Preparing Businesses for AI Implementation
Many organizations fail to achieve maximum ROI from their AI projects due mainly to a lack of readiness in four key areas: strategy, data, technical infrastructure, and corporate culture.
Assessing an organization’s capabilities across these four pillars enables leaders to address weak areas to improve AI performance and maximize ROI.
Download this white paper to learn the 5-step process for assessing your business’s AI readiness.
Chapter 1
Most businesses are weak in four key areas, and many overestimate their AI readiness.
Chapter 2
The success of an AI project depends on strategy, data, infrastructure, and team culture.
Chapter 3
A thorough AI readiness assessment consists of five steps to evaluate each area.
According to an Ernst & Young (EY) survey, 97% of business leaders who have invested in AI say they have seen positive returns.
However, in that same report, 83% of senior business leaders said AI adoption would be faster with a stronger data infrastructure, and more than two-thirds said their lack of infrastructure is actively hindering AI adoption.
Data and technology are only two factors of AI readiness. The business also needs a solid AI strategy and a workplace culture that supports the adoption of AI tools.
Many business leaders overestimate how prepared they are to implement AI solutions effectively. By identifying the weak areas in your business before beginning an AI project, you can accelerate your implementation and achieve a greater return on your AI investment dollars.
Download our free white paper and learn how to accurately assess AI readiness and maximize your project’s success.
