{"id":"https://openalex.org/W7202270784","doi":"https://doi.org/10.1109/icadeis71120.2026.11644550","title":"Agentic AI for Data Quality: Probabilistic Pivot for Data Quality Management","display_name":"Agentic AI for Data Quality: Probabilistic Pivot for Data Quality Management","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7202270784","doi":"https://doi.org/10.1109/icadeis71120.2026.11644550"},"language":"en","primary_location":{"id":"doi:10.1109/icadeis71120.2026.11644550","doi":"https://doi.org/10.1109/icadeis71120.2026.11644550","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icadeis71120.2026.11644550","pdf_url":null,"source":{"id":"https://openalex.org/S7407086561","display_name":"International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/icadeis71120.2026.11644550","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138483117","display_name":"Prakash Upadhyay","orcid":"https://orcid.org/0009-0003-3501-1850","observed_orcids":["https://orcid.org/0009-0003-3501-1850","https://orcid.org/0009-0005-7717-7079"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prakash Upadhyay","raw_affiliation_strings":["Cloud Native Technologies & Enterprise AI Brookfield"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cloud Native Technologies & Enterprise AI Brookfield","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134091969","display_name":"Mahendra Rajwade","orcid":"https://orcid.org/0009-0004-3172-3460","observed_orcids":["https://orcid.org/0009-0004-3172-3460"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahendra Rajwade","raw_affiliation_strings":["AI Techhonology Leader & Independent Researcher"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Techhonology Leader & Independent Researcher","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143863379","display_name":"Nitinkumar Leuva","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"NitinKumar Leuva","raw_affiliation_strings":["Independent Researcher in AI Aurora"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher in AI Aurora","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122987062","display_name":"Sambit Dhar","orcid":"https://orcid.org/0009-0001-3694-5589","observed_orcids":["https://orcid.org/0009-0001-3694-5589"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sambit Dhar","raw_affiliation_strings":["Independent Researcher LittleRock"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher LittleRock","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040848733","display_name":"Derek Palecek","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Derek Palecek","raw_affiliation_strings":["Cloud Native Technologies & Enterprise AI Brookfield"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cloud Native Technologies & Enterprise AI Brookfield","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":1.0,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.0,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.0,"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/agentic-ai","display_name":"agentic AI","score":0.9490000009536743},{"id":"https://openalex.org/keywords/data-quality-management","display_name":"data quality management","score":0.9959999918937683},{"id":"https://openalex.org/keywords/data-validation","display_name":"data validation","score":0.7360000014305115},{"id":"https://openalex.org/keywords/agent-cooperation","display_name":"agent cooperation","score":0.7459999918937683},{"id":"https://openalex.org/keywords/reflection","display_name":"reflection","score":0.36000001430511475},{"id":"https://openalex.org/keywords/tool-use","display_name":"tool use","score":0.9700000286102295},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"human-in-the-loop","score":0.7620000243186951},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.9269999861717224},{"id":"https://openalex.org/keywords/schema-drift","display_name":"schema drift","score":0.7730000019073486},{"id":"https://openalex.org/keywords/insurance-data","display_name":"insurance data","score":0.7289999723434448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238999962806702},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5242000222206116},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5146999955177307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.448199987411499},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3970000147819519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3465000092983246},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C71405471","wikidata":"https://www.wikidata.org/wiki/Q757012","display_name":"Quality management","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2768999934196472}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icadeis71120.2026.11644550","doi":"https://doi.org/10.1109/icadeis71120.2026.11644550","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icadeis71120.2026.11644550","pdf_url":null,"source":{"id":"https://openalex.org/S7407086561","display_name":"International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icadeis71120.2026.11644550","doi":"https://doi.org/10.1109/icadeis71120.2026.11644550","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icadeis71120.2026.11644550","pdf_url":null,"source":{"id":"https://openalex.org/S7407086561","display_name":"International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2782837275","https://openalex.org/W4385059984","https://openalex.org/W4401387895","https://openalex.org/W4402835391","https://openalex.org/W4404410989","https://openalex.org/W4409724330","https://openalex.org/W4409916974","https://openalex.org/W4414173605","https://openalex.org/W4415795271","https://openalex.org/W4415800750","https://openalex.org/W4416209823","https://openalex.org/W7133214447","https://openalex.org/W7133222210","https://openalex.org/W7133236450"],"related_works":["https://openalex.org/W7169800608","https://openalex.org/W7203945053","https://openalex.org/W7114782458","https://openalex.org/W2990370202","https://openalex.org/W4413079650","https://openalex.org/W7221614894","https://openalex.org/W7213425405","https://openalex.org/W7018284652","https://openalex.org/W2284509177","https://openalex.org/W7221111090"],"abstract_inverted_index":{"Poor":[0],"data":[1,45,74,129],"quality":[2,75,121],"imposes":[3],"substantial":[4],"and":[5,56,85,116,126,136,150],"measurable":[6],"costs":[7],"across":[8],"industries:":[9],"organizations":[10],"lose":[11],"an":[12],"estimated":[13],"${\\$}$12.9":[14],"million":[15],"annually":[16],"to":[17,73],"data-driven":[18],"decision":[19],"failures,":[20,47],"while":[21],"the":[22,41],"U.S.":[23],"economy":[24],"sustains":[25],"aggregate":[26],"losses":[27],"exceeding":[28],"${\\$}$3.1":[29],"trillion":[30],"per":[31],"year.":[32],"Although":[33],"rule-based":[34,156],"validation":[35,92],"systems":[36],"have":[37],"long":[38],"served":[39],"as":[40],"primary":[42],"defense":[43],"against":[44],"integrity":[46],"they":[48],"are":[49],"inherently":[50],"static,":[51],"brittle":[52],"under":[53],"schema":[54],"drift,":[55],"incapable":[57],"of":[58],"detecting":[59],"previously":[60],"unseen":[61],"anomaly":[62,148],"patterns.":[63],"This":[64],"paper":[65],"proposes":[66],"a":[67,89,101,106,111,117],"conceptual":[68],"framework":[69,95],"applying":[70],"Agentic":[71],"AI":[72],"management,":[76],"synthesizing":[77],"three":[78],"established":[79],"design":[80],"patterns:":[81],"Reflection,":[82],"Tool":[83],"Use,":[84],"Multi-Agent":[86],"Collaboration":[87],"into":[88],"unified":[90],"five-phase":[91],"pipeline.":[93],"The":[94],"introduces":[96],"four":[97],"novel":[98],"governance":[99,153],"mechanisms:":[100],"memory":[102],"fast-path":[103],"routing":[104],"layer,":[105],"bidirectional":[107],"Rejection":[108],"Memory":[109],"store,":[110],"mandatory":[112],"human-in-the-loop":[113],"escalation":[114],"pathway,":[115],"24-hour":[118],"rolling":[119],"source":[120],"monitor":[122],"that":[123],"autonomously":[124],"flags":[125],"suspends":[127],"compromised":[128],"sources.":[130],"Two":[131],"industry":[132],"scenarios":[133],"-":[134],"insurance":[135],"EdTech:":[137],"illustrate":[138],"practical":[139],"application.":[140],"Conceptual":[141],"evaluation":[142],"demonstrates":[143],"theoretical":[144],"advantages":[145],"in":[146],"adaptability,":[147],"detection,":[149],"proactive":[151],"source-level":[152],"over":[154],"legacy":[155],"approaches.":[157]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-13T00:00:00"}
