{"id":23538,"date":"2024-04-15T16:10:46","date_gmt":"2024-04-15T21:10:46","guid":{"rendered":"https:\/\/blog.planview.com\/?p=23538"},"modified":"2024-04-15T16:10:49","modified_gmt":"2024-04-15T21:10:49","slug":"choosing-your-ai-use-case-a-prioritization-framework","status":"publish","type":"post","link":"https:\/\/blog.planview.com\/choosing-your-ai-use-case-a-prioritization-framework\/","title":{"rendered":"Choosing Your AI Use Case: A Prioritization Framework"},"content":{"rendered":"\n<p>By now, many boards have asked their executive teams to create at least one <a href=\"https:\/\/www.planview.com\/platform\/ai\/\" class=\"ek-link\">AI<\/a> use case\u2014if not tens of use cases. Choosing the right AI use case doesn\u2019t just affect how the board sees your performance, it impacts your enterprise\u2019s competitiveness in the Digital Age.<\/p>\n\n\n\n<p>It&#8217;s a remit that Jeff McMillan, the new head of firmwide AI at Morgan Stanley, understands. &#8220;We&#8217;ve deployed two use cases. But what about a world where we might have 100,000?&#8221; <a aria-label=\"he says. (opens in a new tab)\" href=\"https:\/\/www.axios.com\/2024\/04\/12\/banks-ai-morgan-stanley\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">he said<\/a>, in a recent interview with Axios.<\/p>\n\n\n\n<p>The possibilities feel limitless; however, organizations can&#8217;t afford to be aimless. Aligning your AI use cases to your strategic goals and implementing them with a full picture of your risk exposure requires a careful decision-making process.<\/p>\n\n\n\n<p>Whether you\u2019re just entering the AI arena or it\u2019s your umpteenth time returning, you\u2019ll need a framework in place to gather ideas and prioritize the best ones, minimize the risk you\u2019ll face, and continually assess your opportunities.<br><br>These executive insights from a recent <a href=\"https:\/\/www.planview.com\/lp\/ai-in-the-enterprise\/?utm_medium=social&amp;utm_source=linkedin&amp;utm_campaign=xx_plt_ai-in-the-enterprise_cma_ww_x_x_en&amp;utm_content=ai-in-the-enterprise-sejal-amin_social-follow\">panel discussion on AI in the enterprise<\/a> provide the basis for an AI use case decision-making framework that can be applied to quickly identify the right use case.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/blog.planview.com\/choosing-your-ai-use-case-a-prioritization-framework\/#How_to_Identify_AI_Use_Cases\" >How to Identify AI Use Cases<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/blog.planview.com\/choosing-your-ai-use-case-a-prioritization-framework\/#Select_AI_Use_Cases_that_Differentiate\" >Select AI Use Cases that Differentiate<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"h-how-to-identify-ai-use-cases\"><span class=\"ez-toc-section\" id=\"How_to_Identify_AI_Use_Cases\"><\/span>How to Identify AI Use Cases<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-1-crowdsource-ideas\">1. Crowdsource ideas.<\/h3>\n\n\n\n<p>To accelerate your decision-making process, start with a full basket of ideas. The best way to get them? Crowdsourcing.<\/p>\n\n\n\n<p>Razat Gaurav, CEO of Planview, described how Planview surfaced AI use cases: \u201cWe leveraged one of our own tools called <a href=\"https:\/\/www.planview.com\/products-solutions\/products\/ideaplace\/\">IdeaPlace<\/a> to solicit all kinds of internal and external use cases from across our employee base.\u201d Then, he went through a framework based on value to the company and complexity of effort to prioritize the results from the AI \u201chackathon.\u201d<\/p>\n\n\n\n<p>Jana Eggers has seen many AI implementations as CEO of Nara Logics, a software company that helps enterprises build AI advisors.&nbsp;<\/p>\n\n\n\n<p>She\u2019s noticed that when leaders excel with any AI product, they \u201cgo out and ask for all the ideas, and then they weigh those ideas against each other.\u201d When she sees them struggle, one factor is that \u201cthey [didn\u2019t] ask a broad enough perspective. . . gather those ideas from a larger group and weigh internal and external [use cases] together.\u201d<\/p>\n\n\n\n<p>You may not need this step each time you go through the use case framework if you still have a variety of fresh ideas from diverse sources.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-2-prioritize-by-pain-point\">2. Prioritize by pain point.<\/h3>\n\n\n\n<p>The next (crucial) step in the framework: prioritize by pain point, so that you\u2019re <a href=\"https:\/\/blog.planview.com\/want-to-put-ai-to-work-prime-your-organization-with-these-5-shifts\/\">orienting around business problems, rather than FOMO<\/a>. Obviously, you don\u2019t want to head down a use case path where the level of effort preponderates the pain you\u2019re solving.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Be very intentional about choosing use cases connected to pain points.<\/p>\n<\/blockquote>\n\n\n\n<p>Dr. Rich Sonnenblick, Chief Data Scientist at Planview, warned against choosing solutions merely because they have AI in their title or seem on trend right now. Instead, he urges executives to \u201cbe very intentional about what use cases you feel are connected to pain points within your organization and which use cases for your customers are solidly connected to their pain points.\u201d<\/p>\n\n\n\n<p>Ray Wang, moderator of the panel and Principal Analyst, Founder, and Chairman of Constellation Research, presented a hierarchy for aligning your use cases to different needs of the organization. Find his hierarchy and more insights in <a href=\"https:\/\/www.planview.com\/lp\/ai-in-the-enterprise\/\">the full panel discussion on AI in the Enterprise.<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-3-consider-the-ongoing-cost\">3. Consider the ongoing cost.<\/h3>\n\n\n\n<p>As you decide where to invest in AI, include the ongoing cost of maintenance in your plans. If you decide to build it yourself, you face the initial cost of enabling the solution. Rich laid out the hidden ongoing costs:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The cost of the support and maintenance over time that it takes to train the AI model continually.<\/li>\n\n\n\n<li>The time it takes to keep abreast of new model improvements that need to be folded in.<\/li>\n<\/ul>\n\n\n\n<p>If you purchase a solution, it\u2019s easier to spot the ongoing costs that will factor into your decision. After all, the money you spend maintaining one AI use case is less than you would have to spend on a new AI investment.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-4-start-small-and-get-feedback\">4. Start small and get feedback.<\/h3>\n\n\n\n<p>You can undertake an extensive, expensive market research exercise for AI use cases that takes eight to 10 weeks. Or you can start building with the user insights you already have to get a capability to market.<\/p>\n\n\n\n<p>Sejal Amin, Shutterstock\u2019s Chief Technology Officer, described their process: \u201cWe actually spun up [an AI project] in weeks, and we got an early release to market within four months. . . . We thought we understood the use case well enough to get it to a small audience and start getting some feedback. . . With that feedback, we&#8217;ll start iterating.\u201d<\/p>\n\n\n\n<p>While there are many ways to build new products and services, Sejal encourages other executives \u201cto start building and testing and scrappy ways with the use case in mind. . . . If you have just enough to start building, go there; start getting feedback, and you build from there.\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-5-reassess-quarterly\">5. Reassess quarterly.<\/h3>\n\n\n\n<p>Finally, return to the framework every quarter to refresh your plan. The AI vendor and technology landscape is changing fast. Don\u2019t hesitate to <a href=\"https:\/\/info.planview.com\/dynamic-planning-ebook-_ebook_prm_en_reg.html\">replan<\/a> if needs have evolved, if there\u2019s a better way to solve a use case, or if you can bundle in an additional pain point.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-select-ai-use-cases-that-differentiate\"><span class=\"ez-toc-section\" id=\"Select_AI_Use_Cases_that_Differentiate\"><\/span>Select AI Use Cases that Differentiate<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The end game with these AI use cases is to identify the ones that become your strategic differentiators, early.<\/p>\n\n\n\n<p>Getting to that point requires investment to test what works and what doesn\u2019t, but if you can make those investment decisions smartly, you can come up with some valuable learnings, successful products, and hopefully, differentiating abilities.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.planview.com\/lp\/ai-in-the-enterprise\/\" class=\"ek-link\">Catch the full panel discussion<\/a>, where you\u2019ll hear the panel explore:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How AI is improving decision-making and execution<\/li>\n\n\n\n<li>Responsible AI<\/li>\n\n\n\n<li>AI\u2019s impact on knowledge workers<\/li>\n\n\n\n<li>What enterprise organizations can do now<\/li>\n\n\n\n<li>AI\u2019s implications for enterprise data<\/li>\n<\/ul>\n\n\n\n<p><strong>Go further in developing your enterprise\u2019s AI strategy with our guide, <\/strong><a href=\"https:\/\/info.planview.com\/building-an-AI-strategy-for-digital-transformation-success-_whitepaper_plt_en_reg.html\"><strong>Building an AI Strategy for Digital Transformation Success,<\/strong><\/a> <strong>and an <\/strong><a href=\"https:\/\/info.planview.com\/planview-ai-program-_executive-briefing_plt_en_reg.html?\"><strong>AI Executive Briefing<\/strong><\/a><strong>.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Whether you\u2019re just entering the AI arena or it\u2019s your umpteenth time returning, you\u2019ll need a framework in place to gather ideas and prioritize the best ones, minimize the risk you\u2019ll face, and continually assess your opportunities. These executive insights from a recent panel discussion on AI in the enterprise provide the basis for an AI use case decision-making framework that can be applied to quickly identify the right use case.<\/p>\n","protected":false},"author":134,"featured_media":23690,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":true,"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","footnotes":""},"categories":[9582,1,7549],"tags":[],"class_list":["post-23538","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-innovation-management","category-strategic-planning"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.8 (Yoast SEO v26.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Choosing Your AI Use Case: A Prioritization Framework - 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