This talk discusses the role of Knowledge Management in Smart City and explores the potentials of various service domains for the smart city concepts in Hong Kong
Digital delta & geodesign sept2014: connection water data with geo data infra...Raymond Feron
Digital Delta presentation connection the water data sharing concept in the Netherlandse with developments in geo data infrastructure, Inspire and geo design.
This document provides an overview of an EU-Japan smart city project and a city platform as a service solution. The project aims to develop an open social city platform, deploy the platform as a service, empower citizens with their data, validate the platform with use cases, and create blueprints for other cities. The document discusses what makes a smart city, the project partners and objectives, the platform architecture with different layers, and benefits for cities. It also examines success factors like stakeholder involvement, openness and data sharing, and upscaling potential. Example use cases presented are smart transportation, emergency care, water management, events, and government. The last section describes a Sapporo use case focusing on improving services for tourists using open data
2018 SXSW EDU PanelPicker proposal by the U.S. Department of Transportation's Intelligent Transportation Systems Professional Capacity Building Program and its industry partners
How can FIWARE and Standardised Context Data Management create synergies between Robotic Systems and other Smart Solutions. How to integrate Real-Time Operating System (ROS) with FIWARE Orion Context Broker.
● What is a Robotic System?
● How to get/put context data out from/into robotic systems?
Møte mellom NTNU Smart Sustainable Cities og Gjøvik kommune & eiendomsutviklere, 12.01.2018
Overview of ICT/Computer Science projects and large-scale approaches to understand and build Smart Cities.
The document discusses the human factor in big data and crowdsourcing. It provides examples of how crowdsourcing can be used to collect parking availability data and train algorithms to predict transportation modal split. The document introduces a methodology for determining the what, who, how, and why of crowdsourcing projects. This includes defining the task, identifying the crowd, outlining the process, and understanding motivations. It also describes the Qrowd project, which develops a platform to deploy hybrid human-machine workflows for data collection and analysis.
Digital delta & geodesign sept2014: connection water data with geo data infra...Raymond Feron
Digital Delta presentation connection the water data sharing concept in the Netherlandse with developments in geo data infrastructure, Inspire and geo design.
This document provides an overview of an EU-Japan smart city project and a city platform as a service solution. The project aims to develop an open social city platform, deploy the platform as a service, empower citizens with their data, validate the platform with use cases, and create blueprints for other cities. The document discusses what makes a smart city, the project partners and objectives, the platform architecture with different layers, and benefits for cities. It also examines success factors like stakeholder involvement, openness and data sharing, and upscaling potential. Example use cases presented are smart transportation, emergency care, water management, events, and government. The last section describes a Sapporo use case focusing on improving services for tourists using open data
2018 SXSW EDU PanelPicker proposal by the U.S. Department of Transportation's Intelligent Transportation Systems Professional Capacity Building Program and its industry partners
How can FIWARE and Standardised Context Data Management create synergies between Robotic Systems and other Smart Solutions. How to integrate Real-Time Operating System (ROS) with FIWARE Orion Context Broker.
● What is a Robotic System?
● How to get/put context data out from/into robotic systems?
Møte mellom NTNU Smart Sustainable Cities og Gjøvik kommune & eiendomsutviklere, 12.01.2018
Overview of ICT/Computer Science projects and large-scale approaches to understand and build Smart Cities.
The document discusses the human factor in big data and crowdsourcing. It provides examples of how crowdsourcing can be used to collect parking availability data and train algorithms to predict transportation modal split. The document introduces a methodology for determining the what, who, how, and why of crowdsourcing projects. This includes defining the task, identifying the crowd, outlining the process, and understanding motivations. It also describes the Qrowd project, which develops a platform to deploy hybrid human-machine workflows for data collection and analysis.
The document presents a conceptual framework for using blockchain technology in a smart parking system. It introduces smart cities and smart parking concepts. The objective is to demonstrate how blockchain can be applied to an integrated smart parking system. It describes Ranchi, India as a smart city case study and presents a conceptual framework. Blockchain technology could be integrated into the smart parking system to enable secure and transparent parking transactions. The framework is explored through a literature review and methodology involving primary and secondary research on Ranchi's smart parking needs.
Open Smart City in Canada Project
Funded by: GeoConnections
Lead by: OpenNorth
Project core team:
Rachel Bloom & Jean-Noe Landry, Open North
Dr. Tracey P. Lauriault, Carleton University
David Fewer, LL.M., Canadian Internet Policy and Public Interest Clinic (CIPPIC)
Dr. Mark Fox, University of Toronto
Research Assistants Carleton University
Carly Livingstone
Stephen Letts
Open Smart Cities in Canada - Webinar 3 - EnglishOpen North
In this webinar we present a first ever definition for an Open Smart City and the Open Smart Cities Guide V1.0, informed by research conducted in Canada and an examination of international best practices. In the context of Canada’s Smart Cities Challenge and the public conversation regarding Sidewalk Labs, this webinar gave us timely opportunity to receive public feedback on the definition and structure of the guide. The webinar refers to tools, practices, policies, recommendations and legal frameworks to guide Canadian municipalities toward co-creating Open Smart Cities with their residents.
License: CC BY-SA 4.0
Big data: uncovering new mobility patterns and redefining planning practicesMickael Pero
Using representations and data that are digital, we can create images about what happens where and when in cities, including mobility patterns that remained unaccounted until now. If properly analysed, big data for mobility can radically improve the socioeconomic and environmental analysis of public and sustainable transport. This session will discuss how big data is affecting mobility in terms of new travel behaviour and transport planning. At the user level, the relations between social networks, social media usage and travel behaviour in EU countries will be discussed. Scientific insight on the social media usage of millennial students in EU countries to understand their impact on social activities and mobility in urban areas will be presented. At the planer level, responses to changes in mobility patterns or unaccounted needs given by the analysis of public transport smart data will be presented. Advances on an integrated accessibility index will be discussed as a way for policy makers to improve current transport planning practices. Yet, big data in transport is not immune from some problems, especially those relating to statistical validity, bias and incorrectly imputed causality. This point will be discussed alongside liability, since Big data is gathered and manipulated by many different stakeholders. The proposed panel discussion therefore aims to provide to the audience a clear understanding on ways in which big data affects travel behaviour and transport planning, while accounting for data quality and pan European standardisation aspects.
The document discusses 7 trends that will transform local government through technology:
1. Rethinking technology use and deployment as budgets are constrained
2. Evaluating technology leadership models and who makes decisions
3. Increasing use of cloud-based solutions and managing associated risks
4. Ensuring broadband access to power e-government and mobile services
5. Leveraging social and civic media platforms
6. Sharing services across jurisdictions to reduce costs
7. Strengthening enterprise security for networks, infrastructure, and cyber threats.
Citizen Centric Governments - Role of Emerging TechnologiesSanjay Talukdar
Contents of the presentation:
Implementing a Citizen Centric Approach to Delivering Government Services
Identification of Technologies
Brief on Each Technologies
Case Studies: Role of Emerging Technologies by other Goverments
Towards a Smart (City) Data Science. A case-based retrospective on policies, ...Enrico Daga
This document summarizes a presentation by Dr. Enrico Daga on smart city data science. It discusses several projects and initiatives in Milton Keynes, UK related to building infrastructure for smart city applications and research. This includes a data hub cataloguing city datasets, tools to support data science education and pilots with local businesses. It also covers work on privacy-aware systems, policy propagation in data flows, and using city data to power simulations and games.
Sensing-as-a-Service - An IoT Service Provider's PerspectivesDr. Mazlan Abbas
UM-MCMC Connected Communities and Internet of Things (IoT): Building Value through Visibility
at Universiti Malaya (UM)
Wednesday, December 10, 2014 from 8:00 AM to 4:00 PM (MYT)
Kuala Lumpur, Malaysia
I4ADA 2019 - Presentation Cedric WachholzPaul van Heel
See https://i4ada.org for additional information and videorecordings of the presentations held at the Hague Summit for Accountability in the Digital Age
Day 2: Openness: making use of open data, Mr. Peter Reichstädter, CIO, Parlia...wepc2016
The document discusses a world e-parliament conference held in 2016 in Valparaiso, Chile focused on challenges of innovation and business models between parliament administrations. It covers topics around open data, interoperability, open government data principles and challenges, and visions for the future of parliaments including areas like security, big data, and citizen-centric services. Standardization efforts are discussed at different phases of open data processes to promote sharing of information and resources between organizations. Lessons learned include taking a holistic approach and reducing complexity while avoiding siloed thinking.
Why commercially viable cross-domain use cases will drive innovation and hori...Open & Agile Smart Cities
In a joint webinar on 24 May 2018, AIOTI and OASC addressed the question “Why commercially viable cross-domain use cases will drive innovation and horizontalization of IoT-enabled smart cities”.
Speakers:
Keith Dickerson, AIOTI and Climate Associates
Martin Brynskov, OASC
Omar Elloumi, AIOTI and Nokia.
Inter-modal Transport Data Sharing in Hong Kong: Use Case Development WorkshopTRPC Pte Ltd
The third phase of research for the Inter-Modal Transport Data-Sharing project was a workshop sponsored by Daimler Mobility, Via Transportation, Thales Transport & Security on use cases, policies and regulations, attended by 70 participants from 34 organisations around five tables followed by a plenary and hosted by HKU SPACE. Attendance was 100% and registrations had to close, a sure proof-of-concept for the relevance of data-sharing for the future development of sustainable mobility in Hong Kong. The focus on use cases came out of the fora held in May and June and demonstrates the progress being made as more stakeholders become involved.
Challenges of infrastructure development and implementation of India's smart ...ASHRAE Rajasthan Chapter
This document discusses the challenges of developing infrastructure for India's Smart Cities program. It notes that siloed implementations, gaps in infrastructure, lack of financing, ICT expertise and security, integrated services, citizen engagement, and lack of vision pose challenges. It also discusses specific challenges around cybersecurity as more devices are connected. Finally, it provides an example budget for smart city development in Rajasthan.
The document discusses concepts related to computers, information and communication technology (ICT), and the internet. It defines a computer as an electronic device that can store and process large amounts of data. ICT is defined as technologies used to convey, manipulate, and store data electronically. The internet is described as the interconnection of many computers via a global network, allowing for various applications like email, web browsing, and file transfers. The document outlines characteristics, applications, and benefits of computers, ICT tools, and internet/web technologies in fields such as education, business, and agriculture.
Civic Technology and Mind Sets in Big DataAndrew Nash
This document summarizes Andrew Nash's presentation on civic technology and mindsets in big data. It discusses how civic technology uses data to enable public engagement and participation for good governance. It outlines how data collection and reporting through social media and sensors has increased due to big data. It also describes how this data can be analyzed using open data and tools, and how collaboration and action are taking place through games, visualizations, and decision making platforms. New forms of transportation provision are emerging through information sharing, civic groups, and crowd-sourced or app-based services.
Paul Brubaker - Introduction: Smart and Connected Urban MobilityShane Mitchell
This document summarizes a session on smart and connected urban mobility. The session will explore challenges of existing urban transportation systems and innovative solutions needed for smart mobility. Speakers will discuss the roles of ICT, strategies for social and environmental goals, and enablers of sustainable mobility. The expected outcome is a set of principles for smart connected urban mobility that allows intelligent, responsive, and environmentally friendly movement of people and goods while empowering citizens and enabling data-driven decision making.
DISIT: Distributed Data Intelligence and Technology LabPaolo Nesi
DISIT lab is one of the most active ICT research labs in Tuscany, Italy with over 20 years of experience. It conducts research in areas such as data mining, artificial intelligence, big data, and knowledge engineering. DISIT has successfully developed many national and international research projects and provides infrastructure for cloud and distributed computing. It produces tools and solutions in domains like smart cities, healthcare, education and more that are applied through projects and made available on its website.
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;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
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!
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The document presents a conceptual framework for using blockchain technology in a smart parking system. It introduces smart cities and smart parking concepts. The objective is to demonstrate how blockchain can be applied to an integrated smart parking system. It describes Ranchi, India as a smart city case study and presents a conceptual framework. Blockchain technology could be integrated into the smart parking system to enable secure and transparent parking transactions. The framework is explored through a literature review and methodology involving primary and secondary research on Ranchi's smart parking needs.
Open Smart City in Canada Project
Funded by: GeoConnections
Lead by: OpenNorth
Project core team:
Rachel Bloom & Jean-Noe Landry, Open North
Dr. Tracey P. Lauriault, Carleton University
David Fewer, LL.M., Canadian Internet Policy and Public Interest Clinic (CIPPIC)
Dr. Mark Fox, University of Toronto
Research Assistants Carleton University
Carly Livingstone
Stephen Letts
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In this webinar we present a first ever definition for an Open Smart City and the Open Smart Cities Guide V1.0, informed by research conducted in Canada and an examination of international best practices. In the context of Canada’s Smart Cities Challenge and the public conversation regarding Sidewalk Labs, this webinar gave us timely opportunity to receive public feedback on the definition and structure of the guide. The webinar refers to tools, practices, policies, recommendations and legal frameworks to guide Canadian municipalities toward co-creating Open Smart Cities with their residents.
License: CC BY-SA 4.0
Big data: uncovering new mobility patterns and redefining planning practicesMickael Pero
Using representations and data that are digital, we can create images about what happens where and when in cities, including mobility patterns that remained unaccounted until now. If properly analysed, big data for mobility can radically improve the socioeconomic and environmental analysis of public and sustainable transport. This session will discuss how big data is affecting mobility in terms of new travel behaviour and transport planning. At the user level, the relations between social networks, social media usage and travel behaviour in EU countries will be discussed. Scientific insight on the social media usage of millennial students in EU countries to understand their impact on social activities and mobility in urban areas will be presented. At the planer level, responses to changes in mobility patterns or unaccounted needs given by the analysis of public transport smart data will be presented. Advances on an integrated accessibility index will be discussed as a way for policy makers to improve current transport planning practices. Yet, big data in transport is not immune from some problems, especially those relating to statistical validity, bias and incorrectly imputed causality. This point will be discussed alongside liability, since Big data is gathered and manipulated by many different stakeholders. The proposed panel discussion therefore aims to provide to the audience a clear understanding on ways in which big data affects travel behaviour and transport planning, while accounting for data quality and pan European standardisation aspects.
The document discusses 7 trends that will transform local government through technology:
1. Rethinking technology use and deployment as budgets are constrained
2. Evaluating technology leadership models and who makes decisions
3. Increasing use of cloud-based solutions and managing associated risks
4. Ensuring broadband access to power e-government and mobile services
5. Leveraging social and civic media platforms
6. Sharing services across jurisdictions to reduce costs
7. Strengthening enterprise security for networks, infrastructure, and cyber threats.
Citizen Centric Governments - Role of Emerging TechnologiesSanjay Talukdar
Contents of the presentation:
Implementing a Citizen Centric Approach to Delivering Government Services
Identification of Technologies
Brief on Each Technologies
Case Studies: Role of Emerging Technologies by other Goverments
Towards a Smart (City) Data Science. A case-based retrospective on policies, ...Enrico Daga
This document summarizes a presentation by Dr. Enrico Daga on smart city data science. It discusses several projects and initiatives in Milton Keynes, UK related to building infrastructure for smart city applications and research. This includes a data hub cataloguing city datasets, tools to support data science education and pilots with local businesses. It also covers work on privacy-aware systems, policy propagation in data flows, and using city data to power simulations and games.
Sensing-as-a-Service - An IoT Service Provider's PerspectivesDr. Mazlan Abbas
UM-MCMC Connected Communities and Internet of Things (IoT): Building Value through Visibility
at Universiti Malaya (UM)
Wednesday, December 10, 2014 from 8:00 AM to 4:00 PM (MYT)
Kuala Lumpur, Malaysia
I4ADA 2019 - Presentation Cedric WachholzPaul van Heel
See https://i4ada.org for additional information and videorecordings of the presentations held at the Hague Summit for Accountability in the Digital Age
Day 2: Openness: making use of open data, Mr. Peter Reichstädter, CIO, Parlia...wepc2016
The document discusses a world e-parliament conference held in 2016 in Valparaiso, Chile focused on challenges of innovation and business models between parliament administrations. It covers topics around open data, interoperability, open government data principles and challenges, and visions for the future of parliaments including areas like security, big data, and citizen-centric services. Standardization efforts are discussed at different phases of open data processes to promote sharing of information and resources between organizations. Lessons learned include taking a holistic approach and reducing complexity while avoiding siloed thinking.
Why commercially viable cross-domain use cases will drive innovation and hori...Open & Agile Smart Cities
In a joint webinar on 24 May 2018, AIOTI and OASC addressed the question “Why commercially viable cross-domain use cases will drive innovation and horizontalization of IoT-enabled smart cities”.
Speakers:
Keith Dickerson, AIOTI and Climate Associates
Martin Brynskov, OASC
Omar Elloumi, AIOTI and Nokia.
Inter-modal Transport Data Sharing in Hong Kong: Use Case Development WorkshopTRPC Pte Ltd
The third phase of research for the Inter-Modal Transport Data-Sharing project was a workshop sponsored by Daimler Mobility, Via Transportation, Thales Transport & Security on use cases, policies and regulations, attended by 70 participants from 34 organisations around five tables followed by a plenary and hosted by HKU SPACE. Attendance was 100% and registrations had to close, a sure proof-of-concept for the relevance of data-sharing for the future development of sustainable mobility in Hong Kong. The focus on use cases came out of the fora held in May and June and demonstrates the progress being made as more stakeholders become involved.
Challenges of infrastructure development and implementation of India's smart ...ASHRAE Rajasthan Chapter
This document discusses the challenges of developing infrastructure for India's Smart Cities program. It notes that siloed implementations, gaps in infrastructure, lack of financing, ICT expertise and security, integrated services, citizen engagement, and lack of vision pose challenges. It also discusses specific challenges around cybersecurity as more devices are connected. Finally, it provides an example budget for smart city development in Rajasthan.
The document discusses concepts related to computers, information and communication technology (ICT), and the internet. It defines a computer as an electronic device that can store and process large amounts of data. ICT is defined as technologies used to convey, manipulate, and store data electronically. The internet is described as the interconnection of many computers via a global network, allowing for various applications like email, web browsing, and file transfers. The document outlines characteristics, applications, and benefits of computers, ICT tools, and internet/web technologies in fields such as education, business, and agriculture.
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This document summarizes Andrew Nash's presentation on civic technology and mindsets in big data. It discusses how civic technology uses data to enable public engagement and participation for good governance. It outlines how data collection and reporting through social media and sensors has increased due to big data. It also describes how this data can be analyzed using open data and tools, and how collaboration and action are taking place through games, visualizations, and decision making platforms. New forms of transportation provision are emerging through information sharing, civic groups, and crowd-sourced or app-based services.
Paul Brubaker - Introduction: Smart and Connected Urban MobilityShane Mitchell
This document summarizes a session on smart and connected urban mobility. The session will explore challenges of existing urban transportation systems and innovative solutions needed for smart mobility. Speakers will discuss the roles of ICT, strategies for social and environmental goals, and enablers of sustainable mobility. The expected outcome is a set of principles for smart connected urban mobility that allows intelligent, responsive, and environmentally friendly movement of people and goods while empowering citizens and enabling data-driven decision making.
DISIT: Distributed Data Intelligence and Technology LabPaolo Nesi
DISIT lab is one of the most active ICT research labs in Tuscany, Italy with over 20 years of experience. It conducts research in areas such as data mining, artificial intelligence, big data, and knowledge engineering. DISIT has successfully developed many national and international research projects and provides infrastructure for cloud and distributed computing. It produces tools and solutions in domains like smart cities, healthcare, education and more that are applied through projects and made available on its website.
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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;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
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During the hour, we’ll take you through:
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.
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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!
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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.
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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 .
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In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
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.
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
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
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.
3. The Difference of Data and Information with Knowledge
3
Data: The amber light
Information : You need to stop soon
Knowledge: How to control the car
and when and how you should press
the brake to stop the car on time
Signals
Facts
Judgements/Skills/Know-
hows
4. Types of Knowledge
Source: Nonaka’s SECI Model, recreated from O’Dell & Hubert, 2011, p. 50
ExplicitKnowledge
TacitKnowledge
6. What is Knowledge Management?
6
Knowledge
Management is
the process of
capturing,
distributing, and
effectively using
knowledge.
Davenport (1994)
Knowledge Management
is a discipline that
promotes an integrated
approach to identifying,
capturing, evaluating,
retrieving, and sharing all
of an enterprise's
information assets. These
assets may include
databases, documents,
policies, procedures, and
previously un-captured
expertise and experience
in individual workers.
Duhon (1998)
………………….
………………….
………………….
11. Smart City Background
Internet of THINGS (IoT)
Characteristics:
1- Things (Devices, Sensors)
2- Connectivity
3- Communication
4- Data/Information
5- Ecosystem (Context)
6- Action/Decision
7- Smart (Intelligent)
11
?
14. 14
Smart City Background
The use of digital technology to create a new
business model or value added service
The process of changing from analogue to digital
form
Datafication:
Taking visible or invisible processes or actions into data that can be monitored,
tracked, analyzed or optimized
Digitization:
Digitalization:
34. Intelligent Transport System (ITS)
Hong Kong Smart Mobility Initiative
34
Area Traffic Control
Systems
Closed Circuit Television
Images on the Internet
Traffic Control and
Surveillance Systems
Automatic Toll Collection
System
Octopus
Electronic Parking Meters
Traffic Control Centre
Transport Information
System
Speed Map Panels
Red Light Cameras and Speed
Enforcement Cameras
Journey Time Indication System
Traffic Speed Map
Hong Kong eTransport
Hong Kong eRouting
eTraffic News
Traffic and Incident
Management System
Source: td.gov.hk
35. Smart HKIA
Hong Kong Smart Mobility Initiative
35
Yahoo.com
Singapore Airport Terminal 4
HKG My Flight APP
36. Hong Kong Smart People Initiative
36
Develop STEAM Curriculum for Primary and Secondary Schools
37. Hong Kong Smart People Initiative
37
Develop STEAM Curriculum for Primary and Secondary Schools
38. Hong Kong Smart People Initiative
38
Nurturing Data Science and Technical Education
in Hong Kong
39. Smart Intelligent and Integrated Poles (Smart Poles)
Hong Kong Smart Government Initiative
39
5G