Presentation by Mario Mariniello (Digital Adviser of the European Political Strategy Centre, European Commission) at the event "Incorporating Ethical Considerations in Autonomous & Intelligent Systems (A/IS) – Policy & Industry Requirements in the Algorithmic Age". The event took place on 11 June 2018 and was jointly organized by IEEE Standards Association (IEEE-SA) and the Delft Design for Values Institute (DDFV). For more info see http://designforvalues.tudelft.nl/event/incorporating-ethical-considerations-in-ai-policy-industry-requirements/
Awarded Second Prize at an International Event called “Present around the World in 10 minutes”, organized by IET (The Institution of Engineering and Technology) on "Future Technologies for Emerging Markets" held for the Bangalore region, May 2012. I presented on "Semantic Web - Web 3.0"
Introduction to Semantics for Digital Surreylogomachy
The document discusses semantics and semantic technology. It describes semantics as being about interaction via meaning. It explains that ontologies are used to create context from which new information can be inferred. Examples are given of how semantics can be used, including for e-commerce, search engine optimization, and making use of information from different sources on the internet in a safe manner through linked data.
The BBC moved their OWLIM graph database to Amazon Web Services (AWS) to take ownership of OWLIM maintenance and support AWS adoption. They deployed OWLIM using AWS OpsWorks to define the infrastructure and Chef recipes to install and configure each layer. While OpsWorks and Chef provide benefits like simplicity and reuse, autoscaling is not supported and Chef recipes could be improved. Future plans include autoscaling, backup improvements, and refactoring Chef recipes.
Gentle Introduction to Semantic Enrichmentlogomachy
This talk is gentle introduction to the concept of semantic enrichment that demonstrates how publishers are using semantic technology such as Ontotext's GraphDB and publishing platform to make the most of their content.
This is a talk I gave at LT-Innovate Summit 2014 in Brussels. I'm talking about how publishers are leveraging language and semantics to create new products and services so that publisher can 'know what they know'.
When you wake up in the morning, you probably unlock your smartphone with your fingerprint, talk to it in your own language to open your email or agenda or weather apps, ask for a recommendation for a meeting later in the day and look for the shortest path to its location. Our lives are being reshaped thanks to the amount of available data, to the computing capabilities, to Machine Learning (ML) and recently Deep Learning (DL) algorithms.
How does a ML algorithm work? What are the steps to take to success an ML project? What should one do to apply DL? Is ML hard to Learn? Is it hard to apply?
Presentation by Mario Mariniello (Digital Adviser of the European Political Strategy Centre, European Commission) at the event "Incorporating Ethical Considerations in Autonomous & Intelligent Systems (A/IS) – Policy & Industry Requirements in the Algorithmic Age". The event took place on 11 June 2018 and was jointly organized by IEEE Standards Association (IEEE-SA) and the Delft Design for Values Institute (DDFV). For more info see http://designforvalues.tudelft.nl/event/incorporating-ethical-considerations-in-ai-policy-industry-requirements/
Awarded Second Prize at an International Event called “Present around the World in 10 minutes”, organized by IET (The Institution of Engineering and Technology) on "Future Technologies for Emerging Markets" held for the Bangalore region, May 2012. I presented on "Semantic Web - Web 3.0"
Introduction to Semantics for Digital Surreylogomachy
The document discusses semantics and semantic technology. It describes semantics as being about interaction via meaning. It explains that ontologies are used to create context from which new information can be inferred. Examples are given of how semantics can be used, including for e-commerce, search engine optimization, and making use of information from different sources on the internet in a safe manner through linked data.
The BBC moved their OWLIM graph database to Amazon Web Services (AWS) to take ownership of OWLIM maintenance and support AWS adoption. They deployed OWLIM using AWS OpsWorks to define the infrastructure and Chef recipes to install and configure each layer. While OpsWorks and Chef provide benefits like simplicity and reuse, autoscaling is not supported and Chef recipes could be improved. Future plans include autoscaling, backup improvements, and refactoring Chef recipes.
Gentle Introduction to Semantic Enrichmentlogomachy
This talk is gentle introduction to the concept of semantic enrichment that demonstrates how publishers are using semantic technology such as Ontotext's GraphDB and publishing platform to make the most of their content.
This is a talk I gave at LT-Innovate Summit 2014 in Brussels. I'm talking about how publishers are leveraging language and semantics to create new products and services so that publisher can 'know what they know'.
When you wake up in the morning, you probably unlock your smartphone with your fingerprint, talk to it in your own language to open your email or agenda or weather apps, ask for a recommendation for a meeting later in the day and look for the shortest path to its location. Our lives are being reshaped thanks to the amount of available data, to the computing capabilities, to Machine Learning (ML) and recently Deep Learning (DL) algorithms.
How does a ML algorithm work? What are the steps to take to success an ML project? What should one do to apply DL? Is ML hard to Learn? Is it hard to apply?
Death of MAM session at IBC - final sunday13th SeptemberOnFrame Ltd
The document discusses how MAM (media asset management) systems are outdated and no longer suitable for today's digital media landscape. It proposes adopting a "media logistics platform" approach inspired by supply chain management principles. This would involve building decoupled, independently deployable microservices in the cloud to provide improved visibility, control, and analytics across the end-to-end media value chain. While moving assets and processes to the cloud poses challenges, new technologies and standards can help media companies justify the costs and transition to more agile, scalable systems that better address their evolving needs.
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBDenodo
Data integration is paramount, in this presentation you will find three different paradigms: using client-side tools, creating traditional data warehouses and the data virtualization solution - the logical data warehouse, comparing each other and positioning data virtualization as an integral part of any future-proof IT infrastructure.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/1q94Ka.
Microsoft was founded in 1975 and has grown to become a leading technology company. It dominates the personal computer operating system market with Windows. In recent years, Microsoft has expanded beyond software to develop services like Azure and devices including the Xbox and Surface tablet. The company's vision is to help individuals and businesses realize their full potential. While Microsoft has strong brand recognition and cash reserves, it faces threats from competitors in mobile and cloud computing. It aims to strengthen its position through strategic acquisitions and expanding into new markets.
Doolyk is a tool that allows business users to explore and analyze both structured and unstructured data from Hadoop. It masks the complexity of the Hadoop stack and allows users to work directly with data in their existing BI tools. Doolyk has been used by companies in telecom, insurance, manufacturing, retail, banking and other industries to perform real-time analytics, inventory analysis, fraud detection, customer profiling and more using data from sources like call detail records, sensor data, web logs and financial transactions.
The document discusses artificial intelligence (AI) and its potential applications for records management and compliance. It provides definitions of key AI concepts like machine learning, deep learning, and neural networks. It also discusses how AI can be used to automatically classify large amounts of unstructured information across different content repositories through techniques like supervised and unsupervised learning. The document suggests AI could help tackle issues like "information chaos" by enabling more effective compliance, records management, analytics and archiving of unstructured content.
Explore our analysis of technology trends for 2019 and beyond: AI, IoT, Security, Big Data / Data Science, Mobile Apps Development, AR/VR, RPA (Robot Process Automation), Blockchain, Automotive Solutions, Business Intelligence, Cloud Computing, Service Desk, Autonomous Things, Augmented Analytics, AI-Driven Development, Digital Twins, Empowered Edge, Immersive Experience, Smart Spaces, Quantum Computing, and more.
Check our recommendations for businesses to stay current with the latest IT tendencies.
Includes a video by Gartner.
Service thinking cases consolidated v6 (1)Harumi Sugai
Fluor Corporation is using IBM's social software platform to connect its 43,000 global employees, allowing them to collaborate more effectively across projects. Over half of Fluor's workforce quickly joined the platform, sharing expertise. The platform improves innovation by helping engineers and staff collaborate globally. By outsourcing the platform to IBM, Fluor can focus on its core business while gaining collaboration and productivity benefits expected to increase revenue and reduce employee turnover.
The document provides an overview of IBM's journey towards becoming a services company. It discusses IBM's revenue by sector over time as it transitioned from hardware to services. It also outlines the stages of this journey and lessons learned, including the importance of open innovation and the flow of talent, technology, trust, and truth in changing business models. The presentation concludes by discussing future-ready skills and implications for stakeholders as AI progresses.
The document discusses Coursedot, a company that aims to become a one-stop shop for technology training. Coursedot offers training content from over 480 providers through various formats like online courses, videos, and e-books. It has achieved global reach in 3 years and worked with major companies. The document also outlines Coursedot's mission to make training accessible and its vision to become one of the largest IT training companies through innovative delivery methods.
Fluor Corporation is using IBM's social software to empower its 43,000 global workforce to better communicate, collaborate, and spur innovation across its engineering, construction, and project management activities. Within weeks, over half of Fluor's workforce joined IBM's social networking platform, allowing employees to share expertise in real-time to develop innovative solutions for diverse project issues. By connecting its global workforce, Fluor is encouraging deeper innovation and knowledge-sharing among employees to improve productivity and gain competitive advantage.
This document provides an overview of an AI project called XMANAI. It discusses:
1) Key AI concepts like definitions, policies, trends and explainable AI.
2) The challenges XMANAI aims to address like increasing trust and transparency in AI for manufacturing.
3) XMANAI's vision to develop explainable hybrid and graph AI models coupled with complex data and model management to solve manufacturing problems.
The document provides a study guide for the BIS 220 Final Exam at UOP with 30 multiple choice questions covering various topics in information systems. Some of the questions address enterprise systems, user involvement, artificial intelligence, privacy and security issues, formatting and layout functions in Microsoft Office applications, databases, e-commerce models, wireless networking standards, and aspects of the systems development life cycle.
Information governance in the Facebook EraJohn Mancini
This document discusses the implications of emerging technologies like social media and digital content for records managers. It notes that consumer technologies have advanced rapidly while enterprise systems have remained stagnant, and social media now generates vast amounts of potentially record-worthy information that falls outside traditional records management practices. The document examines challenges around retaining accurate and trustworthy information across various media, assessing what constitutes a public record on sites like Facebook and Twitter, and ensuring compliance with records retention requirements for digital communications.
Jim Spohrer from IBM gave a keynote presentation on artificial intelligence. Some of the main points included:
- IBM is transforming into a cognitive solutions and cloud platform company and is focusing on intelligence augmentation through technologies like Watson.
- Spohrer discussed definitions of concepts like artificial intelligence, intelligence augmentation, and different types of cognitive systems.
- He provided perspectives on AI from an industry viewpoint and IBM's viewpoint.
- Spohrer summarized IBM's response to a White House request for information on preparing for the future of artificial intelligence.
The document discusses how enterprise IT is changing from a focus on systems of record that control information flow up the organization, to also incorporating systems of engagement that facilitate collaborative sharing of information across the organization. It notes tensions that have arisen between these systems of record and systems of engagement, and how the latter are being used to help drive business objectives like customer engagement and operational dexterity.
This chapter discusses data and knowledge management. It covers topics like data warehousing, business intelligence, data mining, data visualization technologies, and knowledge management. The key points are:
1) Data management is critical for IT applications but difficult due to increasing data volumes, scattered sources, and quality/integrity issues.
2) A data warehouse contains subject-oriented historical data from multiple sources organized for analysis. It aids decision making through queries, reports, analytics and mining.
3) Business intelligence uses tools like querying, reporting, analytics, mining and forecasting to extract knowledge and support decisions from corporate data.
4) Data visualization technologies include GIS, simulations, virtual reality and multimedia to present data visually
bis 220,uop bis 220,uop bis 220 complete course,uop bis 220 entire course,uop bis 220 week 1,uop bis 220 week 2,uop bis 220 week 3,uop bis 220 week 4,uop bis 220 week 5,uop bis 220 tutorials,bis 220 assignments,bis 220 help
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.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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Death of MAM session at IBC - final sunday13th SeptemberOnFrame Ltd
The document discusses how MAM (media asset management) systems are outdated and no longer suitable for today's digital media landscape. It proposes adopting a "media logistics platform" approach inspired by supply chain management principles. This would involve building decoupled, independently deployable microservices in the cloud to provide improved visibility, control, and analytics across the end-to-end media value chain. While moving assets and processes to the cloud poses challenges, new technologies and standards can help media companies justify the costs and transition to more agile, scalable systems that better address their evolving needs.
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBDenodo
Data integration is paramount, in this presentation you will find three different paradigms: using client-side tools, creating traditional data warehouses and the data virtualization solution - the logical data warehouse, comparing each other and positioning data virtualization as an integral part of any future-proof IT infrastructure.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/1q94Ka.
Microsoft was founded in 1975 and has grown to become a leading technology company. It dominates the personal computer operating system market with Windows. In recent years, Microsoft has expanded beyond software to develop services like Azure and devices including the Xbox and Surface tablet. The company's vision is to help individuals and businesses realize their full potential. While Microsoft has strong brand recognition and cash reserves, it faces threats from competitors in mobile and cloud computing. It aims to strengthen its position through strategic acquisitions and expanding into new markets.
Doolyk is a tool that allows business users to explore and analyze both structured and unstructured data from Hadoop. It masks the complexity of the Hadoop stack and allows users to work directly with data in their existing BI tools. Doolyk has been used by companies in telecom, insurance, manufacturing, retail, banking and other industries to perform real-time analytics, inventory analysis, fraud detection, customer profiling and more using data from sources like call detail records, sensor data, web logs and financial transactions.
The document discusses artificial intelligence (AI) and its potential applications for records management and compliance. It provides definitions of key AI concepts like machine learning, deep learning, and neural networks. It also discusses how AI can be used to automatically classify large amounts of unstructured information across different content repositories through techniques like supervised and unsupervised learning. The document suggests AI could help tackle issues like "information chaos" by enabling more effective compliance, records management, analytics and archiving of unstructured content.
Explore our analysis of technology trends for 2019 and beyond: AI, IoT, Security, Big Data / Data Science, Mobile Apps Development, AR/VR, RPA (Robot Process Automation), Blockchain, Automotive Solutions, Business Intelligence, Cloud Computing, Service Desk, Autonomous Things, Augmented Analytics, AI-Driven Development, Digital Twins, Empowered Edge, Immersive Experience, Smart Spaces, Quantum Computing, and more.
Check our recommendations for businesses to stay current with the latest IT tendencies.
Includes a video by Gartner.
Service thinking cases consolidated v6 (1)Harumi Sugai
Fluor Corporation is using IBM's social software platform to connect its 43,000 global employees, allowing them to collaborate more effectively across projects. Over half of Fluor's workforce quickly joined the platform, sharing expertise. The platform improves innovation by helping engineers and staff collaborate globally. By outsourcing the platform to IBM, Fluor can focus on its core business while gaining collaboration and productivity benefits expected to increase revenue and reduce employee turnover.
The document provides an overview of IBM's journey towards becoming a services company. It discusses IBM's revenue by sector over time as it transitioned from hardware to services. It also outlines the stages of this journey and lessons learned, including the importance of open innovation and the flow of talent, technology, trust, and truth in changing business models. The presentation concludes by discussing future-ready skills and implications for stakeholders as AI progresses.
The document discusses Coursedot, a company that aims to become a one-stop shop for technology training. Coursedot offers training content from over 480 providers through various formats like online courses, videos, and e-books. It has achieved global reach in 3 years and worked with major companies. The document also outlines Coursedot's mission to make training accessible and its vision to become one of the largest IT training companies through innovative delivery methods.
Fluor Corporation is using IBM's social software to empower its 43,000 global workforce to better communicate, collaborate, and spur innovation across its engineering, construction, and project management activities. Within weeks, over half of Fluor's workforce joined IBM's social networking platform, allowing employees to share expertise in real-time to develop innovative solutions for diverse project issues. By connecting its global workforce, Fluor is encouraging deeper innovation and knowledge-sharing among employees to improve productivity and gain competitive advantage.
This document provides an overview of an AI project called XMANAI. It discusses:
1) Key AI concepts like definitions, policies, trends and explainable AI.
2) The challenges XMANAI aims to address like increasing trust and transparency in AI for manufacturing.
3) XMANAI's vision to develop explainable hybrid and graph AI models coupled with complex data and model management to solve manufacturing problems.
The document provides a study guide for the BIS 220 Final Exam at UOP with 30 multiple choice questions covering various topics in information systems. Some of the questions address enterprise systems, user involvement, artificial intelligence, privacy and security issues, formatting and layout functions in Microsoft Office applications, databases, e-commerce models, wireless networking standards, and aspects of the systems development life cycle.
Information governance in the Facebook EraJohn Mancini
This document discusses the implications of emerging technologies like social media and digital content for records managers. It notes that consumer technologies have advanced rapidly while enterprise systems have remained stagnant, and social media now generates vast amounts of potentially record-worthy information that falls outside traditional records management practices. The document examines challenges around retaining accurate and trustworthy information across various media, assessing what constitutes a public record on sites like Facebook and Twitter, and ensuring compliance with records retention requirements for digital communications.
Jim Spohrer from IBM gave a keynote presentation on artificial intelligence. Some of the main points included:
- IBM is transforming into a cognitive solutions and cloud platform company and is focusing on intelligence augmentation through technologies like Watson.
- Spohrer discussed definitions of concepts like artificial intelligence, intelligence augmentation, and different types of cognitive systems.
- He provided perspectives on AI from an industry viewpoint and IBM's viewpoint.
- Spohrer summarized IBM's response to a White House request for information on preparing for the future of artificial intelligence.
The document discusses how enterprise IT is changing from a focus on systems of record that control information flow up the organization, to also incorporating systems of engagement that facilitate collaborative sharing of information across the organization. It notes tensions that have arisen between these systems of record and systems of engagement, and how the latter are being used to help drive business objectives like customer engagement and operational dexterity.
This chapter discusses data and knowledge management. It covers topics like data warehousing, business intelligence, data mining, data visualization technologies, and knowledge management. The key points are:
1) Data management is critical for IT applications but difficult due to increasing data volumes, scattered sources, and quality/integrity issues.
2) A data warehouse contains subject-oriented historical data from multiple sources organized for analysis. It aids decision making through queries, reports, analytics and mining.
3) Business intelligence uses tools like querying, reporting, analytics, mining and forecasting to extract knowledge and support decisions from corporate data.
4) Data visualization technologies include GIS, simulations, virtual reality and multimedia to present data visually
bis 220,uop bis 220,uop bis 220 complete course,uop bis 220 entire course,uop bis 220 week 1,uop bis 220 week 2,uop bis 220 week 3,uop bis 220 week 4,uop bis 220 week 5,uop bis 220 tutorials,bis 220 assignments,bis 220 help
Similar to LD@EM - what Linked Data does, what Linked Data needs (20)
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.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
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- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
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Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
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Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
2. A five course menu
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•
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The problem space
Drivers and opportunities
Challenges
Patterns
Next steps
3. The enterprise
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•
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Part of the Daily Mail group
Global publishing & data business
Conferences and seminars
32 countries
3.5K employees
13 Business Units
100+ publications
100+ websites
5. Project Delphi: drivers and vision
• Exploit high overlap of concerns to transform
bounded information and segregated data
into shared knowledge
• Ability to generate new transversal products
offering by leveraging the knowledge graph of
existing content
7. Not all fun and games
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•
•
•
•
•
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Retain ownership
Independent change management
Editorial style
Ubiquitous language
Reference data
Information governance
Data governance
16. Go public?
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Linked Data doesn’t have to be no-profit
Public vs Proprietary datasets
Replicate model on a larger scale
Expose public domains for searchability and
KB augmentation as semantically rich
endpoints