AI / ML resources for other strategic initiatives in the business , and better personalise customer experiences . But now we ’ re also seeing businesses monetise their data by offering up their insights as a service to other companies , creating new revenue streams and opening up opportunities for innovation .”
The importance of data quality and integration While AI platforms offer immense potential , their effectiveness heavily relies on the quality and integration of data . As Dr Kremer points out , “ Data quality remains absolutely vital for the success of AI implementation . The principle ‘ garbage in , garbage out ’ still applies . An analogy would
206 August 2024