Send us a textMultiple industry surveys and authoritative reports indicate that between 60% and 80% of the total time in AI and machine learning projects is spent on data-related tasks, particularly cleaning, organising, and preparing data, rather than on model training. ​​A CrowdFlower (Figure Eight) survey found data professionals spend about 60% of their time on these preparatory activities, compared to only 3% on model training. Similar figures are echoed in Forbes and Gartner reports, reinforcing that effective AI depends more on high-quality data preparation than on the modeling step itself.The truth is, AI is only as good as the data you feed it. Whether you’re a marketing team, a comms department, a public sector organisation or a small business, the messy reality of your data will make or break your AI adoption.Need More Support? If you’re ready to explore how AI can make your marketing smarter and more efficient, check out my Professional Diploma in AI for Marketers. Or, if you’re looking for in-company training, I can help get your team up to speed. Use the code AISIX10 for a special discount just for podcast listeners. https://publicsectormarketingpros.com

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