Like most things that involve technology, how you approach the journey depends on where you are now, where you want to go, and your budget. When it comes to getting the workforce ready to adopt new technologies and new ways of approaching things such as analytics, large language models (LLMs), machine learning (ML), and leveraging generative AI (Gen AI), this is no different. There are turnkey solutions offered by firms which can assess where you are, put together a custom roadmap for where you want to be, and set up and manage your learning environment on their hosted platform. Alternatively, you could leverage your current learning management system (LMS), if you have one, for a custom focus on upskilling teams as appropriate based on their functions, and even link it to your human resources information system (HRIS) and career-pathing. Lastly, you might have the budget that necessitates the sweat equity that so many of us remember from our early homeowner phase of life: DIY.
No matter your budget, there are a variety of ways to navigate this journey. There are so many options, in fact, that you might be overwhelmed, and even put off upskilling, at least for a while. It can be daunting, no doubt. According to Gartner’s predictions, there will be a shift in the number of digital technology Accounting/Finance experts within the Accounting/Finance function from approximately 13% in 2023 to 46% by 2027.
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