On this episode, we&rsquo;ve partnered with the Future Rodeo podcast for a discussion between Sam and Matt Wallace. Matt is the Chief Technology Officer and EVP at Faction, a pioneer of multi-cloud data services, and host of Future Rodeo.
In this episode, Sam and Matt discuss Microsoft&rsquo;s transformation, the impact of Kubernetes on container orchestration, and the rapid acceleration of AI research and development.

This episode features an interview with Abby Kearns, technology executive, board director, and angel investor. Her career has spanned executive leadership, product marketing, product management, and consulting across Fortune 500 companies and startups, including Puppet, Cloud Foundry Foundation, and Verizon. Abby currently serves as a board director for Lightbend, Stackpath, and Invoke.&nbsp;
In this episode, Sam sits down with Abby to discuss the betrayal source license, the role open source plays in AI, and empowering trust.

This episode features an interview with Daniel Lenton, Founder and CEO of Ivy, where the team is on a mission to unify the fragmented AI stack. Prior to Ivy, Daniel was a Robotics Research Engineer at Dyson and a Deep Learning Research Scientist for Amazon Prime Air. During his PhD, Daniel explored the intersection between learning-based geometric representations, ego-centric perception, spatial memory, and visuomotor control for robotics.
In this episode, Sam and Daniel discuss the inspiration behind Ivy, open source reproducibility, and democratizing AI.

This episode features an interview with Demetrios Brinkmann, Founder of the MLOps Community, an organization for people to share best practices around MLOps. Demetrios fell into the Machine Learning Operations world and has since interviewed leading names around MLOps, data science, and machine learning.&nbsp;
In this episode, Sam sits down with Demetrios to discuss LLM in production use cases, ML engineering teams, and the LLM Survey Report from the MLOps Community.

This bonus episode features conversations from season 5 of the Open||Source||Data podcast. In this episode, you&rsquo;ll hear from Jaya Gupta, Partner at Foundation Capital; Yuliia Tkachova, Co-founder and CEO of Masthead Data; and Omoju Miller, Founder and CEO of Fimio.
Sam sat down with each guest to discuss how they are building foundations for trust, inspiration, and reputation as we all race into the AI-centric future.
You can listen to the full episodes from Jaya Gupta, Yuliia Tkachova, and Omoju Miller by clicking the links below.

This episode features an interview with Jaya Gupta, Partner at Foundation Capital, where she leads early-stage investments across the enterprise software stack. Previously, Jaya was a Senior Business Analyst at McKinsey &amp; Company focusing on software diligence and helping startups expand their go-to-market strategies.
In this episode, Sam and Jaya discuss her journey to Foundation Model Ops, how software is becoming more accessible, and the democratization of AI tools.&nbsp;

This episode features an interview with Omoju Miller, Founder and CEO of Fimio, a web3 reputation company. Originally from Lagos, Nigeria, Omoju holds a doctoral degree in Computer Science Education from UC Berkeley. Her expertise in machine learning and computational intelligence led her to companies such as Google and GitHub. Omoju also served as a volunteer advisor to the Obama administration&rsquo;s White House Presidential Innovation Fellows.
In this episode, Sam sits down with Omoju to discuss how machine learning can make applications more secure, what the future of the internet looks like, and the fascinating story behind Fimio.

This episode features an interview with Yullia Tkachova, Co-founder and CEO of Masthead Data, an observability platform that catches anomalies in Google BigQuery in real-time. She holds degrees in Management Information Systems, Math, Statistics, and Marketing. Prior to Masthead, Yuliia designed complex BI products and solutions powered by ML and utilized by Fortune 500 companies.
In this episode, Sam and Yuliia discuss how ML is shaping the future of data analytics, caring about users, and the fundamental human right to privacy.

This episode features an interview with Maxim Fateev, Co-founder and CEO of Temporal, an open source, distributed, and scalable workflow orchestration engine capable of running millions of workflows. He has 20 years of experience architecting mission-critical systems at Uber, Google, Amazon, and Microsoft.&nbsp;
In this episode, Sam sits down with Maxim to discuss workflow services, the power behind Temporal, and bringing determinism to highly complex environments.&nbsp;

This episode features a panel discussion with Charna Parkey, a Real-Time AI Product and Strategy leader at DataStax; and Sam Bean, Staff Engineer at You.com. Charna is a co-author and inventor on several patents, including patent-pending work on ML/coordinated feature engine at the edge. Sam helped create the Spark connector to Weaviate, and is passionate about Big Data, Spark, NLP, Hugging Face, and large language models.
In this episode, Charna and Sam discuss adapting to user expectations, what&rsquo;s missing in the AI stack, and how to become an advanced citizen in open source.

This episode features a panel discussion with Mikiko Bazeley, Head of MLOps at Featureform; Zain Hasan, Senior Developer Advocate at Weaviate; and Tuana Celik, Developer Advocate at deepset.
In this episode, Mikiko, Zain, and Tuana discuss what open source data means to them, how their companies fit into the AI-first ecosystem, and how jobs will need to evolve with the AI-native stack.

This special episode of Open||Source||Data features an interview with Patrick McFadin. Patrick has been a distributed systems hacker since he first plugged a modem into his Atari computer. Looking for adventure, he joined the US Navy, working on the Naval Tactical Data System (NTDS), which cemented his love of distributed systems. He is now an Apache Cassandra Committer, and is the Vice President of Developer Relations at DataStax. 
Sam catches up with Patrick at Data Day Texas to discuss his book Managing Cloud Native Data on Kubernetes, Cassandra Forward, and the future of Apache Cassandra.

This episode features an interview with Denise Gosnell, Principal Product Manager at Amazon Web Services. At AWS, Denise leads product and strategy for Amazon Neptune, a fully managed graph database service. Her career centers on her passion for examining, applying, and advocating for the applications of graph data. Denise has also authored, patented, and spoken on graph theory, algorithms, databases, and applications across all industry verticals.
In this episode, Sam sits down with Denise to discuss graph initiatives, the future of developer models, and what Denise learned from hiking the Appalachian Trail.

This episode features an interview with Ben Lorica, Co-founder and Principal of Gradient Flow, a company that provides a wide range of content on data and technology. Ben is an industry expert on data, machine learning and AI. He is a Technical Advisor for Databricks, a program chair for several data conferences, and he hosts The Data Exchange Podcast.
In this episode, Sam and Ben discuss Big Data and the improvements and future opportunities of AI and machine learning.

This episode features an interview with Holden Karau, an Open Source Engineer at Netflix. Holden is best known for her work on Apache Spark, her advocacy in the open source software movement, and her creation of a variety of related projects including spark-testing-base. Previously, Holden worked at Big Tech companies like Apple, IBM, and Google as a software engineer and developer advocate.
In this episode, Sam sits down with Holden to discuss the data analysis stack, functional programming, and the future of open source software data tooling.

This episode features an interview with Tom Baeyens, Co-founder and CTO of Soda, where he oversees the company's product development, software architecture, and technology strategy. He is passionate about open source and committed to building a community where data engineers can succeed using the Soda Data Monitoring Platform. Tom is the inventor of the widely-used open source project jBPM and Activiti. He also co-founded Effektif, a cloud process automation company.
In this episode, Sam and Tom discuss the evolution of open source workflow engines, data contracts, and why data quality needs a language approach.

This episode features an interview with Matthew Rocklin, CEO of Coiled, the scalable Dask-based cloud platform. Prior to founding Coiled, Matthew worked on Dask at Anaconda and then NVIDIA where his teams focused on accelerating Dask through parallel computing and GPUs. Matthew is an industry speaker, author, and founding member of Pangeo, whose mission is to develop open source analysis tools for ocean, atmosphere, and climate science.
In this episode, Sam sits down with Matthew to discuss enabling edge workers, the future of data science, and the revolution of AI and ML.

This episode features an interview with Nithya Ruff, Head of Open Source Program Office at Amazon. At Amazon, she drives open source culture and coordination and engagement with external communities. Prior to Amazon, Nithya spearheaded and grew Open Source Program Officers (OSPOs) for Comcast and Western Digital. She has also served as the Director-At-Large on the Linux Foundation Board since 2016, where she works to advance the mission of building sustainable ecosystems that are built on open collaboration.
In this episode, Sam and Nithya discuss OSPOs, how to measure success, and the evolution of the data ecosystem.

This episode features a conversation with Jonathan Beri, Founder &amp; CEO of Golioth, a commercial IoT development platform built for scale. Previously, Jonathan was a Product Manager at Particle, Google/Nest, Magneto, and Myspace where he spent his time building IoT solutions.
In this episode, Sam sits down with Jonathan to discuss the concept of digital twins, the future of IoT databases, and how to build a real holodeck.

This episode features an interview with Indu Navar, CEO and Founder of EverythingALS, a patient-driven non-profit, bringing technological innovations and data science to support efforts from care to cure, for people with ALS. Indu&rsquo;s impressive career includes being an original member of the WebMD engineering team, where she was instrumental in using emerging technologies to achieve application scalability and performance.
In this episode, Sam sits down with Indu to discuss healthcare infrastructure applications, her strategies for providing reliable patient data, and the future of ALS research.

This episode features an interview with Tony Gauda, Head of Customer Engineering at Fleet Device Management, an open core company powered by Osquery. Tony is a serial entrepreneur and inventor with a profound history in fraud, security, and SaaS business. He holds several issued patents and his companies have raised over $40 million in venture funding. Tony is also the founder of ThinAir, a Y-Combinator backed SaaS service that tackled the insider threat problem for enterprises and government agencies.
In this episode, Sam and Tony discuss calculating data usage at scale, the creativity of attackers, and how to evolve as threats increase.

This episode features an interview with Beyang Liu, CTO and Co-founder of Sourcegraph, a code intelligence platform. Prior to Sourcegraph, Beyang was a software engineer at Palantir Technologies, where he developed new data analysis software on a customer-facing team working with Fortune 500 companies. Beyang studied Computer Science at Stanford, where he published research in probabilistic graphical models and computer vision at the Stanford AI Lab.
In this episode, Sam sits down with Beyang to discuss the power of intelligence and visualization, GraphQL versus REST API, and how Sourcegraph is drawing inspiration from Google.

This episode features an interview with Eric Sammer, CEO of Decodable. Eric has been in the tech industry for over 20 years, holding various roles as an early Cloudera employee. He also was the co-founder and CTO of Rocana, which was acquired by Splunk in 2017. During his time at Splunk, Eric served as the VP and Senior Distinguished Engineer responsible for cloud platform services.
In this episode, Sam and Eric discuss the gap between operating infrastructure and the analytical world, stream processing innovations, and why it&rsquo;s important to work with people who are smarter than you.

Join Open||Source||Data executive producer Audra Montenegro as she and Sam discuss his learnings and takeaways from this season and what the future of open source data looks like.

This episode features an interview with Sophie Watson, Technical Product Marketing Manager at NVIDIA. Previously, Sophie served as a software engineer and principal data scientist at RedHat where she used machine learning to solve business problems in the hybrid cloud. Sophie has a PhD in Bayesian statistics and frequently speaks about machine learning workflows on Kubernetes, recommendation engines, and machine learning for search.&nbsp;
In this episode, Sam and Sophie discuss Principal Component Analysis, computational acceleration, and MLOps.&nbsp;

This episode features an interview with Bob van Luijt, CEO and Co-Founder of SeMI Technologies and co-creator of Weaviate, an open source vector search engine.&nbsp;
At just 15 years of age, Bob started his own software company in the Netherlands. He went on to study music at ArtEZ University of the Arts and Berklee College of Music, and completed the Harvard Business School Program of Management Excellence. Bob is also a TedX speaker, discussing the relationship between software and language.
In this episode, Sam sits down with Bob to break down vector search, the AI-first ecosystem, and how music and software relate to one another.

This episode features an interview with Larry Augustin, angel investor and advisor to early-stage technology companies. Larry previously served as the Vice President for Applications at AWS, where he was responsible for application services like Pinpoint, Chime, and WorkSpaces.
Before joining AWS, Larry was the CEO of SugarCRM, an open source CRM vendor. He also was the founder and CEO of VA Linux, where he launched SourceForge. Among the group who coined the term &ldquo;open source&rdquo;, Larry has sat on the boards of several open source and Linux organizations.
In this episode, Sam and Larry discuss who owns the rights to data, the data in to data out ratio, and why Larry is an open source titan.

This episode features an interview with Neha Pawar, a Founding Engineer at StarTree. StarTree is a software development company that focuses on democratizing data for all users by providing real-time, user-facing analytics.
Prior to her time at StarTree, Neha was a Senior Software Engineer on LinkedIn&rsquo;s Data Analytics team where she spent five years working on Apache Pinot. Neha has provided countless contributions to Pinot over the years, focusing on real-time streaming integrations, ingestion, and storage.&nbsp;
In this episode, Sam sits down with Neha to discuss Apache Pinot&rsquo;s impact on the data community and how LinkedIn popularized real-time analytics.

This episode features an interview with DeVaris Brown, CEO and Co-Founder of Meroxa. Meroxa was founded in 2020 and enables teams of any size and any expertise to build real-time data pipelines in minutes.
Previously, DeVaris was a product leader at Twitter, Heroku, and Zendesk. Sam and DeVaris even crossed paths at Microsoft in the aughts.
In this episode, Sam and DeVaris discuss enabling developers, real-time data, and providing the ultimate user experience.

This episode features an interview with Erica Brescia, Managing Director of Redpoint Ventures. At Redpoint, Erica focuses her investing on infrastructure, DevOps, and security.
Erica has over 15 years of experience in the open source community and currently serves on the board of directors of the Linux Foundation. Prior to joining Redpoint, Erica was also an angel investor and advisor to companies such as Netlify, Coda, and Xata.
In this episode, Sam and Erica discuss the evolution of open source data, what&rsquo;s changed for practitioners, and why you should always listen to your gut.

This episode features an interview with David Danks, Professor of Data Science and Philosophy and affiliate faculty in Computer Science and Engineering at University of California, San Diego. Prior to UCSD, David was the L.L. Thurstone Professor of Philosophy and Psychology at Carnegie Mellon University.&nbsp;
David&rsquo;s research interests are at the intersection of philosophy, cognitive science, and machine learning. He has also examined the ethics surrounding artificial intelligence in the fields of healthcare, privacy, and security.&nbsp;
In this episode, David and Sam dive into responsible data science, deep fakes, and if data is to blame for the lack of trust among consumers.

This episode features an interview with Monica Kumar, Senior Vice President of Marketing and Cloud-Go-To Market at Nutanix. Nutanix is a data platform that is redefining workloads in cloud environments. Prior to Nutanix, Monica spent two decades at Oracle where she launched several market solutions.&nbsp;
Monica is passionate about positioning and supporting women in leadership roles. She is a founding limited partner of Neythri Futures Fund, a venture fund dedicated to bringing South Asian women into the investment community. Monica also serves on the board of Directors at Watermark, an organization dedicated to women in leadership.&nbsp;
In this episode, Monica and Sam discuss the evolving world of marketing analytics, tech&rsquo;s biggest innovation to date, and how the data industry can change for the better.

This episode features an interview with Tomer Shiran, Founder and Chief Product Officer at Dremio. Dremio is a high-performance SQL lakehouse platform that helps companies get more from their data in the fastest way possible. Prior to Dremio, Tomer served as VP of Product at MapR and also held product management and engineering roles at Microsoft and IBM Research. He also has a master&rsquo;s degree from Carnegie Mellon University as well as a bachelor&rsquo;s from Technion - Israel Institute of Technology.
In this episode, Tomer and Sam dive into the economics of storing data, how to build an open architecture, and what exactly a data lakehouse is.

This episode features an interview with Prukalpa Sankar, Co-Founder of Atlan. Atlan is a venture-backed startup building a modern data workspace. Prukalpa also co-founded SocialCops, a data for good company behind landmark projects such as India&rsquo;s National Data Platform. Prukalpa is a recognized industry leader, landing on the Forbes 30 Under 30 list and Fortune&rsquo;s 40 Under 40.In this episode, Prukalpa and Sam discuss how diversity is a data team&rsquo;s biggest strength, why governance isn&rsquo;t always a bad thing, and what they hope the modern data stack will look like in 5 years.

This episode features an interview with Joseph Jacks, Founder and General Partner of OSS Capital. OSS Capital is the first and only COSS (Commercial Open Source Software) company investor that focuses on supporting early-stage COSS founders. Joseph, also known as JJ, has worked at Mesosphere, TIBCO Software, and Talend in various sales, engineering, and strategy roles.
In this episode, JJ and Sam weigh the trade-offs of open and closed core companies and discuss how each can go public. JJ also dives into the misconception of trust equating privacy within tech.

<div>This episode features an interview with Martin Traverso, CTO at Starburst Data and Co-founder of Trino, a lightning fast distributed SQL query engine. Martin was previously a software engineer at Facebook where he led the Presto (now Trino) development team. Trino has gained worldwide adoption from companies like Netflix, Amazon, and LinkedIn.&nbsp;</div>
In this episode, Martin sits down with Sam to discuss the barriers, advantages, and complications of going open-source.

Join Open||Source||Data producer Audra Montenegro as she and Sam cover highlights and takeaways from the ten episodes of season two. And get a sneak peak of what's in store for season three!

Join CEO of Featureform, Simba Khadder as he talks with Sam about how versioning, immutability, and sharing will accelerate ML workflows. Tune-in on state of the art collaboration in data teams, and the power of focusing on your north star.

How can we make data 10X more accessible for data-driven people within data-driven companies? Tune in to Mark and Sam discussing probabilistic product management, and the emerging metadata ecosystem.

How can we evolve an expanding ecosystem of data technologies while making sense of the whole? Tune in to LinkedIn DataHub, and Acryl Data founder,&nbsp;Shirshanka Das, as he and Sam have a discussion on metadata at the center and specialization at the edge to sustainably scale data governance.

Data discovery is one of the hardest problems to solve in data management in general and comes up as a major pain point in most data mesh discussions. Tune in to this all-star expert panel recorded in collaboration with the Data Mesh community, and hosted by a previous Open||Source||Data podcast guest, Paco Nathan of&nbsp;<a href="http://derwen.ai/">Derwen.ai</a>. Paco engages panelists, Shinji Kim (Select Star), Sophie Watson (Red Hat), Mark Grover (Stemma), and Shirshanka Das (Acryl Data) in a 60-minute discussion on not only Data Mesh, but other data strategies and process needs for the data discovery future.

DATA MESH LEARNING panel hosted by Paco Nathan | Derwen, Inc.

It’s 2 AM - do you know what your models are doing? Listen to Elena Samuylova as she talks with Sam&nbsp;about how to bridge the critical gaps between data scientists, engineers, and business managers using tooling and empathy.&nbsp;Learn how to design for ​ diverse expectations, and more!

What's the future of open source and distributed systems? Google Fellow &amp; VP of Infrastructure Eric Brewer, Observable CEO Melody Meckfessel, and DataStax Chief Strategy Officer Sam Ramji explore the state of the art, the near future, and grand challenges for the next decade in cloud-native data.

​​​​​​Dealing with data hyperabundance, solving economic problems for businesses and changing lives for the better. Tune-in to Managing Director at Zetta Venture Partners, Jocelyn Goldfein as she and Sam have a discussion around engineering leadership, organizational graph structures, and productization of AI.

What if you could version object storage just like code? Tune in to Einat Orr as she explains how CI/CD and data lineage are being transformed through versioning data, enabling sandboxes, safe rollbacks, and coherent history.

Learn how an accelerating abundance of data can be harnessed through telemetry. Tune-in while Shinji Kim and Sam explore opening data to more users, PageRank for tables, and pragmatic use of data lineage to find value.

Barr Moses discusses with Sam about bringing DevOps into Data Engineering, building a data startup, and letting joy guide your way to creating impact. Learn how being data-driven depends on systems of people and trust.

Wrapping up Season 1, Open||Source||Data producer Audra Montenegro Carter joins Sam Ramji in a conversation about the inspiration and behind-the-scenes production of the podcast, touching upon the top takeaways and lessons learned with Season 1 guests from AWS, Microsoft, Deloitte, Observable, and much more.

Join Data Institute's Managing Director, Jesse Anderson to learn how data teams are changing in response to the overwhelming demand for data products. Tune in as he and Sam discuss bringing software engineering into the domain of data - and why he wrote&nbsp;<a href="https://www.datateams.io/">Data Teams</a>.

Join Dave and Sam as they discuss data sets evolving from finite to infinite, and finding the needle in the haystack with math. Listen to Dave talk about cutting edge data problems and the essential need for curious people.

Data Science player and coach, Author, and Venture Amplifier Paco Nathan talks with Sam Ramji about Hybrid AI, mathematical reversibility, and using AI to solve knowledge problems that the exponential growth of data will create for years to come. Join these two as they discuss how you can bring multiple data disciplines together using empathy and math.

Analytics manager, and Women in Data podcast producer and host Karen JEAN-FRANCOIS walks us through the differences between Data Science and Analytics. Join her and Sam as they discuss valuable skills you’ll need when transitioning to a career in Data Analytics. Hear Karen’s perspective on the benefits of thinking differently and having a mentor to guide you through transitions.

Stanford Professor and Co-Founder /&nbsp;Director of WiDS, Margot Gerritsen joins Sam Ramji in a conversation about how a data community provides global connectivity, and how learning is all about seeking discomfort with uncertainty and ambiguity. Learn how data is the new gold, but rather than sitting on the mine - share the wealth through a career in Data Science.

&nbsp;·&nbsp; <a href="https://www.widsconference.org/" style="font-size:1em;text-decoration:underline;">Register for the next WiDS</a> Worldwide Initiative, happening March 8. 
&nbsp;·&nbsp; Email Margot with any questions at <a href="https://www.datastax.com/mailto:margot.gerritsen@stanford.edu" style="font-size:1em;text-decoration:underline;">margot.gerritsen@stanford.edu</a>
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With data comes DBAs and with Kubernetes comes SREs. Listen in as Patrick McFadin and Sam discuss what’s in store in 2021 for Data on Kubernetes, how experienced DBA roles can evolve into very effective SREs, and why today is THE day to learn Kubernetes.

From a 10-page white paper to creating one of the first University OSPOs - Stephen Jacobs will take us through the 12 years of work it took him to launch a program like Open@RIT. Join Stephen and Sam as they discuss the impact an OSPO&nbsp;has on students' futures, as well as a University's surrounding communities.

Beyond The Data Lake&nbsp;was Director of Emerging Technologies at ThoughtWorks,&nbsp;Zhamak Dehghani's 2017 paper that was a guiding light for Sam Ramji at another point in his career. Listen to how a Data Mesh allows the composition of multi-model data across an organization and beyond.

How do we create free and open data sets that are trustworthy? Microsoft Azure’s Principal Program Manager Lachlan Evenson and Sam Ramji discuss standards for accessing data, and the magic that can happen with data on Kubernetes.

Inspire, collaborate, and solve together. Principal Engineer,&nbsp;Kelsey Hightower joins Sam Ramji to discuss the future of Data and Kubernetes, and what it means to participate in a welcoming developer community, while igniting positive growth.

Sam invites Rachel Chalmers, an investor, advisor, and technology industry analyst for over 20 years, for a candid conversation about the DevOps culture of shared purpose and blamelessness. Sam and Rachel explore how process, trust, and care for each other creates more innovation and gives us the opportunity to change and grow as human beings.

<a href="https://www.alchemistaccelerator.com/podcasts" style="color:#055992;" target="_blank">AXII Podcast</a>

Matt Asay shares his journey through open source and behind-the-scenes stories on what gives these communities their strength: its people and their voices.

Behind every great product is a great story. Sam invites Google Staff Technical Writer Patricia Boswell to discuss her role of technical writing in software and the importance of using narrative as a North Star when designing a product.

What can we learn from cloud-native development and how can we share that with developers, engineers, product owners, and product managers of the new world? Join DataStax Chief Strategy Officer and 25-year open source veteran, Sam Ramji, as he interviews open source innovators who are shaping the future of open source data, open source software, data on Kubernetes, data in DevOps, data in AI, and much more.

2022 AWARD

What can we learn from cloud-native development and how can we share that with developers, engineers, product owners, and product managers of the new world?

Sam Ramji interviews open source innovators who are shaping the future of open source data, open source software, data on Kubernetes, data in DevOps, data in AI, and much more.

Build and scale cloud native apps

Discover the benefits of DBaaS and why your apps deserve an upgrade.

Learn about NoSQL Databases

Learn about NoSQL databases with Apache Cassandra and Astra DB.

2022 Recap: A Year for Customers, Community, and Real-Time Data

Highlights from 2022 and a glimpse into the year ahead.

A Podcast Series With

S5 E7.5
Matthew Wallace, Chief Technology Officer at Faction

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2022 AWARD

New episodes bi-weekly. Get alerted!

Available Episodes

A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey

The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns

The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton

ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann

Upcoming Guests

Guests Bios

Matthew Wallace

Daniel Lenton

Abby Kearns

Demetrios Brinkmann