cambridgeservicealliance.org Report : Visit Site


  • Server:Zope/(2.13.27, pytho...

    The main IP address: 88.208.252.9,Your server United Kingdom,Gloucester ISP:Fast Hosts Ltd  TLD:org CountryCode:GB

    The description :the cambridge service alliance - a unique global alliance between leading businesses and universities. it brings together the world's leading firms and academics, all of whom are devoted to delivering...

    This report updates in 15-Jun-2018

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Latitude: 51.86568069458
Longitude: -2.2430999279022
Country: United Kingdom (GB)
City: Gloucester
Region: England
ISP: Fast Hosts Ltd

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skip to primary navigation skip to content study at cambridge about the university research at cambridge search site home study at cambridge undergraduate courses applying events and open days fees and finance student blogs and videos graduate why cambridge course directory how to apply fees and funding frequently asked questions international students continuing education executive and professional education courses in education about the university how the university and colleges work history visiting the university term dates and calendars map for media video and audio find an expert publications global cambridge news events public engagement jobs give to cambridge research at cambridge give to cambridge for staff for current students for alumni for business colleges & departments libraries & facilities museums & collections email & phone search log in home developing new understanding and approaches to complex service systems department a-z home about us about us overview what we do partners our team our team overview staff phd students academic advisory board visitors work with us connect with us business business overview research collaborations consulting tools and frameworks potential partners community of interest meetings in 2018 2018 service alliance brochure_final research research overview making the shift to services data and analytics for services data and analytics for services overview moments of truth in services: ai-neuro-marketing perspective customer experience management using data analytics cognitive computing to enhance services service consumer's exeperience analytics ddbmmatrix.png 2014septwebinarimage.png ecosystems value mapping and analysis business models for complex services business models for complex services overview urban ecosystems service business model capability assessment innovation in energy services: new business models for electric vehicles data-driven business models designing deploying and enhancing services service and support engineering service performance and information phd research phd research overview effects of social capital on risks taken by suppliers in outcome-based contracts service co-creation in living labs - 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conference 2015 industry day conference - creating customer value - industry day conference 2015 service week 2015 service week speaker service week 2014 service week 2013 service week 2012 service week 2011 service week 2010 sander contact us june 2018 newsletter welcome to the video - introduction to the video explaining the watch webinar - high quality prediction intervals for deep learning in this june 2018 webinar tim pearce discusses high-quality prediction intervals for deep learning watch latest executive briefing remind yourself what value b2b relationships bring to the table. remember to fight tough but also to chill out with your b2b partners. these b2b partnerships need to be designed to bring value to all involved. read video - what is the future of servitization many manufacturing firms are choosing to adopt or partly introduce a service-based model to create new and longer-term revenue streams. but how will servitization evolve in the future and how will it affect businesses and consumers? andy neely, head of the , explains what servitization is and what opportunities it will create for manufacturers in the future. watch latest alliance newsletter the alliance produces regular email newsletter updates of activities, research and events. here you can view current and previous editions of the newsletter. read video - how can big data create value? a new video on big data by dr mohamed zaki, watch podcast - deputy director and the csa podcast interview with dr mohamed zaki, following his appointment as deputy director of the listen upcoming events shift to services executive education programme nov 07, 2018 ifm, cambridge, uk ecosystems strategy one day course nov 15, 2018 ifm, cambridge upcoming events blog read the latest blogs from the read more welcome to the … a unique global alliance between leading businesses and universities; bringing together the world's leading firms and academics; all of whom are devoted to delivering today the tools, education and insights needed for the complex service solutions of tomorrow. members of the include bae systems, caterpillar, ibm and the university of cambridge. follow us on twitter tweets by @camservalliance latest news webinar - high-quality prediction intervals for deep learning jun 11, 2018 11 june 2018 - high-quality prediction intervals for deep learning: a distribution-free, ensembled approach - by tim pearce, mohamed zaki, alexandra brintrup, andy neely theme update - blockchains in smart services jun 06, 2018 in may, veronica and her team worked very hard on the first practical phase of the project – the codification of the blockchain prototype for the cat/perkins’ supply chain. project update - omms: the wireless micro-factory that will treat people with cancer jun 06, 2018 the omms micro-factory project lead by dr veronica martinez made a great progress this month. june 2018 newsletter jun 04, 2018 find out what the have been doing and how you can get involved. rare-events classification: an approach based on genetic algorithm and voronoi tessellation may 31, 2018 by abdul rauf khan, mohamed zaki, henrik schiøler, and murat kulahci. the paper was accepted at 'the 22nd pacific-asia conference on knowledge discovery and data mining (pakdd)', a leading international conference in the areas of knowledge discovery and data mining (kdd). in this paper, mohamed and co-authors propose a novel strategy for data mining based on partitioning of the feature space through voronoi tessellation and genetic algorithm, where the latter is applied to solve a combinatorial optimization problem. view all news contact us information provided by: [email protected] site privacy & cookie policies top links © 2017 university of cambridge university a-z contact the university accessibility freedom of information terms and conditions study at cambridge undergraduate graduate international students continuing education executive and profes

URL analysis for cambridgeservicealliance.org


https://cambridgeservicealliance.eng.cam.ac.uk/serviceweek/serviceweek2017/aug_6097.jpg/view
https://cambridgeservicealliance.eng.cam.ac.uk/news/2018junenewsletter
https://cambridgeservicealliance.eng.cam.ac.uk/research/dataandanalyticsforservices/consumerexperienceanalytics
https://cambridgeservicealliance.eng.cam.ac.uk/serviceweek/serviceweek2017/2017industrydayflyerwithprogramme.pdf/view
https://cambridgeservicealliance.eng.cam.ac.uk/serviceweek/serviceweek2016/imageoftranscriptfullx200.png/view
https://cambridgeservicealliance.eng.cam.ac.uk/serviceweek/serviceweek2016/transcriptoffulllengthcompilationpodcast.pdf/view
https://cambridgeservicealliance.eng.cam.ac.uk/news/aggregator/rss
https://cambridgeservicealliance.eng.cam.ac.uk/resources/videos
https://cambridgeservicealliance.eng.cam.ac.uk/about/directory/phdstudents
https://cambridgeservicealliance.eng.cam.ac.uk/research/dataandanalyticsforservices/dataanalytics
https://cambridgeservicealliance.eng.cam.ac.uk/research/glossary
https://cambridgeservicealliance.eng.cam.ac.uk/serviceweek/serviceweek2017/copy_of_sean_thales_csaindustrydaypresentationfinal.pdf/view
https://cambridgeservicealliance.eng.cam.ac.uk/resources
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https://cambridgeservicealliance.eng.cam.ac.uk/serviceweek/serviceweek2017/masterposterbooklet.pdf/view
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Whois Information


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WHOIS LIMIT EXCEEDED - SEE WWW.PIR.ORG/WHOIS FOR DETAILS

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  REGISTRAR Public Interest Registry

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