Cheng H. Lee

Seismic’s AI enablement assistant, Aura Copilot, is now available for early access. Teams can now get faster access to answers and content, automate tedious tasks, and gain insights for better business decisions. Aura also now integrates with Microsoft Teams and Microsoft 365 Copilot to give teams in-the-moment answers and content recommendation. https://lnkd.in/d_mSbDXK

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Check out the latest in our "Debuggability" blog series! This blog is authored by Kevin Downey Jason Johl and me and talks about how we built a Debuggability Paved Road at Intuit using Ephemeral Containers and Argo Workflows. We'd love to hear your thoughts on the topic. Also, what tools do you build as-a-platform to help debug service, compute and network issues in Kubernetes at scale? #intuit #kubernetes #debug

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When looking for a vector database, choosing the right vector search algorithms to establish the proper trade-off between accuracy and speed of vector retrieval is challenging. This article demystifies the foundational concepts of vector search so you can set up your vector database successfully. https://lnkd.in/e-9tfSfh #VectorDB

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Looking to get started with in-database machine learning with MySQL HeatWave? This guide will help get you on the right path. https://lnkd.in/gPjuJU9g

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Hey everyone, I am an investor and advisor to Katanemo.... They are reinventing the infrastructure primitives for GenAI and launched Arch - https://lnkd.in/gCrbbkEV - an intelligent prompt gateway. Give the project a look on Github, and star the project if it resonates

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Worth reading: How the Apache Arrow Format Accelerates Query Result Transfer by Ian Cook One of the hidden problems of intersystem communication is transcription of data formats. Ian does a wonderful job of explaining the "why" of Apache Arrow as well as the "how" of its advantages. Read on...

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Hey folks! I'd like to more formally introduce and talk about a few of the projects we're working on towards improving large-scale bioinformatics analyses (one of which was developed during St. Jude's KIDS24 Biohackathon)! If you're not aware, my team started a project called St. Jude Rust Labs (https://lnkd.in/eXY_9dJ8) where we're rewriting a more foundation for bioinformatics analysis in Rust. This cuts across more than just workflow execution, but, recently, we've been primarily focused on improving the experience of working with the Workflow Definition Language (WDL) at scale. To that end, we've released a number of projects, including: - We've written a complete lexer/parser for WDL v1.2 language (https://lnkd.in/eGWHSM2g). Anyone can use this foundation to build tools for WDL. - We've written a VSCode plugin that includes a language server protocol (LSP) for linting and validation directly in your editor (https://lnkd.in/euApG9tF). - And, announcing today, we've started down the road of writing our own WDL execution engine spread across the Crankshaft (https://lnkd.in/et_RFkA3) and Sprocket (https://lnkd.in/eUTuPE68) projects. Crankshaft was prototyped during the St. Jude Biohackathon last week—it's a _headless_ workflow execution engine, meaning that, in theory, others could come along and write drivers for Crankshaft built on NextFlow, CWL, Snakemake, etc. As I said earlier, our team is really focused on WDL specifically, so we're going to continue building out a "head unit" for Crankshaft using WDL. That being said, I would love to see other community projects popping up and using the core machinery for other workflow languages. Thanks to all of the individuals who participated on our Biohackathon team (Kevin Benton, suchitra chavan, Braden Everson, Andrew Frantz, Michael Gattas, Peter Huene, and John McGuigan)!

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My blog post about what I’ve been working on at Rippling the last year and a bit is live!  Come learn how Rippling Engineering is building data residency for the EU and beyond https://lnkd.in/gy-2ebD7

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Check out both the talks from #posetteconf about pgvector + Python! One from me about pgvector with everything but Django, then one from Paolo Melchiorre on Django: https://lnkd.in/g6ixPn_8 #python #postgresql #pgvector

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Included in this article is the mention of vector databases. Unsurprisingly, Michael Stonebraker and Andy Pavlo feel there is not a need for vector-specific databases. They believe relational databases will adopt their features, which is already happening. Check out the details here: https://lnkd.in/gyq_4WjP

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The talk I gave at Carnegie Mellon University Database Group yesterday is now available on YouTube! I tell the story of Spice AI's journey in building an AI-native Database with Apache DataFusion specifically for data-driven AI and agentic applications. If you're curious about the startup journey, the intersection of data and AI, and how we make that work for agentic applications, check it out! https://lnkd.in/givEfpa3 #databases #data #ai #developers #agents

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Spice AI is hiring Senior and Principal Rust Engineers in Seattle (we're University of Washington CoMotion Labs). You'll work on high-performance data technologies like Apache Arrow, Apache Iceberg, DuckDB, Apache DataFusion, and the intersection of data and AI for data-driven, agentic RAG. Watch my CMU Databases talk to learn more and apply at https://spice.ai/careers #data #ai #developers #apache #datafusiuon #agents #databases

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🚀 Get ready for another Tech Deep Dive! Come learn how to integrate Apache Kafka with RisingWave from Emily L. on August 22! 💻✨ Emily will showcase how RisingWave handles data streams with Kafka topics, finishing with a live demo. 🎫 Don’t miss out—grab your spot here: https://lnkd.in/g6NJF3EP #risingwave #kafka #apachekafka #dataprocessing #streamprocessing

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These are the boring, yet impactful aspects of API operations I am here for--low-tech, economy impacting, real-world stuff like the API deprecation notice from the Department of Labor.

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One of most frequently asked features of Redshift data sharing for simplifying lake house use cases. Redshift now has ability to seamlessly share data lake tables and views that span data lake and data warehouse data.

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Wrote a post on how we're thinking about semantic modeling at Sigma, specifically focused on a GUI-based model, flexibility, integrations, and (of course) leveraging them for AI. Curious what folks think. Do these points resonate? Am I missing something important? Want to chat more about the topic in general? Let me know! https://lnkd.in/gnqtxnY3

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Have been having a lot of fun digging into reading material about AI and ML! What a great quote and picture from "On the Opportunities and Risks of Foundation Models" (https://lnkd.in/d2ZkR-dU), and so interesting to map technology emergence/homogenization to the products we're all using and developing 😄 “The story of AI has been one of increasing emergence and homogenization. With the introduction of machine learning, how a task is performed emerges (is inferred automatically) from examples; with deep learning, the high-level features used for prediction emerge; and with foundation models, even advanced functionalities such as in-context learning emerge. At the same time, machine learning homogenizes learning algorithms (e.g., logistic regression), deep learning homogenizes model architectures (e.g., Convolutional Neural Networks), and foundation models homogenizes the model itself (e.g., GPT-3).” #artificialintelligence #machinelearning #learning #writing #deeplearning #academia

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Just a few weeks after the GA release of Arm64 runners, we’re already seeing our clients achieve noticeable reductions in build times and lower runtime costs. If you're looking to scale your CI/CD operations and accelerate feedback loops, now is the time to explore the benefits of Arm64! Key takeaways: - ⚡ Faster build times to streamline development. - 💰 Cost savings through optimized runtimes. Ready to take your CI/CD to the next level? #CI/CD #Arm64 #DevOps #BuildOptimization #CostEfficiency #ContinuousIntegration target: https://lnkd.in/gY-_n6JJ

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A few weeks ago I re-shared a blog post I wrote about one of my favorite DevRel techniques, Friction Logging. That post covers the basic technique, but there's a lot more you can do with Friction Logs. My 100% favorite advanced Friction Logging technique is the Empathy Session, a group friction logging activity designed to increase the product team's customer empathy. "Let's all do this task together" sounds simple, but after running and watching many sessions I've learned that getting the details right is critical to having a successful and impactful session. Today’s post goes into those details so you can try this with your own team.

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