Skip to content
DataTalks.Club cover artwork

Podcast profile

DataTalks.Club

By DataTalks.Club

DataTalks.Club - the place to talk about data!

Latest episode

Engineering Your Own AI Assistant - Paul Iusztin

1 hr 2 min

Cadence
Weekly
Typical length
1 hr 3 min
Latest release
Jul 24, 2026
Language
EN

Classification review pending

Topic, format, and audience-level labels are published only after a manual source review. This show remains fully discoverable by its researched technology sectors.

Listen from the original source

This directory never re-hosts or republishes podcast audio.

Official sources checked

Episode audio and show facts come from the checked-in refresh of the show’s public sources.

From the feed

Latest episodes

25 available
DataTalks.Club1 hr 2 min

Engineering Your Own AI Assistant - Paul Iusztin

In this talk, Paul Iusztin, Creator of Decoding AI and author of the LLM Engineer's Handbook, shares his deep expertise in personal automation from managing a digital life with lightweight data pipelines to architecting autonomous agents for deep research. We explore the mechanics of building personal AI assistants and

Official page
DataTalks.Club1 hr 2 min

AI Adoption in Enterprise Beyond Writing Code - Ivan Bilan

In this talk, Ivan, Senior Engineering Manager at Personio, shares his deep expertise in the data and software space from his early days building traditional NLP systems and massive ETL pipelines to his current leadership role in Identity and Access Management (IAM). We explore the rapid evolution of Generative AI, the

Official page
DataTalks.Club55 min

Applied AI 2026 Berlin Conference Interview

The conference highlighted a critical shift in the technology and engineering ecosystem, moving away from passive implementations toward autonomous AI systems, collaborative communities, and robust engineering guardrails. Discussions centered on the practical architecture required to scale AI safely, the evolution of m

Official page
DataTalks.Club1 hr 4 min

From GenAI Pilots to Production - Nikita Kozodoi

In this talk, Nikita, Senior Applied Data Scientist at the AWS Generative AI Innovation Center, shares his expertise in bringing enterprise artificial intelligence out of the sandbox—from his early days optimizing traditional machine learning models like gradient boosting to deploying advanced production-grade GenAI pi

Official page
DataTalks.Club1 hr 6 min

Data Makers Fest 2026 Conference Interviews

At Data Makers Fest, a recurring theme was the tension between GenAI hype and production reality. Speakers stressed that classical ML, MLOps, evaluation, data quality, and governance remain essential—especially in regulated sectors like fintech and healthcare. Another strong theme was inclusivity: building AI that serv

Official page
DataTalks.Club1 hr 23 min

PyConDE 2026 Conference Interviews

At PyConDE 2026, community leaders, educators, and Python tooling builders explored how Python is evolving in the age of AI — and why human connection, mentorship, and strong fundamentals matter more than ever. Jessica Greene (Ecosia / PyLadies Berlin) spoke about her work as a machine learning engineer and community o

Official page
DataTalks.Club1 hr 2 min

Understanding the AI Engineer Role - Nasser Qadri

In this talk, Nasser Qadri, AI Engineering Manager at Google, shares his unique career journey—from a PhD in Politics and International Relations to leading high-stakes AI initiatives. We explore the evolution of the AI Engineer role, the critical intersection of social science and machine learning, and how to build ro

Official page
DataTalks.Club1 hr 9 min

The Future of AI Agents - Aditya Gautam

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, the shifting economics of LLMs, and the infrastructure required to de

Official page
DataTalks.Club1 hr 5 min

Applying ML: An Ongoing Personal Journey

In this talk, Rileen, a Senior Computational Biologist and Cancer Data Scientist, shares his professional journey from physics and computer science to cutting-edge cancer genomics and applied machine learning. From his early work in alternative splicing models to deep learning in medical imaging, Rileen explains how bi

Official page
DataTalks.Club52 min

Qdrant 2025 Conference Interviews

At Qdrant Conference, builders, researchers, and industry practitioners shared how vector search, retrieval infrastructure, and LLM-driven workflows are evolving across developer tooling, AI platforms, analytics teams, and modern search research. Andrey Vasnetsov (Qdrant) explained how Qdrant was born from the need to

Official page