This is also mighty interesting in terms of hashtag#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?
hashtag#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.
hashtag#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 hashtag#esg, hashtag#dei, and hashtag#diversity and hashtag#inclusion during earning calls.
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 hashtag#cloud, hashtag#data, and hashtag#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.
Distributed hashtag#machinelearning has mainly two flavors: model and data parallelism.
Each has its own approach and output.
My colleague Nitin Bhushan will tackle the first approach, model parallelism, leveraging Apache Spark, in his upcoming workshop during the Data Learning week.
The session is tuned for anyone starting out with distributed ML for the first time and for the folks looking to enhance their understanding of scaling learning models with Apache Spark.
Register 👇🏼 to be electrified by our electrical engineer in residence, Nitin!
