AI eval isn’t one-size-fits-all. Meet Snorkel Evaluate: custom benchmarks, specialized grading & fine-grained insights. http://
snorkel.ai/LaunchEvent
DATA
-

Snorkel Evaluate: Custom AI Benchmarks and Specialized Grading
By
–
-

LangSmith Custom Views for Evaluation Results
By
–
📊 You can now create custom views to highlight important information when viewing evaluation results in LangSmith:
— LangChain (@LangChain) 1 juillet 2025
– Break out fields from inputs, outputs, and reference outputs into their own columns. Especially helpful if you have long inputs/outputs/ref outputs and want to… pic.twitter.com/A3x24lLjV4You can now create custom views to highlight important information when viewing evaluation results in LangSmith: – Break out fields from inputs, outputs, and reference outputs into their own columns. Especially helpful if you have long inputs/outputs/ref outputs and want to
-
Modern Recommendation Systems: Reinforcement Learning vs Single-Step Transactions
By
–
Are modern recommendation systems treated like a reinforcement learning problem, with a sum of discounted future rewards, or as strictly single step transactions? Many products do significant offline data analysis on actions taken to inform changes, but it seems under
-

AI-Driven Time Studies Transform Industrial Operations
By
–
Benefits of AI-Driven Time Studies >> https://
buff.ly/haKmKA3 (Image Source: Retrocausal) #sponsored #retrocausal_iiot #AI #Industry40 @IIoT_World @SpirosMargaris @kdnuggets via @fogoros -
Better AI in 2025 Powered by Real-Time Data
By
–
Expect Better AI In 2025, Fueled By Real-Time Data
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @fabiomoioli @pascal_bornet @alliekmiller @mattshumer_ @OfficialLoganK @jeremyphoward @GaryMarcus http://
ow.ly/VPge30sNAO1 -
AI Data Clearinghouse: Foundation for Enterprise AI Strategy
By
–
Most AI strategies skip a key step, and it’s costing companies big. Alteryx CEO @apmacmillan breaks down why an AI Data Clearinghouse is the foundation for trustworthy, scalable AI in @FastCompany
: https://
ow.ly/IWcv50WgaoO #AI #DataStrategy #EnterpriseAI #Alteryx -

Banking Personalization Builds Trust Through Data Strategy
By
–
Personalization in banking should not just chase efficiency. When done thoughtfully with data, it opens a path to restoring trust through relevance, precision, and a deeper understanding of each customer's unique financial journey. Microblog by @antgrasso #DataStrategy #Finance
-
Autonomous AI Systems at Scale: Project44 Architecture Analysis
By
–
The real innovation lies in designing systems that can act on data with autonomy and context—my analysis on project44 shows how intelligence at scale is no longer an ambition, but a working architecture.
-

Graph Data Modeling with Python: Practical Guide for Data Scientists
By
–
Graph Data Modeling with #Python — A practical guide to curating, analyzing, and modeling data with graphs: http://
amzn.to/3PYxCPF v/ @PacktPublishing ——
#DataScience #GraphDB #LinkedData #AI #MachineLearning #DataScientist
——
𝒦𝑒𝓎 𝐹𝑒𝒶𝓉𝓊𝓇𝑒𝓈: Transform relational -

Building Neo4j-Powered Applications with LLMs and AI Frameworks
By
–
New from @PacktDataML >> "Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI" Available at http://
amzn.to/4l9lLKO