Organizations are racing to harness the power of artificial intelligence (AI) to boost productivity and efficiency, deliver personalized services, and generate new ideas that enhance those services. However, there are risks to rushing into AI without proper preparation.
Trusted data requires data integrity – or data with maximum accuracy, consistency, and context. With this in mind, let’s explore the data integrity fundamentals you need to ensure trust and success in your results.