Generative AI is a subset of artificial intelligence that utilizes advanced models, such as large language models (LLMs), to create novel outputs. Unlike traditional AI, which may focus on data analysis or decision-making, generative AI allows users to interact with data in innovative ways using natural language prompts, enabling a wide range of applications from automating tasks to enhancing creativity.
How quickly is generative AI being adopted?
Generative AI is being adopted at an unprecedented pace. According to an IDC study, usage among enterprises increased from 55% in 2023 to 75% in 2024. This rapid growth highlights how organizations are moving from merely exploring AI to actively implementing and scaling its applications.
What are the key drivers of AI value?
Microsoft identifies five key drivers of AI value: business strategy, technology and data strategy, AI strategy and experience, organization and culture, and AI governance. Organizations that effectively manage these drivers through cross-functional teams tend to see higher returns on their generative AI investments and can progress more quickly through the stages of AI readiness.
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