{"id":21207,"date":"2025-03-21T10:00:00","date_gmt":"2025-03-21T10:00:00","guid":{"rendered":"https:\/\/www.sage.com\/en-gb\/blog\/?p=21207"},"modified":"2025-03-17T14:08:35","modified_gmt":"2025-03-17T14:08:35","slug":"ai-predictive-analytics-financial-forecasting-finance-teams","status":"publish","type":"post","link":"https:\/\/www.sage.com\/en-gb\/blog\/ai-predictive-analytics-financial-forecasting-finance-teams\/","title":{"rendered":"How finance teams can use AI and predictive analytics for reliable financial forecasting"},"content":{"rendered":"<header class=\"entry-header has-dark-background-color entry-header--has-illustration entry-header--has-illustration--generic\">\n\t<div class=\"container\">\n\t\t<div class=\"entry-header__row row align-center\">\n\t\t\t<div class=\"col col-lg-7 col-xlg-6 entry-header__content\">\n\t\t\t\t\t\t\t<div class=\"component component-single-header\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"entry-header__misc text--subtitle text--uppercase text--small\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/www.sage.com\/en-gb\/blog\/category\/money-matters\/\" class=\"entry-header__link\">Money Matters<\/a>\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t<div class=\"entry-title-wrapper\">\n\t\t\t\t\t<h1 class=\"entry-title\">\n\t\t\t\t\t\tHow finance teams can use AI and predictive analytics for reliable financial forecasting\t\t\t\t\t<\/h1>\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<p class=\"entry-header__description\">\n\t\t\t\t\t\t\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n\t<div class=\"single-post-details container\">\n\t\t<div class=\"col\">\n\t\t\t<span class=\"posted-on \"><time class=\"entry-date published\" datetime=\"2025-03-21T10:00:00+00:00\">21 March, 2025<\/time><\/span><span class=\"reading-time\"> min read<\/span>\n\t\t<button\n\t\t\ttype=\"button\"\n\t\t\tclass=\"social-share-button button button--icon button--secondary js-social-share-button\"\n\t\t\tdata-share-title=\"How finance teams can use AI and predictive analytics for reliable financial forecasting\"\n\t\t\tdata-share-url=\"https:\/\/www.sage.com\/en-gb\/blog\/ai-predictive-analytics-financial-forecasting-finance-teams\/\"\n\t\t\tdata-share-text=\"Please read this interesting article\"\n\t\t>\n\t\t\t<span class=\"social-share-button__share-label\">Share<\/span>\n\t\t\t<span class=\"social-share-button__copy-label\" hidden>Copy Link<\/span>\n\t\t\t<span class=\"social-share-button__copy-tooltip\" aria-hidden=\"true\" hidden>Copied<\/span>\n\t\t<\/button>\n\n\t\t\t\t<\/div>\n\t<\/div>\n<\/header>\n\n\n<div class=\"wp-block-post-author\">\n\t\t\t<div class=\"co-authors\">\n\t\t\t\n\t\t<div class=\"entry-author-wrapper\">\n\t\t\t<a class=\"entry-author\" href=\"https:\/\/www.sage.com\/en-gb\/blog\/author\/ashleyhindsmansage\/\">\n\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"40\" height=\"40\" src=\"https:\/\/www.sage.com\/en-gb\/blog\/wp-content\/uploads\/sites\/10\/2025\/02\/Ashley-Thompson-350x350.jpg\" class=\"entry-author__image\" alt=\"Ashley Thompson\" srcset=\"https:\/\/www.sage.com\/en-gb\/blog\/wp-content\/uploads\/sites\/10\/2025\/02\/Ashley-Thompson-350x350.jpg 350w, https:\/\/www.sage.com\/en-gb\/blog\/wp-content\/uploads\/sites\/10\/2025\/02\/Ashley-Thompson.jpg 600w\" sizes=\"auto, (max-width: 40px) 100vw, 40px\" \/>\t\t\t\t<span class=\"entry-author__name\">Ashley Thompson<\/span>\n\t\t\t<\/a>\n\n\t\t\t\t\t<\/div>\n\n\t\t\t\t<\/div>\n\t\t<\/div>\n\n\n\n<p>Reliable financial forecasting is more than just a nice-to-have for CFOs and financial professionals. It&#8217;s a strategic imperative.<\/p>\n\n\n\n<p>Leveraging predictive analytics for financial forecasting can transform your planning process by harnessing big data and advanced algorithms.<\/p>\n\n\n\n<p>If you&#8217;re still using traditional methods based solely on historical data, you&#8217;ll probably find that your outcomes don&#8217;t help you make the best possible decisions.<\/p>\n\n\n\n<p>This article explores how AI-driven forecasting can provide dynamic, real-time insights, helping you navigate uncertainty and seize emerging opportunities.<\/p>\n\n\n\n<p>Here&#8217;s what we cover:<\/p>\n\n\n<?xml encoding=\"utf-8\" ?><div class=\"wp-block-yoast-seo-table-of-contents yoast-table-of-contents\"><ul><li><a href=\"#h-the-importance-of-reliable-financial-forecasting\" data-level=\"2\">The importance of reliable financial forecasting<\/a><\/li><li><a href=\"#h-understanding-ai-and-predictive-analytics\" data-level=\"2\">Understanding AI and predictive analytics<\/a><ul><li><a href=\"#h-what-is-predictive-analytics-for-financial-forecasting\" data-level=\"3\">What Is predictive analytics for financial forecasting?<\/a><\/li><li><a href=\"#h-how-machine-learning-and-big-data-transform-forecasting\" data-level=\"3\">How machine learning and big data transform forecasting<\/a><\/li><\/ul><\/li><li><a href=\"#h-key-benefits-of-ai-driven-forecasting\" data-level=\"2\">Key benefits of AI-driven forecasting<\/a><ul><li><a href=\"#h-enhanced-accuracy-and-real-time-insights\" data-level=\"3\">Enhanced accuracy and real-time insights<\/a><\/li><li><a href=\"#h-improved-risk-management-and-opportunity-identification\" data-level=\"3\">Improved risk management and opportunity identification<\/a><\/li><\/ul><\/li><li><a href=\"#h-step-by-step-guidance-to-implementing-ai-in-financial-forecasting\" data-level=\"2\">Step-by-step guidance to implementing AI in financial forecasting<\/a><ul><li><a href=\"#h-step-1-data-collection\" data-level=\"3\">Step 1: Data collection<\/a><\/li><li><a href=\"#h-step-2-data-cleaning-and-preparation\" data-level=\"3\">Step 2: Data cleaning and preparation<\/a><\/li><li><a href=\"#h-step-3-choosing-the-right-model\" data-level=\"3\">Step 3: Choosing the right model<\/a><\/li><li><a href=\"#h-step-4-model-training-and-validation\" data-level=\"3\">Step 4: Model training and validation<\/a><\/li><li><a href=\"#h-step-5-integration-and-deployment\" data-level=\"3\">Step 5: Integration and deployment<\/a><\/li><li><a href=\"#h-step-6-continuous-monitoring-and-improvement\" data-level=\"3\">Step 6: Continuous monitoring and improvement<\/a><\/li><\/ul><\/li><li><a href=\"#h-addressing-challenges-and-embracing-best-practice\" data-level=\"2\">Addressing challenges and embracing best practice<\/a><ul><li><a href=\"#h-common-challenges\" data-level=\"3\">Common challenges<\/a><\/li><li><a href=\"#h-best-practices-for-success\" data-level=\"3\">Best practices for success<\/a><\/li><\/ul><\/li><li><a href=\"#h-final-thoughts\" data-level=\"2\">Final thoughts<\/a><\/li><\/ul><\/div>\n\n\n\n<div class=\"single-cta\">\n\t<a\n\t\tclass=\"button button--primary gate-a72b68be-0fcb-4e24-b79a-14b0f9d2002c\"\n\t\trole=\"button\"\n\t\tdata-button-location=\"content_area\"\n\t\thref=\"#gate-a72b68be-0fcb-4e24-b79a-14b0f9d2002c\"\n\t>Get your free copy of AI opportunities for CFOs here<\/a>\n<\/div>\n\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-the-importance-of-reliable-financial-forecasting\">The importance of reliable financial forecasting<\/h2>\n\n\n\n<p>For CFOs and financial professionals, <a href=\"https:\/\/www.sage.com\/en-gb\/blog\/cash-flow-forecasting-small-businesses\/\" rel=\"noopener noreferrer\">forecasting<\/a> isn&#8217;t just about predicting revenue or cash flow. It&#8217;s the backbone of strategic planning and risk management.<\/p>\n\n\n\n<p>Agility and resource allocation are critical, and inaccurate forecasts can lead to costly mistakes.<\/p>\n\n\n\n<p>Relying solely on traditional forecasting methods, which lean heavily on historical trends and human judgment, can leave your business exposed to rapid market shifts and unforeseen events.<\/p>\n\n\n\n<p>Traditional methods often suffer from human biases, whether overly optimistic or excessively cautious.<\/p>\n\n\n\n<p>In an era where data is abundant and market conditions can change overnight, a data-driven approach powered by AI can help you develop forecasts that are not only more precise but also more adaptable.<\/p>\n\n\n\n<p>By integrating real-time information with advanced analytics, you can make more informed decisions that steer your business toward growth and resilience.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-understanding-ai-and-predictive-analytics\">Understanding AI and predictive analytics<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-what-is-predictive-analytics-for-financial-forecasting\">What Is predictive analytics for financial forecasting?<\/h3>\n\n\n\n<p>Predictive analytics for financial forecasting involves using machine learning algorithms to analyse limitless amounts of data and identify patterns that can forecast future trends.<\/p>\n\n\n\n<p>Unlike traditional forecasting methods that rely solely on past performance, these AI models continuously learn from new data. This allows them to adapt to emerging trends and market shifts in real time.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-how-machine-learning-and-big-data-transform-forecasting\">How machine learning and big data transform forecasting<\/h3>\n\n\n\n<p>Machine learning models are great at processing large sets of data, detecting subtle trends, and uncovering correlations that might go unnoticed by human analysts.<\/p>\n\n\n\n<p>For example, by analysing customer behaviour, market conditions, and economic indicators, these models can predict future revenue streams or flag potential cash flow issues before they escalate.<\/p>\n\n\n\n<p>With the right blend of internal data (such as historical sales figures) and external data (such as market reports and economic trends), you gain a richer, more comprehensive view of your financial landscape.<\/p>\n\n\n\n<div class=\"single-cta\">\n\t<a\n\t\tclass=\"button button--primary gate-a72b68be-0fcb-4e24-b79a-14b0f9d2002c\"\n\t\trole=\"button\"\n\t\tdata-button-location=\"content_area\"\n\t\thref=\"#gate-a72b68be-0fcb-4e24-b79a-14b0f9d2002c\"\n\t>Get your free copy of AI opportunities for CFOs here<\/a>\n<\/div>\n\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-key-benefits-of-ai-driven-forecasting\">Key benefits of AI-driven forecasting<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-enhanced-accuracy-and-real-time-insights\">Enhanced accuracy and real-time insights<\/h3>\n\n\n\n<p>One of the primary advantages of integrating AI into your forecasting is the enhanced accuracy it delivers.<\/p>\n\n\n\n<p>Traditional methods might provide a snapshot based on historical data, but AI models update continuously as new information becomes available.<\/p>\n\n\n\n<p>Imagine having a <a href=\"https:\/\/www.sage.com\/en-gb\/sage-business-cloud\/intacct\/product-capabilities\/extended-capabilities\/financial-reporting\/\">dashboard<\/a> that not only reflects what happened yesterday but also offers predictions for the upcoming week.<\/p>\n\n\n\n<p>This real-time capability enables you to <a href=\"https:\/\/www.sage.com\/en-gb\/blog\/improve-financial-processes-cfo-finance-teams\/\" rel=\"noopener noreferrer\">react swiftly to market changes<\/a>, ensuring your business stays agile in the face of uncertainty.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-improved-risk-management-and-opportunity-identification\">Improved risk management and opportunity identification<\/h3>\n\n\n\n<p>With more precise forecasts, you&#8217;re better positioned to manage risks proactively.<\/p>\n\n\n\n<p>Predictive analytics for financial forecasting can help flag potential issues, such as a downturn in cash flow or unexpected spending trends, before they become critical problems.<\/p>\n\n\n\n<p>By <a href=\"https:\/\/www.sage.com\/en-gb\/blog\/real-world-advice-financial-services-cfo\/\" rel=\"noopener noreferrer\">integrating multiple data sources<\/a>, these models offer a holistic view of your business&#8217;s financial health, allowing you to make proactive decisions rather than reactive ones.<\/p>\n\n\n\n<p>Moreover, reliable forecasting can unearth hidden growth opportunities.<\/p>\n\n\n\n<p>For example, AI can analyse market trends and customer behaviour to identify emerging niches or optimal times for strategic investments.<\/p>\n\n\n\n<p>This kind of insight not only minimises risk but also maximises the potential for growth, giving your business a competitive edge in a crowded market.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-step-by-step-guidance-to-implementing-ai-in-financial-forecasting\">Step-by-step guidance to implementing AI in financial forecasting<\/h2>\n\n\n\n<p>Integrating AI into your financial forecasting process might seem like a daunting task at first, but with a structured approach, it can be both manageable and highly rewarding.<\/p>\n\n\n\n<p>Here&#8217;s how to get started.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-step-1-data-collection\">Step 1: Data collection<\/h3>\n\n\n\n<p>The foundation of any AI system is quality data.<\/p>\n\n\n\n<p>Start by gathering all relevant internal financial data\u2014historical sales figures, expense records, cash flow statements\u2014and pair that with external data such as market trends, economic indicators, and industry reports.<\/p>\n\n\n\n<p>The more comprehensive your data, the better your model can perform.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-step-2-data-cleaning-and-preparation\">Step 2: Data cleaning and preparation<\/h3>\n\n\n\n<p>Before feeding your data into any model, it&#8217;s essential to clean and pre-process it. <\/p>\n\n\n\n<p>This means removing duplicates, addressing missing values, and normalising data for consistency.<\/p>\n\n\n\n<p>Remember, the accuracy of your predictions is directly tied to the quality of your input data. Well-prepared data ensures your AI model can learn effectively from the information it&#8217;s provided.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-step-3-choosing-the-right-model\">Step 3: Choosing the right model<\/h3>\n\n\n\n<p>Selecting the appropriate machine learning model is crucial. Depending on your specific forecasting needs, you might choose a time-series model, a regression-based approach, or a neural network.<\/p>\n\n\n\n<p>Collaborate with data scientists or consult with AI vendors to help identify the model that best fits your business requirements.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-step-4-model-training-and-validation\">Step 4: Model training and validation<\/h3>\n\n\n\n<p>Once you&#8217;ve chosen a model, train it using your cleaned data.<\/p>\n\n\n\n<p>During the training phase, the model learns to recognise patterns and correlations in your data. It&#8217;s important to split your data sets into training and testing sets to validate the model&#8217;s performance.<\/p>\n\n\n\n<p>Regular validation ensures that your model is not just memorising past data, but can predict future trends that are more reliable based on unseen information.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-step-5-integration-and-deployment\">Step 5: Integration and deployment<\/h3>\n\n\n\n<p>After validating your model, it&#8217;s time to integrate it with your existing financial systems.<\/p>\n\n\n\n<p>This might involve setting up a dashboard to display real-time forecasts or creating automated alerts that notify you of significant changes.<\/p>\n\n\n\n<p>Confirm your model is linked with live data feeds so that its predictions remain current. Proper integration allows your team to easily access and act on these insights.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-step-6-continuous-monitoring-and-improvement\">Step 6: Continuous monitoring and improvement<\/h3>\n\n\n\n<p>An AI model isn&#8217;t a &#8220;set and forget&#8221; solution. It requires ongoing monitoring and periodic retraining as new data becomes available.<\/p>\n\n\n\n<p>Build performance reviews regularly into your routine, and be prepared to update parameters or even switch models if necessary.<\/p>\n\n\n\n<p>Continuous improvement is key to maintaining the long-term accuracy and reliability of your forecasts.<\/p>\n\n\n\n<div class=\"single-cta\">\n\t<a\n\t\tclass=\"button button--primary gate-a72b68be-0fcb-4e24-b79a-14b0f9d2002c\"\n\t\trole=\"button\"\n\t\tdata-button-location=\"content_area\"\n\t\thref=\"#gate-a72b68be-0fcb-4e24-b79a-14b0f9d2002c\"\n\t>Get your free copy of AI opportunities for CFOs here<\/a>\n<\/div>\n\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-addressing-challenges-and-embracing-best-practice\">Addressing challenges and embracing best practice<\/h2>\n\n\n\n<p>While the benefits of AI-driven forecasting are clear, implementing such a system comes with its own set of challenges.<\/p>\n\n\n\n<p>Here are some common pitfalls and best practices to help ensure success.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-common-challenges\">Common challenges<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data quality issues:<\/strong> inaccurate or incomplete data can lead to poor predictions. Investing in robust data collection and cleaning processes is essential.<\/li>\n\n\n\n<li><strong>Overreliance on technology:<\/strong> although AI provides powerful insights, it should complement\u2014not replace\u2014human expertise. You&#8217;ll need to interpret and validate the model&#8217;s predictions.<\/li>\n\n\n\n<li><strong>Integration complexities:<\/strong> incorporating AI models into your existing systems may require significant technical adjustments and a period of adaptation.<\/li>\n\n\n\n<li><strong>Resistance to change:<\/strong> moving to an AI-driven approach might be met with scepticism from employees used to traditional methods. Effective change management and clear communication are vital.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-best-practices-for-success\">Best practices for success<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Start with a pilot project:<\/strong> begin with a small-scale implementation to test the technology and measure its impact before rolling it out company-wide.<\/li>\n\n\n\n<li><strong>Collaborate with experts:<\/strong> work with data scientists or partner with experienced AI vendors to guide the process. Their expertise can help streamline implementation and avoid common pitfalls.<\/li>\n\n\n\n<li><strong>Invest in continuous training:<\/strong> equip your team with the skills needed to work alongside AI tools. Regular training sessions will help bridge the gap between traditional financial practices and modern, data-driven methods.<\/li>\n\n\n\n<li><strong>Maintain flexibility:<\/strong> the business environment is always evolving, and so should your AI models. Regularly review and update your forecasting models to ensure they remain relevant and reliable.<\/li>\n\n\n\n<li><strong>Foster a culture of innovation:<\/strong> encourage a mindset that embraces change and continuous improvement. When your team is open to new ideas, it&#8217;s easier to integrate advanced technologies into everyday processes.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-final-thoughts\">Final thoughts<\/h2>\n\n\n\n<p>By leveraging machine learning and big data, <a href=\"https:\/\/www.sage.com\/en-gb\/blog\/improve-financial-processes-cfo-finance-teams\/\" rel=\"noopener noreferrer\">CFOs and financial professionals<\/a> can gain unprecedented accuracy, access real-time insights, and proactively manage risks.<\/p>\n\n\n\n<p>As algorithms become more sophisticated and data becomes ever more integral to decision-making, those who adopt predictive analytics for financial forecasting will be best positioned to navigate uncertainty, capitalise on opportunities, and drive sustainable growth.<\/p>\n\n\n\n<div class=\"single-cta gated-content\">\n\t<div class=\"single-cta__positioner\">\n\t\t<div class=\"single-cta__wrapper has-dark-background-color\">\n\t\t\t<div class=\"single-cta__content\">\n\t\t\t\t\t\t\t\t<h2 class=\"single-cta__title h3\">AI: The opportunity for CFOs<\/h2>\n\n\t\t\t\t\t\t\t\t\t<div class=\"single-cta__description\">\n\t\t\t\t\t\t<p><!-- wp:paragraph --><\/p>\n<p>How finance leaders can realise the potential for integrated AI tools.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a\n\t\t\t\t\t\thref=\"#gate-a72b68be-0fcb-4e24-b79a-14b0f9d2002c\"\n\t\t\t\t\t\tclass=\"single-cta__button button button--primary\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t>Download<\/a>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<img decoding=\"async\" width=\"1214\" height=\"810\" src=\"https:\/\/www.sage.com\/en-gb\/blog\/wp-content\/uploads\/sites\/10\/2024\/10\/AI-e-book-The-Opportunity-for-CFOs-1214x810.jpg\" class=\"single-cta__image\" alt=\"Woman in office looking at phone\" loading=\"lazy\" srcset=\"https:\/\/www.sage.com\/en-gb\/blog\/wp-content\/uploads\/sites\/10\/2024\/10\/AI-e-book-The-Opportunity-for-CFOs-1214x810.jpg 1214w\" sizes=\"auto, (min-width: 48em) 33vw, 100vw\" \/>\t\t\t<\/div>\n<\/div>\n\n\n\n\n\n<div class=\"single-cta\">\n\t<div class=\"single-cta__positioner\">\n\t\t<div class=\"single-cta__wrapper has-dark-background-color\">\n\t\t\t<div class=\"single-cta__content\">\n\t\t\t\t\t\t\t\t<h2 class=\"single-cta__title h3\">Subscribe to the Sage Advice newsletter<\/h2>\n\n\t\t\t\t\t\t\t\t\t<div class=\"single-cta__description\">\n\t\t\t\t\t\t<p>Join more than 500,000 UK readers and get the best business admin strategies and tactics, as well as actionable advice to help your company thrive, in your inbox every month.<\/p>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a\n\t\t\t\t\t\thref=\"#gate-b1a63862-3fa0-4a5e-bb67-c76b88bbc6b8\"\n\t\t\t\t\t\tclass=\"single-cta__button button button--primary\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t>Subscribe now<\/a>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<img decoding=\"async\" width=\"1440\" height=\"810\" src=\"https:\/\/www.sage.com\/en-gb\/blog\/wp-content\/uploads\/sites\/10\/2022\/04\/GettyImages-1073797282-1-1440x810.jpg\" class=\"single-cta__image\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/www.sage.com\/en-gb\/blog\/wp-content\/uploads\/sites\/10\/2022\/04\/GettyImages-1073797282-1-1440x810.jpg 1440w\" sizes=\"auto, (min-width: 48em) 33vw, 100vw\" \/>\t\t\t<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Learn how finance professionals can use AI and predictive analytics to improve financial forecasting and make smarter 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