundfunk Berlin Brandenburg (RBB), Sound & Vision (S&V), and at the University of St. Gallen (USG). The LinkedTV installation included a TV showing sample content (“main screen”) and an tablet (“second screen”) showing chapters of the program as well as semi-automaticaly acquired additional information about persons, topics and places depicted in the program on the main screen. In total 24 participants took part in the trial at all three locations (9 at RBB, 5 at S&V and 10 at USG). To assess the appropriateness of the LinkedTV features, the trial participants were provided with a “hands-on” opportunity to use the LinkedTV Application and were observed while using the installation. The participants also filled in a questionnaire at the end of the session.
LinkedTV Deliverable D5.6 Final LinkedTV End-to-End PlatformLinkedTV
This Deliverable describes the final LinkedTV End-to-End Platform, which integrates a whole workflow from video ingestion over video analysis, annotated media fragment generation, content enrichment to personalized playout by a dedicated media player.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.