Daniel D. Gutierrez
@AMULETAnalytics
Data Scientist | Principal AI Industry Analyst & Influencer | Having a blast teaching Data Science at UCLA | Author of 4 data books | Academic at heart!
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GenAI makes it easy to generate. It doesn’t make it easy to be right. Fluency isn’t accuracy. Reliability comes from grounding, feedback loops, and deep system integration—not temperature settings. #AI #LLM #GenAI
Memgraph just announced two new tools specifically architected to open up the power of Retrieval-Augmented Generation based on graph technology (GraphRAG), to the entire database market, so democratizing #GraphRAG access - radicaldatascience.wordpress.com/2025/11/11/mem… @memgraphdb #AI #Database
Most “data science” jobs don’t fail at the modeling stage. They fail at the: — unclear objectives — ambiguous metrics — political friction Data doesn’t speak for itself. It needs a translator. #DataScience #MachineLearning #AI #RStats
BREAKING TODAY! Aryaka Announces Unified SASE as a Service 2.0, Evolving Platform for Era of AI and Hybrid Workforce -- radicaldatascience.wordpress.com/2025/11/12/ary… #AI #Security #SASE @AryakaNetworks
While editing the new edition of my book, I kept coming back to this: The real value isn’t in the model’s accuracy. It’s in the clarity of its reasoning, and the trustworthiness of its assumptions. #DataScience #MachineLearning #AI #RStats
BREAKING TODAY! Memgraph to Offer a Unique Toolkit for Non-Graph Users to Jumpstart Their Journey to Full GraphRAG AI Capability -- radicaldatascience.wordpress.com/2025/11/11/mem… #AI #RAG #graphdatabase @memgraphdb
Most ML failures aren’t technical. They’re: — Versioning issues — Poor stakeholder alignment — Lack of monitoring Data science ≠ Kaggle. It’s shipping, integrating, maintaining. #DataScience #MachineLearning #AI #RStats
November is well under way with news galore! AI News Briefs BULLETIN BOARD for November 2025 -- radicaldatascience.wordpress.com/2025/11/07/ai-… #AI #GenAI #LLM #DataScience #MachineLearning
aiOla unveils Drax, an open-source speech model with state-of-the-art accuracy and up to 5× faster than models from OpenAI and Alibaba -- radicaldatascience.wordpress.com/2025/11/07/aio… @_aiOla #AI #OpenSource
LLMs don’t “understand” text. They predict the next token. The illusion of fluency can conceal failure modes: — Calibration — Attribution — Security Understanding how they work is critical to knowing when they fail. #AI #GenAI #LLM
Data science today = “deriving insights from messy data!” Yea, I’ll buy it. #DataScience @DataJunkie
What’s one model, concept, or technique you once struggled with—until one key example unlocked it? For me: — PCA (until I mapped it to variance in rotation) #DataScience #MachineLearning #RStats #SignalOverNoise
Anyscale Collaborates with Microsoft to Deliver AI-Native Computing on Azure -- radicaldatascience.wordpress.com/2025/11/06/any… @anyscalecompute @Microsoft #AI #cloud #azure
I’ve taught dozens of intro data science courses. The hardest concept isn’t regression or classification. It’s thinking conditionally. — "Given X, then Y." — "Controlling for Z…" Statistical reasoning is harder than syntax. #DataScience #MachineLearning #Statistics #AI
BREAKING TODAY! Hitachi Vantara Unveils Hitachi iQ Studio to Simplify and Accelerate Agentic AI Development -- radicaldatascience.wordpress.com/2025/11/05/hit… #AI @HitachiVantara
My new field guide to alternatives to standard LLMs: Gated DeltaNet hybrids (Qwen3-Next, Kimi Linear), text diffusion, code world models, and small reasoning transformers. magazine.sebastianraschka.com/p/beyond-stand…
The GenAI gold rush is shifting. It’s no longer about training frontier models—it's about: — Specialized inference stacks — Efficient fine-tuning — Enterprise guardrails Winning isn’t scale alone. It’s control. #AI #LLM #GenAI
BREAKING TODAY! Snowflake Intelligence Brings Agentic AI to the Enterprise -- radicaldatascience.wordpress.com/2025/11/04/sno… #AI #AgenticAI @Snowflake
BREAKING TODAY! mimic robotics raises $16 million to deploy frontier physical AI across industries -- radicaldatascience.wordpress.com/2025/11/03/mim… #AI #Robotics #PhysicalAI @mimicRobots
R is still the most productive environment for exploratory data analysis. — Fast loading — Strong stat packages — Concise, readable syntax For slicing truth from noise in tabular data, #RStats remains unmatched. #AI #DataScience #MachineLearning
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