Following on from last weeks article on GenAI readiness assessments, to harness its full potential, organisations must adopt a strategic approach. Developing a Generative AI Roadmap is crucial to guide this journey effectively, no only for the GenAI solutions but the development of the systems and processes around GenAI to ensure it’s long term support.
Tag: AIImplementation
Unlocking the Power of Generative AI: Why Your Organisation Needs a Maturity and Readiness Assessment
Generative AI (GenAI) is revolutionising industries by automating content creation, enhancing decision-making, and sparking innovation. But before jumping in, it’s essential to pause and do the groundwork. In today’s fast-moving, hype-driven tech landscape, that can feel a bit old-school, but understanding your organisation’s readiness isn’t just prudent, it’s foundational. A GenAI Maturity and Readiness Assessment is a crucial step to ensure that the excitement of innovation is backed by the stability of preparation.
Clear GenAI Requirements in an RFP: The Bedrock of Successful AI Implementation
Organisations will turn to external partners for GenAI implementations and the success of your GenAI project depends heavily on the clarity of your requirements.
A well-prepared RFP with comprehensive requirements isn’t just bureaucratic paperwork – it’s your blueprint for AI implementation success. Let’s dive into some insights on creating requirements that will attract the right vendors and set your GenAI project up for success.
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.
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.