This is also mighty interesting in terms of #sustainability and AI.
In 2020, Microsoft was on track to be carbon-neutral by 2030.
Three years later, though, and they were emitting 30% more carbon, inverting the trend.
What happened?
#genai!
The need to build data centers (steel and cement contribute a lot to your carbon emissions, turns out) reversed their course and might fatally compromise their green ambitions.
Ouch!
Credits to Bloomberg for the visuals!
#sustainability tip: don’t use ChatGPT when Google could give you the answer!
A Google search costs up to 1.08kJ. A ChatGPT-4 request in the range of 3.6-36 kJ.
So that’s 3-36 times more energy that you would be spending — and often you can skip the hallucination and the source-checking: it’s often already there when you Google it
I’d love to get my hands on the raw data for this graph showing the decline of the number of mentions of #esg, #dei, and #diversity and #inclusion during earning calls.
If you read my previous post (https://www.linkedin.com/posts/giovanni-lanzani-19561824_i-often-talk-with-clients-about-how-knowledge-activity-7181997875189403648-TRWE?utm_source=share&utm_medium=member_desktop) about the amount of knowledge-sharing we have done, you might be left thinking that…it’s a lot!
However, I didn’t tell the whole story because LinkedIn limits the number of characters a post can have.
So here’s a follow-up: in Q1, besides everything else, we also published a book with Packt:
Fundamentals of Analytics Engineering: An introduction to building end-to-end analytics solutions
Interested? Read more! 👇🏼
https://xebia.com/books/fundamentals-of-analytics-engineering/
Fantastic LLM song, via https://mathstodon.xyz/@andrewt/112380073199982452
Bleak outlook for #genai
“the AI industry spent $50 billion on the Nvidia chips used to train advanced AI models last year, but brought in only $3 billion in revenue.”
And this excludes the energy spent to train those models.
http://www.antipope.org/charlie/blog-static/2024/04/the-radiant-future-of-1995.html
I still remember two years ago when Rob Dielemans and I were thinking of opening a Xebia Data office in Zürich.
And look where we are now, two years later: not only do we have a thriving team led by Laura Galamb and Jonas Dischl, but we are also the founding members of the Data & AI Leadership Day in Zürich.
And, as founding members, we couldn’t be more excited to announce the second edition of THE conference dedicated to #cloud, #data, and #ai in the Alps.
Join us on June 19 to engage with experts, network with CTOs, CIOs, VPs, and other senior leaders from international organizations, and enjoy the beautiful city.
Want to be there? Use discount code join-xebia@CLDDALD24 to get 20% off your ticket 👉 https://xebia.ai/data-ai-leadership-zurich
#CloudLeadership #DataLeadership #AiLeadership #TechEvent #Zurich
Fascinating article on the effects of cheap labor on the language AI tools use!
Wow, time flies. It seems it was just yesterday when we announced the first edition!
I often talk with clients about how knowledge sharing is one of our core values.
They’re often curious to hear whether we walk the talk or if we’re all empty promises.
So, as a resolution going forward, I’ll try to write down regularly what we do from Xebia Data. Brace yourself: long post ahead!
Since January, here’s a concise list of our knowledge-sharing activities:
Blogs? Yes!
