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Artwork for Data Science With Sam

Data Science With Sam

Soumava Dey
Artificial Intelligence
Openclaw
Large Language Models
Openai
Generative AI
Data Science
Insightsrx
Healthcare Financing
Anthropic
AI In Drug Discovery
Agentic AI
AI Governance
Biocomputing
Local AI
Healthcare Marketing
Artificial Intelligence Policy
Nvidia
Onconexus
Egbavwa Pela
Chatgpt

This is an educational podcast focused on bringing academia and industry experts together in a common forum and initiate discussion geared towards data science, artificial intelligence, actuarial science and scientific research.

DISCLAIMER: The views and opinions expressed in this podcast are solely those of the host(s) or guest(s) and do not necessarily reflect the policy or position of any orga... more

PublishesTwice weeklyEpisodes38Founded5 years ago
Number of ListenersCategory
Technology

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Artwork for Data Science With Sam

Latest Episodes

You want to run AI locally. You have questions: What hardware do I actually need? Which framework should I use? How much will this cost? What's the realistic performance?

In this episode, Sam brings back Trent Rossiter, founder of Logical Data Solut... more

YouTube

What if the next generation of computers wasn't made of silicon — but of living human neurons? Not simulated neurons, not artificial neural networks inspired by biology, but actual brain cells grown in a lab, connected to electrodes, and used to proc... more

YouTube

Jensen Huang took the stage at SAP Center in San Jose on March 16th and announced that NVIDIA now expects one trillion dollars in chip orders through 2027 — double the forecast from just one year ago. Sam breaks down the five biggest stories from GTC... more

There's no international treaty governing AI, no agreed definition of "safe AI," and nobody with actual authority over frontier model deployment. A handful of CEOs make decisions with civilizational implications while governance structures lag years ... more

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Recent Guests

Trent Rossiter
Founder and principal consultant at Logic Data Solutions
Logic Data Solutions
Episode: EP 38: The Local AI Stack Nobody Talks About (But Should)
Dr. Ewelina Kurtys
Neuroscientist with a PhD in brain imaging; strategic advisor at FinalSpark
FinalSpark
Episode: EP 37: Neurons: Future of AI Processing
Andres Morales
Creative technologist and founder of Red Mage
Red Mage / Rocky Mountain AI Interest Group
Episode: EP 27: AI and the Creative Arts: Innovation or Appropriation?
Dr. Sriman Swarup
Oncologist and AI and data science enthusiast at OncoNexus
OncoNexus
Episode: EP 26: The Future of Healthcare - AI, Data and Human Touch
Egbavwa Pela
Founder and CEO of Insight Arts, specializes in AI-powered data analytics for healthcare/pharma marketing
Insight Arts
Episode: EP 25: AI Revolution in Marketing: From Traditional to Transformational
Claire Longo
A data scientist with experience leading AI teams and a focus on GenAI, MLOps, and AI engineering
Comet
Episode: EP 24: Redefining Data Science in the Generative AI Era

Host

Sam
Host of Data Science With Sam

Reviews

5.0 out of 5 stars from 97 ratings
  • So much great information!

    I can’t even express how happy I am to have found this podcast with Scott Miller. It has been an eye-opening journey and I can’t listen enough. I share with my friends and family because everyone deserves to find their purpose ❤️

    Apple Podcasts
    5
    Skylitmarco
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

The host offers a calm, insightful perspective that helps demystify complex topics.
Clear, practical takeaways for applying AI and data science in real workflows.
Guests bring diverse expertise across tech, healthcare, and marketing.
Thoughtful, well-structured explanations with useful examples.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#58
United States/Technology
Apple Podcasts
#154
Japan/Technology

Talking Points

Recent interactions between the hosts and their guests.

EP 38: The Local AI Stack Nobody Talks About (But Should)
Q: How do Mixture of Experts models change the game for on-device AI?
Mixture of Experts models load only the relevant experts for a given query, drastically reducing the memory requirements and enabling larger models to run on consumer hardware. This approach helps with on-device inference where full-dense models would be impractical due to memory constraints, enabling more capable on-device AI systems.
EP 38: The Local AI Stack Nobody Talks About (But Should)
Q: Which frameworks and toolchains are most effective for running local models, and why?
Key options include Ullama for easy entry, LM Studio for more complex setups with quantization considerations, and VLLM for faster inference when paired with CUDA-enabled NVIDIA stacks. The guest also highlights the importance of aligning tools with hardware (CUDA for NVIDIA, ROCm for AMD, Metal for Apple) and using toolchains like Langflow and MCP servers to expose tools and automate workflows.
EP 38: The Local AI Stack Nobody Talks About (But Should)
Q: What are the most important hardware considerations when building a local AI setup?
The guest emphasizes VRAM as the critical bottleneck, followed by memory throughput and the overall power and heat characteristics of the hardware. Integrated CPU-GPU architectures (like certain Mac-based or DGX Spark configurations) can offer practical advantages, while consumer GPUs remain fast but require careful power, cooling, and software alignment to maximize performance.
EP 37: Neurons: Future of AI Processing
Q: How do you see collaboration with other AI companies evolving?
The team is enabling remote collaboration through a neuroplatform, inviting universities and companies to test hypotheses and run experiments, with a pipeline for internal patents and ideas.
EP 37: Neurons: Future of AI Processing
Q: What are the practical applications or near-term use cases for biocomputing in AI?
Currently in fundamental research, with expectations that generative AI could be a strong area for biocomputing due to potential energy and cost advantages once scalable.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Data Science With Sam

What is Data Science With Sam about and what kind of topics does it cover?

The show consistently centers on how data science, AI, and related technologies intersect with real-world applications in industry and research. Episodes frequently feature practitioners and entrepreneurs explaining practical tools, governance, and ethics, with a strong emphasis on AI, machine learning, healthcare analytics, and data-driven decision making. A notable strength is the host's ability to translate complex concepts into approachable guidance, often highlighting actionable takeaways for practitioners and teams looking to upskill or implement AI at scale. The format tends to be host-led analyses or expert interviews, offering clear frameworks, case studies, and timely perspectives on emerging trends in GenAI, data science workflow... more

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Data Science With Sam launched 5 years ago and published 38 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Data Science With Sam?

Recent guests on Data Science With Sam include:

1. Trent Rossiter
2. Dr. Ewelina Kurtys
3. Andres Morales
4. Dr. Sriman Swarup
5. Egbavwa Pela
6. Claire Longo

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