{"id":24889,"date":"2024-11-06T15:22:22","date_gmt":"2024-11-06T23:22:22","guid":{"rendered":"https:\/\/3cloudsolutions.com\/?p=24889"},"modified":"2024-12-18T12:06:02","modified_gmt":"2024-12-18T18:06:02","slug":"laying-the-foundation-for-deploying-ai-within-your-enterprise","status":"publish","type":"post","link":"https:\/\/3cloudsolutions.com\/resources\/laying-the-foundation-for-deploying-ai-within-your-enterprise\/","title":{"rendered":"Laying the Foundation for Deploying AI Within Your Enterprise"},"content":{"rendered":"<p><span data-contrast=\"auto\">Every organization wants to take advantage of AI. Some have their coordinates set, locked in on the tools and technologies they want to implement. Others are looking for help navigating the journey to an intelligent platform.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">It\u2019s reminiscent of the days before simply plugging a destination into your GPS. Some may remember receiving a printed TripTik from AAA. It wasn\u2019t merely a roadmap outlining how to get from point A to point B. You worked with an AAA specialist to plan your adventure, receiving a personalized, printed guide that laid out everything from the roads to lodging, gas, and food.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">What follows is a multi-part series from 3Cloud with our take on the TripTik for AI. For any business leader who\u2019s wondered: How do we enable our strategic AI vision? Or, how do we layer use cases on top of an intelligent platform so that the whole business gets excited? Or even, how do we get business and the IT side of the house marching in the same direction? Then, you\u2019re in the right place.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The following is an initial discussion with Greg Todd, senior vice president of Data &amp; Analytics for 3Cloud, about laying the foundation for deploying AI within an organization. This conversation has been edited for length, continuity, and clarity.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">(Follow along this series for more on how companies can build an AI campaign within their organizations.)<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h5><b><span data-contrast=\"auto\">What do you see in terms of the AI landscape and AI demand from enterprises generally?<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h5>\n<p><span data-contrast=\"auto\">The AI landscape is still experiencing rapid growth. There\u2019s still a nearly<\/span><a href=\"https:\/\/www.forbes.com\/advisor\/business\/ai-statistics\/\"><span data-contrast=\"none\"> 37%<\/span><\/a><span data-contrast=\"auto\"> annual growth rate projected from now to 2030, which is significant. A lot of companies have moved past the science project phase. They are moving more toward implementing production-hardened solutions, meaning they will become part of the core of the business. They\u2019ll use AI tools to deliver business-driving insights that affect operating decisions around customer retention, cost optimization, and business efficiencies. But I\u2019m most excited about the concept of AI centers of excellence or AI factories starting to take shape. It\u2019s not only moving employees out of the mundane, which improves efficiencies and employee satisfaction, but also helps organizations start identifying AI use cases, building repetitive motions, and moving them through their \u2018factory floor\u2019 much faster.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h5><b><span data-contrast=\"auto\">What kind of <a href=\"https:\/\/3cloudsolutions.com\/data-science-ai\/\">advice would you give CIOs trying to get the right AI up and running at their company<\/a>? What should they be doing now?<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h5>\n<p><span data-contrast=\"auto\">Start with governance. A business might ask questions like: How will we use AI? How are we going to police it? How are we going to ensure the trustworthiness of the tools? That part of the puzzle is always first. The second phase is determining the use cases, meaning the organization outlines the scenarios and intended benefits they want from their AI capabilities specific to their industry. So, take, for example, healthcare. Many of today\u2019s healthcare organizations are targeting value-based care. There are plenty of use cases where AI and generative AI help to provide capabilities, whether it\u2019s doing research, scheduling patients, predicting which patients will most likely miss appointments, minimizing human errors such as dosage miscalculations or unnecessary tests, and more. After governance and use cases, the next step moves into data availability. The question becomes, if I\u2019m pulling content, where does it come from? Is it secure? Is it reliable? Can I then execute the AI-related activities to get the outcomes I need?<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h5><b><span data-contrast=\"auto\">That\u2019s a look into the tactical approach, but what about launching an internal campaign? If they haven&#8217;t already, how might a C-suite leader rally the company\u2019s employees around AI?<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h5>\n<p><span data-contrast=\"auto\">KPMG just released <\/span><a href=\"https:\/\/kpmg.com\/us\/en\/media\/news\/kpmg-genai-workforce-survey.html\"><span data-contrast=\"none\">a study<\/span><\/a><span data-contrast=\"auto\"> showing AI will generate more hiring and productivity. That\u2019s exciting because, to me, removing mental exhaustion from repetitive tasks only improves employee satisfaction, and growth opportunities improve workforce morale. They\u2019ve got new tools to work with, and that energy is essential for companies to succeed. An example of this was when SpaceX achieved its first-ever \u2018chopsticks\u2019 landing. The entire SpaceX workforce watched the historic landing from the company\u2019s headquarters, and they were so energetic about the company they were working for. Now, the thousands of hours that went into programming to make that happen and then actually watching it happen is incredible. Companies that can build that kind of momentum with their employees, even on a small scale, and capture that sentiment are important to building that engagement.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h5><b><span data-contrast=\"auto\">What is one thing that gets in the way of an organization realizing its potential with AI, and what do you suggest they do about it?<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h5>\n<p><span data-contrast=\"auto\">Business and IT alignment. It\u2019s a consistent challenge. The new professional must have not only industry expertise but a common understanding of the technologies available to them to help achieve their organization&#8217;s business strategy. I am a huge fan of data literacy and constantly upskilling yourself with the latest insights. At the same time, organizations should reward and enable their teams to be hungry for knowledge and constantly look for ways to apply their employees&#8217; newly honed skills. If you are not fostering a culture of individual growth, you will most likely have dissatisfied employees or a less-than-high-performing team.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">On the other hand, studies have shown higher benefits in employee satisfaction and engagement levels if you prioritize continuous learning and skill development. Organizations that promote continuous learning are also better equipped to keep pace with rapid technological advancements and industry changes. This adaptability contributes to employee confidence and job security. It\u2019s all cyclical because that strong learning culture then lends itself to enhancing a company&#8217;s reputation, making it more attractive to skilled professionals seeking opportunities for growth and development.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Every organization wants to take advantage of AI. Some have their coordinates set, locked in&mldr;<\/p>\n","protected":false},"author":21,"featured_media":24894,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[395,260],"tags":[],"class_list":["post-24889","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science-ai","category-data-ai","topics-blog"],"acf":[],"_links":{"self":[{"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/posts\/24889","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/comments?post=24889"}],"version-history":[{"count":0,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/posts\/24889\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/media\/24894"}],"wp:attachment":[{"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/media?parent=24889"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/categories?post=24889"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/3cloudsolutions.com\/wp-json\/wp\/v2\/tags?post=24889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}