[{"data":1,"prerenderedAt":747},["ShallowReactive",2],{"$fOISGiitMbvLV7RW6RCPPcyslDTyvuSg7D3yzsO4VMZM":3,"$faMDzyDLf9fCRHth-ocn8poGojEfKbzkdOKxOaO0uYek":180},{"_createdAt":4,"_id":5,"_rev":6,"_system":7,"_type":5,"_updatedAt":10,"events":11,"isDraft":59},"2023-05-03T21:37:34Z","marketingMenu","uzeXgSDFKulPoPsr5BQquX",{"base":8},{"id":5,"rev":9},"R791bQM5pDxrgszZMdyKZY","2026-08-31T14:08:15Z",[12,101],{"_createdAt":13,"_id":14,"_rev":15,"_system":16,"_type":19,"_updatedAt":20,"actionLink":21,"actionText":22,"categories":23,"description":37,"endDateTime":38,"eventType":39,"isAllDay":40,"mainImage":41,"menuHeadline":96,"previewImage":97,"startDateTime":99,"title":100},"2024-03-29T19:58:59Z","d2f517a0-504f-4270-953e-5004c5cd18ac","c5VSj2bRGe7sLzsdjmxYgH",{"base":17},{"id":14,"rev":18},"1M5G74w851CzvOgp77tZmW","event","2026-07-23T16:20:04Z","https://www.moresteam.com/simcamp","Sign Up To Join Us",[24,28,31,34],{"_key":25,"_ref":26,"_type":27},"465135113500","ae5f7b26-5cf6-4063-89f4-8ddde0b16d59","reference",{"_key":29,"_ref":30,"_type":27},"02872cecbe12","3c1b8644-eb6f-4358-bdbc-168e2dc4f2ef",{"_key":32,"_ref":33,"_type":27},"afc32d7770f0","934786a9-dfff-4c87-b5cb-1ac4c6663d55",{"_key":35,"_ref":36,"_type":27},"1e7f83103835","d7dacdec-1bf8-4d8c-9e9a-1da29c06a904","Attend MoreSteam SimCamp, a Lean Six Sigma simulations workshop for Master Black Belts and trainers. ","2026-10-22T16:30:00.000Z","Event",true,{"_type":42,"asset":43},"image",{"_createdAt":44,"_id":45,"_rev":46,"_type":47,"_updatedAt":48,"altText":49,"assetId":50,"creditLine":49,"description":49,"extension":51,"metadata":52,"mimeType":85,"opt":86,"originalFilename":91,"path":92,"sha1hash":50,"size":93,"title":49,"uploadId":94,"url":95},"2026-03-31T13:47:21Z","image-7f0b139674c45352e2523647b76d9208e32b303a-185x185-webp","pmnyVwLoY8tQUTz1trFe8C","sanity.imageAsset","2026-03-31T13:47:37Z",null,"7f0b139674c45352e2523647b76d9208e32b303a","webp",{"_type":53,"blurHash":54,"dimensions":55,"hasAlpha":59,"isOpaque":40,"lqip":60,"palette":61},"sanity.imageMetadata","e6ED,#?70Y0Fq}E:tKMA97Vy3V$e{fES5?{{XRCNw[viH$NeKK-h=s",{"_type":56,"aspectRatio":57,"height":58,"width":58},"sanity.imageDimensions",1,185,false,"data:image/jpeg;base64,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",{"_type":62,"darkMuted":63,"darkVibrant":68,"dominant":71,"lightMuted":74,"lightVibrant":78,"muted":81,"vibrant":82},"sanity.imagePalette",{"_type":64,"background":65,"foreground":66,"population":67,"title":66},"sanity.imagePaletteSwatch","#3a6c67","#fff",2.13,{"_type":64,"background":69,"foreground":66,"population":70,"title":66},"#6f6624",1.11,{"_type":64,"background":72,"foreground":66,"population":73,"title":66},"#6c9c64",28.98,{"_type":64,"background":75,"foreground":76,"population":77,"title":66},"#c9c081","#000",0.04,{"_type":64,"background":79,"foreground":76,"population":80,"title":76},"#e6e34b",0.78,{"_type":64,"background":72,"foreground":66,"population":73,"title":66},{"_type":64,"background":83,"foreground":76,"population":84,"title":66},"#e8982b",5.2,"image/webp",{"media":87},{"tags":88},[89],{"_ref":90,"_type":27,"_weak":40},"nJuznou76jLovZ8FxF1LP4","SimCamp-Fall-2023-185x185.webp","images/oq9f4n1v/production/7f0b139674c45352e2523647b76d9208e32b303a-185x185.webp",30716,"KeV0AciGUIUqB7xuTxekfiZAO5lAycqu","https://cdn.sanity.io/images/oq9f4n1v/production/7f0b139674c45352e2523647b76d9208e32b303a-185x185.webp","SimCamp | Oct 19-22",{"_type":42,"asset":98},{"_ref":45,"_type":27},"2026-10-19T16:00:00.000Z","Learn to Facilitate MoreSteam's Lean and DMAIC Training Simulations",{"_createdAt":102,"_id":103,"_rev":104,"_system":105,"_type":19,"_updatedAt":108,"actionLink":109,"actionText":110,"categories":111,"description":127,"endDateTime":128,"eventType":129,"isAllDay":59,"mainImage":130,"menuHeadline":175,"previewImage":176,"startDateTime":178,"title":179},"2023-04-18T17:53:24Z","153c7767-0777-4f79-bd9f-18652961581d","2g4bph6Gfgl2d2h9ia2QRs",{"base":106},{"id":103,"rev":107},"xacQZuBTbvuqeQ4wPnGHQ7","2026-07-23T16:18:06Z","https://www.moresteam.com/master-series/root-cause-analysis-fundamentals","Register Today",[112,115,118,121,124],{"_key":113,"_ref":114,"_type":27},"710322f2d349","8baf9cfe-0648-49e2-9579-5ff557dffca3",{"_key":116,"_ref":117,"_type":27},"22490c7e79a1","46ca6f5f-3433-4903-a8fe-de4973aa81ef",{"_key":119,"_ref":120,"_type":27},"6162d4b0121b","66950479-1495-42dc-af63-c0884ab6b066",{"_key":122,"_ref":123,"_type":27},"95aa7cdf3879","344b1c41-1e60-49c9-935a-a94b73f21261",{"_key":125,"_ref":126,"_type":27},"7afe42f6e988","f5c4add3-807e-411f-9483-677d5f9ab745","Most problems are symptoms of deeper system conditions. Learn practical root cause analysis with Peg Pennington and learn to uncover the causes behind recurring issues.","2026-10-20T16:00:00.000Z","Master Series",{"_type":42,"asset":131},{"_createdAt":132,"_id":133,"_rev":134,"_type":47,"_updatedAt":135,"altText":136,"assetId":137,"creditLine":49,"description":49,"extension":138,"metadata":139,"mimeType":164,"opt":165,"originalFilename":170,"path":171,"sha1hash":137,"size":172,"title":49,"uploadId":173,"url":174},"2026-04-17T15:00:04Z","image-29850b02c405fe4dfbd37b75f17d8dc06a9b8a97-386x386-png","n54XUON695cO06xFcbMffR","2026-04-17T15:01:09Z","Introduction to Root Cause Analysis Master Series Badge","29850b02c405fe4dfbd37b75f17d8dc06a9b8a97","png",{"_type":53,"blurHash":140,"dimensions":141,"hasAlpha":40,"isOpaque":59,"lqip":143,"palette":144},"eKHLe^xa00RkIURQayt7kBRj00R*~pt5%2%MofRQV[tQWTjYn+bING",{"_type":56,"aspectRatio":57,"height":142,"width":142},386,"data:image/png;base64,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",{"_type":62,"darkMuted":145,"darkVibrant":148,"dominant":151,"lightMuted":154,"lightVibrant":157,"muted":160,"vibrant":161},{"_type":64,"background":146,"foreground":66,"population":147,"title":66},"#262b4b",2.88,{"_type":64,"background":149,"foreground":66,"population":150,"title":66},"#04153f",0.17,{"_type":64,"background":152,"foreground":66,"population":153,"title":66},"#99649d",3.9,{"_type":64,"background":155,"foreground":76,"population":156,"title":66},"#b0b8ca",0.52,{"_type":64,"background":158,"foreground":76,"population":159,"title":66},"#d5c1a4",0.11,{"_type":64,"background":152,"foreground":66,"population":153,"title":66},{"_type":64,"background":162,"foreground":76,"population":163,"title":66},"#f5a553",0.43,"image/png",{"media":166},{"tags":167},[168],{"_ref":169,"_type":27,"_weak":40},"rnXCKoKrhbfNHMO1JWyxBh","2026-MasterSeries-RCA-Badge.png","images/oq9f4n1v/production/29850b02c405fe4dfbd37b75f17d8dc06a9b8a97-386x386.png",41782,"ypppdg5gJ2Qy9aFm9YDPap0ggnHliUSk","https://cdn.sanity.io/images/oq9f4n1v/production/29850b02c405fe4dfbd37b75f17d8dc06a9b8a97-386x386.png","Fundamentals of RCA | Oct 13th & 20th",{"_type":42,"asset":177},{"_ref":133,"_type":27},"2026-10-13T15:00:00.000Z","Earn a Certificate in Root Cause Analysis",{"actionText":181,"airDate":182,"authors":183,"blockAd":247,"body":328,"categories":49,"isDraft":59,"isMultipartWebinar":49,"isWebinarFull":59,"mainImage":407,"page":447,"presentationContent":49,"publishDate":494,"relatedContent":495,"transcript":49,"video":690,"webcastLink":746},"Sign Up Now","2023-04-11T17:00:00.000Z",[184],{"_createdAt":185,"_id":186,"_rev":187,"_type":188,"_updatedAt":189,"bio":190,"company":202,"employeeRef":49,"image":203,"linkedIn":49,"name":209,"title":246},"2023-03-06T19:19:40Z","5f8b71f9-50da-4b8a-8d5d-6d402b4bdaf0","XwwkMu8B8bd2jFtuwya3Y6","author","2023-03-08T20:33:46Z",[191],{"_key":192,"_type":193,"children":194,"markDefs":200,"style":201},"7538af0d5e07","block",[195],{"_key":196,"_type":197,"marks":198,"text":199},"b55ac4f5b1f60","span",[],"Professor Woodard joined the University of Notre Dame in 2017 as the inaugural director of its new online M.S.-ACMS Data Science graduate program. Woodard came to Notre Dame after 14 years at North Carolina State University. At NCSU, Woodard was a teaching professor in the Department of Statistics and, since 2013, director of online programs in the Department of Statistics. Woodard has won numerous teaching awards, including the N.C. State Outstanding Teacher Award, the American Statistical Association's 2005 Waller Education Award for excellence and innovation in teaching, and was named an N.C. State Alumni Distinguished Undergraduate Professor. Roger Woodard earned a Ph.D. in statistics from the University of Missouri. When not in the classroom, he is an avid traveler and enjoys building furniture.",[],"normal","University of Notre Dame",{"_type":42,"asset":204},{"_createdAt":205,"_id":206,"_rev":207,"_type":47,"_updatedAt":208,"altText":209,"assetId":210,"description":49,"extension":51,"metadata":211,"mimeType":85,"opt":235,"originalFilename":241,"path":242,"sha1hash":210,"size":243,"title":209,"uploadId":244,"url":245},"2023-03-06T19:19:08Z","image-7872839989b938c8ee59972f9666bfb69884f50a-300x300-webp","0xYk3i0i3IUqN42euRJdQV","2025-01-17T22:18:17Z","Roger Woodard","7872839989b938c8ee59972f9666bfb69884f50a",{"_type":53,"blurHash":212,"dimensions":213,"hasAlpha":40,"isOpaque":59,"lqip":215,"palette":216},"eGHxQdoz0zxuZ$~VWBIpt6IU0Ls:HrM{%MSwoeoeofof4oWCM|WAS5",{"_type":56,"aspectRatio":57,"height":214,"width":214},300,"data:image/png;base64,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",{"_type":62,"darkMuted":217,"darkVibrant":220,"dominant":223,"lightMuted":226,"lightVibrant":229,"muted":230,"vibrant":233},{"_type":64,"background":218,"foreground":66,"population":219,"title":66},"#445c6c",0,{"_type":64,"background":221,"foreground":66,"population":222,"title":66},"#6f3519",2.18,{"_type":64,"background":224,"foreground":76,"population":225,"title":66},"#e1bfaf",3.16,{"_type":64,"background":227,"foreground":76,"population":228,"title":76},"#ccd4ac",0.01,{"_type":64,"background":224,"foreground":76,"population":225,"title":66},{"_type":64,"background":231,"foreground":66,"population":232,"title":66},"#6fa45b",0.02,{"_type":64,"background":234,"foreground":66,"population":228,"title":66},"#d26240",{"media":236},{"tags":237},[238],{"_key":239,"_ref":240,"_type":27,"_weak":40},"BB_vJ-OyzUaN96neEMt4G","lQ0y5s0sFlKY4sC8XHeY6B","Roger-Author-Round.webp","images/oq9f4n1v/production/7872839989b938c8ee59972f9666bfb69884f50a-300x300.webp",95786,"uJTedliBHLWUP8BHXaZieERamDRBueE0","https://cdn.sanity.io/images/oq9f4n1v/production/7872839989b938c8ee59972f9666bfb69884f50a-300x300.webp","Academic Director, Data Science Online Master's Program",{"_id":248,"isDefault":59,"isDraft":59,"linkUrl":249,"primaryImage":250,"secondaryImage":291,"title":49},"fb074875-607a-4918-994d-0d276c051521","https://www.moresteam.com/morenews",{"asset":251},{"_createdAt":252,"_id":253,"_rev":207,"_type":47,"_updatedAt":208,"assetId":254,"extension":138,"metadata":255,"mimeType":164,"opt":281,"originalFilename":286,"path":287,"sha1hash":254,"size":288,"uploadId":289,"url":290},"2023-04-04T15:02:37Z","image-3da851e5e6422af1c84ab1f5d2b6acaaf9259114-501x561-png","3da851e5e6422af1c84ab1f5d2b6acaaf9259114",{"_type":53,"blurHash":256,"dimensions":257,"hasAlpha":59,"isOpaque":40,"lqip":261,"palette":262},"eEIXq1.4%w-NVtE-}#M]%FxV02Ip+[XSk;^$0=pHM|IuXDsS1+NMvz",{"_type":56,"aspectRatio":258,"height":259,"width":260},0.893048128342246,561,501,"data:image/png;base64,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",{"_type":62,"darkMuted":263,"darkVibrant":266,"dominant":268,"lightMuted":271,"lightVibrant":274,"muted":277,"vibrant":280},{"_type":64,"background":264,"foreground":66,"population":265,"title":66},"#2b3d62",1.73,{"_type":64,"background":267,"foreground":66,"population":219,"title":66},"#04247c",{"_type":64,"background":269,"foreground":76,"population":270,"title":66},"#eba32d",9.49,{"_type":64,"background":272,"foreground":76,"population":273,"title":66},"#bac2cb",1.62,{"_type":64,"background":275,"foreground":76,"population":276,"title":66},"#ec737e",3.77,{"_type":64,"background":278,"foreground":66,"population":279,"title":66},"#5661a3",0.44,{"_type":64,"background":269,"foreground":76,"population":270,"title":66},{"media":282},{"tags":283},[284],{"_key":285,"_ref":240,"_type":27,"_weak":40},"FYh28YXcs2MBc_nh9KAlp","Newsletter-Block-ad_Blue.png","images/oq9f4n1v/production/3da851e5e6422af1c84ab1f5d2b6acaaf9259114-501x561.png",51966,"T31ZUp54B8ewV7zH9QSMS4ABUvwmojl1","https://cdn.sanity.io/images/oq9f4n1v/production/3da851e5e6422af1c84ab1f5d2b6acaaf9259114-501x561.png",{"asset":292},{"_createdAt":293,"_id":294,"_rev":207,"_type":47,"_updatedAt":208,"assetId":295,"extension":138,"metadata":296,"mimeType":164,"opt":318,"originalFilename":323,"path":324,"sha1hash":295,"size":325,"uploadId":326,"url":327},"2023-04-04T15:02:39Z","image-4d6571c1d5cdda57354828426d02fe9735e20602-501x561-png","4d6571c1d5cdda57354828426d02fe9735e20602",{"_type":53,"blurHash":297,"dimensions":298,"hasAlpha":59,"isOpaque":40,"lqip":299,"palette":300},"eEJ*JJ.59=-NR601}#?W%Gxo0DIpQmXSb^-N0=%zM|IuSmsS6CNMvz",{"_type":56,"aspectRatio":258,"height":259,"width":260},"data:image/png;base64,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",{"_type":62,"darkMuted":301,"darkVibrant":304,"dominant":307,"lightMuted":309,"lightVibrant":312,"muted":315,"vibrant":317},{"_type":64,"background":302,"foreground":66,"population":303,"title":66},"#695f37",0.96,{"_type":64,"background":305,"foreground":66,"population":306,"title":66},"#0f3c82",0.05,{"_type":64,"background":269,"foreground":76,"population":308,"title":66},9.42,{"_type":64,"background":310,"foreground":76,"population":311,"title":66},"#c7c3ba",1.43,{"_type":64,"background":313,"foreground":76,"population":314,"title":66},"#eec179",2.1,{"_type":64,"background":316,"foreground":66,"population":228,"title":66},"#645ca4",{"_type":64,"background":269,"foreground":76,"population":308,"title":66},{"media":319},{"tags":320},[321],{"_key":322,"_ref":240,"_type":27,"_weak":40},"5zIAImWp9RjM3RfsQjs2M","Newsletter-Block-ad-hover_Blue.png","images/oq9f4n1v/production/4d6571c1d5cdda57354828426d02fe9735e20602-501x561.png",51983,"H0jmrxasc3Aqt36ZGxDJ6PSUXm59bPkT","https://cdn.sanity.io/images/oq9f4n1v/production/4d6571c1d5cdda57354828426d02fe9735e20602-501x561.png",[329,337,345,353,361,369,382,391,399],{"_key":330,"_type":193,"asset":49,"children":331,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":336,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":201},"a11f08d6c146",[332],{"_key":333,"_type":197,"marks":334,"text":335},"8e9f402373500",[],"Classification and regression trees are a popular and effective machine learning algorithm used to interpret data and ultimately aid in making informed predictions based on that data. It's a valuable addition to your toolkit, as it helps identify patterns, understand root cause, and comprehend both categorical and continuous outputs. As one of the most essential machine learning tools, mastering the basics of a Classification and Regression tree is highly beneficial to your process improvement and data analysis initiatives.",[],{"_key":338,"_type":193,"asset":49,"children":339,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":344,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":201},"f9e430be5011",[340],{"_key":341,"_type":197,"marks":342,"text":343},"2f6bb15e70810",[],"But what are the ins and outs of Classification and Regression Trees?",[],{"_key":346,"_type":193,"asset":49,"children":347,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":352,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":201},"2ada1ffbf6cb",[348],{"_key":349,"_type":197,"marks":350,"text":351},"6ea1003897ec0",[],"When would I use it?",[],{"_key":354,"_type":193,"asset":49,"children":355,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":360,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":201},"ac6ea5a18006",[356],{"_key":357,"_type":197,"marks":358,"text":359},"bd369e7bb2a20",[],"Why is it useful to me?",[],{"_key":362,"_type":193,"asset":49,"children":363,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":368,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":201},"35f2d027cfc3",[364],{"_key":365,"_type":197,"marks":366,"text":367},"1d4e6865da910",[],"This free, hour-long webcast session will answer your questions and provide real-world application examples.",[],{"_key":370,"_type":193,"asset":49,"children":371,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"markDefs":381,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":201},"ddbf6a73faa2",[372,377],{"_key":373,"_type":197,"marks":374,"text":376},"65f436a158af0",[375],"strong","In this session, we will:",{"_key":378,"_type":197,"marks":379,"text":380},"65f436a158af1",[],"\n",[],{"_key":383,"_type":193,"asset":49,"children":384,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":389,"markDefs":390,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":201},"295bfc05b4a8",[385],{"_key":386,"_type":197,"marks":387,"text":388},"51184d1046bc0",[],"Provide an introduction to Classification and Regression Trees","bullet",[],{"_key":392,"_type":193,"asset":49,"children":393,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":389,"markDefs":398,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":201},"df375d26e9b6",[394],{"_key":395,"_type":197,"marks":396,"text":397},"161992de0ba20",[],"Explore when to use one application over the other",[],{"_key":400,"_type":193,"asset":49,"children":401,"image":49,"internalButtonPath":49,"internalImageLinkPath":49,"keyTakeaways":49,"level":57,"listItem":389,"markDefs":406,"muxVideo":49,"placeholderURL":49,"posterImage":49,"style":201},"3c944eb445e9",[402],{"_key":403,"_type":197,"marks":404,"text":405},"162127da6af90",[],"Describe the advantages and disadvantages of C/RT against other data analysis techniques",[],{"asset":408},{"_createdAt":409,"_id":410,"_rev":207,"_type":47,"_updatedAt":208,"altText":411,"assetId":412,"description":49,"extension":51,"metadata":413,"mimeType":85,"opt":437,"originalFilename":442,"path":443,"sha1hash":412,"size":444,"title":411,"uploadId":445,"url":446},"2023-03-06T19:16:57Z","image-46752af01efb91988976f2c63d4935caec79def3-2134x400-webp","Classification and Regression Trees Explained","46752af01efb91988976f2c63d4935caec79def3",{"_type":53,"blurHash":414,"dimensions":415,"hasAlpha":59,"isOpaque":40,"lqip":419,"palette":420},"4EK-nj}A00T000",{"_type":56,"aspectRatio":416,"height":417,"width":418},5.335,400,2134,"data:image/jpeg;base64,/9j/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCAAEABQDASIAAhEBAxEB/8QAFgABAQEAAAAAAAAAAAAAAAAAAAcF/8QAHhAAAQMFAQEAAAAAAAAAAAAAAwABAgQFERIxBiH/xAAXAQADAQAAAAAAAAAAAAAAAAABAgQF/8QAGhEAAgIDAAAAAAAAAAAAAAAAAAECMgQSIf/aAAwDAQACEQMRAD8AoXjBjFbpYHB/vXZbU9JBJuIcu9ZEV7swZViWXOhp51pJONsu6Ii0B4ylqun/2Q==",{"_type":62,"darkMuted":421,"darkVibrant":423,"dominant":426,"lightMuted":429,"lightVibrant":430,"muted":432,"vibrant":435},{"_type":64,"background":422,"foreground":66,"population":232,"title":66},"#744484",{"_type":64,"background":424,"foreground":66,"population":425,"title":66},"#7c3b86",0.26,{"_type":64,"background":427,"foreground":76,"population":428,"title":66},"#bfaece",7.51,{"_type":64,"background":427,"foreground":76,"population":428,"title":66},{"_type":64,"background":431,"foreground":76,"population":228,"title":66},"#a4ccf4",{"_type":64,"background":433,"foreground":66,"population":434,"title":66},"#805998",5.95,{"_type":64,"background":436,"foreground":76,"population":159,"title":66},"#84b5da",{"media":438},{"tags":439},[440],{"_key":441,"_ref":240,"_type":27,"_weak":40},"NSlQP7QWUFTf5iFf1GK-X","Webcast-Apr2023_Header-Desktop.webp","images/oq9f4n1v/production/46752af01efb91988976f2c63d4935caec79def3-2134x400.webp",151818,"NiOY6NbdlQ5J9VYXe2vDC8QzNQRNfwkr","https://cdn.sanity.io/images/oq9f4n1v/production/46752af01efb91988976f2c63d4935caec79def3-2134x400.webp",{"description":448,"primaryHeading":411,"seo":449,"title":411},"Free webcast exploring Classification and Regression Trees, a popular and effective machine learning algorithm used to help interpret extensive datasets",{"_type":450,"keywords":451,"metaDescription":448,"metaImage":452,"metaTitle":411,"robotsShouldFollow":40,"robotsShouldIndex":40},"seo","Machine Learning",{"_type":42,"asset":453},{"_createdAt":454,"_id":455,"_rev":207,"_type":47,"_updatedAt":208,"altText":456,"assetId":457,"description":458,"extension":51,"metadata":459,"mimeType":85,"opt":484,"originalFilename":489,"path":490,"sha1hash":457,"size":491,"title":456,"uploadId":492,"url":493},"2023-03-15T14:32:17Z","image-474ed77ae4a40b6bce82a18107c4d2a6e2c769a4-598x383-webp","CRT graphic","474ed77ae4a40b6bce82a18107c4d2a6e2c769a4","Null",{"_type":53,"blurHash":460,"dimensions":461,"hasAlpha":59,"isOpaque":40,"lqip":465,"palette":466},"VFIhdu}?HXb0R%EdJAZhi{baS~ofjGofofxuofafoKkB",{"_type":56,"aspectRatio":462,"height":463,"width":464},1.5613577023498695,383,598,"data:image/jpeg;base64,/9j/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCAANABQDASIAAhEBAxEB/8QAGAAAAwEBAAAAAAAAAAAAAAAAAAMFBgf/xAAeEAACAgICAwAAAAAAAAAAAAABAgARAwQFEgYhYf/EABYBAQEBAAAAAAAAAAAAAAAAAAEEBf/EABoRAQACAwEAAAAAAAAAAAAAAAEAAgQREhP/2gAMAwEAAhEDEQA/ANL47hyISzgiVOWZsuMqbqo9EVVPUV6iN2+lE3Narthk0G3pOfb2gcmyzXV/IS1shRmYVCVcRMtDU//Z",{"_type":62,"darkMuted":467,"darkVibrant":469,"dominant":471,"lightMuted":474,"lightVibrant":477,"muted":480,"vibrant":483},{"_type":64,"background":468,"foreground":66,"population":219,"title":66},"#2f3e69",{"_type":64,"background":470,"foreground":66,"population":219,"title":66},"#29365b",{"_type":64,"background":472,"foreground":66,"population":473,"title":66},"#8193c6",5.62,{"_type":64,"background":475,"foreground":76,"population":476,"title":66},"#acaed1",5.55,{"_type":64,"background":478,"foreground":76,"population":479,"title":66},"#9dc6dd",4.06,{"_type":64,"background":481,"foreground":66,"population":482,"title":66},"#835a98",4.73,{"_type":64,"background":472,"foreground":66,"population":473,"title":66},{"media":485},{"tags":486},[487],{"_key":488,"_ref":240,"_type":27,"_weak":40},"SRX1p4_9QSspNLNJmGpIH","Webcast-Apr2023_Feature.webp","images/oq9f4n1v/production/474ed77ae4a40b6bce82a18107c4d2a6e2c769a4-598x383.webp",67256,"jpdnkqzGx8Xaeyxth5rrf3l9KCVaiT8l","https://cdn.sanity.io/images/oq9f4n1v/production/474ed77ae4a40b6bce82a18107c4d2a6e2c769a4-598x383.webp","2023-03-06",[496,571,631],{"_type":497,"mainImage":498,"page":547,"publishDate":570},"webcast",{"_type":42,"asset":499},{"_createdAt":500,"_id":501,"_rev":502,"_type":47,"_updatedAt":503,"altText":504,"assetId":505,"description":506,"extension":507,"metadata":508,"mimeType":535,"opt":536,"originalFilename":542,"path":543,"sha1hash":505,"size":544,"title":506,"uploadId":545,"url":546},"2023-02-16T00:13:19Z","image-8a1a5dfc6d14e986758644c5cf1b79a13d087904-1366x320-jpg","1qpyHfEBM7XXdCA1c38GP9","2025-01-20T21:07:27Z","Big Data Bigger Opportunities","8a1a5dfc6d14e986758644c5cf1b79a13d087904","null","jpg",{"_type":53,"blurHash":509,"dimensions":510,"hasAlpha":59,"isOpaque":40,"lqip":514,"palette":515},"DlG+L3EOxuIUW?~qoexuIUay",{"_type":56,"aspectRatio":511,"height":512,"width":513},4.26875,320,1366,"data:image/jpeg;base64,/9j/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCAAFABQDASIAAhEBAxEB/8QAFgABAQEAAAAAAAAAAAAAAAAAAAYF/8QAHhAAAQQCAwEAAAAAAAAAAAAAAgABAwQFEQYHEjH/xAAVAQEBAAAAAAAAAAAAAAAAAAAEBf/EABoRAQADAAMAAAAAAAAAAAAAAAEAAgQRITH/2gAMAwEAAhEDEQA/AIap2JyXGwBBXyUrxfPJPvSomzd+ZgtTWJJCOuZkJPtnfyiJ22oVUIbKvITexXaPIauKpxBMDi0Q623xERS07lOvk//Z",{"_type":62,"darkMuted":516,"darkVibrant":519,"dominant":522,"lightMuted":523,"lightVibrant":526,"muted":529,"vibrant":532},{"_type":64,"background":517,"foreground":66,"population":518,"title":66},"#5b4234",1.19,{"_type":64,"background":520,"foreground":66,"population":521,"title":66},"#1a3967",6.6,{"_type":64,"background":520,"foreground":66,"population":521,"title":66},{"_type":64,"background":524,"foreground":76,"population":525,"title":66},"#bfb7b4",2.46,{"_type":64,"background":527,"foreground":76,"population":528,"title":76},"#eccdaf",2.72,{"_type":64,"background":530,"foreground":66,"population":531,"title":66},"#8d6952",3.05,{"_type":64,"background":533,"foreground":66,"population":534,"title":66},"#b76140",0.07,"image/jpeg",{"media":537},{"tags":538},[539],{"_key":540,"_ref":541,"_type":27,"_weak":40},"ZXRK8DVNxobOwtzQjqVG9","nJuznou76jLovZ8FxEzGdu","WoodardND_1366.jpg","images/oq9f4n1v/production/8a1a5dfc6d14e986758644c5cf1b79a13d087904-1366x320.jpg",345121,"bRuBQhXnv30Sj07nVJzIKACKpF8bceLL","https://cdn.sanity.io/images/oq9f4n1v/production/8a1a5dfc6d14e986758644c5cf1b79a13d087904-1366x320.jpg",{"description":548,"fullSlug":549,"internalRoute":552,"primaryHeading":553,"routePrefix":554,"searchIndices":555,"seo":562,"slug":568,"title":553},"Roger Woodard will present an overview of how AI, Machine Learning, and Deep Learning can be used for Enterprise Process Improvement.",{"_type":550,"current":551},"slug","resources/webcasts/big-data-bigger-opportunities",{"_type":550,"current":551},"Big Data, Bigger Opportunities for Operational Excellence","resources/webcasts/",[556,559],{"_key":557,"_ref":558,"_type":27},"244f65de55e7","5169f84b-11b1-4c37-ab97-97f0d1d38a3b",{"_key":560,"_ref":561,"_type":27},"244f65de55e8","28d7b6a0-8d49-4c62-a1bf-dba60784ca91",{"_type":450,"keywords":563,"metaDescription":548,"metaImage":564,"robotsShouldFollow":40,"robotsShouldIndex":40,"type":567},"Data Science, Process Improvement, Continuous Improvement",{"_type":42,"asset":565},{"_ref":566,"_type":27},"image-1312d4312748adb472ee4c353c39d70f5297a621-1200x628-jpg","article",{"_type":550,"current":569},"big-data-bigger-opportunities","2020-03-04",{"_type":497,"mainImage":572,"page":613,"publishDate":630},{"_type":42,"asset":573},{"_createdAt":574,"_id":575,"_rev":576,"_type":47,"_updatedAt":577,"altText":578,"assetId":579,"description":506,"extension":51,"metadata":580,"mimeType":85,"opt":603,"originalFilename":608,"path":609,"sha1hash":579,"size":610,"title":506,"uploadId":611,"url":612},"2023-02-07T16:37:07Z","image-42c404fcfe706275e06b8da12b9c91c7f8623e6b-2134x400-webp","oxr7c2cNx130SUaPXmPjds","2025-02-05T16:35:59Z","Machine Learning to Improve Lean Six Sigma Training efficacy","42c404fcfe706275e06b8da12b9c91c7f8623e6b",{"_type":53,"blurHash":581,"dimensions":582,"hasAlpha":59,"isOpaque":40,"lqip":583,"palette":584},"459a:a_Ko}.AWX",{"_type":56,"aspectRatio":416,"height":417,"width":418},"data:image/jpeg;base64,/9j/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCAAEABQDASIAAhEBAxEB/8QAFwABAAMAAAAAAAAAAAAAAAAAAAQFBv/EABoQAAMBAQEBAAAAAAAAAAAAAAABAgMEUXH/xAAWAQEBAQAAAAAAAAAAAAAAAAAEAwX/xAAZEQACAwEAAAAAAAAAAAAAAAAAAQMREjH/2gAMAwEAAhEDEQA/AMv39N1lnVqab9RArs0iE4Ur4gDRj6DaWbKzTr1dtugAIJn/2Q==",{"_type":62,"darkMuted":585,"darkVibrant":588,"dominant":591,"lightMuted":592,"lightVibrant":595,"muted":597,"vibrant":600},{"_type":64,"background":586,"foreground":66,"population":587,"title":66},"#34496a",6.25,{"_type":64,"background":589,"foreground":66,"population":590,"title":66},"#1a617a",0.59,{"_type":64,"background":586,"foreground":66,"population":587,"title":66},{"_type":64,"background":593,"foreground":76,"population":594,"title":66},"#94a6c5",0.28,{"_type":64,"background":596,"foreground":76,"population":219,"title":66},"#9ad3df",{"_type":64,"background":598,"foreground":66,"population":599,"title":66},"#617da4",0.54,{"_type":64,"background":601,"foreground":66,"population":602,"title":66},"#2b7888",0.15,{"media":604},{"tags":605},[606],{"_key":607,"_ref":240,"_type":27,"_weak":40},"Im-APVwX0v6K7al0-JN71","Webcast-MachineLearningLSS-NickXander-Jan2023.webp","images/oq9f4n1v/production/42c404fcfe706275e06b8da12b9c91c7f8623e6b-2134x400.webp",141970,"1UkCnx0jKiUI0pcGCqeoSH2Se8s7ZCp1","https://cdn.sanity.io/images/oq9f4n1v/production/42c404fcfe706275e06b8da12b9c91c7f8623e6b-2134x400.webp",{"description":614,"internalRoute":615,"primaryHeading":617,"routePrefix":554,"searchIndices":618,"seo":621,"slug":627,"title":629},"We drew inspiration from machine learning, applying various machine learning algorithms to tease out which inputs ('features') of training best predict learner success. Join us as we explore our findings and discuss the levers you can pull to increase training effectiveness.",{"_type":550,"current":616},"resources/webcasts/machine-learning-improve-training","Machine Learning to Improve Lean Six Sigma Training Efficacy",[619,620],{"_key":557,"_ref":558,"_type":27},{"_key":560,"_ref":561,"_type":27},{"_type":450,"keywords":622,"metaDescription":623,"metaImage":624,"robotsShouldFollow":40,"robotsShouldIndex":40,"type":567},"Machine Learning, Lean Six Sigma, Lean Six Sigma Training, DMAIC, Lean, Six Sigma","This webinar explores the application of various machine learning algorithms to tease out which features of training best predict learner success.",{"_type":42,"asset":625},{"_ref":626,"_type":27},"image-0d7a586e16811d6076dc4e3ff72f0bac2b95eeda-1201x628-png",{"_type":550,"current":628},"machine-learning-improve-training","Machine Learning to Improve Lean Six Sigma Training","2023-01-22",{"_type":632,"mainImage":633,"page":674,"publishDate":689},"caseStudy",{"_type":42,"asset":634},{"_createdAt":635,"_id":636,"_rev":637,"_type":47,"_updatedAt":638,"altText":639,"assetId":640,"description":49,"extension":507,"metadata":641,"mimeType":535,"opt":663,"originalFilename":669,"path":670,"sha1hash":640,"size":671,"title":506,"uploadId":672,"url":673},"2023-02-15T22:54:24Z","image-1afb5abe08cce79a2e2bfbb3c81243ff7235ace6-1366x400-jpg","3owlkF8xsgBW8f7IEpNMUe","2025-01-22T15:22:24Z","Meet EngineRoom","1afb5abe08cce79a2e2bfbb3c81243ff7235ace6",{"_type":53,"blurHash":642,"dimensions":643,"hasAlpha":59,"isOpaque":40,"lqip":645,"palette":646},"DERW0d~pD$x^E1~qRkIoj]kC",{"_type":56,"aspectRatio":644,"height":417,"width":513},3.415,"data:image/jpeg;base64,/9j/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCAAGABQDASIAAhEBAxEB/8QAFwABAAMAAAAAAAAAAAAAAAAAAAQFCP/EAB4QAAMBAAICAwAAAAAAAAAAAAECAwAREgQhIlFh/8QAFQEBAQAAAAAAAAAAAAAAAAAAAAH/xAAWEQEBAQAAAAAAAAAAAAAAAAAAARL/2gAMAwEAAhEDEQA/ANNJOhRlnTh/R7Ec6PSlvkasrBfoZmsSqXyOlKlmQE/uZmGY/9k=",{"_type":62,"darkMuted":647,"darkVibrant":649,"dominant":651,"lightMuted":654,"lightVibrant":657,"muted":659,"vibrant":660},{"_type":64,"background":648,"foreground":66,"population":219,"title":66},"#744f24",{"_type":64,"background":650,"foreground":66,"population":219,"title":66},"#644420",{"_type":64,"background":652,"foreground":66,"population":653,"title":66},"#466b89",1.84,{"_type":64,"background":655,"foreground":76,"population":656,"title":66},"#c8d096",0.68,{"_type":64,"background":658,"foreground":76,"population":602,"title":76},"#e4e7fc",{"_type":64,"background":652,"foreground":66,"population":653,"title":66},{"_type":64,"background":661,"foreground":76,"population":662,"title":66},"#c78f4f",0.57,{"media":664},{"tags":665},[666],{"_key":667,"_ref":668,"_type":27,"_weak":40},"2SUd3BoB21KKY4zNLPT4U","RlGgyhBENWq0DTEtkjuzgZ","ER-interview_1366x400.jpg","images/oq9f4n1v/production/1afb5abe08cce79a2e2bfbb3c81243ff7235ace6-1366x400.jpg",140142,"fA9LU4FQlONbBGHacI4oKgIRs7XRN0z8","https://cdn.sanity.io/images/oq9f4n1v/production/1afb5abe08cce79a2e2bfbb3c81243ff7235ace6-1366x400.jpg",{"description":675,"internalRoute":676,"primaryHeading":678,"searchIndices":679,"seo":682,"title":688},"Innovative Lean Six Sigma data analysis software from MoreSteam combines graphical, statistical, and modeling tools for completing your Lean Six Sigma projects.",{"_type":550,"current":677},"resources/case-studies/engineroom-karina-interview","Software Created to Help Your Organization Continue Moving Forward",[680,681],{"_key":557,"_ref":558,"_type":27},{"_key":560,"_ref":561,"_type":27},{"_type":450,"keywords":683,"metaDescription":684,"metaImage":685,"robotsShouldFollow":40,"robotsShouldIndex":40,"type":567},"Statistical Software, EngineRoom, Problem Solving Tools, Data Analysis Software, Project Management Software, Process Modelling Software, Process Improvement, Continuous Improvement","Innovative Lean Six Sigma data analysis software combines graphical, statistical, and modeling tools for completing your Lean Six Sigma projects.",{"_type":42,"asset":686},{"_ref":687,"_type":27},"image-75a85e90b083ca52050a51652d952150fc87e168-1200x628-png","Software to Help Your Organization Continue Moving Forward","2021-03-01",{"_type":691,"fileType":692,"muxVideo":693,"posterImage":702,"sourceUrl":745,"textTrack":49},"video","mux.video",{"_createdAt":694,"_id":695,"_rev":696,"_type":697,"_updatedAt":698,"playbackId":699,"title":700,"video":701},"2024-05-13T13:24:52Z","8a419578-bcf9-48db-baf7-4324e95b2376","mv24KqDhFSt7gfOr00jKoY","videoFile","2024-05-21T20:19:29Z","UihbBF02xvKVkc2GK2T15kX8w1Gkcjtq34JC1RwuxaUM","Webinar - Classification and Regression ",{"playbackId":699,"title":49},{"_type":42,"asset":703},{"_createdAt":704,"_id":705,"_rev":706,"_type":47,"_updatedAt":707,"altText":708,"assetId":709,"description":506,"extension":138,"metadata":710,"mimeType":164,"opt":733,"originalFilename":740,"path":741,"sha1hash":709,"size":742,"title":506,"uploadId":743,"url":744},"2023-02-16T00:12:21Z","image-20cee926674adb842c32794ddadc8674698f6f0e-1920x1080-png","nJuznou76jLovZ8FxKxwUy","2025-01-20T21:30:12Z","Moresteam Poster","20cee926674adb842c32794ddadc8674698f6f0e",{"_type":53,"blurHash":711,"dimensions":712,"hasAlpha":59,"isOpaque":40,"lqip":716,"palette":717},"MBAAj_xu00IU-;x^t9RkWAxt00Rj~qxuIU",{"_type":56,"aspectRatio":713,"height":714,"width":715},1.7777777777777777,1080,1920,"data:image/png;base64,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",{"_type":62,"darkMuted":718,"darkVibrant":721,"dominant":723,"lightMuted":724,"lightVibrant":726,"muted":728,"vibrant":731},{"_type":64,"background":719,"foreground":66,"population":720,"title":66},"#313856",8.1,{"_type":64,"background":722,"foreground":66,"population":219,"title":66},"#142454",{"_type":64,"background":719,"foreground":66,"population":720,"title":66},{"_type":64,"background":725,"foreground":66,"population":306,"title":66},"#7782af",{"_type":64,"background":727,"foreground":76,"population":219,"title":66},"#a1add7",{"_type":64,"background":729,"foreground":66,"population":730,"title":66},"#606c97",2.43,{"_type":64,"background":732,"foreground":66,"population":228,"title":66},"#34447c",{"media":734},{"tags":735},[736,738],{"_ref":737,"_type":27,"_weak":40},"Oer5e2DezxTuShP7Rhm2Iq",{"_ref":739,"_type":27,"_weak":40},"1l2WvRaG7ipy1hzGrwB8vp","whoismoresteam-poster.png","images/oq9f4n1v/production/20cee926674adb842c32794ddadc8674698f6f0e-1920x1080.png",2140394,"ZNWP0cVq4QxGpMkQnuRPe5XjTXMlEMsi","https://cdn.sanity.io/images/oq9f4n1v/production/20cee926674adb842c32794ddadc8674698f6f0e-1920x1080.png","https://moresteammedia-usct.streaming.media.azure.net/6480f677-5239-46ef-a524-70576adadbcf/Classification_And_Regression_Tr.ism/manifest(format=mpd-time-cmaf)","https://moresteam.zoom.us/webinar/register/WN_P-u8O0EaS4KwDD-gXc5nDg",1788293786345]