Daniel Gutierrez
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ddgutierrez.bsky.social
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
I’ll say it again: #RStats is still the best language for statistical modeling, especially in applied settings. Why?
— Native support for inference
— Elegant formulas
— Visual diagnostics baked into the workflow

#DataScience #MachineLearning
November 25, 2025 at 9:52 PM
We’re now beyond GenAI as a novelty. The frontier:
— Alignment with real tasks
— Memory + context integration
— Traceability
The next wave isn’t smarter LLMs—it’s smarter interfaces.

#AI #GenAI #LLM
November 24, 2025 at 5:48 PM
Classiq and BQP Demonstrate Hybrid Quantum-Classical Breakthrough for Scalable Digital Twin and CFD Simulation with NVIDIA -- radicaldatascience.wordpress.com/2025/11/21/c...

#quantum
Classiq and BQP Demonstrate Hybrid Quantum-Classical Breakthrough for Scalable Digital Twin and CFD Simulation with NVIDIA
Classiq, a leader for quantum computing software, announced a joint demonstration with BQP and NVIDIA that showcases an advancement in hybrid quantum-classical simulation for digital twin and compu…
radicaldatascience.wordpress.com
November 21, 2025 at 6:29 PM
You don’t need deep learning for every problem. You need:
— Clean data
— Clear framing
— Honest evaluation
Simplicity scales better than complexity that no one trusts.

#DataScience #MachineLearning #AI #RStats
November 21, 2025 at 5:25 PM
Editing my book has reminded me: We don't teach enough about model degradation over time. Even a perfect model will fade without maintenance. Model performance is not a destination—it’s a decaying asset.

#AI #DataScience #MachineLearning #RStats
November 20, 2025 at 7:15 PM
Students often ask: “Is this model good enough?”
My reply: “For what?” AUC, precision, F1—none of them matter unless you know what decision you're informing. Always tie metrics to action.

#DataScience #MachineLearning #AI #RStats
November 20, 2025 at 12:57 AM
Is the Pliops × Zilliz Collaboration Compelling for the AI Industry? -- medium.com/@ddgutierrez...

#AI #GenAI #LLM #RAG
Is the Pliops × Zilliz Collaboration Compelling for the AI Industry?
The emerging collaboration between Pliops and Zilliz is well-timed and strategically significant in the current GenAI landscape. As…
medium.com
November 18, 2025 at 6:08 PM
The GenAI ecosystem is becoming modular:
— Model providers
— Vector DBs
— Prompt routers
— Toolchains
In 2026, the competitive edge won’t be in building the model—it’ll be in owning the workflow.

#AI #GenAI #LLM
November 18, 2025 at 5:27 PM
Creating buzz at #SC25! Redefining KV-Cache Offload: How to enable cost-effective scaling for LLMs - pliops.com/how-pliops-l...

#AI #GenAI #RAG #LLM
How Pliops LightningAI Redefines KV-Cache Offloading for Scalable GenAI | Pliops LightningAI
Learn about the data storage industry. Read more: How Pliops LightningAI Redefines KV-Cache Offloading for Scalable GenAI
pliops.com
November 18, 2025 at 5:20 PM
What’s the most underused function in base R that you still reach for? For me: table() — fast, simple, and always reveals something.

#RStats #DataScience #MachineLearning #AI
November 18, 2025 at 3:18 AM
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
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
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
November 14, 2025 at 4:44 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
November 13, 2025 at 11:16 PM
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
November 13, 2025 at 6:16 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
November 12, 2025 at 11:00 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
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
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
November 11, 2025 at 8:56 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
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
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 10, 2025 at 5:23 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
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