Following on from last weeks article on GenAI readiness assessments, to harness its full potential, organisations must adopt a strategic approach. Developing a Generative AI Roadmap is crucial to guide this journey effectively, no only for the GenAI solutions but the development of the systems and processes around GenAI to ensure it’s long term support.
Tag: EnterpriseAI
Unlocking the Power of Generative AI: Why Your Organisation Needs a Maturity and Readiness Assessment
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.
Clear GenAI Requirements in an RFP: The Bedrock of Successful AI Implementation
Organisations will turn to external partners for GenAI implementations and the success of your GenAI project depends heavily on the clarity of your requirements.
A well-prepared RFP with comprehensive requirements isn’t just bureaucratic paperwork – it’s your blueprint for AI implementation success. Let’s dive into some insights on creating requirements that will attract the right vendors and set your GenAI project up for success.
Your GenAI, Your Data: How Local Models Put You Back in Control
When discussing GenAI one concern that consistently comes up is a worry around using public models and what happens to my data – there are genuine concerns about data privacy and security when using public AI models. Luckily there are solutions that address these concerns that have been around for quite a while – Ollama , and Open WebUI – tools that empower organisations to run AI models on their own infrastructure.
The Death of SaaS as We Know It? Will AI Agents Eat Software?
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.
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 Risk and AI Management Formalised by NIST & ISO
These two subjects, with separate sections below are intertwined – understanding AI risk and the management of AI systems go hand in hand. Luckily NIST and ISO provide us with some tools to help with both.