{"id":"https://openalex.org/W7148628337","doi":"https://doi.org/10.58532/nbennurmoml9","title":"CASE STUDIES IN MACHINE LEARNING DEPLOYMENT","display_name":"CASE STUDIES IN MACHINE LEARNING DEPLOYMENT","publication_year":2026,"publication_date":"2026-02-01","ids":{"openalex":"https://openalex.org/W7148628337","doi":"https://doi.org/10.58532/nbennurmoml9"},"language":"en","primary_location":{"id":"doi:10.58532/nbennurmoml9","doi":"https://doi.org/10.58532/nbennurmoml9","is_oa":false,"landing_page_url":"https://doi.org/10.58532/nbennurmoml9","pdf_url":null,"source":{"id":"https://openalex.org/S7407089365","display_name":"Iterative International Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IIP Series","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W7148626838","display_name":"Mastering of Machine Learning: From Theory to Deployment"},"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132805472","display_name":"Pragya Shrivastava","orcid":"https://orcid.org/0009-0005-5792-6677","observed_orcids":["https://orcid.org/0009-0005-5792-6677"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pragya Shrivastava","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5132805472"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.3190999925136566,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.3190999925136566,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.15870000422000885,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.13379999995231628,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning-deployment","display_name":"machine learning deployment","score":0.996999979019165},{"id":"https://openalex.org/keywords/model-serving","display_name":"model serving","score":0.5450000166893005},{"id":"https://openalex.org/keywords/model-monitoring","display_name":"model monitoring","score":0.6539999842643738},{"id":"https://openalex.org/keywords/model-drift","display_name":"model drift","score":0.875},{"id":"https://openalex.org/keywords/model-versioning","display_name":"model versioning","score":0.5730000138282776},{"id":"https://openalex.org/keywords/containerization","display_name":"containerization","score":0.7149999737739563},{"id":"https://openalex.org/keywords/ci-cd-pipelines","display_name":"CI/CD pipelines","score":0.9700000286102295},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.8190000057220459},{"id":"https://openalex.org/keywords/cloud-deployment","display_name":"cloud deployment","score":0.6980000138282776},{"id":"https://openalex.org/keywords/api-integration","display_name":"API integration","score":0.7160000205039978},{"id":"https://openalex.org/keywords/scalability","display_name":"scalability","score":0.5389999747276306},{"id":"https://openalex.org/keywords/latency-optimization","display_name":"latency optimization","score":0.9850000143051147},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.9520000219345093},{"id":"https://openalex.org/keywords/security-computing","display_name":"security (computing)","score":0.5540000200271606},{"id":"https://openalex.org/keywords/regulatory-compliance","display_name":"regulatory compliance","score":0.9950000047683716},{"id":"https://openalex.org/keywords/healthcare-diagnostics","display_name":"healthcare diagnostics","score":0.6850000023841858},{"id":"https://openalex.org/keywords/financial-fraud-detection","display_name":"financial fraud detection","score":0.984000027179718},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.9919999837875366},{"id":"https://openalex.org/keywords/intelligent-transportation-systems","display_name":"intelligent transportation systems","score":0.9860000014305115},{"id":"https://openalex.org/keywords/smart-cities","display_name":"smart cities","score":0.9359999895095825},{"id":"https://openalex.org/keywords/model-retraining","display_name":"model retraining","score":0.6899999976158142},{"id":"https://openalex.org/keywords/machine-learning-in-production","display_name":"machine learning in production","score":0.32199999690055847}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.8603000044822693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6220999956130981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6150000095367432},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6026999950408936},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.5716999769210815},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.388700008392334},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.31200000643730164},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.29179999232292175},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2709999978542328},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.26170000433921814},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.58532/nbennurmoml9","doi":"https://doi.org/10.58532/nbennurmoml9","is_oa":false,"landing_page_url":"https://doi.org/10.58532/nbennurmoml9","pdf_url":null,"source":{"id":"https://openalex.org/S7407089365","display_name":"Iterative International Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IIP Series","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3104128335","https://openalex.org/W7148627553","https://openalex.org/W6893026756","https://openalex.org/W4404886877","https://openalex.org/W3111512732","https://openalex.org/W7151309355","https://openalex.org/W7150839418","https://openalex.org/W7125026724","https://openalex.org/W7202368631","https://openalex.org/W4391039392"],"abstract_inverted_index":{"Case":[0],"Studies":[1],"in":[2,129,187,247],"Machine":[3],"Learning":[4],"Deployment,":[5],"presents":[6],"a":[7],"comprehensive":[8],"exploration":[9],"of":[10],"how":[11],"machine":[12,72,223,244],"learning":[13,73,224,245],"models":[14,25],"transition":[15],"from":[16],"theoretical":[17],"development":[18,53],"to":[19,182,237],"real-world":[20,59,203],"implementation.":[21,156],"While":[22],"building":[23],"accurate":[24],"is":[26,106,180],"essential,":[27],"successful":[28],"deployment":[29,60,83,91,118],"requires":[30],"addressing":[31],"practical":[32,150],"challenges":[33,151],"such":[34,93,131,158],"as":[35,94,132,159],"data":[36,78,169],"integration,":[37],"scalability,":[38],"model":[39,52,80,123,160,196],"monitoring,":[40],"performance":[41,185],"optimization,":[42,168],"and":[43,54,85,102,110,122,143,152,172,190,194,213,221,231,241,249],"ethical":[44,222],"considerations.":[45],"This":[46],"chapter":[47,66,148,227],"bridges":[48],"the":[49,70,147,234],"gap":[50],"between":[51],"production-level":[55],"systems":[56,246],"by":[57,68],"examining":[58,201],"scenarios":[61],"across":[62],"diverse":[63],"domains.":[64],"The":[65,226],"begins":[67],"outlining":[69],"end-to-end":[71],"lifecycle,":[74],"including":[75],"problem":[76],"identification,":[77],"preprocessing,":[79],"training,":[81],"validation,":[82],"strategies,":[84],"post-deployment":[86],"monitoring.":[87],"It":[88],"highlights":[89],"key":[90],"architectures":[92],"on-premise":[95],"systems,":[96,139,142],"cloud-based":[97],"platforms,":[98],"edge":[99],"computing":[100],"environments,":[101,189],"API-based":[103],"integrations.":[104],"Emphasis":[105],"placed":[107],"on":[108],"tools":[109],"frameworks":[111],"commonly":[112],"used":[113],"for":[114,192,217],"deployment,":[115],"continuous":[116],"integration/continuous":[117],"(CI/CD)":[119],"pipelines,":[120],"containerization,":[121],"versioning.":[124],"Through":[125],"detailed":[126],"case":[127],"studies":[128],"areas":[130],"healthcare":[133],"diagnostics,":[134],"financial":[135],"fraud":[136],"detection,":[137],"recommendation":[138],"intelligent":[140],"transportation":[141],"smart":[144],"city":[145],"applications,":[146],"illustrates":[149],"solutions":[153],"encountered":[154],"during":[155],"Topics":[157],"drift,":[161],"scalability":[162],"under":[163],"high":[164],"user":[165],"demand,":[166],"latency":[167],"privacy,":[170],"security,":[171],"regulatory":[173],"compliance":[174],"are":[175],"critically":[176],"analyzed.":[177],"Special":[178],"attention":[179],"given":[181],"monitoring":[183],"techniques,":[184],"metrics":[186],"production":[188],"strategies":[191],"retraining":[193],"maintaining":[195],"reliability":[197],"over":[198],"time.":[199],"By":[200],"these":[202],"examples,":[204],"readers":[205],"gain":[206],"insight":[207],"into":[208],"best":[209],"practices,":[210],"common":[211],"pitfalls,":[212],"strategic":[214],"considerations":[215],"necessary":[216],"deploying":[218],"robust,":[219],"scalable,":[220],"solutions.":[225],"equips":[228],"learners,":[229],"researchers,":[230],"practitioners":[232],"with":[233],"knowledge":[235],"required":[236],"move":[238],"beyond":[239],"experimentation":[240],"successfully":[242],"operationalize":[243],"dynamic":[248],"complex":[250],"environments.":[251]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-04-03T00:00:00"}