It's out! After hundreds of hours of work, excited to publish the TENTH annual MAD (Machine Learning, AI & Data) Landscape. 🔥🔥🔥
The OG of data/AI market maps is back, bigger than ever lol
24 themes we're thinking about in 2024
w/ @AmanKabeer11mattturck.com/mad2024/
🔥Here it is! 🔥
After 100’s of hours of research and writing, excited to release the 2023 ***MAD*** Landscape (Machine Learning, Artificial Intelligence and Data)
A year full of drama in the ecosystem
👇👇👇
mattturck.com/mad2023/
🪩The @stateofai 2022 is live!🪩
In its 5th year, the #stateofai report condenses what you *need* to know in AI research, industry, safety, and politics. This open-access report is our contribution to the AI ecosystem.
Here's my director's cut 🧵:
stateof.ai
Validate data replication.
Compare 100M row data bases against each other to see where they differ in seconds.
Datafold has launched an open source data-diff to give every company the ability to diff their data across databases.
datafold.com/blog/open-sourc…
For those who like to listen to interviews & not see them, please listen to our latest podcast here bit.ly/3tK0kYy.
We discuss Google LaMDA - what could have happened, the trend it created & how it could impact hiring.
@Rk_here@anannya
While that's something not for us to judge, we talk to our Head Data Science, @Rk_here, to understand whether this could be true, the trends it could lead to & the way it can impact hirings made today.
He speaks to @anannya, our Content Head
bit.ly/3tEmdsg
Why do organizations need to focus on new skill sets, mitigate the need for re-skilling and up-skilling, and focus on providing the right kind of skill set for people to learn? @Rk_here, Head - Data Science, speaks to @anannya, Content Head, @getedge_ai - youtu.be/c1whpeZuF6E
The 2021 AI Index Report - a thread: this year we significantly expanded the amount of data available in the report and worked with a broader set of external organizations to calibrate our data. Here are the top 9 takeaways:
Are you trying to visualize your deep network just 2 days before the #CVPR2021 deadline? Here are some pretty alternatives to boring tensorboard graphs. (1/n)