The shift from inquiring about AI’s capabilities to focusing on profitability highlights a significant challenge: data integration. Despite a high percentage of organizations employing AI, less than 10% claim full data accessibility, which severely impacts AI performance. Fragmented data across various infrastructures leads to incomplete AI models that can only provide partial insights, hindering strategic decision-making.
To enhance AI’s value, enterprises must adopt a dual strategy that promotes visibility and trust in data. Leaders are encouraged to embed AI where data resides instead of displacing data, allowing for better governance, quick insights, and reduced costs. Establishing a unified architecture that consolidates diverse data forms can empower organizations to leverage AI effectively, transforming it into a growth engine rather than a financial burden. The alignment of data strategy with AI deployment is crucial for achieving measurable return on investment.
👉 Pročitaj original: CIO Magazine
