{"id":17208,"date":"2025-05-02T15:45:00","date_gmt":"2025-05-02T20:45:00","guid":{"rendered":"https:\/\/uwm.edu\/business\/?post_type=tribe_events&#038;p=17208"},"modified":"2025-05-07T14:21:46","modified_gmt":"2025-05-07T19:21:46","slug":"annual-ai-analytics-online-symposium-mind-meets-machines-insight-and-artificial-intelligence-converge","status":"publish","type":"tribe_events","link":"https:\/\/uwm.edu\/business\/event\/annual-ai-analytics-online-symposium-mind-meets-machines-insight-and-artificial-intelligence-converge\/","title":{"rendered":"Annual AI &amp; Analytics Online Symposium &#8211; Mind Meets Machines: Insight and Artificial Intelligence Converge"},"content":{"rendered":"<p>At the heart of the Center for Technology Innovation\u2019s AI and Analytics Symposium is a fundamental shift: as these technologies become integral to decision-making across industries, the question is no longer if we\u2019ll collaborate with machines\u2014but how. This event explores that evolving collaboration: how data, algorithms, and human judgment come together to drive innovation, shape policy, and influence business strategy. Through keynote talks, cutting-edge research, and a thought-provoking industry panel, we\u2019ll examine the practical realities, challenges, and opportunities of working at the intersection of human and machine intelligence.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-17209 size-thumbnail\" src=\"https:\/\/uwm.edu\/business\/wp-content\/uploads\/sites\/554\/2025\/05\/balamurugan05-25-150x150.jpg\" alt=\"Balamurugan Balakreshnan\" width=\"150\" height=\"150\" \/><strong>INDUSTRY KEYNOTE<br \/>\n<\/strong><strong><em>Agentic AI and IT&#8217;s Use Cases<br \/>\n<\/em><\/strong>9:00am &#8211; 9:55am, followed by a 5 minute break<\/p>\n<p><strong>Balamurugan Balakreshnan<\/strong><em><br \/>\nChief Architect WMW Microsoft<br \/>\n<\/em><\/p>\n<p>Microsoft Agentic AI represents a transformative approach to artificial intelligence, integrating autonomous agents with human ambition to drive business innovation and productivity. These AI-powered agents, such as Microsoft 365 Copilot, Azure AI Foundry Agents, are designed to automate routine tasks, enhance decision-making, and streamline workflows across various industries.<\/p>\n<hr \/>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-17210 size-thumbnail\" src=\"https:\/\/uwm.edu\/business\/wp-content\/uploads\/sites\/554\/2025\/05\/djwu-150x150.jpg\" alt=\"DJ Wu\" width=\"150\" height=\"150\" \/><strong><em>ACADEMIC KEYNOTE<br \/>\nIncentivizing The Content Creator When Tasks Can Be Delegated to Artificial Intelligence<br \/>\n<\/em><\/strong>10:00am &#8211; 10:50am, followed by a 10 minute break<\/p>\n<p><strong>DJ Wu<\/strong><em><br \/>\nErnest Scheller Jr. Chair in Innovation, Entrepreneurship and Commercialization, Georgia Tech<br \/>\n<\/em><\/p>\n<p>We develop a game-theoretic model to examine how platforms should adjust revenue-sharing to incentivize human creators in the presence of AI tools. We show that while AI can aid content creation, excessively strong AI may cause creators to shirk effort, ultimately harming the platform and reducing social welfare.<\/p>\n<hr \/>\n<p><strong><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-17211 size-thumbnail\" src=\"https:\/\/uwm.edu\/business\/wp-content\/uploads\/sites\/554\/2025\/05\/dokyun-150x150.jpg\" alt=\"Dokyun Lee-Kelli\" width=\"150\" height=\"150\" \/><\/strong><\/p>\n<p><strong>RESEARCH INSIGHTS<br \/>\n<\/strong><strong><em>Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina<br \/>\n<\/em><\/strong>11:00am &#8211; 11:50am, followed by a 10 minute break<\/p>\n<p><strong>Dokyun Lee<\/strong><em><br \/>\nKelli Questrom Associate Professor in Information Systems, Boston University<\/em><\/p>\n<p>Recent studies suggest large language models (LLMs) can exhibit human-like reasoning, aligning with human behavior in economic experiments, surveys, and political discourse. This has led many to propose that LLMs can be used as surrogates or simulations for humans in social science research. However, LLMs differ fundamentally from humans, relying on probabilistic patterns, absent the embodied experiences or survival objectives that shape human cognition. We assess the reasoning depth of LLMs using the 11-20 money request game. Nearly all advanced approaches fail to replicate human behavior distributions across many models. Causes of failure are diverse and unpredictable, relating to input language, roles, and safeguarding. These results advise caution when using LLMs to study human behavior or as surrogates or simulations.<\/p>\n<hr \/>\n<p><strong>REALITY CHECK: WHERE AI MEETS BUSINESS<\/strong><br \/>\n12:00pm &#8211; 12:45pm<\/p>\n<p><strong>Sandeep Gangarapu<\/strong>, <em>Senior Applied Scientist, Apple<br \/>\n<\/em><strong>Timothy Johnson<\/strong>, <em>Demand Planning Manager, Charter Steel<br \/>\n<\/em><strong>Waqar Hasan<\/strong>, <em>CEO, InComm Benefits<\/em><\/p>\n<p><strong>Moderator: Scott Schanke<\/strong>, <em>Director, Center for Technology Innovation &amp; Assistant Professor, University of Wisconsin-Milwaukee<\/em><\/p>\n<p>&nbsp;<\/p>\n<p><a class=\"uwm-c-button\" href=\"https:\/\/uwm.edu\/business\/forms\/mind-meets-machines-insight-and-artificial-intelligence-converge\/\">Registration Required<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>At the heart of the Center for Technology Innovation\u2019s AI and Analytics Symposium is a fundamental shift: as these technologies become integral to decision-making across industries, the question is no longer if we\u2019ll collaborate with machines\u2014but how. This event explores &hellip;<\/p>\n","protected":false},"author":82,"featured_media":0,"template":"","meta":{"_tribe_events_status":"","_tribe_events_status_reason":"","_tribe_events_is_hybrid":"","_tribe_events_is_virtual":"","_tribe_events_virtual_video_source":"","_tribe_events_virtual_embed_video":"","_tribe_events_virtual_linked_button_text":"","_tribe_events_virtual_linked_button":"","_tribe_events_virtual_show_embed_at":"","_tribe_events_virtual_show_embed_to":[],"_tribe_events_virtual_show_on_event":"","_tribe_events_virtual_show_on_views":"","_tribe_events_virtual_url":"","footnotes":"","uwm_wg_additional_authors":[]},"tags":[],"tribe_events_cat":[31,64,28,35,29,27,25],"class_list":["post-17208","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-alumni-and-community","tribe_events_cat-center-for-technology-innovation","tribe_events_cat-faculty-and-staff","tribe_events_cat-lectures-conferences-and-symposiums","tribe_events_cat-public","tribe_events_cat-students","tribe_events_cat-uwm-campus-events","cat_alumni-and-community","cat_center-for-technology-innovation","cat_faculty-and-staff","cat_lectures-conferences-and-symposiums","cat_public","cat_students","cat_uwm-campus-events"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Lubar College of Business<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uwm.edu\/business\/event\/annual-ai-analytics-online-symposium-mind-meets-machines-insight-and-artificial-intelligence-converge\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Annual AI &amp; Analytics Online Symposium - Mind Meets Machines: Insight and Artificial Intelligence Converge\" \/>\n<meta property=\"og:description\" content=\"At the heart of the Center for Technology Innovation\u2019s AI and Analytics Symposium is a fundamental shift: as these technologies become integral to decision-making across industries, the question is no longer if we\u2019ll collaborate with machines\u2014but how. 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