It tracks entities and relations through a graph structure, so updates merge context instead of replacing it. That’s what keeps long-term memory consistent over multiple sessions.
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SQL meets semantic understanding flexibility innovation
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Love how this keeps the control of SQL while adding the flexibility of semantic understanding. Great share Akshay!
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Lenovo Leverages AI Databricks Supply Chain Intelligence Platform
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What does it take to run a global supply chain powered by AI? For @Lenovo
, it meant unifying data and streamlining operations. “Leveraging Databricks, we can bring supply chain intelligence to another level by collecting information into the platform. We could also reactively -
AI-Powered Disease Models Transform Pharma Data Into Actionable Insights
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Data is exploding, but insights aren’t keeping pace—AI can change that. @Cytoreason is using AI-powered disease models to help pharma leaders turn complex biological data into actionable insights. On today’s episode of the NVIDIA AI Podcast, co-founder Shai Shen-Orr shares
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SAS Skill Builder Offers Free Data Skills Training for Students
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Ready to level up your resume this semester? With SAS Skill Builder for Students, you get free, flexible learning to boost your data skills on your own schedule. Take that next step toward your career goals: http://
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Exploring Structural Equation Models for AI Analysis
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Exploring Structural Equation Model (SEM). Looks interesting.
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TreeSynth: Diverse Data Synthesis via Tree-Guided Subspace Partitioning
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#PapersAccepted by Jiqizhixin
Our report: https://
mp.weixin.qq.com/s/fp29jkzxBL7S
ku4tqlvGPw
… TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning The University of Hong Kong, The Chinese University of Hong Kong
Paper: https://
arxiv.org/abs/2503.17195
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SAS Data AI Impact Report Trust Findings Expert Panel
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SAS recently unveiled the Data and AI Impact Report: The Trust Imperative and we assembled a panel of AI experts from SAS, Deloitte, and IDC to unpack the results. Missed the live session? Watch it on-demand and see what the experts had to say about the most interesting findings:
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SAS AI Machine Learning Skills Fest: Free Virtual Event November
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Take your analytics skills further with the SAS AI and Machine Learning Skills Fest. 3 days of live sessions on ML, visual analytics, ethics in AI & more Free, virtual event with expert Q&A Nov. 12–14 | Starts 10 a.m. ET Save your seat: http://
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Proprietary Data Essential for Meaningful Model Evaluation Beyond Public Benchmarks
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I’d say using publicly available benchmarks and data are basically just sanity checks. As I mentioned mentioned in the conclusion, ideally you want/need to set up the eval with proprietary data that is related to your business problem, to make sure the performance is not due to