(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.)
Category: AI In Business
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.
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.
Deploying AI: What Nobody Seems to be Putting Together
No surprise – it’s a (‘it’ in this case being the deployment of AI from a corporate perspective) a challenge and an opportunity. From the Artificial Intelligence perspective, businesses have access to a variety of tools and frameworks designed to facilitate AI adoption….that often operate in silos.
Navigating the AI Frontier: What Canada’s AIDA Regulation Means for Your Business
As AI continues to reshape industries and societies, governments worldwide are grappling with how to regulate this transformative technology. Canada has taken a significant step forward with the proposed Artificial Intelligence and Data Act (AIDA). This article investigates what AIDA could mean for businesses and how to prepare for its implementation.