As organizations democratize their data, there’s increasing demand for users to better understand and work with data. This self-paced training walks through how to get started with SQL Analytics and BI on the Databricks. Learn how to:
– Use Databricks SQL for exploratory data
DATA
-
Getting Started with SQL Analytics and BI on Databricks
By
–
-
SAS Named Category Leader in Model Risk Management Solutions
By
–
Eleven years, and counting . Chartis names SAS a category leader in its Model Risk Management Solutions, 2024 report! Among 19 vendors evaluated in the model governance solutions quadrant, just one was rated best-in-class for 5 separate criteria: SAS. http://
2.sas.com/6183xltBB -
Top 3 IT Mistakes to Avoid in 2025
By
–
The Top 3 IT Mistakes People Will Make In 2025 Avoid These IT Mistakes in 2025! Don’t let these three critical errors sink your business: Unauthorized AI tools: Stop sensitive data from leaking into public models. Poor data quality: Clean up those data swamps.
-
UK Data Use and Access Bill: Finding Previous Version Pre-Amendments
By
–
Does anyone have a link to the U.K.'s previous Data (Use and Access) Bill, prior to the amendments? I can't seem to find the controversial bit anymore since it was discussed… (The last version is looking quite good, TBH.)
-
AI Integration Coming to NVIDIA Snowflake and Databricks
By
–
6/6: Coming soon to NVIDIA, Snowflake, and Databricks.
-
Data Literacy in an AI-Driven Digital World
By
–
#Data Literacy in an #AI-Driven #Digital World
by @BetaMoroney Read more: https://
buff.ly/3BqwOO9 #DataScience #ArtificialIntelligence #MachineLearning #DeepLearning cc: @gp_pulipaka @kirkdborne @yuhelenyu -
Crowdsourced Distributed Fine-Tuning: A Year-Long Advocacy
By
–
I've been arguing for something like this for over a year: crowdsourced distributed fine-tuning.
-
OpenAI’s Hypocrisy: Unauthorized Data Collection Practices Criticized
By
–
One of the few sane outlets… "It is…ironic that OpenAI, a company that has been obtaining large amounts of data from all of humankind…in an “unauthorized manner,”…is now complaining about the…practices by which it…built its company.
-
Scaling Reasoning Models: From Thousands to Millions of GPUs
By
–
This is the interesting bit. As we move to the next phase of scaling reasoning models w RL, data and compute converge. Next breakthroughs require moving from 100’000’s of GPUs to millions of GPUs.
-
Human Annotations Critical for LLM Training Data Flywheel
By
–
The importance of human annotations Human annotations on LLM outputs/trajectories are crucial for getting the data flywheel turning Decagon called this out as a key component of their AI agent platform. Learn more about it NEXT TUESDAY https://
lu.ma/w7y0bqwr