Delivering AI-ready data is harder than ever — too many tools, manual code, and pipelines that don’t scale. Join Databricks’ Bilal Aslam and Simon Whiteley, CTO at @AdvAnalyticsUK
, to see how a unified, declarative platform helps you:
– Replace repetitive code with tested
DATA
-
Databricks Unified Platform Simplifies AI-Ready Data Delivery
By
–
-
India Strengthens AI Mission Through Capacity-Building Partnership
By
–
Strengthening India’s AI Mission for an inclusive & impact-driven tech ecosystem! @OfficialINDIAai Mission and DataDotOrg have formalised an MoU to empower and accelerate capacity-building initiatives. #IndiaAI #CapacityBuilding #AIInnovation #DigitalIndia #AIForGood
-
AI Agent Operating Costs Real Data 2025
By
–
He publicado un episodio en @ivoox
: "Esto es lo que cuesta mantener un agente de IA (datos reales para 2025) #podcast -
Bayesian Modeling and Computation in Python Book Available Now
By
–
“Bayesian Modeling and Computation in #Python” available at http://
amzn.to/3K15NQo
—————
#Statistics #Mathematics #Probability #MachineLearning #DataScience #Inference #ComputationalScience #Simulation #coding #DataScientist -
Gender Bias in AI: Building More Equitable Systems
By
–
As AI learns from our world, it also inherits our societal blind spots. In this feature, we dissect the AI lifecycle to reveal how gender bias becomes encoded and what AI builders can do to create more equitable systems.
-
Data’s role in solving robotics and automation challenges
By
–
“Data will solve robotics and automation: True or false?”: A debate. Held @ieee_ras_icra #ICRA2025 and featuring BAIR faculty @Ken_Goldberg and BAIR alumnus @animesh_garg
. -
Engineering closes 100,000-year data gap in robotics
By
–
New @SciRobotics editorial by BAIR Faculty @Ken_Goldberg
: Good old-fashioned engineering can close the 100,000-year “data gap” in robotics -
Training Data Evolution: Internet Text to Supervised Conversations
By
–
In era of pretraining, what mattered was internet text. You'd primarily want a large, diverse, high quality collection of internet documents to learn from.
— Andrej Karpathy (@karpathy) 27 août 2025
In era of supervised finetuning, it was conversations. Contract workers are hired to create answers for questions, a bit… https://t.co/rR6yYZGgKPIn era of pretraining, what mattered was internet text. You'd primarily want a large, diverse, high quality collection of internet documents to learn from. In era of supervised finetuning, it was conversations. Contract workers are hired to create answers for questions, a bit
-
Centralized observability stack accelerates critical log data analysis
By
–
Even if you don’t speak fluent engineer, you’ll want to hear this: To keep up with our massive amount of log data, we overhauled our logging system to find critical answers in seconds, not minutes. This shift to a centralized observability stack gives our engineers the
-
Code vs Data: The Future of Robotics Debate
By
–
Will the future of robotics be written in code or in data? A debate at ICRA among MIT profs. & their international colleagues revealed that we'll probably need both to unlock robots' real-world potential — but which takes the lead, & when, isn't clear yet: