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.
Tag: AIInnovation
Re-imagining Business Processes with Generative AI: Business Analysts are in a Unique Position
Business Analysts (BA’s) are in an amazing spot right now (and in the foreseeable future). GenAI offers unprecedented opportunities to enhance efficiency, drive process improvements, and deliver greater value both within the BA’s own processes but also within the processes of the organisation.
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.
Generative AI and Enterprise Architecture: The GenAI Impact
In preparing last weeks article I came across a series of blog posts from Ardoq (thanks to Ed Granger) that deserves more attention (catch it here). There are quite a few posts (maybe too many) on how GenAI and Agentic AI can be used in organisations but not much on how we conceptualise and plan for this from a Enterprise Architecture (EA) perspective. Ardoq’s insightful blog series delves into GenAI’s impact on EA and more – it’s really worth a read.
Agentic AI – what would heading into 2025 be like without another article on Agentic AI.
We’ve been seeing Agentic AI hit the press a lot over the last while, especially as we head into 2025. I recently had the chance to build a PoC and find out what Agentic AI was all about and I think I get it now…
The GenAI Imperative: Are You Leaving Money and Time on the Table?
A little while ago I wrote an article that talked about the urgency of adopting Generative AI (GenAI). The more organisations I speak to, who then see the potential of GenAI, the more I realise that it’s an imperative – that the world is changing around organisations and those that are not planning to adopt are leaving both time and cost savings on the table (the ROI is tangible). This hesitation could be costing businesses more than they realise – the loss of a competitive edge.
Mitigating Risks in LLMs: How Observability Enhances AI Reliability
Agentic AI and LLM tools enable remarkable capabilities, from automating workflows to generating content and insights. As I spend more time in Langflow and really start to appreciate the power of the systems that can be developed I started wondering about how they could be monitored, how do we implement Observability – then a note about Datadog LLM Observability came across my feed and got me thinking that this is worth looking at more deeply.