{"id":14896,"date":"2026-06-18T09:04:53","date_gmt":"2026-06-18T16:04:53","guid":{"rendered":"https:\/\/www.hmc.edu\/clinic\/2026\/explainable-and-actionable-conversational-clustering\/"},"modified":"2026-06-18T09:04:53","modified_gmt":"2026-06-18T16:04:53","slug":"explainable-and-actionable-conversational-clustering","status":"publish","type":"post","link":"https:\/\/www.hmc.edu\/clinic\/2026\/explainable-and-actionable-conversational-clustering\/","title":{"rendered":"Explainable and Actionable Conversational Clustering"},"content":{"rendered":"<h2 class=\"project-sponsor-dept-year\"><span class=\"project-sponsor\">ServiceNow<\/span> <span class=\"project-dept-year\">Computer Science\/Mathematics, 2025\u201326<\/span><\/h2>\n<div class=\"project-team\">\n<p><strong>Liaison(s):<\/strong> Fabio Casati, Filip Deryckere, Debraj GuhaThakurta, Masoud Hashemi, Khyati Mahajan, Manish Das<br \/>\n<strong>Advisor(s):<\/strong> Jonathan Chang \u201917<br \/>\n<strong>Students(s):<\/strong> Ananya Purwar (TL-F), Theo Rode (TL-S), Aimee Co, Sanaya Gandhi, Qingyang Zeng<\/p>\n<\/div>\n<div class=\"project-abstract\">ServiceNow provides software leveraging AI to optimize workflows in enterprise environments. Uncovering actionable insights in complex datasets is important in any enterprise software. Many widely adopted methods require a baseline understanding of the properties of underlying data, which limits the efficacy of existing solutions when applied to the enterprise use cases. LLMs offer the opportunity to augment existing specialized and highly technical clustering methods with interactive natural language, thus boosting capabilities and enabling data exploration on the fly. We built this conversational interface for clustering datasets, equipping users to explore multiple themes and gain understanding of high-dimensional data, adding the capability to interactively and iteratively perform clustering.<\/div>\n","protected":false},"excerpt":{"rendered":"<p>ServiceNow Computer Science\/Mathematics, 2025\u201326 Liaison(s): Fabio Casati, Filip Deryckere, Debraj GuhaThakurta, Masoud Hashemi, Khyati Mahajan, Manish Das Advisor(s): Jonathan Chang [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[140,185],"tags":[157],"class_list":["post-14896","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-mathematics","tag-servicenow"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/posts\/14896","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/comments?post=14896"}],"version-history":[{"count":1,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/posts\/14896\/revisions"}],"predecessor-version":[{"id":14939,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/posts\/14896\/revisions\/14939"}],"wp:attachment":[{"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/media?parent=14896"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/categories?post=14896"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hmc.edu\/clinic\/wp-json\/wp\/v2\/tags?post=14896"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}