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DataTalks.Club

DataTalks.Club
Machine Learning
Data Science
Search Technologies
Vector Databases
Natural Language Processing
Networking
Freelancing
Artificial Intelligence
Retrieval-Augmented Generation
Transfer Learning
Informational Interviews
Women In Tech
Behavioral Interviews
Soft Skills Assessment
Entrepreneurship
Statistics
Interpretable Machine Learning
Digital Health
Content Management Systems
Bayesian Modeling

DataTalks.Club - the place to talk about data!

PublishesWeeklyEpisodes209Founded5 years ago
Number of ListenersCategory
Technology

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Artwork for DataTalks.Club

Latest Episodes

In this talk, Slawomir Tulski, Data Leadership Consultant and former Meta Data Engineering Manager, shares his ten-year journey through the evolution of data systems—from researching glaciers in Poland to scaling the ads ranking infrastructure at one... more

YouTube

In this talk, Ruslan Shchuchkin, GenAI Engineer at Finance Guru, shares his unique career evolution from business administration and account management to building production-grade generative AI systems. We explore the transition from traditional Dat... more

YouTube

In this episode Revathy Ramalingam, Senior Software Engineer and AI Engineer at a healthcare startup, shares her inspiring personal journey from over nine years in telecom software architecture to successfully transitioning back into the industry aft... more

YouTube

In this talk, Aditya, an experienced AI Researcher and Engineer, shares his technical evolution—from his roots in embedded systems to building complex, large-scale AI agent architectures. We explore the practical challenges of enterprise AI adoption,... more

YouTube

Key Facts

Accepts Guests
Contact Information
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Find out how many people listen to this podcast per episode and each month.

Recent Guests

Slawomir Tulski
Data engineer with Meta background, now independent consultant
Independent consultant; former Meta data engineer
Episode: Data Engineer Career in 2026: Roles, Specializations, and What Companies Look for - Slawomir Tulski
Revathy Ramalingam
AI engineer at a healthcare startup
Healthcare startup
Episode: How to Become an AI Engineer After a Career Break - Revathy Ramalingam
Aditya Gautam
AI researcher and engineer with experience at Google and Meta; frequent speaker on AI agents and economics of LLMs
DataTalks.Club
Episode: The Future of AI Agents - Aditya Gautam
Juan Manuel Perafan
Analytics engineer, co-author of Fundamentals of Analytics Engineering
Episode: Foundations of Analytics Engineer Role: Skills, Scope, and Modern Practices - Juan Manuel Perafan
Paul Iusztin
AI engineer committed to helping developers create functional production-grade AI products.
Decoding AI Magazine
Episode: AI Engineering: Skill Stack, Agents, LLMOps, and How to Ship AI Products - Paul Iusztin
Anusha Akkina
Co-founder of Aurelix and expert in AI-driven finance solutions.
Aurelix
Episode: From Black-Box Systems to Augmented Decision-Making - Anusha Akkina
Ranjitha Kulkarni
Staff ML Engineer at NeuBird.AI with experience in building LLM and agent-powered products.
NeuBird.AI
Episode: Building reliable AI products in the era of Gen AI and Agents - Ranjitha Kulkarni
Igor Yin
Student studying data science at Leuphana University, working on knowledge graphs and machine learning operations.
ProKube
Episode: Berlin PyData 2025 Conference Interviews
Selim Nowicki
Data professional and startup founder with over a decade of experience in various data roles.
Distill Labs
Episode: Berlin PyData 2025 Conference Interviews

Host

Alexey
Host and organizer of DataTalks.Club events

Chart Rankings

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

Apple Podcasts
#76
Spain/Technology
Apple Podcasts
#111
United Arab Emirates/Technology
Apple Podcasts
#217
Colombia/Technology

Talking Points

Recent interactions between the hosts and their guests.

The Future of AI Agents - Aditya Gautam
Q: How important is human in the loop in production, and when should it be introduced?
Human in the loop is essential from pre-deployment through production to establish robust guidelines, create a golden dataset, and continuously monitor edge cases. As production scales, humans should be used to validate model behavior and tune systems, not just for initial setup.
The Future of AI Agents - Aditya Gautam
Q: What are the main challenges enterprises face when adopting AI agents, and how do you see those being addressed?
Key challenges include integration with legacy infrastructure, ensuring reliability and governance, and controlling costs. Solutions include specialized, fine-tuned models for high-volume tasks, strong guardrails and auditing, human-in-the-loop for critical decisions, and robust data lineage to track how data flows through agents.
The Future of AI Agents - Aditya Gautam
Q: How did your career path lead you to focus on AI agents and multi-agent systems?
I migrated from embedded engineering in India to exploring ML in academia, then joined major tech companies where I saw the shift from traditional models to generative AI. This progression, plus hands-on work with real-world problems like recommendation systems, shaped my focus on how autonomous agents can operate in enterprises while needing governance and robust tooling.
Foundations of Analytics Engineer Role: Skills, Scope, and Modern Practices - Juan Manuel Perafan
Q: What do analytics engineers actually do, and how is it different from data engineers and analysts?
They perform data modeling and apply engineering practices to make data robust and maintainable, bridging the gap between business needs and technical execution, with a focus on reliability and governance rather than only speed of delivery.
AI Engineering: Skill Stack, Agents, LLMOps, and How to Ship AI Products - Paul Iusztin
Q: What must-have skills should AI engineers have in 2026?
AI engineers need to be capable of creating and evaluating agents, using AI assistants, and maintaining an open-minded approach to learning new technologies.

Audience Metrics

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Frequently Asked Questions About DataTalks.Club

What is DataTalks.Club about and what kind of topics does it cover?

This show centers on data, AI, and practical technology: from analytics engineering, data platforms, and model evaluation to real-world deployments of AI and machine learning. Guests typically dive into hands-on topics like data modeling, tooling (DBT, SQL, Python), LLMs, vector search, and building reliable AI systems, often with a focus on how data teams collaborate with product and business stakeholders. Across episodes, there's a strong emphasis on applying data science to industry challenges—finance, healthcare, e-commerce, and pet tech—along with stories about career paths, leadership, and building or implementing data-driven products. A standout pattern is the bridging of theory and practice, with guests ranging from engineers and re... more

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How many episodes of DataTalks.Club are there?

DataTalks.Club launched 5 years ago and published 209 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 DataTalks.Club?

Recent guests on DataTalks.Club include:

1. Slawomir Tulski
2. Revathy Ramalingam
3. Aditya Gautam
4. Juan Manuel Perafan
5. Paul Iusztin
6. Anusha Akkina
7. Ranjitha Kulkarni
8. Igor Yin

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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