In this episode, Conor interviews speakers & organizers live from Lambda Days 2023! Link to Episode 134 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachGuests Interviewed Barbara TrojeckaBecca WilliamsJordan MillerSimon Peyton JonesShow Notes Date Recorded: 2023-06-06 Date Released: 2023-06-16 Lambda Days 2023 WebsiteLambda Days on TwitterLambda Days on LinkedInLambda Days on FacebookErlang LanguageElixir LanguageScala LanguageFunctional Females on LinkedInBecca Williams on LinkedInBecca Williams on TwitterOlivia Smith on LinkedInOlivia Smith on TwitterLost in Lambdauhhs PodcastJordan Miller - Cognicast Episode 165defn PodcastClojure CampClojure for the Brave and TrueClojure Languagewww.plrank.comThreading Macros in ClojureLambda Days 2023: Opening Keynote - Beyond functional programming - Simon Peyton Jones & Tim SweeneyVerse Language“Shaping our children’s education in computing” by Simon Peyton JonesBeyond Functional Programming: The Verse Programming Language (Simon Peyton Jones)Lambda Days 2023: Bringing LAMBDA to Excel - Jack WilliamsLAMBDA in ExcelKeynote: Excel meets Lambda - Andy Gordon, Simon Peyton Jones | Lambda Days 2021Download Excel LabsSimon Peyton Jones Home PageRemora LanguageHaskell orthotope Library
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We talked about:
Hugo's background Why do tools and the companies that run them have wildly different names Hugo's other projects beside Metaflow Transitioning from educator to DevRel What is DevRel? DevRel vs Marketing How DevRel coordinates with developers How DevRel coordinates with marketers What skills a DevRel needs The challenges that come with being an educator Becoming a good writer: nature vs nurture Hugo's approach to writing and suggestions Establishing a goal for your content Choosing a form of media for your content Is DevRel intercompany or intracompany? The Vanishing Gradients podcast Finding Hugo online
Links:
Hugo Browne's github: http://hugobowne.github.io/ Vanishing Gradients: https://vanishinggradients.fireside.fm/ MLOps and DevOps: Why Data Makes It Differenthttps://www.oreilly.com/radar/mlops-and-devops-why-data-makes-it-different/ Evaluate Metaflow for free, right from your Browser: https://outerbounds.com/sandbox/
Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
We talked about;
Antonis' background The pros and cons of working for a startup Useful skills for working at a startup and the Lean way to work How Antonis joined the DataTalks.Club community Suggestions for students joining the MLOps course Antonis contributing to Evidently AI How Antonis started freelancing Getting your first clients on Upwork Pricing your work as a freelancer The process after getting approved by a client Wearing many hats as a freelancer and while working at a startup Other suggestions for getting clients as a freelancer Antonis' thoughts on the Data Engineering course Antonis' resource recommendations
Links:
Lean Startup by Eric Ries: https://theleanstartup.com/ Lean Analytics: https://leananalyticsbook.com/ Designing Machine Learning Systems by Chip Huyen: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/ Kafka Streaming with python by Khris Jenkins tutorial video: https://youtu.be/jItIQ-UvFI4
Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
In this episode, Conor interviews speakers & attendees live from Lambda Days 2023! Link to Episode 133 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachGuests Interviewed Toby PfiefferKim HuizingAlexis KingJosé ValimAndor PénzesPeer StritzingerShow Notes Date Recorded: 2023-06-06 Date Released: 2023-06-09 Lambda Days 2023Elixir LanguageElixir Benchee Benchmarking LibraryRuby Berlin User Group MeetingLambda Days 2023: Stories In Open Soure - Toby PfeifferLambda Days 2018 - Tobias Pfeiffer - Stop Guessing and Start Measuring - Benchmarking in PracticeDevon Estes - Digging through the garbage - Code BEAM Lite Berlin 18Scala LanguageAWK LanguageAlexis King’s BlogLambda Days 2023: Delimited Continuations Demystified - Alexis KingZuriHac 2023: Delimited Continuations Demystified - Alexis KingRacket LanguageSlideshow LanguageLambda Days 2023: Meta-programmable functional notebooks with Livebook - José ValimThinking Elixir PodcastLambda Days 2021: Introducing Nx - José ValimElixir NxElixir LiveBookElixir PhoenixElixir MembraneKeynote: Celebrating the 10 Years of Elixir | José Valim | ElixirConf EU 2022Elixir ForumSponsor: Evolution EngineeringLambda Days 2023: Examples of easy dependently typed programming (in Idris) - Andor PénzesType Driven Development by Edwin BradyFunctional FemalesGRiSPErlang LanguageWhatsApp acquired for 19BGRiSP on TwitterIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you
We talked about:
Bart's background What is data governance? Data dictionaries and data lineage Data access management How to learn about data governance What skills are needed to do data governance effectively When an organization needs to start thinking about data governance Good data access management processes Data masking and the importance of automating data access DPO and CISO roles How data access management works with a data mesh approach Avoiding the role explosion problem The importance of data governance integration in DataOps Terraform as a stepping stone to data governance How Raito can help an organization with data governance Open-source data governance tools
Links:
LinkedIn: https://www.linkedin.com/in/bartvandekerckhove/ Twitter: https://twitter.com/Bart_H_VDK Github: https://github.com/raito-io Website: https://www.raito.io/ Data Mesh Learning Slack: https://data-mesh-learning.slack.com/join/shared_invite/zt-1qs976pm9-ci7lU8CTmc4QD5y4uKYtAA#/shared-invite/email DataQG Website: https://dataqg.com/ DataQG Slack: https://dataqgcommunitygroup.slack.com/join/shared_invite/zt-12n0333gg-iTZAjbOBeUyAwWr8I~2qfg#/shared-invite/email DMBOK (Data Management Book of Knowledge): https://www.dama.org/cpages/body-of-knowledge DMBOK Wheel describing the data governance activities: https://www.dama.org/cpages/dmbok-2-wheel-images
Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
In this episode, Conor and Bryce chat about the Rust Conf drama and other upcoming conferences. Link to Episode 132 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachShow Notes Date Recorded: 2023-05-31 Date Released: 2023-06-02 Programming Languages Festival (Feb 2024) KickStarterRustConfRustConf Drama (ThePhd’s Post)ThePhd on TwitterJT’s PostCppNorthRust FoundationRust Trademark DebacleCrabLangGCC Front-End For RustCrystal LanguageLambdaDays 2023Italian C++ 2023HaskellElixirBryce’s Haskell TweetArrayCast Episode on KX ConC++NowIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8
We talked about:
Boyan's background What is data strategy? Due diligence and establishing a common goal Designing a data strategy Impact assessment, portfolio management, and DataOps Data products DataOps, Lean, and Agile Data Strategist vs Data Science Strategist The skills one needs to be a data strategist How does one become a data strategist? Data strategist as a translator Transitioning from a Data Strategist role to a CTO Using ChatGPT as a writing co-pilot Using ChatGPT as a starting point How ChatGPT can help in data strategy Pitching a data strategy to a stakeholder Setting baselines in a data strategy Boyan's book recommendations
Links:
LinkedIn: https://www.linkedin.com/in/angelovboyan/ Twitter: https://twitter.com/thinking_code Github: https://github.com/boyanangelov Website: https://boyanangelov.com/
Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
In this episode, Conor and Bryce chat with Ben Deane and Tristan Brindle about which algorithm is the most fundamental of all algorithms! Link to Episode 131 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guests Ben Deane has been programming in C++ for this whole millennium. He spent just over 20 years in the games industry working for companies like EA and Blizzard; many of the games he worked on used to be fondly remembered but now he’s accepted that they are probably mostly forgotten. After getting more interested in modern C++, in the teens he started giving internal company talks and then talks at various conferences, spreading ideas about types, algorithms and declarative and functional techniques. Tristan Brindle a freelance programmer and trainer based in London, mostly focussing on C++. He is a member of the UK national body (BSI) and ISO WG21. Occasionally I can be found at C++ conferences. He is also a director of C++ London Uni, a not-for-profit organisation offering free beginner programming classes in London and online. He has a few fun projects on GitHub that you can find out about here. Show Notes Date Recorded: 2023-05-16 Date Released: 2023-05-26 ADSP Episode 130: C++Now 2023 with Ben Deane & Tristan Brindle!C++17 std::reducezip_fold_while (No Link)scan_whileWhat Do You Mean by “Cache Friendly”? - Björn Fahller - C++ on Sea 2022b-treeValgrindC++Now 2023: Composition on Tiny Embedded Systems - Luke ValentyCppCon 2016: Jason Turner “Rich Code for Tiny Computers: A Simple Commodore 64 Game in C++17”Thrust Docsunfold (A tutorial on the universality and expressiveness of fold)C++20 std::views::iotaHaskell iterateCatamorphismsAnamorphismsJ cutRecursion SchemesHylomorphismC++ thrust::counting_iteratorC++ thrust::transform_iteratorC++NowCppNorth
We talked about:
Katharine's background Katharine's ML privacy startup GDPR, CCPA, and the “opt-in as the default” approach What is data privacy? Finding Katharine's book – Practical Data Privacy The various definitions of data privacy and “user profiles” Privacy engineering and privacy-enhancing technologies Why data privacy is important What is differential privacy? The importance of keeping privacy in mind when designing systems Data privacy on the example of ChatGPT Katharine's resource suggestions for learning about data privacy
Links:
LinkedIn: https://www.linkedin.com/in/katharinejarmul/
Twitter: https://twitter.com/kjam
Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
In this episode, Conor and Bryce chat with Ben Deane and Tristan Brindle about C++Now 2023! Link to Episode 130 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guests Ben Deane has been programming in C++ for this whole millennium. He spent just over 20 years in the games industry working for companies like EA and Blizzard; many of the games he worked on used to be fondly remembered but now he’s accepted that they are probably mostly forgotten. After getting more interested in modern C++, in the teens he started giving internal company talks and then talks at various conferences, spreading ideas about types, algorithms and declarative and functional techniques. Tristan Brindle a freelance programmer and trainer based in London, mostly focussing on C++. He is a member of the UK national body (BSI) and ISO WG21. Occasionally I can be found at C++ conferences. He is also a director of C++ London Uni, a not-for-profit organisation offering free beginner programming classes in London and online. He has a few fun projects on GitHub that you can find out about here.
Show Notes
Date Recorded: 2023-05-16 Date Released: 2023-05-19 ADSP Episode 24: C++Now 2021 with Ben Deane & Tony Van EerdADSP Episode 29: From Papa John’s to Google (Part 1)ADSP Episode 58: Otto & Eric Niebler! (Part 1)Conquering C++20 Ranges - Tristan Brindle - CppCon 2021libc++C++NowBen Deane Talk PlaylistC++Now 2018: Ben Deane “Easy to Use, Hard to Misuse: Declarative Style in C++”Sean Parent’s C++ SeasoningDeclarative thinking, declarative practice - Kevlin Henney - Meeting C++ 2017CppCon 2016: Ben Deane “std::accumulate: Exploring an Algorithmic Empire”C++Now 2023: Calendrical C++: std::chrono, History, Mathematics and the Computus - Ben DeaneC++Now 2023: Speeding Date: Implementing Fast Calendar Algorithms - Cassio NeriLeap YearsC++Now 2023: Applicative: the Forgotten Functional Pattern - Ben DeaneC++Now 2019: Ben Deane “Identifying Monoids: Exploiting Compositional Structure in Code”C++Now 2023: What is Low Latency C++? (Part 1) - Timur DoumlerMonoids, Monads, and Applicative Functors: Repeated Software Patterns - David Sankel - CppCon 2020Intro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download: http://bit.ly/l-miss-you
We talked about:
Arseny's background Working on machine learning in startups What is Machine Learning System Design? Constraints and requirements Known unknowns vs unknown unknowns (Design stage) Writing a design document Technical problems vs product-oriented problems The solution part of the Design Document What motivated Arseny to write a book on ML System Design Examples of a Design Document in the book The types of readers for ML System Design Working with the co-author Reacting to constraints and feedback when writing a book Arseny's favorite chapter of the book Other resources where you can learn about ML System Design Twitter Giveaway
Links:
Book: https://www.manning.com/books/machine-learning-system-design?utm_source=AGMLBookcamp&utm_medium=affiliate&utm_campaign=book_babushkin_machine_4_25_23&utm_content=twitter Discount: poddatatalks21 (35% off)
Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
In this episode, Conor and Bryce chat about the new pipeline operator in Circle! Link to Episode 129 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachShow Notes Date Recorded: 2023-05-10 Date Released: 2023-05-12 Circle CompilerCircle Implements |> OperatorP2672 Exploring the Design Space for a Pipeline OperatorHow to Implement Your First Compiler Feature:The Story of Concepts in Clang - Saar Raz - CppCon 2019P0931 Structured bindings with polymorphic lambasAdvice to replace g++ with circle for CMake projectsCircle Godbolt LinkIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8
ABOUT THE TALK: In this talk, we discuss cleanlab open-source (github.com/cleanlab/cleanlab) and Cleanlab Studio (https://cleanlab.ai/studio). Cleanlab open-source is a fast-growing python framework for data-centric AI that automatically detects issues in ML datasets. Cleanlab Studio is a no-code web interface used by universities and fortune 500 companies for dataset issue detection and fixing. Cleanlab algorithms have theoretical support for improved accuracy on real-world, messy data.
ABOUT THE SPEAKER: Curtis Northcutt is an American computer scientist and entrepreneur focusing on machine learning and AI to empower people. He is the CEO and co-founder of Cleanlab, an AI software company that improves machine learning model performance by automatically fixing data and label issues in real-world, messy datasets. Curtis completed his PhD at MIT where he invented Cleanlab’s algorithms for automatically finding and fixing label issues in any dataset.
ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.
Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.
FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/
ABOUT THE TALK: In this talk, Hamel Hussain discusses innovative approaches and tools for software development, their history, and future directions. He dives into the historical threads upon which these new approaches are built, talks about nbev, a popular open-source project that implements many of these ideas. He also shares learnings from building nbdev, along with challenges and future directions.
ABOUT THE SPEAKER: Hamel Hussain is an entreprenuer-in-residence at fast.ai, where he is building new software development tools like nbdev. Prior to fast.ai, Hamel was a machine learning engineer at companies like Airbnb, GitHub, and DataRobot, and other related roles in management consulting.
ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.
Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.
FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/
ABOUT THE TALK: A thoughtful discussion between AI heavyweights on what to expect in this present age of AI. The moderator will draw on their own personal experience and insight to serve up some awesome queries (#wired).
ABOUT THE SPEAKERS: Gregory Larson is the VP of Engineering at Jasper. He joined the company to build out the organization and invest in making AI a part of every creative's workflow.
In past positions Greg was the head of engineering at Divvy Pay and ObservePoint, and he led development and AI projects at Adobe, Jive/LogMeIn, and Microsoft.
Idan Gazit is a Senior Director of Research at GitHub Next, leading the Developer Experiences team. He is a hybrid designer-developer, and can usually be found geeking out about the Web, data visualization, typography, and color
Barry McCardel is the CEO and co-founder of Hex. In past positions Barry has worked at TrialSpark and Palantir Technologies.
George Mathew is the Managing Director at Insight Partners focused on venture stage investments in AI, ML, Analytics, and Data companies as they are establishing product/market Fit.
He brings 20+ years of experience developing high-growth technology startups including most recently being CEO of Kespry.
Sean Owen is the Principal Specialist for Data Science and ML at Databricks.
ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.
Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.
FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/
ABOUT THE TALK: What does it take to design successful products around AI capabilities? Achieving acceptable reliability is often not about model improvements and fine-tuning. A holistic approach to building AI-powered products requires thinking about how we elicit context from users, how we prompt the models, how we decide to measure the goodness of results, and how the interaction models we use weave intelligence into experiences.
GitHub Next is the birthplace of products like GitHub Copilot and is currently exploring the frontiers of AI assistance for the entire software development lifecycle. In this talk, Idan Gazit shares some practical learnings from experience building and shipping these prototypes and successful interactions with the broader business.
ABOUT THE SPEAKER: Idan Gazit is a Senior Director of Research at GitHub Next, leading the Developer Experiences team. He is a hybrid designer-developer, and can usually be found geeking out about the Web, data visualization, typography, and color. He lives in the East Bay with his family and surrounds himself with a rotating cast of half-finished projects.
ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.
Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.
FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/
ABOUT THE TALK: With more and more demand for data pipelines and applications to go real-time it can get overwhelming. This talk demystifies the when, why, and how of moving from batch processing to real-time/stream processing. We will look at arguments for and against stream processing, common architectures, common pitfalls, and open source tools used.
ABOUT THE SPEAKER: Zander Matheson is the founder and CEO of Bytewax, an open source software company focused on enabling more developers to work with streaming data. Before starting Bytewax he worked on data infrastructure and data science at GitHub and Heroku.
ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.
Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.
FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/
In this episode, Conor and Bryce chat about the GCC 13.1 release and our upcoming conferences! Link to Episode 128 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachShow Notes Date Recorded: 2023-05-03 Date Released: 2023-05-05 C++Now 2023GCC 13.1 ReleaseRange-v3 LibraryTweet with link to already compiled GCC 13.1Core C++ 2023O3DCON 2022: Keynote C++ Horizons Bryce Adelstein LelbachCode EuropeC++ On Sea ConferenceKX Con 2023LambdaDays 2023Italian C++ 2023Circle CompilerCircle Implements |> OperatorCppNorthIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8
In this episode, Conor and Bryce continue to chat with Tristan Brindle about his new library Flux, ChatGPT and more. Link to Episode 127 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guest Tristan Brindle a freelance programmer and trainer based in London, mostly focussing on C++. He is a member of the UK national body (BSI) and ISO WG21. Occasionally I can be found at C++ conferences. He is also a director of C++ London Uni, a not-for-profit organisation offering free beginner programming classes in London and online. He has a few fun projects on GitHub that you can find out about here.
Show Notes
Date Recorded: 2023-04-05 Date Released: 2023-04-28 ADSP Episode 125: NanoRange with Tristan BrindleADSP Episode 126: Flux (and Flow) with Tristan BrindleChatGPTcwhyChatDBGcommentator“Performance Matters” by Emery Berger“Python Performance Matters” by Emery Berger (Strange Loop 2022)Tristan’s Tweet about scanTristan’s Tweet with flux solutions to MCOArrayCast Episode 48 Henry Rich Reveals J with Threads J9.4J Fold’stop10 GitHub RepoHaskell’s mapAdjacentblackbird C++ Combinator LibraryC++ On Sea ConferenceCppNorthIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8
We talked about:
Johannes’s background Johannes’s Open Source Spotlight demos – Refinery and Bricks The difficulties of working with natural language processing (NLP) Incorporating ChatGPT into a process as a heuristic What is Bricks? The process of starting a startup – Kern Making the decision to go with open source Pros and cons of launching as open source Kern’s business model Working with enterprises Johannes as a salesperson The team at Kern Johannes’s role at Kern How Johannes and Henrik separate responsibilities at Kern Working with very niche use cases The short story of how Kern got its funding Johannes’s resource recommendation
Links:
Refinery's GitHub repo: https://github.com/code-kern-ai/refinery Bricks' Github repo: https://github.com/code-kern-ai/bricks Bricks Open Source Spotlight demo: https://www.youtube.com/watch?v=r3rXzoLQy2U Refinery Open Source Spotlight demo: https://www.youtube.com/watch?v=LlMhN2f7YDg Discord: https://discord.com/invite/qf4rGCEphW Ker's Website: https://www.kern.ai
Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html