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Conferences / AI By the Bay

Scale By the Bay 2023

Nov 13–15, 2023 · Scottish Rite Center, Oakland, CA, United States

Conference
AI By the Bay Vendor & industry
Dates
Nov 13, 2023 – Nov 15, 2023
Venue
Scottish Rite Center
Place
Oakland, CA, United States
Format
In person
Status
Past
Attendance
—
Website
scale.bythebay.io
Recorded
20 sponsors · 80 speaker appearances
Notes
'10th Anniversary' edition, theme 'Code and Data in the Age of AI'. Nov 13 LLM workshop (Josh Tobin, Full Stack Deep Learning), Nov 14-15 main event. Keynotes: Gwen Shapira (Nile), Anthony Annunziata (IBM), Leah McGuire (FarosAI), plus a keynote fireside chat with Chris Lattner (Modular). No 2022 edition (site kept 2021 content through Dec 2022). Speakers from the 'Scale By the Bay 2023' YouTube playlist; affiliations from the archived speakers page (partially rendered), homepage and 2023 speaker blog posts, otherwise null. The speakers page credited 'Latency goes sub-second in Apache Spark Structured Streaming' to Karthik Ramasamy (Databricks) but the recording shows Boyang Jerry Peng. Ticket prices not archived.

Ticket prices

No ticket prices recorded

Sponsors 20

Community 11

Other 1

Speakers and talks 80

SpeakerCompanyRoleTalkLinks
Anthony AnnunziuataIBMKeynoteKeynote: AI, Quantum, and AI + Quantum.Video
Chris LattnerModularKeynoteFireside chat with Chris LattnerVideo
Gwen ShapiraNileKeynoteKeynote: Things Databases Don't Do (but should).Video
Leah McGuireFarosAIKeynoteKeynote: LLMs, what are they good for?Video
Alex Klibisz—SpeakerPragmatic, scalable, and ergonomic CI/CD using Github Actions and K8s.Video
Alex Leong—SpeakerFive Years of Cloud Native Rust.Video
Alex Monahan—SpeakerIn Process Analytical Data Management with DuckDBVideo
Alexy Khrabrov—SpeakerOpen-Source AI: Community is the Way.Video
Annie Talvasto—SpeakerKubernetes and MLOps for Scalable and Reproducible Generative AIVideo
Avi Press—SpeakerWhy Haskell is a Terrible Choice for Startups (And Why We Picked It Anyway)Video
Baruch Sadogursky—SpeakerDeveloper Productivity – DIY (with ChatGPT).Video
Bassem Yacoube—SpeakerUsing LangChain and LlamaIndex to customize LLMs...Video
Ben Church—SpeakerCreating Context: Loading your life into a vector databaseVideo
Beyang LiuSourcegraphSpeakerOpen Source AI Coding Assistants: The Future of Software DevelopmentVideo
Boyang Jerry PengDatabricksSpeakerLatency goes sub-second in Apache Spark Structured Streaming.Video
Charles Frye—SpeakerParallel Processors: Past & Future Connections Between LLMs and OS Kernels.Video
Chris Fregly—SpeakerImplementing a Multi-Tenant Generative AI Chatbot.Video
Chris MattesonFermyonSpeakerCost and Performance Optimization of LLM Inferencing.Video
Danica Fine—SpeakerPractical Pipelines: A Houseplant Alerting System with ksqlDB.Video
David Hall—SpeakerLevanter: Legible, Scalable, Reproducible Foundation Models with JAXVideo
Dean WamplerIBMSpeakerOSS vs. Open Source Software: What's Different? What's the Same?Video
Denis Magda—SpeakerToo Far Too Furious: Multi-Region Cloud ApplicationsVideo
Dipankar Mazumdar—SpeakerApache Iceberg.Video
Emmanuel Turlay—SpeakerHow to make ML teams 80% more productive.Video
Eric PeterDatabricksPanelistPanel: Data, Code, and Life with LLMsVideo
Evan Chan—SpeakerLessons Learned: Porting a Streaming Data Pipeline from Scala to Rust.Video
Fabiana ClementeYDataSpeakerUnlocking the Power of Data-Centric AI.Video
Gonçalo Martins Ribeiro—SpeakerUnlocking the Power of Data-Centric AI.Video
Graham McNicollGrowthBookSpeakerOpen Source Warehouse Native A/B Testing.Video
Guang-Jie Ren—SpeakerData management for enterprise-grade foundation models.Video
Isaac Yang—SpeakerNVIDIA FLARE: Federated Learning from simulation to productionVideo
Ivan Perez—SpeakerOpen Source in Space.Video
Jeff Xu—SpeakerHarnessing the Power of Dual Query Engines.Video
Jeremy Smith—SpeakerAging: Evolving Software, Tools, and Ourselves.Video
Jim DowlingHopsworksSpeakerBridging Python and Lakehouse worlds with Arrow Flight and DuckDB.Video
Jonas Mueller—SpeakerKeys to Data-Centric AI: Asking AI to Improve its own Dataset.Video
Josh TobinGantry & Full Stack Deep LearningWorkshopBuilding production-ready LLM-powered applications—
Julien Le Dem—SpeakerTen years of building open source standards.Video
Justin Kaeser—SpeakerTaming the Beast - Better Bazel in IntelliJVideo
Karl WehdenIBMSpeakerAn introduction to Open Accelerated Discovery.Video
Kendall RodenDiagridSpeakerBuilding scalable distributed systems powered by Dapr OSS.Video
Kerim Satirli—SpeakerGaming at Scale: What we learned from building our own multiplayer environmentVideo
Lei Gao—SpeakerHarnessing the Power of Dual Query Engines.Video
Louis Brandy—SpeakerChallenges at the intersection of ML.Video
Manasi VartakVertaSpeakerCan AI Write Its Own Story? Unveiling the Power of Self-Documenting AI.Video
Mary GrygleskiDataStaxSpeakerBoost LLMs with Event Streaming and Retrieval Augmented GenerationVideo
Melissa McKay—SpeakerNavigating a Mined World: Repositories, Registries and Artifact Storages.Video
Miguel BernadinPulze.aiPanelistPanel: Data, Code, and Life with LLMsVideo
Mihai MaruseacGoogleSpeakerModel transparency for AI/ML securityVideo
Nate Slater—SpeakerWhat problems should enterprises actually trust an LLM to solve?Video
Nick Hill—SpeakerEfficiently serving LLMs at scale.Video
Nikita ShulgaMetaSpeakerHow to help yourself and ML community make PyTorch better.Video
Ofer Mendelevitch—SpeakerWhy do LLMs hallucinate?Video
Oleg Avdeëv—SpeakerLesson learned from orchestrating large-scale GenAI, ML & data on k8sVideo
Omar Khattab—SpeakerDSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesVideo
Pardis Noorzad—SpeakerCross-company data exchange for the cloud.Video
Pathikrit Bhowmick—SpeakerFull Stack Scala Web Application.Video
Paul Chiusano—SpeakerTyped and compositional microservices in UnisonVideo
Pete Hunt—SpeakerYour Pipeline as a Function.Video
Pete Skomoroch—PanelistPanel: Data, Code, and Life with LLMsVideo
Riley Hun—SpeakerLesson learned from orchestrating large-scale GenAI, ML & data on k8sVideo
RJ Nowling—SpeakerStreaming Feature Extraction for a ML Pipeline using Memphis.dev and Bytewax.Video
Ryan OrbanCadeaPanelistPanel: Data, Code, and Life with LLMsVideo
Ryan Orendorff—SpeakerBuilding private and secure applications easily.Video
Ryan Wright—SpeakerStreaming Graph Search with Quine.Video
Salar Rahmanian—SpeakerStreamline Your Development WorkflowVideo
Shadaj Laddad—SpeakerHydro: A Stack for Faster Streaming ApplicationsVideo
Shea Hawkins—SpeakerOpen-Source OLAP on Open-Source Data Warehouses.Video
Sherin Thomas—SpeakerRecipe for Building a Discoverable and Governed Data Platform.Video
Sinan Pehlivanoglu—SpeakerOblivious Privacy in a Statically Typed WorldVideo
Stefan Krawczyk—SpeakerHamilton: Natively bringing SWE best practices to python data transformationsVideo
Stewart Stewart—SpeakerPuzzles and Problem Solving with Scala Tooling.Video
Supriya Rao—SpeakerPyTorch 2.1 - New DevelopmentsVideo
Tikhon Jelvis—SpeakerBetter Code Design with Types and Concepts.Video
Tim BerglundStarTreeSpeakerPinot, Why Are You So Fast?Video
Viktor GamovKongSpeakerGateway to the Future: A Brief History of Kubernetes IngressVideo
Wangda Tan—SpeakerRevolutionizing Text Transformation.Video
Yingjun WuRisingWave LabsSpeakerRevolutionizing Text Transformation.Video
Yuan-Ting Hsieh—SpeakerNVIDIA FLARE: Federated Learning from simulation to productionVideo
Zander MathesonBytewaxSpeakerScaling Embeddings in Real-Time.Video

Sources