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: AIGovernance
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.
The Rise of Shadow GenAI and the Risk of Technical Debt
I have written previously about technical debt and GenAI choices and when you add on Shadow GenAI the situation becomes even more complex. The accessibility of Generative AI (GenAI) tools means that everyone can innovate like never before. However, this surge in un-monitored GenAI usage, often referred to as “Shadow AI”, combined with GenAI only now starting to come down from the ‘Peak of Inflated Expectations’ can lead to significant challenges, including the accumulation of technical debt within organisations.
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.
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.
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.
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.
ISACA Announces AI Audit Toolkit: What You Need to Know and Why it’s Good for System Design…
In a significant move to bolster AI governance and compliance, ISACA has unveiled its AI Audit Toolkit. This toolkit is designed to help organisations navigate the complexities of auditing AI systems, providing a structured approach to assess and ensure their AI technologies are both effective and ethically sound. Although focused on Audit, why not use it to help drive design work?