Shannon Koh

Thrilled to share our latest blog from OCI Data Science Team! In this post, we walk through how we built a state-of-the-art enterprise chatbot using the cutting-edge capabilities of OCI Data Science, Oracle Database 23ai, and Oracle Digital Assistant, backed by LLM models with the LangChain pipeline for RAG. From foundational AI models to creating a seamless conversational experience, this blog covers it all. Special thanks to Piyush Gajjariya (Thacker), Tzvi Keisar, Ashutosh Kumar Jha and SriRanjith R from OCI Data Science. Check it out here: [https://lnkd.in/dAudXG4J] #AI #Chatbots #OCIDatascience #EnterpriseAI #Oracle, #OCI, #oracle_database_23ai, #oda, #langchain, #rag, #LLM

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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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Oracle today announced the general availability of HeatWave #GenAI, including in-database LLMs, an automated in-database vector store, and the ability to have human-like contextual conversations in natural language. https://lnkd.in/gK-Q44gc

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The awesomeness of AlloyDB is now available as a fully-managed service on all public clouds !! You can now enjoy the 100% PostgreSQL-compatible database with industry-leading performance and scale for your transactional, analytical and GenAI applications on AWS and Azure too. #alloydb #postgresql #gcp #aws #azure

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I invite you to join me at the Seattle Postgres 2024 Conference! I’m excited to be one of the speakers, presenting two sessions: 1. Converting Your Schema from Oracle, MSSQL, and MySQL to PostgreSQL in Minutes with DataWharf 2. Tips and Tricks for Developers Moving to PostgreSQL I hope to see you there! #PostgreSQL #PostgresConf #Database #OpenSource #SeattleTech

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It's been busy last few months for BigQuery and the Data Analytics team at Google! Check out some of our recent innovation below and start connecting all your data to AI. https://lnkd.in/g3qxbRfk #bigquery

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🚀 💡 Managing cloud costs effectively is crucial for any business. Our latest blog post dives into advanced strategies for optimizing Compute Engine spending. Part two of the series focuses on leveraging committed use contracts and intelligent automation tools to maximize cost-efficiency. By implementing these strategies, businesses can significantly reduce their cloud infrastructure costs while maintaining high performance and scalability. This guide provides practical tips and best practices for optimal resource utilization in your cloud environment. https://ow.ly/UVJ450SszOJ #ComputeEngine #CostOptimization #CloudComputing #ITInfrastructure

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Cheaper, Faster *and* Fully Managed ! Sounds too good to be true ? Check out how AlloyDB for PostgreSQL delivers 2x price/performance and 4x performance compared to Self-managed PostgreSQL. #alloydb #gcp #postgresql

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🚀 🌐 At #GoogleCloudNext, Alphabet CEO Sundar Pichai announced that Google's cloud business now boasts a $36 billion annual run rate. This growth is attributed partly to our investments in AI technology, which powers various applications, from code scanning to enhancing cloud service operations. AI's demand for high-performance GPUs will drive business for cloud providers. The conference also highlighted Google's AI advances, including new generative AI capabilities and the introduction of AI agents designed to perform specific tasks, such as assisting in online shopping. Or to say with The Register: We’re on a highway to ML… https://ow.ly/XVuK50RkSxk #AI #CloudComputing

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Scale at ease, Lower cost & Future proof

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Large Language Models (#LLMs) are evolving rapidly, and the demand for running them at scale is skyrocketing. #Ollama is stepping up to meet this need with its official container image on Docker Hub, excelling in local #deployments. However, there’s a catch for containerized environments: downloading #models requires the ollama serve command to be running within the #container. This extra step complicates automated deployments via #CI #CD #pipelines, making seamless model access challenging. To take your #model to production, it needs to be #container-ready—a feature Ollama has yet to fully support. The gap in #AIOps for smooth deployments gets blurred with the inference services available as an easy way to take it to production. Goal is to overcome obstacles and deliver solutions 😉 so here is to get you started on having your (O)#llama #production ready in a private #deployment from your #local to #cloud all in #oneshot . Enjoy Medium: https://lnkd.in/g9jqBQ8d dev.to: https://lnkd.in/gi_gGwam #AI #LLM #Ollama #llama3 #phi3 #mistral #S6overlay #AIOps #CI #CD #oneshot #container #docker #podmanEnjoy

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Whether or not you attended my talks at the last PostgreSQL Conference in Seattle, I am making all of my notes for "Tips and Tricks for Developers Moving to PostgreSQL" available for everyone. I hope you find them helpful! Tips and Tricks for developers moving to PostgreSQL: https://lnkd.in/gTXnV6tU

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My newest blog post describes how we still work to improve the performance, security, and internal efficiency of the very first #AWS service: "Optimizing Amazon Simple Queue Service (SQS) for speed and scale" - https://lnkd.in/gjjk76Bn

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Super cool News in this August 1st! Snowflake Snowpark Container Services is out in GA on AWS, and on Preview on Azure. What is Snowpark Container Services? ❇ A fully managed container offering designed to facilitate the deployment, management, and scaling of containerized applications within the Snowflake ecosystem. ❇ Enables users to run containerized workloads directly within Snowflake, ensuring that data doesn’t need to be moved out of the Snowflake environment for processing. ❇ Allows for the seamless execution of OCI images, leveraging Snowflake’s robust data platform. This is a nice news as it allows many use cases in Production, your applications and LLMs inside your own container and Snowflake applications that use SCS. Well, you can now compute pretty much anything close to the data. No more data moving around. #snowflake #infostrux #datasuperhero #snowflake_advocate #containers #kubernetes https://lnkd.in/gefkeh_M

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If you'll be at the #DataAISummit, join Ashok Singamaneni and myself (Scott Haines) as we teach you the ropes of building "Effective Lakehouse Streaming with Delta Lake and Friends". https://lnkd.in/gqmcJmRC We'll be teaching lessons learned (the hard way), and showing how streaming-first is the correct fit for "most" if not all your workflows. Learn to leverage #DeltaLake like an expert, and we'll introduce you to some effortless patterns for making your streaming journey a breeze. You'll also hear from Ashok Singamaneni as we talk about how to leverage painless workflow orchestration with #brickflow, and how to build data trust-networks using #sparkexpectations. #spark #deltalake #sparkexpectations #brickflow #nike #oss #dataai

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