Daniel Gutierrez
@ddgutierrez.bsky.social
Data scientist, Principal AI Industry Analyst and Influencer - http://radicaldatascience.ai, having a blast teaching data science at UCLA #AI #DataScience #MachineLearning #Rstats
Prime Data Centers and Lambda Partner to Power the Next Era of Superintelligence with AI-Optimized Infrastructure in Southern California -- radicaldatascience.wordpress.com/2025/11/14/p...
#AI #DataCenters
#AI #DataCenters
Prime Data Centers and Lambda Partner to Power the Next Era of Superintelligence with AI-Optimized Infrastructure in Southern California
New deployment at LAX01, Vernon’s first AI-ready data center, delivers purpose-built, NVIDIA Blackwell infrastructure to accelerate the most advanced AI workloads Prime Data Centers, a leading inte…
radicaldatascience.wordpress.com
November 14, 2025 at 5:36 PM
Prime Data Centers and Lambda Partner to Power the Next Era of Superintelligence with AI-Optimized Infrastructure in Southern California -- radicaldatascience.wordpress.com/2025/11/14/p...
#AI #DataCenters
#AI #DataCenters
I still use R when I care about:
— statistical rigor
— quick EDA
— publication-ready graphics
Its design reflects how statisticians think, not just how coders write.
#DataScience #MachineLearning #AI #RStats
— statistical rigor
— quick EDA
— publication-ready graphics
Its design reflects how statisticians think, not just how coders write.
#DataScience #MachineLearning #AI #RStats
November 14, 2025 at 4:44 PM
I still use R when I care about:
— statistical rigor
— quick EDA
— publication-ready graphics
Its design reflects how statisticians think, not just how coders write.
#DataScience #MachineLearning #AI #RStats
— statistical rigor
— quick EDA
— publication-ready graphics
Its design reflects how statisticians think, not just how coders write.
#DataScience #MachineLearning #AI #RStats
Great new title written by University of Michigan analyst Christopher Gardner makes complex data architecture accessible for students and early-career IT professionals. Reads like a toolkit. Explains “why” and “how” the of logical data management wrt today’s AI use cases. #AI @oreilly.bsky.social
November 13, 2025 at 11:16 PM
Great new title written by University of Michigan analyst Christopher Gardner makes complex data architecture accessible for students and early-career IT professionals. Reads like a toolkit. Explains “why” and “how” the of logical data management wrt today’s AI use cases. #AI @oreilly.bsky.social
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
— unclear objectives
— ambiguous metrics
— political friction
Data doesn’t speak for itself. It needs a translator.
#DataScience #MachineLearning #AI #RStats
November 12, 2025 at 11:00 PM
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
— 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/a...
#AI #Security #SASE
#AI #Security #SASE
Aryaka Announces Unified SASE as a Service 2.0, Evolving Platform for Era of AI and Hybrid Workforce
Aryaka Unified SASE as a Service 2.0 introduces Universal ZTNA, AI>Secure, and other major new security capabilities Aryaka®, a leader in and first to deliver Unified SASE as a Service, today an…
radicaldatascience.wordpress.com
November 12, 2025 at 5:37 PM
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/a...
#AI #Security #SASE
#AI #Security #SASE
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
It’s in the clarity of its reasoning, and the trustworthiness of its assumptions.
#DataScience #MachineLearning #AI #RStats
November 11, 2025 at 8:56 PM
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
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/m...
#AI #RAG #graphdatabase
#AI #RAG #graphdatabase
Memgraph to Offer a Unique Toolkit for Non-Graph Users to Jumpstart Their Journey to Full GraphRAG AI Capability
New AI Graph Toolkit makes it 10x easier to port SQL and unstructured data into a knowledge graph Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time en…
radicaldatascience.wordpress.com
November 11, 2025 at 6:23 PM
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/m...
#AI #RAG #graphdatabase
#AI #RAG #graphdatabase
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
— Versioning issues
— Poor stakeholder alignment
— Lack of monitoring
Data science ≠ Kaggle. It’s shipping, integrating, maintaining.
#DataScience #MachineLearning #AI #RStats
November 10, 2025 at 5:23 PM
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
— 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/a...
#AI #GenAI #LLM #DataScience #MachineLearning
#AI #GenAI #LLM #DataScience #MachineLearning
AI News Briefs BULLETIN BOARD for November 2025
Welcome to the AI News Briefs Bulletin Board, a timely new channel bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language mod…
radicaldatascience.wordpress.com
November 7, 2025 at 10:14 PM
November is well under way with news galore! AI News Briefs BULLETIN BOARD for November 2025 -- radicaldatascience.wordpress.com/2025/11/07/a...
#AI #GenAI #LLM #DataScience #MachineLearning
#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/a...
#AI #OpenSource
#AI #OpenSource
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
aiOla, a voice-AI lab advancing speech recognition technology, is announcing Drax, an open-source AI model that brings flow-matching-based generative methods to speech. By rethinking how speech mod…
radicaldatascience.wordpress.com
November 7, 2025 at 5:29 PM
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/a...
#AI #OpenSource
#AI #OpenSource
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
For me: — PCA (until I mapped it to variance in rotation)
#DataScience #MachineLearning #RStats #SignalOverNoise
November 6, 2025 at 7:07 PM
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
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/a...
@microsoft.com #AI #cloud #azure
@microsoft.com #AI #cloud #azure
Anyscale Collaborates with Microsoft to Deliver AI-Native Computing on Azure
Co-developed by Anyscale and Microsoft, a new fully managed Microsoft Azure service—powered by Ray—delivers high performance, flexibility, and cloud-scale AI computing for enterprises. Anyscale ann…
radicaldatascience.wordpress.com
November 6, 2025 at 5:42 PM
Anyscale Collaborates with Microsoft to Deliver AI-Native Computing on Azure -- radicaldatascience.wordpress.com/2025/11/06/a...
@microsoft.com #AI #cloud #azure
@microsoft.com #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
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
November 5, 2025 at 11:41 PM
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
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/h...
#AI @hitachivantara.bsky.social
#AI @hitachivantara.bsky.social
Hitachi Vantara Unveils Hitachi iQ Studio to Simplify and Accelerate Agentic AI Development
New AI software builds on NVIDIA AI Data Platform reference design to enable organizations to design, deploy and govern AI agents with no-code tools, built-in blueprints and sovereign data control …
radicaldatascience.wordpress.com
November 5, 2025 at 5:38 PM
BREAKING TODAY! Hitachi Vantara Unveils Hitachi iQ Studio to Simplify and Accelerate Agentic AI Development -- radicaldatascience.wordpress.com/2025/11/05/h...
#AI @hitachivantara.bsky.social
#AI @hitachivantara.bsky.social
BREAKING TODAY! Snowflake Intelligence Brings Agentic AI to the Enterprise -- radicaldatascience.wordpress.com/2025/11/04/s...
#AI #AgenticAI
#AI #AgenticAI
Snowflake Intelligence Brings Agentic AI to the Enterprise
From Fortune 500 companies like Cisco, to global enterprises like Toyota Motor Europe, and sports teams like USA Bobsled/Skeleton Team, organizations in every industry are leveraging Snowflake Inte…
radicaldatascience.wordpress.com
November 4, 2025 at 6:02 PM
BREAKING TODAY! Snowflake Intelligence Brings Agentic AI to the Enterprise -- radicaldatascience.wordpress.com/2025/11/04/s...
#AI #AgenticAI
#AI #AgenticAI
BREAKING TODAY! mimic robotics raises $16 million to deploy frontier physical AI across industries -- radicaldatascience.wordpress.com/2025/11/03/m...
#AI #Robotics #PhysicalAI
#AI #Robotics #PhysicalAI
mimic robotics raises $16 million to deploy frontier physical AI across industries
Switzerland-based mimic has raised $16 million to deploy frontier physical AI for robots that can handle complex, dexterous tasks in manufacturing and logistics – positioning itself as the le…
radicaldatascience.wordpress.com
November 3, 2025 at 8:04 PM
BREAKING TODAY! mimic robotics raises $16 million to deploy frontier physical AI across industries -- radicaldatascience.wordpress.com/2025/11/03/m...
#AI #Robotics #PhysicalAI
#AI #Robotics #PhysicalAI
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
— Fast loading
— Strong stat packages
— Concise, readable syntax
For slicing truth from noise in tabular data, #RStats remains unmatched.
#AI #DataScience #MachineLearning
November 3, 2025 at 6:44 PM
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
— Fast loading
— Strong stat packages
— Concise, readable syntax
For slicing truth from noise in tabular data, #RStats remains unmatched.
#AI #DataScience #MachineLearning
AND THAT'S A WRAP for AI News Briefs BULLETIN BOARD for October 2025 -- radicaldatascience.wordpress.com/2025/10/30/a...
#AI #LLM #GenAI #DataScience #MachineLearning
#AI #LLM #GenAI #DataScience #MachineLearning
AI News Briefs BULLETIN BOARD for October 2025
Welcome to the AI News Briefs Bulletin Board, a timely new channel bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language mod…
radicaldatascience.wordpress.com
November 3, 2025 at 6:03 PM
AND THAT'S A WRAP for AI News Briefs BULLETIN BOARD for October 2025 -- radicaldatascience.wordpress.com/2025/10/30/a...
#AI #LLM #GenAI #DataScience #MachineLearning
#AI #LLM #GenAI #DataScience #MachineLearning
While editing the 2nd edition of my book, I kept trimming code and adding more explanation. Good code is useful. But understanding why it works—and when it fails—is what creates good data scientists.
#SignalOverNoise #DataScience #MachineLearning #RStats
#SignalOverNoise #DataScience #MachineLearning #RStats
October 31, 2025 at 6:23 PM
While editing the 2nd edition of my book, I kept trimming code and adding more explanation. Good code is useful. But understanding why it works—and when it fails—is what creates good data scientists.
#SignalOverNoise #DataScience #MachineLearning #RStats
#SignalOverNoise #DataScience #MachineLearning #RStats
App Orchid Launches New Conversational Analytics Agent With Continuous Semantic Enrichment for Benchmark-Breaking Accuracy -- radicaldatascience.wordpress.com/2025/10/30/a...
#AI
#AI
App Orchid Launches New Conversational Analytics Agent With Continuous Semantic Enrichment for Benchmark-Breaking Accuracy
Built on App Orchid’s semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, and enterprise trust. App Orchid, a leader in making data actionable, i…
radicaldatascience.wordpress.com
October 30, 2025 at 5:42 PM
App Orchid Launches New Conversational Analytics Agent With Continuous Semantic Enrichment for Benchmark-Breaking Accuracy -- radicaldatascience.wordpress.com/2025/10/30/a...
#AI
#AI
BREAKING TODAY! Token Security Launches Token Research to Deliver Actionable Insights into Agentic AI Security Risks -- radicaldatascience.wordpress.com/2025/10/29/t...
#AI #Security
#AI #Security
Token Security Launches Token Research to Deliver Actionable Insights into Agentic AI Security Risks
Unit will help protect organizations against emerging threats with vulnerability analysis, threat intelligence, and remediation guidance Token Security, a leader in Agentic AI and Non-Human Identi…
radicaldatascience.wordpress.com
October 29, 2025 at 7:19 PM
BREAKING TODAY! Token Security Launches Token Research to Deliver Actionable Insights into Agentic AI Security Risks -- radicaldatascience.wordpress.com/2025/10/29/t...
#AI #Security
#AI #Security