[{"data":1,"prerenderedAt":44},["ShallowReactive",2],{"works:detail:ibm-us-open:en":3},{"entry":4,"position":34,"total":35,"prev":36,"next":40},{"id":5,"slug":6,"name":7,"description":8,"category":9,"tags":10,"featured":13,"image":14,"body":15,"website":16,"budget":17,"images":18,"gallery":23,"client":24,"roles":26,"skills":31},52,"ibm-us-open","IBM US Open","This interactive installation transformed AI-generated match insights from IBM Watson into a visual experience for spectators at the US Open.","Client",[11,12],"Installation","Backend",false,"https:\u002F\u002Fs3.ap-northeast-1.amazonaws.com\u002Fnekohr-photo-bucket\u002Fimages\u002FNone\u002Fibm-us-open-logo.png","\u003Cp>This interactive installation transformed AI-generated match insights from IBM Watson into a visual experience for spectators at the US Open. The application presented player statistics, performance analysis, and match highlights in real time across large-format display installations, helping audiences engage more deeply with the tournament.\u003C\u002Fp>\u003Cp>Nekologic joined the project during the final stages of development to help bring the application to release quality. Our work included front-end engineering, networking and video playback improvements, bug fixing, performance optimisation, and completion of unfinished features. Particular attention was given to ensuring reliable operation across large multi-screen display configurations, including 3×3 video wall installations.\u003C\u002Fp>\u003Cp>The completed system was successfully deployed at a number of events and venues, including the renowned Arthur Ashe Stadium during the US Open.\u003C\u002Fp>","http:\u002F\u002Fwww.jahneeee.com\u002Fibm-us-open-experience","1.5 Man Months",[14,19,20,21,22],"https:\u002F\u002Fs3.ap-northeast-1.amazonaws.com\u002Fnekohr-photo-bucket\u002Finnercard\u002Fimages\u002F222_20211108040200_innercard_02.png","https:\u002F\u002Fs3.ap-northeast-1.amazonaws.com\u002Fnekohr-photo-bucket\u002Finnercard\u002Fimages\u002F223_20211108040200_innercard_03.png","https:\u002F\u002Fs3.ap-northeast-1.amazonaws.com\u002Fnekohr-photo-bucket\u002Finnercard\u002Fimages\u002F467_20211112083404_ibm_3.png","https:\u002F\u002Fs3.ap-northeast-1.amazonaws.com\u002Fnekohr-photo-bucket\u002Finnercard\u002Fimages\u002F468_20211112083415_innercard.png",[19,20,21,22],[25],"Gimbal Cube",[27,28,29,30],"Frontend Mobile Programming","Debugging","Optimisation","Frontend \u003C-> Backend Connectivity",[32,33],"Unity3D","Sockets.io",8,75,{"slug":37,"name":38,"image":39},"kanji-walker","Kanji Walker","https:\u002F\u002Fs3.ap-northeast-1.amazonaws.com\u002Fnekohr-photo-bucket\u002Fimages\u002FNone\u002FKanji_Walker_App_Icon.png",{"slug":41,"name":42,"image":43},"miyashita-park-ar","Miyashita Park AR","https:\u002F\u002Fs3.ap-northeast-1.amazonaws.com\u002Fnekohr-photo-bucket\u002Fimages\u002FNone\u002FMiyashita-Park_-AR-logo-v2.png",1787044512706]