I often like to say data is like water. The reason for this is that it is constantly flowing, you cannot survive without access to it, and it is constantly being used, cleaned, and recycled. Dirty water, however, is largely unusable – left to stagnate in water tanks or storage, it is quickly forgotten about and thrown away. But when we treat that water with care and make sure it is clean, we allow for the reallocation and consistent use and re-use of it in very different ways in everyday life.
Data is exactly the same. If businesses do not have the right data, which is accessible, clean secure and consistent, AI projects will not survive. Proof of AI’s increasing integration was highlighted in McKinsey’s 2022 State of AI report. It showed that AI adoption has more than doubled since 2017, with 50% of organisations saying…
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