How are teams using AI agents to automate data science workflows?
I am exploring how AI agents can support modern data science workflows by automating repetitive tasks and improving collaboration between data teams. Some potential use cases: Automating data exploration and preprocessing steps Generating insights from datasets using natural language queries Assisting with feature engineering and model evaluation Triggering ML pipelines based on business events Monitoring model performance and identifying data quality issues I would like to understand how data science teams are combining Microsoft Fabric, notebooks, ML workflows, and AI agents in real-world projects. What approaches, tools, or architecture patterns are you using for AI-assisted data science workflows?Certificate validation error between Fabric and Huggingface
Hi, I'm tyring to download a couple of transformer/sentence-transformer model weights into a notebook and I keep running into certificate mismatch issues between fabric and huggingface. I was wondering if anyone else has ran into this issue or if this is a known issue that Microsoft plans on handling in the very near future? Environment Microsoft Fabric Notebook (PySpark) Python 3.11 PyTorch 2.2.1 Canada tenant sentence-transformers==2.7.0 successfully installed What works Package installation succeeds %pip install sentence-transformers==2.7.0 Import succeeds from sentence_transformers import SentenceTransformer version check succeeds import torch import sentence_transformers print(torch.__version__) print(sentence_transformers.__version__) What fails from sentence_transformers import SentenceTransformer model = SentenceTransformer("all-MiniLM-L6-v2") Or Observations The notebook appears able to reach Hugging Face and download metadata files. For example, the following files are successfully cached: config.json config_sentence_transformers.json modules.json README.md sentence_bert_config.json However, the model weight file never downloads. The Hugging Face cache contains *.incomplete with a file size of 0 MB. Error The relevant error message appears to be "No CA certificates were loaded from the system" Is downloading Hugging Face model weights from Fabric notebooks currently supported? If so, is there a known issue with certificate validation? Is there a recommended workaround? If not. then is there a recommended approach for generating semantic text embeddings within Fabric notebooks utilizing some kind of ANN based algorithm instead of classic techniques such as TF-IDF or SVD followed by some type of clustering? The goal of this notebook is semantic clustering of approximately 500 short "type" descriptions for taxonomy development. Thanks!A Typo when granting access in the Notebook (Korean)
Hi Team, When I tried to assign a direct permission in the Notebook, I found a typo in the label of Grant access people window: 이 노트북에 대한 읽기 읽기 권한을 다음 수신자에게 부여합니다. You are granting read permissions to this notebook to the following recipients. That should be “읽기”. That was corrected incorrectly. I will submit a support ticket. Korean English Thanks, HongA Typo in the tooltip text for AutoSave on the notebook (Korean)
Hi Team, When I hovering over AutoSave in the notebook, I noticed a typo in the tooltip text: “전자 필기장”. The “전자 필기장” issue has already been fixed, but it is still visible. That should be “노트북”. I will submit a support ticket. Korean English Thanks, HongA Typo about Notebook in the Connections of Notebook (Korean)
Hi Team, With Fabric January update, we can add connections like Azure Blob. When I tried to add a connection in my notebook, I noticed a typo in the connections: “전자 필기장”. We can see “노트북(Notebook) in Fabric and Power BI, but we can still see “전자 필기장”. That should be “노트북”. I will submit a support ticket. Korean English Thanks, HongA Typo in the AI function of Microsoft Learn documentation (Korean)
Hi Team, When I opened Microsoft Learn documentation for AI function, I found typos in the documentation. The same applies to other AI function documentation. That should be modified as follows: Syntax -> 구문 반품(Returns) -> 반환 Example -> 예제 Korean pandas와 함께 ai.classify 사용 - Microsoft Fabric | Microsoft Learn English Use ai.classify with pandas - Microsoft Fabric | Microsoft Learn Thanks, Hong
