While mulling over what seemed to be a lack of GenAI frameworks and design patterns last week, this post from Debmalya Biswas dropped into my feed on A Comprehensive Guide to Agentic AI. This post and the accompanying slides are more than the title suggests – they are a great start on a set design patterns and reference architectures – something that we seem to be sorely missing.
Author: Steve Harris
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.
It’s all about the interface: How Natural Language Interfaces are Redefining the Way We Work
Mulling over why systems like ChatGPT, Perplexity, Gamma, Gemini, Claude etc. are so successful – it’s all about the interface. It isn’t just about their perceived intelligence – it’s about how they interact with us – it’s about the interface; the natural language interface . It’s a shift in how humans and machines collaborate. What does this mean as an approach to business.
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.
The Role of Unions in an Agentic AI World
The upcoming rise of Agentic AI – AI that operates more like an independent worker than a traditional tool will fundamentally transform the landscape of work. This evolution prompts an important question: what role do unions play in a world where AI acts as a virtual employee?
HR’s Role in the World of Agentic AI: Shaping the Future of Virtual Employees
The world of AI is evolving rapidly, moving from passive tools to dynamic, “agentic” AI – technology that can operate autonomously, making decisions, interacting with employees, and handling tasks like a true virtual team member. While this shift brings exciting opportunities for efficiency it also brings new challenges for oversight, ethics, and integration into workplace culture. HR stands at the heart of this, ensuring that these “virtual employees” align with company values, policies, and workforce goals.
The GenAI Skills Gap Seems Real: Are most people just getting started?
Am I living in a GenAI echo chamber? While my LinkedIn feed overflows with the latest AI breakthroughs and ‘must-try’ features, my experience in the trenches tells a different story. As a volunteer leading GenAI projects, delivering prompt engineering training and talking about GenAI in the non-profit sector, I’ve witnessed a gulf between the breathless pace of AI innovation and how most people actually use these tools day-to-day. (I have to say that I have not noticed resistance, concern – yes, but not resistance and in all cases I see the ‘wow’ moment happen when people realise the possibilities and practical applications.)
Navigating AI Adoption on Azure: A Practical Framework to Get Started
I couldn’t believe the timing this week. As I’m working through the course material for the Microsoft AI Engineer exam a post dropped from Rajani Janaki Ram with a Framework on Adopting AI on Azure – brilliant! I thought I’d review the framework this week and what it means.