{"id":860,"date":"2024-12-10T23:05:09","date_gmt":"2024-12-10T23:05:09","guid":{"rendered":"https:\/\/www.billnewell.com\/?p=860"},"modified":"2024-12-10T23:05:09","modified_gmt":"2024-12-10T23:05:09","slug":"why-businesses-struggle-with-ai-copilots-and-how-to-get-it-right","status":"publish","type":"post","link":"https:\/\/devdomewp.justdomeit.com\/index.php\/2024\/12\/10\/why-businesses-struggle-with-ai-copilots-and-how-to-get-it-right\/","title":{"rendered":"Why Businesses Struggle with AI Copilots\u2014and How to Get It Right"},"content":{"rendered":"\n

AI copilots like Microsoft 365 Copilot are game-changers, promising to revolutionize the way businesses operate. Yet many companies are finding that integrating them into operations and services isn\u2019t as seamless as advertised. Let\u2019s talk about why\u2014and how to overcome these challenges.<\/p>\n\n\n\n

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One of the biggest hurdles is data preparation<\/em>. Microsoft paints a picture of effortless AI adoption: connect your data, hit go, and watch the magic happen. But the reality is much more nuanced. Most organizations lack a clear roadmap for preparing their data, ensuring it\u2019s clean, organized, and accessible for AI models. Without this foundation, copilots can\u2019t deliver consistent, accurate results.<\/p>\n\n\n\n

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Another challenge is complexity<\/em>. While Microsoft offers tools to customize and connect copilots, navigating these capabilities requires more than basic technical know-how. Building effective prompts and customizing GPTs to meet unique business needs takes specialized skills. And let\u2019s not overlook Microsoft\u2019s tendency to oversimplify the process, which can leave executives blindsided when things don\u2019t \u201cjust work.\u201d<\/p>\n\n\n\n

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Finally, there\u2019s the issue of data security and oversharing<\/em>. Recent reports show that copilots can unintentionally expose sensitive data. It\u2019s a problem Microsoft is working on, but in the meantime, companies need robust governance to avoid unintended leaks.<\/p>\n\n\n\n

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So, how do you tackle these challenges?<\/p>\n\n\n\n

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  1. Prioritize Data Readiness.<\/strong> Take a step back and assess your data. Is it structured, complete, and accessible? Invest in tools and workflows that clean and organize your data before introducing AI.
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  2. Partner Strategically.<\/strong> Not every business has in-house expertise in prompt engineering or GPT customization\u2014and that\u2019s okay. Partnering with experts can accelerate your journey and minimize missteps. That\u2019s why SparxWorks joined forces with PulseOne, a nationwide leader in Managed IT Services. Together, we\u2019re helping businesses bridge these gaps, from data preparation to full-scale AI integration.
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  3. Educate Your Team.<\/strong> Copilots require thoughtful implementation. Train your team to build better prompts and understand the nuances of AI behavior.<\/li>\n<\/ol>\n\n\n\n

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    The promise of AI copilots is real, but the path to unlocking their full potential requires careful planning. If you\u2019re struggling with how to prepare your organization, let\u2019s connect. SparxWorks and PulseOne are here to make the process as seamless\u2014and impactful\u2014as possible.<\/p>\n\n\n\n

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    I\u2019d love to hear your feedback on Copilot implementations\u2014what\u2019s worked, what hasn\u2019t, and any best practices (or lessons learned) along the way.<\/p>\n\n\n\n

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    COMMENT ON LINKEDIN<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    After years of experimentation and hype, we can finally say that augmented reality and virtual worlds are now viable and within reach of consumers. The continued growth of 5G, the availability of edge computing, and the rapid adoption of W3 technologies have set the stage to incorporate digital media in all forms into the actual world, including persistence, and thanks to NFTs, we can make a digital \u201citem\u201d unique.<\/p>\n","protected":false},"author":4,"featured_media":885,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[27],"tags":[217,219,206,220,221,222,175],"class_list":["post-860","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologies","tag-aiintegration","tag-copilot","tag-digitaltransformation","tag-generativeai","tag-microsoft","tag-pulseone","tag-sparxworks"],"_links":{"self":[{"href":"https:\/\/devdomewp.justdomeit.com\/index.php\/wp-json\/wp\/v2\/posts\/860","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devdomewp.justdomeit.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devdomewp.justdomeit.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devdomewp.justdomeit.com\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/devdomewp.justdomeit.com\/index.php\/wp-json\/wp\/v2\/comments?post=860"}],"version-history":[{"count":0,"href":"https:\/\/devdomewp.justdomeit.com\/index.php\/wp-json\/wp\/v2\/posts\/860\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devdomewp.justdomeit.com\/index.php\/wp-json\/wp\/v2\/media\/885"}],"wp:attachment":[{"href":"https:\/\/devdomewp.justdomeit.com\/index.php\/wp-json\/wp\/v2\/media?parent=860"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devdomewp.justdomeit.com\/index.php\/wp-json\/wp\/v2\/categories?post=860"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devdomewp.justdomeit.com\/index.php\/wp-json\/wp\/v2\/tags?post=860"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}