{"id":277,"date":"2025-06-09T14:10:37","date_gmt":"2025-06-09T14:10:37","guid":{"rendered":"https:\/\/d3.harvard.edu\/lish\/?page_id=277"},"modified":"2025-06-09T14:11:07","modified_gmt":"2025-06-09T14:11:07","slug":"artificial-intelligence-in-enterprise","status":"publish","type":"page","link":"https:\/\/d3.harvard.edu\/lish\/research-tracks\/past-projects\/artificial-intelligence-in-enterprise\/","title":{"rendered":"Artificial Intelligence in Enterprise"},"content":{"rendered":"\n<p>As the new decade unfolds, profound changes are occurring in the business world. The<em>&nbsp;AI in Enterprise&nbsp;<\/em>discussion series is adapting to address the new challenges facing enterprises pursuing artificial intelligence&nbsp;and machine learning solutions.&nbsp;Designed for executives and senior management at enterprise-level companies, these one-hour talks provide insights from leaders in the field into how enterprise firms are thinking critically and strategically about AI\/ML integration<strong><u>.<\/u><\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Past Sessions in\u00a02021<\/h2>\n\n\n\n<h3 class=\"wp-block-heading has-small-font-size\">1) &#8220;Experimenting with Emerging Technologies in Australia\u2019s Biggest Bank&#8221;\u00a0with Jesse Arundell (Head of Emerging Technology, Commonwealth Bank):<\/h3>\n\n\n\n<p>In the April 2021&nbsp;session of&nbsp;<em>AI in Enterprise<\/em>,&nbsp;<strong><a href=\"https:\/\/www.linkedin.com\/in\/jessearundell\/?originalSubdomain=au\" target=\"_blank\" rel=\"noreferrer noopener\">Jesse Arundell<\/a><\/strong>&nbsp;explained how Australia\u2019s largest financial services institution is accelerating its adoption of new and emerging technologies (e.g. AI, RegTech, DLT, 5G, Quantum Computing) through active experimentation with its technology partners, investments in new deep technology start-ups, and the creation of new software and algorithms. He shared what his team does, how they work and what they are currently focused on.<\/p>\n\n\n\n<p><strong>If you missed this insightful discussion, you can find the\u00a0<a href=\"https:\/\/innovationscienceguide.org\/resources\/ai-in-enterprise-podcast-episode-11-jesse-arundell-commonwealth-bank-of-australia\" target=\"_blank\" rel=\"noreferrer noopener\">podcast and video recording on our Innovation Science Guide<\/a>\u00a0and on our\u00a0<a href=\"https:\/\/www.youtube.com\/watch?v=FzrKOPLJYWc\">youtube channel.<\/a><\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading has-medium-font-size\"><em>2) &#8220;ROI from AI: Challenges &amp; Opportunities for getting better ROI from AI initiatives&#8221;<\/em>\u00a0with Anand Rao (Global Artificial Intelligence Lead, PwC)<\/h3>\n\n\n\n<p>As the Global Artificial Intelligence Lead and innovation lead within PwC\u2019s Emerging Technology practice,&nbsp;<strong><a href=\"https:\/\/www.linkedin.com\/in\/anandsrao\/\" target=\"_blank\" rel=\"noreferrer noopener\">Dr. Anand S. Rao<\/a><\/strong>&nbsp;is responsible for research and commercial relationships with academic institutions and start-ups, research, development and commercialization of innovative AI, big data and analytic techniques.&nbsp;With over 35 years of industry and consulting experience, he leads a team of practitioners who advise C-level executives and implement advanced analytics and AI-based solutions on a variety of strategic, operational, and ethical use cases. Drawing from his PhD and research career in AI, as well as his subsequent experience in management consulting, Anand&#8217;s session will explore&nbsp;the concept of &#8220;agile AI&#8221; and how to incorporate it into the enterprise responsibly.&nbsp;<\/p>\n\n\n\n<p>If you missed this insightful discussion, you can find the recording on our&nbsp;<a href=\"https:\/\/www.youtube.com\/watch?v=jHmGy956-eo\">youtube channel<\/a>.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The\u00a0<em>AI in Enterprise<\/em>\u00a0Series<\/h2>\n\n\n\n<p>Enterprise firms across the globe are increasingly turning to AI-driven technologies to achieve key business goals. While potential benefits are significant, many firms underestimate the fundamental change necessary to successfully integrate AI into the enterprise.&nbsp;Successful adoption programs need to be developed to fit the particular needs of each organization\u2014from its data strategy, project management, and product development to its engagement with the cloud, customers, and partners.<\/p>\n\n\n\n<p>In November 2019, the Laboratory for Innovation Science (LISH), HBS Digital Initiative, and the Harvard School of Engineering and Applied Sciences (SEAS) launched&nbsp;<em><strong>AI in Enterprise<\/strong><\/em>,<em><strong>&nbsp;<\/strong><\/em>&nbsp;an invitation-only&nbsp;series for selected executives to learn how to manage expectations and assimilate the knowledge and tools they need to implement a successful transition to AI in larger, more established organizations.<\/p>\n\n\n\n<p>In contrast to other discussions on AI, this series aims to provide key insights on how enterprise firms are thinking critically and strategically about AI integration. Drawing on the LISH\u2019s extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries\u2014as well as subject matter expertise from Harvard Business School faculty and partners\u2014this series will provide a uniquely enterprise-focused forum for understanding artificial intelligence.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As the new decade unfolds, profound changes are occurring in the business world. The&nbsp;AI in Enterprise&nbsp;discussion series is adapting to address the new challenges facing enterprises pursuing artificial intelligence&nbsp;and machine learning solutions.&nbsp;Designed for executives and senior management at enterprise-level companies, these one-hour talks provide insights from leaders in the field into how enterprise firms are [&hellip;]<\/p>\n","protected":false},"author":19383,"featured_media":0,"parent":188,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_trash_the_other_posts":false,"rkv_hide_featured_image":false,"rkv_hide_page_title":false,"rkv_hide_abstract_shapes":true,"rkv_reduce_header":false,"hbsd3_featured_media_url":"","hbsd3_featured_media_url_autoplay":false,"editor_notices":[],"footnotes":""},"rkv-people-shadow":[],"class_list":["post-277","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Artificial Intelligence in Enterprise - Laboratory for Innovation Science at Harvard<\/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:\/\/d3.harvard.edu\/lish\/research-tracks\/past-projects\/artificial-intelligence-in-enterprise\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Artificial Intelligence in Enterprise - Laboratory for Innovation Science at Harvard\" \/>\n<meta property=\"og:description\" content=\"As the new decade unfolds, profound changes are occurring in the business world. 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