Social Design
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Social design is the study of designing rules for social systems to achieve specific outcomes, even when individuals act in their own self-interest. It involves setting rules for social mechanisms and systems. The presentation introduces social design as a new field and discusses notable existing social mechanisms as well as new ideas for social design.
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Maester is build on San Francisco B2B Startup Weekend.
Want to use it to get new leads from mobile? Ping Yury at yury@yury.nameEarlydays: §±§Ý§Ñ§ß §á§à§ã§ä§â§à§Ö§ß§Ú§ñ §å§ã§á§Ö§ê§ß§à§Û §Ü§à§Þ§á§Ñ§ß§Ú§Ú
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§§Ö§Ü§è§Ú§ñ §á§à §á§Ý§Ñ§ß§Ú§â§à§Ó§Ñ§ß§Ú§ð §Õ§Ý§ñ §ß§Ñ§é§Ú§ß§Ñ§ð§ë§Ú§ç §á§â§Ö§Õ§á§â§Ú§ß§Ú§Þ§Ñ§ä§Ö§Ý§Ö§Û.Evolution of Two Sided Markets - Yury Lifshits - WSDM 2010
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Remote monitoring
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Siemens AG
ABB Ltd
Emerson Electric Co
Aveva Group Ltd
Schneider Electric SE
STMicroelectronics Inc
Techno Systems Inc
Semiconductor Components Industries LLC
International Business Machines Corporation (IBM)
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Earlydays: §±§Ý§Ñ§ß §á§à§ã§ä§â§à§Ö§ß§Ú§ñ §å§ã§á§Ö§ê§ß§à§Û §Ü§à§Þ§á§Ñ§ß§Ú§Ú
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2) How to gather structured data?
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Configuration
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Performance optimization
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Proactive maintenance
Predictive analytics
Remote monitoring
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ABB Ltd
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STMicroelectronics Inc
Techno Systems Inc
Semiconductor Components Industries LLC
International Business Machines Corporation (IBM)
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In demand skills needed to strategically position yourself to stay ahead
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MIND Revenue Release Quarter 4 2024 - Finacial PresentationDAO UTokyo 2025 DLT mass adoption case studies IBM Tsuyoshi Hirayama (ƽɽÒã)
DAO UTokyo 2025 DLT mass adoption case studies IBM Tsuyoshi Hirayama (ƽɽÒã)Tsuyoshi Hirayama
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DAO UTokyo 2025
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https://utbciii.com/2024/12/12/announcing-dao-utokyo-2025-conference/
Session 1 :DLT mass adoption
IBM Tsuyoshi Hirayama (ƽɽÒã)Cloud of everything Tech of the 21 century in Aviation
Cloud of everything Tech of the 21 century in AviationAssem mousa
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AI, Block chain, Digital Currency, Cloud, Cloud of Things, Tactile Internet, Digital Twins, IOT, AR, VR, MR, U commerce, data and robotics."
TrustArc Webinar - Building your DPIA/PIA Program: Best Practices & Tips
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Understanding DPIA/PIAs and how to implement them can be the key to embedding privacy in the heart of your organization as well as achieving compliance with multiple data protection / privacy laws, such as GDPR and CCPA. Indeed, the GDPR mandates Privacy by Design and requires documented Data Protection Impact Assessments (DPIAs) for high risk processing and the EU AI Act requires an assessment of fundamental rights.
How can you build this into a sustainable program across your business? What are the similarities and differences between PIAs and DPIAs? What are the best practices for integrating PIAs/DPIAs into your data privacy processes?
Whether you're refining your compliance framework or looking to enhance your PIA/DPIA execution, this session will provide actionable insights and strategies to ensure your organization meets the highest standards of data protection.
Join our panel of privacy experts as we explore:
- DPIA & PIA best practices
- Key regulatory requirements for conducting PIAs and DPIAs
- How to identify and mitigate data privacy risks through comprehensive assessments
- Strategies for ensuring documentation and compliance are robust and defensible
- Real-world case studies that highlight common pitfalls and practical solutionsL01 Introduction to Nanoindentation - What is hardness
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Introduction to Nanoindentation
Unlock AI Creativity: Image Generation with DALL¡¤E
Unlock AI Creativity: Image Generation with DALL¡¤EExpeed Software
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Discover the power of AI image generation with DALL¡¤E, an advanced AI model that transforms text prompts into stunning, high-quality visuals. This presentation explores how artificial intelligence is revolutionizing digital creativity, from graphic design to content creation and marketing. Learn about the technology behind DALL¡¤E, its real-world applications, and how businesses can leverage AI-generated art for innovation. Whether you're a designer, developer, or marketer, this guide will help you unlock new creative possibilities with AI-driven image synthesis.A Framework for Model-Driven Digital Twin Engineering
A Framework for Model-Driven Digital Twin EngineeringDaniel Lehner
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ºÝºÝߣs from my PhD Defense at Johannes Kepler University, held on Janurary 10, 2025.
The full thesis is available here: https://epub.jku.at/urn/urn:nbn:at:at-ubl:1-83896