Open||Source||Data

By Charna Parkey

Listen to a podcast, please open Podcast Republic app. Available on Google Play Store and Apple App Store.

Image by Charna Parkey

Category: Technology

Open in Apple Podcasts


Open RSS feed


Open Website


Rate for this podcast
    

Subscribers: 13
Reviews: 0
Episodes: 98

Description

What can we learn from ai-native development through stimulating conversations with developers, regulators, academics and people like you that drive forward development, seek to understand impact, and are working to mitigate risk in this new world? Join Charna Parkey and the community shaping the future of open source data, open source software, data in AI, and much more.

Episode Date
Building Open-Source LLMs with Philosophy | Anastasia Stasenko
Jun 03, 2025
Democratizing Cloud Infrastructure | Kevin Carter
May 20, 2025
AI and the Future of Media Consumption | Pete Pachal
May 06, 2025
Your AI Roadmap: Building a Career, Revenue and a Future in AI | Dr. Joan Bajorek
Apr 22, 2025
Cooperative Systems, Data Transparency & Quality and the Year of Small AI | Dr. Jason Corso
Apr 08, 2025
Building the Future of Streaming Data | Alex Gallego
Apr 03, 2025
What is Neuro-Symbolic AI? | Emin Can Turan
Mar 11, 2025
How to Empower Non-Technical Teams with Data Insights | Suzanne El-Moursi
Feb 25, 2025
Open Source AI and Copyright: Building Ethical Models | Kent Keirsey
Feb 11, 2025
Building Trust in AI: From Open Source to Global Impact with host, Charna Parkey
Oct 08, 2024
AI Regulations in Financial Services with Vinay Kumar
Sep 24, 2024
The importance and the Challenges & Solutions of AI Literacy with Brian Magerko
Aug 13, 2024
Demystifying AI Governance: A Practical Guide for Organizations with Heather Domin
Jul 30, 2024
Transforming Food Systems with Regenerative AI with Ethan Soloviev
Jul 16, 2024
Redefining AI Ethics: The Key Role of Explainability with Beth Rudden
Jul 02, 2024
Eliminating AI Bias Through Inclusive Data Annotation with Andrea Brown
Jun 18, 2024
Regulation's Role in Driving Responsible AI with Asa Whillock
Jun 04, 2024
Transforming Client Experience with AI with Robbi Armstrong
May 21, 2024
Navigating Open Source Talent, AI & Policy Challenges with Amanda Brock
May 07, 2024
Using AI to Impact Performance Feedback Equity with Tacita Morway
Apr 23, 2024
The Ethical Path to High-Quality AI Data with Fabiana Clemente
Apr 09, 2024
Disrupting Data Analysis with Avi Press
Mar 26, 2024
Tech, Trust, and Transformation with Paula Paul
Mar 12, 2024
An Innovative Approach to AI & NLP with Milos Rusic
Feb 27, 2024
New Beginnings: Open||Source||Data in Transition
Dec 20, 2023
The Intersection of Open Source and AI with Stefano Maffulli & Stephen O’Grady
Dec 13, 2023
Throwback: The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik
Nov 15, 2023
How We Should Think About Data Reliability for Our LLMs with Mona Rakibe
Nov 01, 2023
Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Oct 18, 2023
Reframing Machine Learning and AI-Assisted Development with Jorge Torres
Sep 27, 2023
A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey
Sep 06, 2023
The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns
Aug 23, 2023
The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton
Aug 09, 2023
ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann
Jul 26, 2023
Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller
Jul 12, 2023
FMOps and a Founders Automated Future with Jaya Gupta
Jun 28, 2023
Web3 and Putting Reputation on Code with ML with Omoju Miller
May 31, 2023
The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova
May 17, 2023
Determinism in Complex Environments and Workflow Services with Maxim Fateev
May 03, 2023
The AI-Native Stack in Practice with Charna Parkey and Sam Bean
Mar 15, 2023
The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik
Mar 01, 2023
Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin
Feb 22, 2023
Making Graph Data Easier with Open Initiatives with Denise Gosnell
Feb 15, 2023
Advising Big Data and The Future of AI/ML with Ben Lorica
Feb 01, 2023
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Jan 18, 2023
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Jan 04, 2023
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Dec 14, 2022
OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff
Dec 07, 2022
IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri
Nov 23, 2022
Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar
Nov 09, 2022
Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia
Nov 02, 2022
Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda
Oct 26, 2022
Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu
Oct 12, 2022
Stream Processing, Observability, and the User Experience with Eric Sammer
Sep 28, 2022
Season 3 Compressed Edition with Sam and Audra
Jul 20, 2022
Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson
Jul 06, 2022
Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell
Jun 29, 2022
Vector Search, the AI Stack and more with Bob van Luijt
Jun 22, 2022
Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Jun 08, 2022
Data Observability with Barr Moses, Einat Orr, and Shinji Kim
Jun 01, 2022
Apache Pinot and Real-Time Analytics with Neha Pawar
May 25, 2022
Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown
May 11, 2022
Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das
May 04, 2022
Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia
Apr 27, 2022
Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin
Apr 20, 2022
Deep Fakes, Responsible Data Science, and Trust with David Danks
Apr 13, 2022
Cloud Innovation, Analytics, and Data Transformation with Monica Kumar
Mar 30, 2022
Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran
Mar 16, 2022
Interoperability, Governance, and Divergent Teams with Prukalpa Sankar
Mar 02, 2022
Trust, Automation, and Trade-Offs with Joseph Jacks
Feb 16, 2022
Open Source, Adoptability, and Name Changes with Martin Traverso
Feb 02, 2022
Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro
Oct 29, 2021
Embeddings, Feature stores, and MLOps with Simba Khadder
Oct 14, 2021
Abundance, Metadata, and Automation with Mark Grover
Sep 30, 2021
Metadata, Communities, and Architecture with Shirshanka Das
Sep 16, 2021
Data Management Pain Points and Future Solutions for Data Discovery
Sep 02, 2021
ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova
Aug 19, 2021
Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel
Aug 05, 2021
MLOps, AIOps, and Data Startups with Jocelyn Goldfein
Jul 22, 2021
Git-Like Branch and Merge for Data with Einat Orr
Jul 08, 2021
Data Discoverability, Products, and User Diversity with Shinji Kim
Jun 24, 2021
Data Observability, Customer-Led Growth, and Confidence with Barr Moses
Jun 10, 2021
Open Source Data & Its Role in the Future of Technology: Season 1 Recap
Apr 22, 2021
Data Visualization, Democratization, and Javascript with Melody Meckfessel
Mar 25, 2021
DataOps, MLOps, and Self Service: How Data Teams are Changing
Mar 11, 2021
Fabrics, Meshes, and Graphs with Deloitte Principal Dave Thomas
Feb 25, 2021
Metadata, Graphs, and Responsible AI with Paco Nathan
Feb 11, 2021
Data Analytics: Hard Skills vs Soft Skills and the Gift of Thinking Different
Jan 28, 2021
Global Connectivity: Share and Democratize Through Open Data
Jan 14, 2021
From DBA to SRE: 2021 Predictions for Data on Kubernetes
Dec 23, 2020
Open Source’s Impact in Academia with Open@RIT's Stephen Jacobs
Dec 10, 2020
Data Meshes: Big Data Architecture Becoming Distributed, Declarative and Domain Oriented
Nov 25, 2020
Data on Kubernetes: Platform, Resource, and Ecosystem tooling with Microsoft Azure’s Lachlan Evenson
Nov 12, 2020
Data, Kubernetes, and Our Best Selves with Google’s Kelsey Hightower
Oct 29, 2020
Culture and Cognition in DevOps with Alchemist Accelerator’s Rachel Chalmers
Oct 15, 2020
Open Source Sustainability with AWS Exec + Tech Columnist Matt Asay
Oct 01, 2020
Storytelling in Product Development with Google’s Patricia Boswell
Sep 15, 2020
Introducing Open||Source||Data with Sam Ramji
Sep 03, 2020