Category: AI in Project Management

GenAI Projects: 30% will be dropped by the end of 2025…. hmmm… is that really a problem?

A week or two ago I came across an article from Business Standard that summarised a Gartner report suggesting that over 30% of GenAI projects won’t survive beyond proof of concept (PoC) and will be dropped by the end of 2025. Having run a large project portfolio I’m always interested in stats like this so I decided to pick at this a little and see whether this is indeed an issue, or just a headline.

Identifying AI Risks: A New Tool for Businesses

Understanding the risks in any organisation or project takes time and usually involves one or more risk workshops, more often than not starting with a blank sheet of paper. Massachusetts Institute of Technology (MIT) have provided us with a short cut to identify risks associated with artificial intelligence using a new resource, the AI Risk Repository – save time and improve the breadth and depth of risks.

AI and Change Management: OCM’s crucial role in AI Projects

In a Gartner presentation by Max Goss this week the subject of Organisational Change Management (OCM) in AI projects was brought up. OCM has always been important in IT projects but what makes it different in AI projects? Well, no surprise, it’s not just about the technology, it’s about the usual suspects such as communications, involving the right stakeholders, leveraging change networks and delivering training but there are more things to consider in the rapidly evolving landscape of AI.

ISACA Announces AI Audit Toolkit: What You Need to Know and Why it’s Good for System Design…

In a significant move to bolster AI governance and compliance, ISACA has unveiled its AI Audit Toolkit. This toolkit is designed to help organisations navigate the complexities of auditing AI systems, providing a structured approach to assess and ensure their AI technologies are both effective and ethically sound. Although focused on Audit, why not use it to help drive design work?