Hosted by Dataminded · 🇺🇸 US · EN · 14 episodes
Established thought leaders with verified media credentials.
Deep dives and practical demos on the technologies shaping modern data and AI development. Join the Dataminded team as they explore, unbox, and critically review the latest tools, from building AI agents and RAG systems to optimizing cloud costs and accelerating data pipelines. We cut through the hype to show you what actually works in real data engineering practice.
Dataminded hosts Technology Explorations in Data, a technology show with 14 episodes published.
Your dashboards only answer the questions you thought of last quarter. Every new question is a ticket, a dependency, or a gut call. Snowflake Intelligence wants to fix that -- a chat interface on top of governed enterpri
Show notesEnterprise data is full of sensitive information: different teams, different access rights, different rules. When you ask an AI agent a simple question and get "access denied," it's not a permissions bug. It's a design p
Show notesVideo episode: https://www.youtube.com/watch?v=KExht8wZ2Ng Every time you ask your AI for help, it agrees. It generates ideas fast, sounds confident, and never tells you your plan has holes. That's the problem. Arete is
Jan opens 12 browser tabs every morning to check overnight pipelines. Log in, check, close. Twelve times. So he built a terminal app instead. Flowrs is a TUI for Apache Airflow written in Rust. Navigate all your environm
Show notesEvery time you ask AI for help, it agrees. Fast, confident, and it never tells you your plan has holes. That's the problem Arete is built to fix. Jesus built a brainstorm agent on Claude Code skills that guides you throu
Show notesEmil Krause and Jonny Daenen explore the claim that speech-to-text makes you three times as fast. Emil shows the functionalities and benefits of Super Whisper and Whisper Assistant, two innovative speech-to-text tools de
LLMs & Chatbots become messy fast once you move beyond simple prompts. Meet the latest concept to help you move towards Agentic AI: Skills! As conversations grow longer and agents start reasoning in loops, context window
Surprised by your Azure Log Analytics bill? We found that you can cut costs by 60%! Azure Log Analytics costs often take up 20% or more of a cloud bill, even though most teams only check logs when something breaks. Azure
Code reviews can be a pain: rushed approvals, “rubber stamping,” and bugs slipping into production. With AI-assisted coding accelerating how much code we produce, the review bottleneck becomes even more real. In this epi
When working across multiple codebases, your AI assistant only sees one at a time; you lose context the moment you switch repos. Cursor Workspaces aims to fix this by letting you pin multiple repositories into a single i
In this episode, Jonny and Tarik show how to build a fully functioning RAG-based AI agent using MindsDB, turning internal data from Postgres, Slack, or Google Drive into a queryable knowledge base powered by semantic sea
Move your Google Drive documents straight into Postgres using Python and PyAirbyte. In this Technical Explorations episode, Jonny and Tarik from Dataminded show how they ingest internal meeting transcripts (Facts & Break
Emil Krause & Jonny Daenen explore how to accelerate dbt development by integrating MCP (Model Context Protocol) with Postgres and Cursor. Emil demonstrates how to solve a database bug by allowing AI agents to interact d
In this special episode on the AWS outage, Stijn De Haes explains to us what happened during the AWS October 2025 Outage. He then zooms in on the limited effect it had on Dataminded and its product Conveyor. And finally
In this conversation, Jonny Daenen and Pierre Crochelet explore the Model Context Protocol (MCP), a framework that enhances AI assistants by allowing them to perform various tasks through tools, resources, and prompts. T
AI agents get messy fast once you move beyond simple prompts. Context windows fill up with noise, agents start reasoning in loops, and suddenly you're dealing with brittle behavior and hallucinations. Jesus walks through
Show notesAzure Log Analytics costs often take up 20% or more of a cloud bill, even though most teams only check logs when something breaks. Azure's default analytics logs are powerful, but they're also expensive and often unneces
Show notesCode reviews are often considered a pain, resulting in quick approvals and bugs reaching production. CodeRabbit and Sourcery aim to solve this by letting an AI agent review your changes early on. In this episode, data &
Show notesEmil shows how to let his Cursor AI access and manipulate multiple projects at the same time. He does this by leveraging the Cursor Workspace feature, which enables you to link multiple repositories together. His demo sh
Show notesIn this Technical Exploration, Jonny and Tarik show how to build a fully functioning RAG-based AI agent using MindsDB, turning internal data from Postgres, Slack, or Google Drive into a queryable knowledge base powered b
Show notesSponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
To pitch Technology Explorations in Data, visit https://www.dataminded.com/resources/technology_explorations for contact information, then craft a tight one-paragraph hook that ties your expertise to a gap in their recent technology coverage.
Technology Explorations in Data is hosted by Dataminded. The show is categorised under technology and has published 14 episodes.
Technology Explorations in Data has published 14 episodes.
Technology Explorations in Data regularly covers technology. It sits in the technology category.
Technology Explorations in Data is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Technology Explorations in Data hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Technology Explorations in Data average 25 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Technology Explorations in Data's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 2 days ago.
