john pearce #cyber & #technology #news

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john pearce #cyber & #technology #news

john pearce #cyber & #technology #news

@techpearce

#cyber & #technology #news @techpearce2 @techpearce3 @techpearce4 @JohnNews2u @johnpearcenews5 #blochchain & #cryptocurrency #updates

Manchester, England Katılım Mayıs 2017
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Dinis Guarda
Dinis Guarda@dinisguarda·
#smartcities framework elements The roots of the #smartcity concept can be traced back to 1970, when the first urban #bigdata project, titled "Cluster Analysis of Los Angeles," laid the groundwork for data-driven urban planning. Since then, the idea has evolved and gained momentum, with architects, city strategists, political leaders, and tech CEOs recognising the immense potential of smart cities. British architect #NormanFoster has been a vocal advocate for smart cities, stating, "The future of the city is not about buildings, it's about the spaces between them and the life that goes on in those spaces. The smart city is one that uses technology to enhance the quality of life for its citizens, to improve the efficiency of its services, and to create a more sustainable environment." Despite the lack of one universally accepted definition of a smart city, both institutional and academic global researchers and policymakers still use the term Smart City that partly was coined by @IBM and @Cisco in 2007. The term "Smart City" became popular in the late 2000s, particularly as major technology companies like IBM and Cisco launched initiatives to integrate information and communication technologies (#ICT) into urban infrastructure, effectively making cities more interconnected and efficient. These initiatives were part of broader strategies to address urban challenges such as #sustainability, #governance, and service delivery through #technology. my #research #infographic integrating #4IR #AI #IoT #DigitalTwins #Blockchain #Metaverse with @ztudium teams #smartcitiesdna @metaverseabc @blocksdna @citiesabc_ CC @dilippungliya @YuHelenYu @AkwyZ @arlenenewbigg @EliseQuevedo @efipm @enricomolinari @kuriharan @jblefevre60 @thomaspower @enilev @Khulood_Almani @SpirosMargaris @mvollmer1 @Xbond49 @antgrasso @EstelaMandela @sallyeaves @alvinfoo @UrsBolt @albertogaruccio @BetaMoroney @globaliqx @psb_dc @Shi4Tech @FrRonconi @thinkers360 @Ronald_vanLoon @ipfconline1 #tech #digitaltransformation #AI #fintech #AR #VR #MR #web3.0 #innovation #entrepreneur
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Technology and Businesses
Technology and Businesses@TechnoNBusiness·
Boosting memory involves regular mental exercises, a healthy diet rich in omega-3s, adequate sleep, stress management, and staying physically active to enhance cognitive function and recall. #PersonalGrowth #Strategy #Motivation
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Mike Flache
Mike Flache@mikeflache·
Implementing artificial intelligence projects with smart prompts? 🤔 Too good to be true, right? Bringing AI projects to life can be a complex and challenging task. Innovation teams must have certain characteristics and skills to contribute to the success of AI projects. I have summarized five factors from a management perspective: 1️⃣ Clear understanding of the problem Before starting an AI project, ensure that innovation teams have a clear understanding of the problem they are solving and how AI can help solve that problem. That requires a deep understanding of the project's business goals and requirements. 2️⃣ Ethical considerations AI projects can have significant social and ethical impacts. Ensure innovation teams are aware of the ethical considerations surrounding AI so that their projects adhere to ethical standards. That includes considerations such as fairness, accountability, and transparency. 3️⃣ Integration with existing systems AI projects should be designed so that they can be seamlessly integrated into existing systems and processes. That requires collaboration with IT teams and other stakeholders to ensure the project is aligned with the company's overall technology strategy. 4️⃣ User-centered design AI projects are ideally designed with the end user in mind. Ensure innovation teams understand user needs and design solutions that are user-friendly, intuitive, and effective. 5️⃣ Continuous learning AI is a rapidly evolving field. Design the framework so that innovation teams should be committed to continuous learning and development. That requires staying up-to-date with the latest trends and advances in AI and constantly exploring new opportunities for innovation. Last but not least, be open to these factors yourself and lead by example. By considering these factors, innovation teams can increase their chances of success in implementing AI projects with optimal value creation. Do you see any additional factors? --- If this resonates, repost to share with others ♻️. And follow @mikeflache for more. #ArtificialIntelligence #AI #DigitalTransformation Cc @pchamard @enilev @Khulood_Almani @antgrasso @GlenGilmore @Shi4Tech @CurieuxExplorer @FrRonconi @chidambara09 @theomitsa @PawlowskiMario @labordeolivier @Analytics_699 @RosyCoaching @AlbertoEMachado @drsharwood @Nicochan33 @FGraillot @nafisalam @efipm @KanezaDiane @smaksked @Corix_JC @pierrecappelli @segundoatdell @amalmerzouk @stratorob @CyrilCoste @EstelaMandela @sonu_monika @RLDI_Lamy @SpirosMargaris @JagersbergKnut @IanLJones98 @AkwyZ @jeancayeux @Timothy_Hughes @FinMKTG @ipfconline1 @baski_LA @avrohomg @helene_wpli @sallyeaves @bimedotcom @HaroldSinnott @c4trends @mvollmer1 @BetaMoroney
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