CIO vision 2025: Bridging the gap between BI and AI
Addressing shortcomings in companies’ data management and infrastructure, as well as internal structural and process rigidities and talent deficits, loom large among those challenges. Some 72% of the technology executives we surveyed for this study say that, should their companies fail to achieve their AI goals, data issues are more likely than not to be the reason. Improving processing speeds, governance, and quality of data, as well as its sufficiency for models, are the main data imperatives to ensure AI can be scaled,…