Overview AI Safety is emerging as one of the most critical areas in technology today. While AI Governance often gets the spotlight, governance is just one part of a much broader framework. AI Safet...

Overview When technical teams talk about guardrails, they usually mean input/output restrictions, structured output validation (e.g., using libraries), or filters that prevent unsafe responses. T...

GenAI-Enabled Hyper-Personalization: A Hybrid Approach As Generative AI continues to redefine what’s possible in personalization and user engagement, a compelling opportunity emerges in recommenda...

China’s Gen AI Ecosystem Explained: Baidu, Alibaba, ByteDance, iFlytek, DeepSeek What’s Mature, What’s Hype – A Practical Breakdown for Global AI Professionals Over the past year, China has emerge...

AI Deployment, Governance, and Risk Management: The Continuum of Operational Data and AI While massive investments are being made in Data and AI to extract business value, Deployment, Governance, ...

How to gather, qualify and prioritise the Data and AI use cases? As soon as you start defining your Data and AI strategy, organization will need to start gathering use cases. As strategy only as g...

I’ve been actively keeping up with GCP data technologies since earning my certification in 2019. Over the past two years, the GCP data ecosystem has evolved rapidly, with the introduction of new se...

Setting up a GitHub blog took me quite a bit of time when I first tried it. But if you follow this guide carefully, you can probably have your blog running in just 10 minutes! I’m using the amazin...

What Does a Data and AI Strategy Do? Data and AI strategy has become a regular item on the agendas of senior leadership teams — and for good reason. But despite the attention, it often remains vag...