According to Gartner, a staggering 85% of AI projects fail to deliver on their expected outcomes, often due to poor planning, data quality issues, and misaligned objectives.
Why it matters: Better-organized AI and data projects are essential for maximizing the value these technologies bring to your business. To achieve business objectives through data and AI, organizations must establish a clear framework for project management, data governance, and cross-functional collaboration.
The solution: By implementing a human-centric approach, organizations will ensure that technology solutions are not just using the data but leveraging it in a way that is practical and ethical while meeting the needs of stakeholders and users. Ultimately, a human-centric approach to data and AI projects can lead to more impactful solutions that deliver real value to their users.
What you’ll learn in the white paper:
- How to align AI projects with business objectives.
- The main pitfalls in each phase of data and AI product development.
- How to implement a problem-driven, human-centric approach throughout the project lifecycle and ensure seamless collaboration between all stakeholders.
- Best practices for ensuring measurable impact.
Download this white paper
Discover how to unlock the potential of data and AI in product development. Download our white paper now to learn how a human-centric approach can improve your AI initiatives.
