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Presentation made on esIoT 2013. The reduction of energy waste in any of its forms and everywhere is a major challenge of our society. An important proportion of such waste is due to the misuse of consumer appliances of shared use in public areas computers, printers, coffee makers, etc.). To face this issue, we have transformed everyday consumer devices into collaborative Ecoaware everyday things. The presented work contributes with a first approach to reduce the learning time of Eco-aware objects to perform accurate predictions. The general idea is to enable a platform where Eco-aware appliances interchange their collected usage pattern in a cooperative manner to reduce energy wasting in order to alleviate the cold-start problem for new coming Eco-aware appliances. To this end, we have simulated a collaboration between two of these appliances, leading to an energy reduction regarding non-collaborative objects.

Saving Energy Through Collaborative Eco-aware Everyday Things

Juan López de Armentia

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Presentation made on esIoT 2012. This paper provides an overview of how Internet-connected objects can lead to a social change towards energy-efficiency in areas where people inhabit (cities, buildings or homes). For this aim it is proposed the use of social networks, like Twitter, as an interaction and communication channel between smart objects and human beings. The presented work demonstrates, by means of an experiment, how an augmented everyday object, i.e. a capsule-based coffee machine, may help to reduce the unnecessary consumed energy in electric appliances. The paper opens the discussion of the promising potential of combining people and future smart everyday objects teaming up to promote a more sustainable behaviour on the planet’s behalf.

Fighting against Vampire Appliances through Eco-aware Things

Juan López de Armentia

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Kementerian Pelajaran Malaysia

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Saving Energy Through Collaborative Eco-aware Everyday Things

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Marco de colaboración entre dispositivos inteligentes para la reducción de su...

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

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Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

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Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

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Tech Trends Report 2024 Future Today Institute.pdf

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wesley chun

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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The 7 Things I Know About Cyber Security After 25 Years | April 2024

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