How to adopt advanced analytics to predict demand and make data-driven decisions?

The integration of AI to enhance decision-making, whether in supply chains or other areas, is undeniably the future. AI’s ability to assist in critical tasks, such as a radiologist diagnosing illness, is already a reality. However, it’s crucial to recognize that the quality of data feeding into AI systems directly impacts the insights generated. Poor data leads to poor outcomes, and there’s a misconception that AI can rectify historical data issues. This is simply not true. AI can only enhance decision-making if the foundational data is accurate and well-managed.

Without proper data governance, even the most advanced AI will struggle to deliver value. Therefore, while AI offers immense potential, it must be accompanied by rigorous data stewardship and robust data models. In short, the future lies in AI-powered decisions, but only with a strong commitment to maintaining high-quality business data.