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Data Science With Sam

Soumava Dey
Artificial Intelligence
Openclaw
AI Governance
Anthropic
Large Language Models
Openai
Generative AI
Data Science
Insightsrx
Healthcare Financing
AI In Drug Discovery
Agentic AI
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 weeklyEpisodes41Founded5 years ago
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ScienceTechnology

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Artwork for Data Science With Sam

Latest Episodes

74% of organizations hope to grow revenue through AI. Only 20% are actually doing it. That gap isn't a technology gap — it's a design gap. And today's guest has a name for what's missing: the reward signal.

Alexander Liss is a Data and AI Scientist ... more

YouTube

Most AI governance is a policy document that nobody enforces. And in high-stakes environments - legal, healthcare, finance - that gap between policy and architecture is where disasters happen. In this episode, Dan Driver, founder of Driver AI Agency,... more

What if ADHD - penalised in classrooms and boardrooms for decades - is actually the competitive advantage in an AI-driven world? Palantir CEO Alex Karp said the future belongs to neurodivergent thinkers. The podcast guest Mark Stiltner has been livin... more

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

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Recent Guests

Dan Driver
Founder of Driver AI Agency and architect of CaseReady Intake AI
Driver AI Agency
Episode: EP 40: Governance First: The Architecture Framework That Makes AI Auditable, Defensible, and 99% Cheaper
Mark Stiltner
Senior Director of Content and Web Marketing at Rapyd
Rapyd
Episode: EP 39: Why the Future of AI Belongs to Divergent Thinkers
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 90 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
#68
United States/Technology
Apple Podcasts
#24
India/Technology

Talking Points

Recent interactions between the hosts and their guests.

EP 40: Governance First: The Architecture Framework That Makes AI Auditable, Defensible, and 99% Cheaper
Q: What is the minimum viable governance stack for enterprise AI product deployment?
Governance must move beyond PDFs; it should be an active, auditable workflow with human-in-the-loop capabilities, versioned documentation in GitHub, and automated front-end checks to prevent unsafe or out-of-scope results.
EP 40: Governance First: The Architecture Framework That Makes AI Auditable, Defensible, and 99% Cheaper
Q: How do deterministic controls reduce hallucinations and handle prompt injection risks in legal tech?
The system uses deterministic checks to validate outputs against a charter, with an LLM only providing outputs that pass front-end and back-end Python controls, and a final AI check ensuring outputs are within scope and safe for high-stakes use.
EP 40: Governance First: The Architecture Framework That Makes AI Auditable, Defensible, and 99% Cheaper
Q: What does governance-first architecture look like in practice, and how did you apply it to CaseReady Intake AI?
Dan explains starting with a 10-page charter and deterministic Python controls that audit every decision, log when and why decisions are made, and require tests before deployment, effectively embedding governance into the product rather than treating it as a separate layer.
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.

Audience Metrics

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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 41 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. Dan Driver
2. Mark Stiltner
3. Trent Rossiter
4. Dr. Ewelina Kurtys
5. Andres Morales
6. Dr. Sriman Swarup
7. Egbavwa Pela
8. Claire Longo

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