{"id":124217,"date":"2025-02-21T16:02:11","date_gmt":"2025-02-21T21:02:11","guid":{"rendered":"https:\/\/www.send2press.com\/wire\/?p=124217"},"modified":"2025-02-21T16:00:51","modified_gmt":"2025-02-21T21:00:51","slug":"salesmind-ai-partners-with-ucla-professor-dave-zes-and-statistics-student-teams-to-solve-lead-generation-data-challenges","status":"publish","type":"post","link":"https:\/\/www.send2press.com\/wire\/salesmind-ai-partners-with-ucla-professor-dave-zes-and-statistics-student-teams-to-solve-lead-generation-data-challenges\/","title":{"rendered":"SalesMind.ai Partners with UCLA Professor Dave Zes and Statistics Student Teams to Solve Lead Generation Data Challenges"},"content":{"rendered":"

LOS ANGELES, Calif., Feb. 21, 2025 (SEND2PRESS NEWSWIRE) — SalesMind.ai, a cutting-edge AI-powered sales automation platform, has announced a research collaboration with Dave Zes, Statistics & Data Science <\/strong>Lecturer at UCLA <\/strong>and two teams of statistics students from UCLA<\/strong> to tackle one of the biggest challenges in AI-driven lead generation: data accuracy and quality<\/strong>.<\/p>\n

\"SalesMind.AI\"
Image caption: SalesMind.ai.<\/em><\/p>\n

Despite advancements in data aggregation and AI-driven prospecting tools, SalesMind.ai has found that even well-established data providers\u2014such as LinkedIn, Apollo, and Seamless.ai<\/strong>\u2014often deliver 50% inaccurate<\/strong> data when tested against real-world outbound calling campaigns. The UCLA teams will apply advanced statistical modeling, machine learning techniques, and data cleansing algorithms<\/strong> to develop a more accurate, scalable<\/strong>, and real-time<\/strong> solution to these industry-wide problems.<\/p>\n

Addressing Critical Lead Generation Challenges<\/strong><\/p>\n

The research initiative will focus on three major problems in AI-driven sales and marketing<\/strong>:<\/p>\n

    \n
  1. Identifying Accurate Ideal Customer Profile (ICP) Data<\/strong> \u2013 Refining methods to pinpoint the most relevant and high-converting prospects across industries.<\/li>\n
  2. Verifying Mobile Number Accuracy<\/strong> \u2013 Enhancing data validation to ensure the highest possible connection rates.<\/li>\n
  3. Improving Name and Company Data Precision<\/strong> \u2013 Reducing false positives and outdated information in lead databases.<\/li>\n<\/ol>\n

    \u201cIn our extensive outbound testing, we discovered that nearly half of the data provided by existing platforms is either outdated or completely inaccurate,\u201d said Chris Fisher Co-Founder @ SalesMind.ai<\/strong>. \u201cBy working with UCLA\u2019s top statistics students and Professor Zes<\/strong>, we aim to solve these challenges with data science-driven solutions that will set a new industry standard for lead accuracy<\/strong>.\u201d<\/p>\n

    Leveraging UCLA\u2019s Expertise in Data Science & AI<\/strong><\/p>\n

    UCLA\u2019s statistics student teams<\/strong> will apply their expertise in predictive modeling, data mining, and Bayesian analysis<\/strong> to refine SalesMind.ai\u2019s lead scoring and validation models. This collaboration represents a fusion of academic rigor and AI-driven sales technology<\/strong>, where students will work on real-world datasets, develop AI-driven heuristics<\/strong>, and test their solutions against actual outbound sales campaigns.<\/p>\n

    \u201cAI is only as good as the data it processes,\u201d said Professor Dave Zes<\/strong>. <\/p>\n

    \u201cBy applying statistical rigor and machine learning methodologies<\/strong>, our students will work on a high-impact problem<\/strong>\u2014ensuring that businesses relying on AI-driven sales tools get real, actionable<\/strong> data rather than inaccurate leads that waste time and resources.\u201d<\/p>\n

    Pioneering the Next Generation of AI Sales Intelligence<\/strong><\/p>\n

    SalesMind.ai\u2019s goal is to revolutionize AI-powered sales engagement<\/strong> by ensuring that AI voice agents connect with real decision-makers<\/strong> rather than chasing inaccurate leads. By enhancing the precision of ICP targeting, improving call connection rates, and validating contact details in real time<\/strong>, SalesMind.ai is set to offer the most accurate and intelligent AI sales agent on the market.<\/strong><\/p>\n

    With this collaboration, SalesMind.ai and UCLA aim to push the boundaries of AI in sales<\/strong>, demonstrating how academic research and AI innovation<\/strong> can combine to solve real-world business challenges<\/strong>.<\/p>\n

    About SalesMind.ai<\/strong><\/p>\n

    SalesMind.ai is an advanced AI-powered sales automation platform that helps businesses eliminate hold times, increase connection rates, and set more appointments<\/strong> using conversational AI. Leveraging cutting-edge LLM voice agents<\/strong>, SalesMind.ai handles thousands of calls daily, qualifying prospects, answering questions, and booking meetings at a fraction of the cost of traditional sales teams<\/strong>.<\/p>\n

    About UCLA Professor Dave Zes<\/strong><\/p>\n

    Professor Dave Zes<\/strong> is a UCLA Lecturer specializing in statistical modeling, data science applications, and machine learning<\/strong>. His work focuses on real-world applications of AI and statistical inference<\/strong>, helping students develop solutions to complex data-driven problems.<\/p>\n

    MEDIA CONTACT:<\/strong>
    \nChris Fisher
    \nCo-Founder
    \nSalesMind.ai
    \nchris@salesmind.ai
    \n808-647-4340
    \nhttps:\/\/salesmind.ai<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

    LOS ANGELES, Calif., Feb. 21, 2025 (SEND2PRESS NEWSWIRE) — SalesMind.ai, a cutting-edge AI-powered sales automation platform, has announced a research collaboration with Dave Zes, Statistics & Data Science Lecturer at UCLA and two teams of statistics students from UCLA to tackle one of the biggest challenges in AI-driven lead generation: data accuracy and quality.<\/p>\n","protected":false},"author":9973,"featured_media":124222,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[622,11,10,45,187],"tags":[],"class_list":["post-124217","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-advertising-marketing-news","category-california-news","category-education-news","category-los-angeles-news","has-post-title","has-post-date","no-post-category","no-post-tag","no-post-comment","has-post-author"],"acf":[],"views":2787,"_links":{"self":[{"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/posts\/124217","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/users\/9973"}],"replies":[{"embeddable":true,"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/comments?post=124217"}],"version-history":[{"count":3,"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/posts\/124217\/revisions"}],"predecessor-version":[{"id":124225,"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/posts\/124217\/revisions\/124225"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/media\/124222"}],"wp:attachment":[{"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/media?parent=124217"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/categories?post=124217"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.send2press.com\/wire\/wp-json\/wp\/v2\/tags?post=124217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}