The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
This article is all about what AI trends will emerge in the field of creative operations in 2024. All the marketers and brand builders should be aware of these trends for their further use and save themselves some time!
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
This article is all about what AI trends will emerge in the field of creative operations in 2024. All the marketers and brand builders should be aware of these trends for their further use and save themselves some time!
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
5 Public speaking tips from TED - Visualized summarySpeakerHub
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world.
Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance.
For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age.
Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
A brief introduction to DataScience with explaining of the concepts, algorithms, machine learning, supervised and unsupervised learning, clustering, statistics, data preprocessing, real-world applications etc.
It's part of a Data Science Corner Campaign where I will be discussing the fundamentals of DataScience, AIML, Statistics etc.
Time Management & Productivity - Best PracticesVit Horky
Here's my presentation on by proven best practices how to manage your work time effectively and how to improve your productivity. It includes practical tips and how to use tools such as Slack, Google Apps, Hubspot, Google Calendar, Gmail and others.
The six step guide to practical project managementMindGenius
The six step guide to practical project management
If you think managing projects is too difficult, think again.
We’ve stripped back project management processes to the
basics – to make it quicker and easier, without sacrificing
the vital ingredients for success.
“If you’re looking for some real-world guidance, then The Six Step Guide to Practical Project Management will help.”
Dr Andrew Makar, Tactical Project Management
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Applitools
During this webinar, Anand Bagmar demonstrates how AI tools such as ChatGPT can be applied to various stages of the software development life cycle (SDLC) using an eCommerce application case study. Find the on-demand recording and more info at https://applitools.info/b59
Key takeaways:
• Learn how to use ChatGPT to add AI power to your testing and test automation
• Understand the limitations of the technology and where human expertise is crucial
• Gain insight into different AI-based tools
• Adopt AI-based tools to stay relevant and optimize work for developers and testers
* ChatGPT and OpenAI belong to OpenAI, L.L.C.
More than Just Lines on a Map: Best Practices for U.S Bike Routes
This session highlights best practices and lessons learned for U.S. Bike Route System designation, as well as how and why these routes should be integrated into bicycle planning at the local and regional level.
Presenters:
Presenter: Kevin Luecke Toole Design Group
Co-Presenter: Virginia Sullivan Adventure Cycling Association
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...DevGAMM Conference
Has your project been caught in a storm of deadlines, clashing requirements, and the need to change course halfway through? If yes, then check out how the administration team navigated through all of this, relocating 160 people from 3 countries and opening 2 offices during the most turbulent time in the last 20 years. Belka Games’ Chief Administrative Officer, Katerina Rudko, will share universal approaches and life hacks that can help your project survive unstable periods when there seem to be too many tasks and a lack of time and people.
This presentation was designed to provide strategic recommendations for a brand in decline. The deck also incorporates a situational assessment, including a brand identity, positioning, architecture, and portfolio strategy for the Brand.
Presentation originally created for NYU Stern's Brand Strategy course. Design by Erica Santiago & Chris Alexander.
Hi, I'm Keith Alexander, a Technical Consultant for Talis doing Linked Data consultancy. I'm going to try to show you what Linked Data is, and explain why it's the way forward for sharing data on the web, and why important data providers like data.gov.uk, BBC, and Ordnance Survey, are doing it.
I imagine in this room we've got a mixture of people here, some might already know all about Linked Data, and maybe others who heard of it for the first time this morning, and are wondering what it is and what it looks like....
This is Linked Data, this is what it sometimes looks like
It's a web page
about a school
at the top is the URI of the school. The web is a big space for storing documents and data. You need a way for uniquely and unambiguously identifying the things that the data is about. Luckily the web has these: http URIs,
If you know that this URI identifies Arden School in the Black Country, and want data about the school, you put the URI in the Address bar of your browser, and you get back this web page telling you stuff about the school.
All this stuff is data describing Arden School. The properties on the left are all links. If you want to find out what "MSOA" means you can follow the link for more information. If you want to find out more about the Black Country, that's also a link
HM Goverment Schools Data
http://education.data.gov.uk/
So is this, Open Library is Linked Data
The prime aim of this website wasn't to publish Linked Data per se, but to provide a record for every book in the world,
however their tagline One Web Page for every Book ties in very nicely with Linked Data publishing practices - it makes it easy for them to provide a URI for every book
Open Library
http://openlibrary.org/
And this is Linked Data at the BBC, they’re doing a lot with Linked Data.
BBC Wildlife Finder
http://www.bbc.co.uk/wildlifefinder/
This is Linked Data too ...
BIS Research Funding Explorer
http://bis.clients.talis.com/
So, what is linked data?
Linked Data is about taking all the good things we know about the way the web works today and applying that to data.
It's thinking about data in the same way we think about web pages, talking about things we care about and creating connections between them with links.
It takes away from many of the constraints of tables in Excel, or the limitations of XML.
Today, the tools are not all there yet. There are some great tools for working with this stuff, but most are aimed at developers and require some technical knowledge. More consumer focussed tools are coming though.
So, what is linked data?
Linked Data is about taking all the good things we know about the way the web works today and applying that to data.
It's thinking about data in the same way we think about web pages, talking about things we care about and creating connections between them with links.
It takes away from many of the constraints of tables in Excel, or the limitations of XML.
Today, the tools are not all there yet. There are some great tools for working with this stuff, but most are aimed at developers and require some technical knowledge. More consumer focussed tools are coming though.
So, what is linked data?
Linked Data is about taking all the good things we know about the way the web works today and applying that to data.
It's thinking about data in the same way we think about web pages, talking about things we care about and creating connections between them with links.
It takes away from many of the constraints of tables in Excel, or the limitations of XML.
Today, the tools are not all there yet. There are some great tools for working with this stuff, but most are aimed at developers and require some technical knowledge. More consumer focussed tools are coming though.
So, what is linked data?
Linked Data is about taking all the good things we know about the way the web works today and applying that to data.
It's thinking about data in the same way we think about web pages, talking about things we care about and creating connections between them with links.
It takes away from many of the constraints of tables in Excel, or the limitations of XML.
Today, the tools are not all there yet. There are some great tools for working with this stuff, but most are aimed at developers and require some technical knowledge. More consumer focussed tools are coming though.
So, what is linked data?
Linked Data is about taking all the good things we know about the way the web works today and applying that to data.
It's thinking about data in the same way we think about web pages, talking about things we care about and creating connections between them with links.
It takes away from many of the constraints of tables in Excel, or the limitations of XML.
Today, the tools are not all there yet. There are some great tools for working with this stuff, but most are aimed at developers and require some technical knowledge. More consumer focussed tools are coming though.
Linked data provides far more than a way to publish data. It provides a way to say things in a machine-readable way. As more of the web becomes machine-readable so more of the mundane search, navigation, co-ordination and aggregation tasks can be completed for us by machines.
And, in the meantime, it becomes easier for humans to combine data too.
As we’ve just seen, it’s not a different web, or a new web, it’s the web we already have made better.
I say it’s not really about publishing data because we forget that data is really about describing things; the amount of traffic on a road; the performance of a school; the expenses paid to an mp.
When we talk about data, the uniformity and number of things we’re talking about can lead us to forget what it is we’re trying to say.
This is how the Linked Data web looked in May of 2007, much like the list of websites founded before 1992
Let’s see how it’s grown...
This is the most recent diagram. This was created by asking the community to register their datasets. A crawling approach would be more accurate and more complete, but the team behind the diagram didn’t have the infrastructure to do that.
This diagram represents billions of statements about everything from Miss Jean Brodie to the human genome and would be equivalent to the web sites founded before 1995
These are datasets we at Talis are involved with in some way, for some we created the data, did the data modelling work or helped an in-house team do their own data modelling. Some we’re hosting the primary copy in our platform, and for others we’re hosting a mirrored copy in our platform.
These are just some of the big names using this technology.
You know Facebook’s ‘like’ button? That uses Facebook’s Open Graph Protocol — which is Linked Data.
Google recently bought Metaweb, a company working with this technology, and just a few days ago announced that it will be supporting product descriptions — data — published using Good Relations; a Linked Data vocabulary for describing products.
Some of these organisations are using LD within their own domains, as yet not publishing in on the web. Nevertheless they can benefit from the ability to link with data out on the wider web
Let’s take another look at Wildlife Finder and see how to get at the data...
The data behind the page is available in a machine readable form - RDF.
RDF is easy to grasp for anyone used to working with data. We’ve been training lots of different groups, data owners, curators, developers, database administrators. What we find is that people find the approach very natural and easy to work with; the hardest thing is letting go of the way Excel and SQL databases have taught us to think in tables.
So, going back to the page in question, let’s take a look at the kinds of things it is saying.
Let’s start by looking quickly at a little of what the page says to us as humans...
[relate each bullet to where it appears on the page]
This is some of what the page says to us. In HTML, these statements are not machine-readable. Humans can pick them out because the page is very well designed visually and because people are good at this — we’re smart. Machines are not good at this.
In Linked Data, these statements get made in a machine-readable way as well, making it possible for tools to consume this site in other ways than simply through the browser.
Wildlife Finder is one of the BBC Linked Data properties that we helped design the Linked Data for and we think it’s been a great success. You can see a similar approach to building a Linked Data site on the BBC’s online coverage of the 2010 World Cup. We also helped design the Linked Data for that.
Let’s start by looking quickly at a little of what the page says to us as humans...
[relate each bullet to where it appears on the page]
This is some of what the page says to us. In HTML, these statements are not machine-readable. Humans can pick them out because the page is very well designed visually and because people are good at this — we’re smart. Machines are not good at this.
In Linked Data, these statements get made in a machine-readable way as well, making it possible for tools to consume this site in other ways than simply through the browser.
Wildlife Finder is one of the BBC Linked Data properties that we helped design the Linked Data for and we think it’s been a great success. You can see a similar approach to building a Linked Data site on the BBC’s online coverage of the 2010 World Cup. We also helped design the Linked Data for that.
Let’s start by looking quickly at a little of what the page says to us as humans...
[relate each bullet to where it appears on the page]
This is some of what the page says to us. In HTML, these statements are not machine-readable. Humans can pick them out because the page is very well designed visually and because people are good at this — we’re smart. Machines are not good at this.
In Linked Data, these statements get made in a machine-readable way as well, making it possible for tools to consume this site in other ways than simply through the browser.
Wildlife Finder is one of the BBC Linked Data properties that we helped design the Linked Data for and we think it’s been a great success. You can see a similar approach to building a Linked Data site on the BBC’s online coverage of the 2010 World Cup. We also helped design the Linked Data for that.
Let’s start by looking quickly at a little of what the page says to us as humans...
[relate each bullet to where it appears on the page]
This is some of what the page says to us. In HTML, these statements are not machine-readable. Humans can pick them out because the page is very well designed visually and because people are good at this — we’re smart. Machines are not good at this.
In Linked Data, these statements get made in a machine-readable way as well, making it possible for tools to consume this site in other ways than simply through the browser.
Wildlife Finder is one of the BBC Linked Data properties that we helped design the Linked Data for and we think it’s been a great success. You can see a similar approach to building a Linked Data site on the BBC’s online coverage of the 2010 World Cup. We also helped design the Linked Data for that.
Let’s start by looking quickly at a little of what the page says to us as humans...
[relate each bullet to where it appears on the page]
This is some of what the page says to us. In HTML, these statements are not machine-readable. Humans can pick them out because the page is very well designed visually and because people are good at this — we’re smart. Machines are not good at this.
In Linked Data, these statements get made in a machine-readable way as well, making it possible for tools to consume this site in other ways than simply through the browser.
Wildlife Finder is one of the BBC Linked Data properties that we helped design the Linked Data for and we think it’s been a great success. You can see a similar approach to building a Linked Data site on the BBC’s online coverage of the 2010 World Cup. We also helped design the Linked Data for that.
Let’s start by looking quickly at a little of what the page says to us as humans...
[relate each bullet to where it appears on the page]
This is some of what the page says to us. In HTML, these statements are not machine-readable. Humans can pick them out because the page is very well designed visually and because people are good at this — we’re smart. Machines are not good at this.
In Linked Data, these statements get made in a machine-readable way as well, making it possible for tools to consume this site in other ways than simply through the browser.
Wildlife Finder is one of the BBC Linked Data properties that we helped design the Linked Data for and we think it’s been a great success. You can see a similar approach to building a Linked Data site on the BBC’s online coverage of the 2010 World Cup. We also helped design the Linked Data for that.
Let’s move that screenshot out of the way to make room for some more stuff...
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
The Linked Data model can be written many ways and one of the ways we use a lot is a simple diagram.
We can draw the statements we took from the page, that are also in the Linked Data, and draw a picture of them.
[go through statements]
This simple diagrammatic approach is how we do much of our design work and is a key tool for understanding what things are and how they relate, link, to one another.
Notice how what we’ve drawn is a web of interconnected things? That’s how we build this web of data.
Think about a CSV file for a second, one column for each property of the thing being described. The same number of columns on every row. Lots of empty columns where properties are optional or have a varying number of values. Take a list of your friends on facebook? how many columns do you allow? some people will only need a few, some would need thousands.
By duplication I mean duplication caused by the way we write data into files. Say you have a CSV or XML file with data about employees, lots of people work for the same companies. In CSV, or XML, you have two choices, you can either repeat information about the company for each employee or you can invent your own way of referencing a separate file with a list of companies. In Linked Data the descriptions of employees and companies can all live happily together in one place, and there is support in the links of Linked Data for connecting employees with their employers.
Because we can link anything to anything directly without having to use intermediate stages, many to many in Linked Data is simple.
Have you ever tried to take two databases with different schema and merge them or even just two CSV files?
With Linked Data the data might be different but the underlying data model allows you to mix data from different places together trivially.
Have you ever looked at a csv file and wondered what that column of data was? some strange code or other that you can’t work out? In Linked Data the properties, sort of equivalent to column headings in CSV, are web addresses to, copy and paste it into a browser and there is the documentation for the property explaining exactly what it means. The documentation is Linked Data too, so tools can also go and fetch that information for you.
Think about a CSV file for a second, one column for each property of the thing being described. The same number of columns on every row. Lots of empty columns where properties are optional or have a varying number of values. Take a list of your friends on facebook? how many columns do you allow? some people will only need a few, some would need thousands.
By duplication I mean duplication caused by the way we write data into files. Say you have a CSV or XML file with data about employees, lots of people work for the same companies. In CSV, or XML, you have two choices, you can either repeat information about the company for each employee or you can invent your own way of referencing a separate file with a list of companies. In Linked Data the descriptions of employees and companies can all live happily together in one place, and there is support in the links of Linked Data for connecting employees with their employers.
Because we can link anything to anything directly without having to use intermediate stages, many to many in Linked Data is simple.
Have you ever tried to take two databases with different schema and merge them or even just two CSV files?
With Linked Data the data might be different but the underlying data model allows you to mix data from different places together trivially.
Have you ever looked at a csv file and wondered what that column of data was? some strange code or other that you can’t work out? In Linked Data the properties, sort of equivalent to column headings in CSV, are web addresses to, copy and paste it into a browser and there is the documentation for the property explaining exactly what it means. The documentation is Linked Data too, so tools can also go and fetch that information for you.
Think about a CSV file for a second, one column for each property of the thing being described. The same number of columns on every row. Lots of empty columns where properties are optional or have a varying number of values. Take a list of your friends on facebook? how many columns do you allow? some people will only need a few, some would need thousands.
By duplication I mean duplication caused by the way we write data into files. Say you have a CSV or XML file with data about employees, lots of people work for the same companies. In CSV, or XML, you have two choices, you can either repeat information about the company for each employee or you can invent your own way of referencing a separate file with a list of companies. In Linked Data the descriptions of employees and companies can all live happily together in one place, and there is support in the links of Linked Data for connecting employees with their employers.
Because we can link anything to anything directly without having to use intermediate stages, many to many in Linked Data is simple.
Have you ever tried to take two databases with different schema and merge them or even just two CSV files?
With Linked Data the data might be different but the underlying data model allows you to mix data from different places together trivially.
Have you ever looked at a csv file and wondered what that column of data was? some strange code or other that you can’t work out? In Linked Data the properties, sort of equivalent to column headings in CSV, are web addresses to, copy and paste it into a browser and there is the documentation for the property explaining exactly what it means. The documentation is Linked Data too, so tools can also go and fetch that information for you.
Think about a CSV file for a second, one column for each property of the thing being described. The same number of columns on every row. Lots of empty columns where properties are optional or have a varying number of values. Take a list of your friends on facebook? how many columns do you allow? some people will only need a few, some would need thousands.
By duplication I mean duplication caused by the way we write data into files. Say you have a CSV or XML file with data about employees, lots of people work for the same companies. In CSV, or XML, you have two choices, you can either repeat information about the company for each employee or you can invent your own way of referencing a separate file with a list of companies. In Linked Data the descriptions of employees and companies can all live happily together in one place, and there is support in the links of Linked Data for connecting employees with their employers.
Because we can link anything to anything directly without having to use intermediate stages, many to many in Linked Data is simple.
Have you ever tried to take two databases with different schema and merge them or even just two CSV files?
With Linked Data the data might be different but the underlying data model allows you to mix data from different places together trivially.
Have you ever looked at a csv file and wondered what that column of data was? some strange code or other that you can’t work out? In Linked Data the properties, sort of equivalent to column headings in CSV, are web addresses to, copy and paste it into a browser and there is the documentation for the property explaining exactly what it means. The documentation is Linked Data too, so tools can also go and fetch that information for you.
Think about a CSV file for a second, one column for each property of the thing being described. The same number of columns on every row. Lots of empty columns where properties are optional or have a varying number of values. Take a list of your friends on facebook? how many columns do you allow? some people will only need a few, some would need thousands.
By duplication I mean duplication caused by the way we write data into files. Say you have a CSV or XML file with data about employees, lots of people work for the same companies. In CSV, or XML, you have two choices, you can either repeat information about the company for each employee or you can invent your own way of referencing a separate file with a list of companies. In Linked Data the descriptions of employees and companies can all live happily together in one place, and there is support in the links of Linked Data for connecting employees with their employers.
Because we can link anything to anything directly without having to use intermediate stages, many to many in Linked Data is simple.
Have you ever tried to take two databases with different schema and merge them or even just two CSV files?
With Linked Data the data might be different but the underlying data model allows you to mix data from different places together trivially.
Have you ever looked at a csv file and wondered what that column of data was? some strange code or other that you can’t work out? In Linked Data the properties, sort of equivalent to column headings in CSV, are web addresses to, copy and paste it into a browser and there is the documentation for the property explaining exactly what it means. The documentation is Linked Data too, so tools can also go and fetch that information for you.
The point about mixing data is key to what we can achieve here.
I showed you this screenshot earlier, it’s a tool we built for Business, Innovation and Skills to show how research funding translated into intellectual property and economic growth.
The data for this came from several places
* the region data came from the administrative geography
* the research funding data from BIS
* and the patent data from the patent office
the three sets of data were converted independent of one another, with some basic agreement around what things would be called.
Once the three sets of data were converted to Linked Data we just put them all in one store and they meshed - a meshup rather than a mashup.
So what does this all have to do with Open Data?
Well, I’m not here to evangelise Open Data, others are doing that well-enough; and many people using Linked Data are not making that data open, but benefitting from it internally in their organisations — intranets of data.
The Open Data movement often talks about opening up the silos as a metaphor for getting data out. The idea being that the data is stored, like grain, in big silos that you can see are there but can’t get any benefit from.
Many approaches taken to Open Data, such as bulk downloads of CSV, publish a copy of the silo. Sure, you can download it and do what you want with it, but you don’t get changes without going back and downloading again.
That’s fine for a lot of situations, but for a lot more it’s not adequate. What if the data is too large for most people to consume, they want to be able to pick slices of it. What if the data is updated frequently? Linked Data can allow you live access.
Tim Berners-Lee talks about getting data onto the web using a 5-star system:
[5 stars on bullets]
Getting your data out onto the web in any format that people can consume is a good thing — do that today.
Once you’ve done that, start thinking about the star system and how you can get better at this.
If you’re consuming data, learn about this stuff and start pushing the keepers of the data you want to follow this 5-star system.
Linked Data provides the technology for 4 and 5 stars.
So what does this all have to do with Open Data?
Well, I’m not here to evangelise Open Data, others are doing that well-enough; and many people using Linked Data are not making that data open, but benefitting from it internally in their organisations — intranets of data.
The Open Data movement often talks about opening up the silos as a metaphor for getting data out. The idea being that the data is stored, like grain, in big silos that you can see are there but can’t get any benefit from.
Many approaches taken to Open Data, such as bulk downloads of CSV, publish a copy of the silo. Sure, you can download it and do what you want with it, but you don’t get changes without going back and downloading again.
That’s fine for a lot of situations, but for a lot more it’s not adequate. What if the data is too large for most people to consume, they want to be able to pick slices of it. What if the data is updated frequently? Linked Data can allow you live access.
Tim Berners-Lee talks about getting data onto the web using a 5-star system:
[5 stars on bullets]
Getting your data out onto the web in any format that people can consume is a good thing — do that today.
Once you’ve done that, start thinking about the star system and how you can get better at this.
If you’re consuming data, learn about this stuff and start pushing the keepers of the data you want to follow this 5-star system.
Linked Data provides the technology for 4 and 5 stars.
So what does this all have to do with Open Data?
Well, I’m not here to evangelise Open Data, others are doing that well-enough; and many people using Linked Data are not making that data open, but benefitting from it internally in their organisations — intranets of data.
The Open Data movement often talks about opening up the silos as a metaphor for getting data out. The idea being that the data is stored, like grain, in big silos that you can see are there but can’t get any benefit from.
Many approaches taken to Open Data, such as bulk downloads of CSV, publish a copy of the silo. Sure, you can download it and do what you want with it, but you don’t get changes without going back and downloading again.
That’s fine for a lot of situations, but for a lot more it’s not adequate. What if the data is too large for most people to consume, they want to be able to pick slices of it. What if the data is updated frequently? Linked Data can allow you live access.
Tim Berners-Lee talks about getting data onto the web using a 5-star system:
[5 stars on bullets]
Getting your data out onto the web in any format that people can consume is a good thing — do that today.
Once you’ve done that, start thinking about the star system and how you can get better at this.
If you’re consuming data, learn about this stuff and start pushing the keepers of the data you want to follow this 5-star system.
Linked Data provides the technology for 4 and 5 stars.
So what does this all have to do with Open Data?
Well, I’m not here to evangelise Open Data, others are doing that well-enough; and many people using Linked Data are not making that data open, but benefitting from it internally in their organisations — intranets of data.
The Open Data movement often talks about opening up the silos as a metaphor for getting data out. The idea being that the data is stored, like grain, in big silos that you can see are there but can’t get any benefit from.
Many approaches taken to Open Data, such as bulk downloads of CSV, publish a copy of the silo. Sure, you can download it and do what you want with it, but you don’t get changes without going back and downloading again.
That’s fine for a lot of situations, but for a lot more it’s not adequate. What if the data is too large for most people to consume, they want to be able to pick slices of it. What if the data is updated frequently? Linked Data can allow you live access.
Tim Berners-Lee talks about getting data onto the web using a 5-star system:
[5 stars on bullets]
Getting your data out onto the web in any format that people can consume is a good thing — do that today.
Once you’ve done that, start thinking about the star system and how you can get better at this.
If you’re consuming data, learn about this stuff and start pushing the keepers of the data you want to follow this 5-star system.
Linked Data provides the technology for 4 and 5 stars.
So what does this all have to do with Open Data?
Well, I’m not here to evangelise Open Data, others are doing that well-enough; and many people using Linked Data are not making that data open, but benefitting from it internally in their organisations — intranets of data.
The Open Data movement often talks about opening up the silos as a metaphor for getting data out. The idea being that the data is stored, like grain, in big silos that you can see are there but can’t get any benefit from.
Many approaches taken to Open Data, such as bulk downloads of CSV, publish a copy of the silo. Sure, you can download it and do what you want with it, but you don’t get changes without going back and downloading again.
That’s fine for a lot of situations, but for a lot more it’s not adequate. What if the data is too large for most people to consume, they want to be able to pick slices of it. What if the data is updated frequently? Linked Data can allow you live access.
Tim Berners-Lee talks about getting data onto the web using a 5-star system:
[5 stars on bullets]
Getting your data out onto the web in any format that people can consume is a good thing — do that today.
Once you’ve done that, start thinking about the star system and how you can get better at this.
If you’re consuming data, learn about this stuff and start pushing the keepers of the data you want to follow this 5-star system.
Linked Data provides the technology for 4 and 5 stars.
So what does this all have to do with Open Data?
Well, I’m not here to evangelise Open Data, others are doing that well-enough; and many people using Linked Data are not making that data open, but benefitting from it internally in their organisations — intranets of data.
The Open Data movement often talks about opening up the silos as a metaphor for getting data out. The idea being that the data is stored, like grain, in big silos that you can see are there but can’t get any benefit from.
Many approaches taken to Open Data, such as bulk downloads of CSV, publish a copy of the silo. Sure, you can download it and do what you want with it, but you don’t get changes without going back and downloading again.
That’s fine for a lot of situations, but for a lot more it’s not adequate. What if the data is too large for most people to consume, they want to be able to pick slices of it. What if the data is updated frequently? Linked Data can allow you live access.
Tim Berners-Lee talks about getting data onto the web using a 5-star system:
[5 stars on bullets]
Getting your data out onto the web in any format that people can consume is a good thing — do that today.
Once you’ve done that, start thinking about the star system and how you can get better at this.
If you’re consuming data, learn about this stuff and start pushing the keepers of the data you want to follow this 5-star system.
Linked Data provides the technology for 4 and 5 stars.
Who was doing web-stuff back in 1995? Lots of us were back then, explaining to companies, bosses, anyone who would listen that this new ‘web’ thing was going to be big.
But... to get on with it you had to learn (and hand-write) HTML. I remember being asked plenty of times why we needed a web server, and why we couldn’t just use Lotus AMI Pro documents... Anyone still got a copy of AMI Pro?
We needed HTML to create an open web where anyone could say anything about anything, and we need Linked Data (RDF) in the same way — it is the standard for describing things and making connections, link, between them.
The data model is old, Callimachus invented it at the Library of Alexandria, Cutter re-discovered it when he invented card catalogs for libraries in the 1850s; computer scientists re-discovered it in the late 1960s, but computers weren’t powerful enough then so Codd “optimised” the model into tables — introducing limitations we’ve all been working around for the past 40 years.
Linked Data is a more natural and open model to publishing data on the web and we’d be happy to help you get into it some more.
Who was doing web-stuff back in 1995? Lots of us were back then, explaining to companies, bosses, anyone who would listen that this new ‘web’ thing was going to be big.
But... to get on with it you had to learn (and hand-write) HTML. I remember being asked plenty of times why we needed a web server, and why we couldn’t just use Lotus AMI Pro documents... Anyone still got a copy of AMI Pro?
We needed HTML to create an open web where anyone could say anything about anything, and we need Linked Data (RDF) in the same way — it is the standard for describing things and making connections, link, between them.
The data model is old, Callimachus invented it at the Library of Alexandria, Cutter re-discovered it when he invented card catalogs for libraries in the 1850s; computer scientists re-discovered it in the late 1960s, but computers weren’t powerful enough then so Codd “optimised” the model into tables — introducing limitations we’ve all been working around for the past 40 years.
Linked Data is a more natural and open model to publishing data on the web and we’d be happy to help you get into it some more.
Who was doing web-stuff back in 1995? Lots of us were back then, explaining to companies, bosses, anyone who would listen that this new ‘web’ thing was going to be big.
But... to get on with it you had to learn (and hand-write) HTML. I remember being asked plenty of times why we needed a web server, and why we couldn’t just use Lotus AMI Pro documents... Anyone still got a copy of AMI Pro?
We needed HTML to create an open web where anyone could say anything about anything, and we need Linked Data (RDF) in the same way — it is the standard for describing things and making connections, link, between them.
The data model is old, Callimachus invented it at the Library of Alexandria, Cutter re-discovered it when he invented card catalogs for libraries in the 1850s; computer scientists re-discovered it in the late 1960s, but computers weren’t powerful enough then so Codd “optimised” the model into tables — introducing limitations we’ve all been working around for the past 40 years.
Linked Data is a more natural and open model to publishing data on the web and we’d be happy to help you get into it some more.
Who was doing web-stuff back in 1995? Lots of us were back then, explaining to companies, bosses, anyone who would listen that this new ‘web’ thing was going to be big.
But... to get on with it you had to learn (and hand-write) HTML. I remember being asked plenty of times why we needed a web server, and why we couldn’t just use Lotus AMI Pro documents... Anyone still got a copy of AMI Pro?
We needed HTML to create an open web where anyone could say anything about anything, and we need Linked Data (RDF) in the same way — it is the standard for describing things and making connections, link, between them.
The data model is old, Callimachus invented it at the Library of Alexandria, Cutter re-discovered it when he invented card catalogs for libraries in the 1850s; computer scientists re-discovered it in the late 1960s, but computers weren’t powerful enough then so Codd “optimised” the model into tables — introducing limitations we’ve all been working around for the past 40 years.
Linked Data is a more natural and open model to publishing data on the web and we’d be happy to help you get into it some more.
There is a really great community around this stuff, and lots of material online.
The focus of a lot of the material has been on publishing data this way, and the community is now really keen to help get people consuming this data.
There is a really great community around this stuff, and lots of material online.
The focus of a lot of the material has been on publishing data this way, and the community is now really keen to help get people consuming this data.
There is a really great community around this stuff, and lots of material online.
The focus of a lot of the material has been on publishing data this way, and the community is now really keen to help get people consuming this data.
There is a really great community around this stuff, and lots of material online.
The focus of a lot of the material has been on publishing data this way, and the community is now really keen to help get people consuming this data.
There is a really great community around this stuff, and lots of material online.
The focus of a lot of the material has been on publishing data this way, and the community is now really keen to help get people consuming this data.
There is a really great community around this stuff, and lots of material online.
The focus of a lot of the material has been on publishing data this way, and the community is now really keen to help get people consuming this data.
There is a really great community around this stuff, and lots of material online.
The focus of a lot of the material has been on publishing data this way, and the community is now really keen to help get people consuming this data.
There is a really great community around this stuff, and lots of material online.
The focus of a lot of the material has been on publishing data this way, and the community is now really keen to help get people consuming this data.