Reading your LinkedIn posts for a while: Thanks for filtering this huge amount of AI topics from responsible AI perspective. I think it is a huge value for all of us engineers that you are not from a technical background. TMHO, implementing best practices from different point of views is always the best.
Thank you for your kind message and support! I'm glad that you find my perspective useful and especially happy to hear that he's useful for technical practitioners like yourself. I would greatly appreciate any feedback on what engineers would find most useful from such a blog.
From my experience SW and HW engineers don't like quality & regulatory topics very much. Often it seems to be 'dry', more legal-like, so, engineers easily drop such subjects. Your kind of writing is different, it has a technical touch, together with your diagrams and cheat sheets. It doesn't feel like reading and working about and with a Q&R topic which is mandatory to deal with, it is like dealing with an interesting, innovative technique. As a summary, it seems to be more poetry than legal :-) So, your writing makes us curious which is a big motivator.
Thank you for your support! I'm really happy to hear that the content is useful for your work. I'm working on some projects to put all of my work on AI governance together - watch this space!
Just came across this and subscribed. This is great and thanx for publishing this. This will be very useful for all Enterprise/Business Architects as they navigate their respective organizations through the AI space. Thanx again!
Hi Oliver, graduate of your AIGP Nov'23 cohort (thanks again!) and big fan of your cheat sheets, recommended reading lists and 4-tier literacy model. Out of curiosity, might you have a post in the pipeline about inventories - and how one might approach data capture in a way that's agile enough for a technology like AI (especially with 'agents' in the mix)? Thank you in advance!
You are a life-saver for those of us in the emerging AI Governance space
Many thanks for your kind words! Really glad you are finding the content useful :)
Reading your LinkedIn posts for a while: Thanks for filtering this huge amount of AI topics from responsible AI perspective. I think it is a huge value for all of us engineers that you are not from a technical background. TMHO, implementing best practices from different point of views is always the best.
Thank you for your kind message and support! I'm glad that you find my perspective useful and especially happy to hear that he's useful for technical practitioners like yourself. I would greatly appreciate any feedback on what engineers would find most useful from such a blog.
From my experience SW and HW engineers don't like quality & regulatory topics very much. Often it seems to be 'dry', more legal-like, so, engineers easily drop such subjects. Your kind of writing is different, it has a technical touch, together with your diagrams and cheat sheets. It doesn't feel like reading and working about and with a Q&R topic which is mandatory to deal with, it is like dealing with an interesting, innovative technique. As a summary, it seems to be more poetry than legal :-) So, your writing makes us curious which is a big motivator.
Your content is amazing and I keep it organised in a folder, having the option to receive in a newlestter is great - thanks for this!
Thank you for your support! I'm really happy to hear that the content is useful for your work. I'm working on some projects to put all of my work on AI governance together - watch this space!
Just came across this and subscribed. This is great and thanx for publishing this. This will be very useful for all Enterprise/Business Architects as they navigate their respective organizations through the AI space. Thanx again!
Thank you for all you do
Hi Oliver, graduate of your AIGP Nov'23 cohort (thanks again!) and big fan of your cheat sheets, recommended reading lists and 4-tier literacy model. Out of curiosity, might you have a post in the pipeline about inventories - and how one might approach data capture in a way that's agile enough for a technology like AI (especially with 'agents' in the mix)? Thank you in advance!