Remember when we used to install software from CDs? Then SaaS arrived and changed everything. Next, we’ll witness an even bigger revolution: AI agents transforming how business SaaS applications work. While Salesforce, Workday, and countless other platforms transformed how we work, their application layer could be replaced by intelligent agents that bypass interfaces altogether to work directly with you and your data. The applications will change dramatically, but your business data remains the constant foundation of value. Here’s why this seismic shift will reshape every industry and why you need to prepare.
Tag: BusinessInnovation
Unlocking Business Potential with Deep Research Models
In today’s business environment, staying ahead requires not only quick decision-making but also access to comprehensive, reliable information. GenAI Deep Research Models can help – they are AI driven tools designed to transform how businesses conduct in-depth research and analysis.
Generative AI in Project Management: Unlocking Efficiency and Innovation Across the Project Lifecycle
In today’s fast-paced business environment, Project Managers are continually seeking innovative tools to enhance efficiency and deliver successful outcomes and the Project Management Institute (PMI) seems to be stepping up.
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 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.)
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.
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.
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.