“An average of 30% of time was spent on non-value-added tasks because of poor data quality and availability” – Global Data Transformation Survey 2019
There is huge economic power in data; Artificial Intelligence is the key to unlocking it and this is driving an AI arms race to amass talent and become the next superpower. Senior decision-makers are more aware of this than ever with Forbes reporting that 90% of organisations have now implemented AI in an attempt to fuel innovation and improve their customers’ experiences.
Despite the rapid and widespread adoption of AI, the frequent disregard for thorough data management has stunted its commercial impact. Accordingly, a study by Dimensional research reported that only 20% of organisations have gained a competitive advantage from their AI projects with a staggering 96% running into problems with data quality, data labelling, and data storage.
As senior executives face accumulating pressure to successfully embed disruptive technologies into their organisation’s DNA, how can you ensure your data is collected and stored in a manner that allows you to have the best chance of success?