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.
Category: AI Investment Management
Problems with Business Continuity Planning? GenAI can help…
Business Continuity (BC) planning is all about staying resilient when things go sideways. But in an age of continuous change and increasingly complex systems, traditional planning approaches can fall short. That’s where Generative AI (GenAI) can help – not as a replacement, but as an intelligent partner helping us think faster, deeper, and more creatively.
Why You Need a Portfolio of GenAI Projects (With Business Cases to Match!)
Generative AI (GenAI) has the ability to transform industries, unlock efficiencies, and drive innovation – no doubt. Are organisations struggling to move beyond scattered experiments or uncoordinated deployments? The key is to treat GenAI projects like any other strategic investment – by building a portfolio and backing each initiative with a solid business case, while appreciating the difference that GenAI brings and the rapid evolution of the GenAI market.
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.
The Rise of Shadow GenAI and the Risk of Technical Debt
I have written previously about technical debt and GenAI choices and when you add on Shadow GenAI the situation becomes even more complex. The accessibility of Generative AI (GenAI) tools means that everyone can innovate like never before. However, this surge in un-monitored GenAI usage, often referred to as “Shadow AI”, combined with GenAI only now starting to come down from the ‘Peak of Inflated Expectations’ can lead to significant challenges, including the accumulation of technical debt within organisations.
The Urgency of Generative AI: Today’s Competitive Edge, Tomorrow’s Necessity
As I explore the AI development platforms from major providers like IBM , Google, Amazon Web Services (AWS) and Microsoft it’s clear that they are increasingly offering tools that provide easy access to both pre-trained models and custom model training (we also have easy API access to models like ChatGPT and Gemini). A recent report from the IBM Institute for Business Value included a sentence that resonated with me: “The competitive edge that generative AI delivers today will be table stakes tomorrow.” This insight feels particularly relevant when considering the services these major platforms offer – its power to differentiate will diminish.