The AI Strategy Roadmap: Navigating the stages of value creation

What can we learn from organizations that are creating value with AI?

AI has come a long way since John McCarthy coined the term at the Dartmouth conference in 1956.1 Since then, we’ve seen multiple waves of innovation, from machine learning to neural networks and, of course, generative AI. Today we are in the midst of a platform shift that is changing the way we live and work. The challenge and the opportunity for leaders is to lay the groundwork today that will enable your organization to deliver value from AI in the months and years to come.

The AI Strategy Roadmap shares what Microsoft has learned about the emerging best practices that organizations are using to create sustainable value with AI, as well as actionable insights to help you focus on the steps that are most likely to drive results. Here are some of the questions we sought to answer with this research:

1. What are the characteristics of organizations that realize value from AI at scale?
2. What do leaders need to think about from a technology, business, and organizational perspective to enable them to meet their goals?
3. What is the roadmap to success with AI? (Spoiler alert; there is no single roadmap.)
4. What is the top priority of most AI initiatives, and how does that change as organizations realize value?
5. What is the single most predictive factor for success with AI?

We worked with Ipsos to survey more than 1,300 business and technology decision makers across multiple regions and industries. Ipsos then built a predictive model, using advanced analytics, to identify the most powerful factors that affect time to value.

Read More: https://www.microsoft.com/en-us/microsoft-cloud/blog/2024/04/03/the-ai-strategy-roadmap-navigating-the-stages-of-value-creation/