{"id":38703,"date":"2021-10-28T06:05:42","date_gmt":"2021-10-28T06:05:42","guid":{"rendered":"https:\/\/clone4.10pearls.com\/?p=38703"},"modified":"2026-07-30T11:43:06","modified_gmt":"2026-07-30T11:43:06","slug":"common-mistakes-to-avoid-when-venturing-into-ai","status":"publish","type":"post","link":"https:\/\/10pearls.com\/uk\/blog\/common-mistakes-to-avoid-when-venturing-into-ai\/","title":{"rendered":"Common mistakes to avoid when venturing into AI"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"38703\" class=\"elementor elementor-38703\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-031048c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"031048c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6ca264f\" data-id=\"6ca264f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8ed551c elementor-widget elementor-widget-image\" data-id=\"8ed551c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"293\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2021\/10\/Common-Mistakes-To.jpg\" class=\"attachment-full size-full wp-image-38705\" alt=\"\" srcset=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2021\/10\/Common-Mistakes-To.jpg 1024w, https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2021\/10\/Common-Mistakes-To-300x86.jpg 300w, https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2021\/10\/Common-Mistakes-To-768x220.jpg 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9e48592 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9e48592\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-211799e\" data-id=\"211799e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8f41da6 elementor-widget elementor-widget-text-editor\" data-id=\"8f41da6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>There\u2019s no doubt about it&#8211; AI, or Artificial Intelligence, is all the rage in tech, and businesses are ready to cash in on the craze. In a recent <a href=\"https:\/\/www.ibm.com\/downloads\/cas\/BYW91WVP\" target=\"_blank\" rel=\"noopener nofollow\">IBM study<\/a>, 3 out of 4 C-level executives predict that AI will play a \u201cvery important role\u201d in the future of their organizations. And today, over 50 percent of the companies surveyed are already using AI in some capacity, often focused around automating marketing campaigns and accessing insights. And yet, while over 70% of executives surveyed believe that their industry is ready for AI, there are many mistakes happening along the way. The report indicates that many of these companies are not quite as ready as they think they are, and may be overestimating their capabilities. At 10Pearls, we see some key mistakes being made time and time again when a company adopts AI, and we navigate them at every turn. Look out for some of these as you begin your AI journey.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f22faf5 elementor-widget elementor-widget-heading\" data-id=\"f22faf5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Assuming the project has an \u201cend date\u201d:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-30110e3 elementor-widget elementor-widget-text-editor\" data-id=\"30110e3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Implementing AI is not a project that begins and ends. In fact, AI modeling is very different from <a href=\"\/software-development\/\">software development<\/a>. Software is based on rules, often ones that are unchanging. Software turns <strong>data<\/strong> into <strong>output<\/strong>. Unlike software, an AI model is constantly changing, and works with what is <strong>probable<\/strong>, not what is <strong>certain<\/strong>. In order to build a successful AI platform, you must closely watch and evaluate it from the beginning of model design all the way through to its deployment and its evolution. Unlike software, AI keeps learning on its own, and changing itself.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a46d98c elementor-widget elementor-widget-text-editor\" data-id=\"a46d98c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>So what does this mean? If AI is perpetually learning, and always changing, the teams that execute it need to be prepared to continue to adapt and evolve with the model. You need to know that this will be an ongoing process with value being realized at times exponentially and at times much more slowly, one that is not just directed by you, but by the underlying model, data and AI itself. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f771724 elementor-widget elementor-widget-heading\" data-id=\"f771724\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Forgetting to stand by your ethics:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-702ada3 elementor-widget elementor-widget-text-editor\" data-id=\"702ada3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>AI and ethics&#8211; it\u2019s a whole topic on its own. But it\u2019s important to not just know what matters to you ethically, but to stick by it. Case in point: in that same IBM study, survey respondents listed their top three priorities for AI applications in 2021, and the number one answer was building \u201cresponsible AI tools to improve privacy, explainability, bias detection and governance\u201d. It\u2019s clear that they want to do the right thing, right? Except that when IBM asked them about their action plans for this year, around just \u2153 of respondents reported plans to actually improve its governance, reduce its bias, and ensure compliance with privacy regulations.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a6696c4 elementor-widget elementor-widget-text-editor\" data-id=\"a6696c4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Ensure that your\u00a0<a href=\"https:\/\/10pearls.com\/uk\/artificial-intelligence\/\" target=\"_blank\" rel=\"noopener\">AI<\/a>\u00a0represents your values, or understand that if you don\u2019t, that AI could quickly become totally incongruent with what you stand for. At 10Pearls, we create frameworks to continually assess current and planned AI models, checking for bias, as well as protection of privacy, amongst other things. We recommend you do the same.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c3d7cc5 elementor-widget elementor-widget-heading\" data-id=\"c3d7cc5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Avoiding communication, up, down, and out:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cd8d8f0 elementor-widget elementor-widget-text-editor\" data-id=\"cd8d8f0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>One of the things that really surprised us when reading this study was that despite the fact that over half have already started working on AI, less than half of the respondents report having an AI strategy in place. That may stem from lack of broad strategy alignment and lack of understanding across the company leadership team.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-57b8c8b elementor-widget elementor-widget-text-editor\" data-id=\"57b8c8b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Imagine that you are a VP of technology. You fully understand AI and its tremendous opportunities and implications, and you\u2019re excited to carefully invest in this exciting category of tech. One need only watch the film \u201cCoded Bias\u201d or \u201cThe Social Dilemma\u201d to show how the general public feels about AI impacting their lives. If you\u2019re unable to explain this complex technology that many executives, including risk officers and even IT experts, don\u2019t yet fully understand, you\u2019ve got a problem.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-414d0bb elementor-widget elementor-widget-text-editor\" data-id=\"414d0bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Another interesting element of the IBM study was making AI more \u201cexplainable\u201d. In the 2021 study, we actually see a dip in respondents focusing on explainability as opposed to the 2020 survey.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-92b9bf0 elementor-widget elementor-widget-text-editor\" data-id=\"92b9bf0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>In order for your AI to be effective, there needs to be a strategy, the executives in your organization need to understand it at a high level, and you need to be able to defend it when questioned by anyone, including the public. Get your talking points in order before launching, and you\u2019ll be in a much better position.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e55b10c elementor-widget elementor-widget-heading\" data-id=\"e55b10c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Hiring the wrong talent:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5139c1e elementor-widget elementor-widget-text-editor\" data-id=\"5139c1e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Of course, the most important choice you\u2019ll make when developing AI is who you choose to build it. Whether hiring externally or internally, AI needs <a href=\"https:\/\/towardsdatascience.com\/model-evolution-from-standalone-models-to-model-factory-5a8e01fa03cb\" target=\"_blank\" rel=\"noopener nofollow\">machine learning and model ops engineers<\/a> with skills that blend software engineering with data science.\u00a0<a href=\"\/machine-learning\/\">Machine learning<\/a>\u00a0engineers help integrate, scale and deploy models, while Model ops engineers work on post deployment stability and monitoring. Good people in these roles are hard to find, and you need to select team members that you can trust. Look for companies that have a history of high performance in these areas, along with case studies that they can easily cite.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb89d5b elementor-widget elementor-widget-text-editor\" data-id=\"cb89d5b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>At 10Pearls, it\u2019s our job to help you avoid making these mistakes when building technology. <br \/>Whether it\u2019s helping you set a broad strategy for your AI efforts, creating a secure and ethical infrastructure upon which to build it, or delivering a high-quality brilliant team of engineers to get it done, we\u2019ve got your back. It often starts with taking a product mindset where you set 90-day milestones to accomplish small steps. Experimentation and re-validation sets the basis for creating a framework that will evolve with time and help create future exponential value in your business. Click <a href=\"https:\/\/10pearls.com\/uk\/artificial-intelligence\/\">here<\/a> to read more about how we can help.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Here, we&#8217;ll discuss the common mistakes tech firms and software development companies must avoid while transitioning into AI.<\/p>\n","protected":false},"author":41,"featured_media":38704,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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