Start: Q1 / Q2 2024
Publication: 11/2024
Region: Global
AI Use Cases: Hype vs. Reality
This study will examine the reality behind the hype: which AI use cases are proving successful, where the most successful investments are being directed, which areas companies are experimenting in right now, and the challenges AI pioneers have faced.
We will delve into specific areas, such as technologies, implementation costs, organizational embedding within companies, and the balance between in-house and outsourced approaches in AI implementation. Our aim is to uncover best practices and provide companies with a benchmark for implementing their own AI scenarios.
Key questions:
- Characterization of AI use cases (in which areas/departments are they found? What are the aims/goals? Who is driving the initiatives?)
- What did it cost? (rough estimate of budget, internal vs. external resources)
- Which technologies were used?
- Drivers and benefits – Why was the use case chosen? Was it successful?
- Challenges encountered