Artificial intelligence (AI) promises to help enterprises boost productivity, business agility, and customer satisfaction while shortening the time required to bring new products and services to market. Yet as more IT leaders plunge their organizations deep into AI science, many are finding disappointment rather than success. A 2020 IDC study, for instance, found that 28% of AI and machine language (ML) initiatives have failed.
Creating an effective AI strategy requires careful planning, setting well-defined goals, and building a strong management commitment, plus the ability to deftly avoid common mistakes. If your organization’s current AI strategy is failing to deliver its expected results, here are seven likely reasons why.
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Source: News