Generative AI (GenAI) is full of potential, but like any rapidly evolving technology, it carries the risk of technical debt. Making the right decisions now can prevent future headaches. Let’s explore how you can be shrewd about your GenAI investments.
Author: Steve Harris
How AWS, IBM, Google, and Microsoft Are Shaping the Future of Business (AIaaS)
After completing certifications in the various platforms from IBM, Amazon Web Services (AWS), Microsoft and Google I wanted to take a high level look at what these platforms really mean for organisations. These organisations are offering powerful AI platforms that provide a way to access AI functionality without having to develop and run your own infrastructure and manage your own AI deployments.
LLM Security – The OWASP Top 10 for LLMs & What You Need to Know
As AI continues to revolutionise industries, understanding and mitigating the security challenges around large language models (LLM’s) is critical. The OWASP Top 10 for LLM’s is a comprehensive guide to the most pressing risks faced by these models.
There is value in that unstructured data.
For quite some time I have been concerned about the unrealised value in unstructured data – the myriad of Word documents and PDF’s that contain everything from organisational policies to processes and reports (we aren’t talking about video, images and audio in this article). This increasing amount of unstructured data and the ability to absorb it is one of the things that increases the time that new hires take to become effective or means that a policy (if not encapsulated within a system) does not get adhered to.
Beyond ChatGPT 4.0: Meet the Next Step in AI Assistance
(This week is an experiment to see what you think about the new ChatGPT o1-preview model output. I iterated through prompts to ask o1-preview to introduce itself and explain its abilities using my usual article format. The title of this article and all of the main article text below are 100% generated by the o1-preview model. What do you think? My opinion is at the end. For the record it took 29 seconds to generate the content.)
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.
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.
Case Study: GenAI Unlocks Insights from Non-Profit Survey Data
In niche non-profit grant-making, informed decisions are essential. Relying on accurate data helps align granting strategies with the organisation mission, vision, and goals, as well as addressing community funding gaps.
From AI Pilots to Enterprise-Wide Deployment: A Playbook for Success – An MIT Perspective
As organisations strive to scale AI across their operations, a new playbook from Massachusetts Institute of Technology emerges for those ready to bridge the gap between ambition and execution.
Elevating Software Development with AI Companions: My Game-Changing Experience with Codeium
I needed a small utility to search using the Google custom search API and then submit the results to ChatGPT’s API for summarising; I leveraged the power of the AI coding companion, Codeium for the first time (in VSCode and Python). This combination truly improved my development experience, making it a lot more efficient and enjoyable, auto-completing code, generating explanations and providing in code documentation. Digging a little deeper …