💡📊 Check out this Q&A with our Chief Product and Engineering Officer, Michael Gilfix, as he discusses the future of GenAI and vector databases with Roberto V. Zicari. In this conversation, Michael explores: 🔍 How RAG architecture and advanced search capabilities are driving new use cases in capital markets. 🚀 What the future holds for GenAI as organizations move beyond 'surface level' usage to transformative applications. 🧠 New features like hybrid search and temporal similarity search (TSS) that are setting benchmarks in the industry. Read the full Q&A session at ODBMS.org: https://lnkd.in/e44jyFCT #KX #ODBMS #GenAI #vectordatabase #AI #Datamanagement #HybridSearch #Innovation #Data
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Unlock the power of your data’s journey. Data lineage is your roadmap to informed decisions. Visualizing data flow is just the beginning. Caveminds goes beyond traditional lineage, adding computation for deeper insights into source systems, transformations, and usage. Ian Eaves, founder of Grai (YC S22), a pioneering data lineage company, joins us on Caveminds to demystify the complexities of data relationships across diverse platforms. As a physicist turned data scientist, Ian offers unique insights into the convergence of disciplines to solve recurring data challenges. Join the conversation now - LINK in the comments! 🔗⬇️ Follow us for more AI insights! #datalineage #datainsights #datavisualization #datainfrastructure #decisionmaking #cavemindspodcast
Forget About Data Problems During Production | Ian Eaves from Grai
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#MANATEE(lm) : « Market Analysis based on language model architectures » is now live on Hugging Face as a #Space thanks to the #ZeroGPU program 🤗 I am very happy and grateful to be part of this initiative to offer more and more open source solutions. Link to the Space : https://lnkd.in/dSQm_B9S Using Polars for parallelized operations, enabling concurrent execution of #data transformations and computations, and Plotly for data visualization, this Space may be an entry point for time series analysis on various domains, including #energy, #healthcare, #climate science 🌍 #LLM #AI #Finance #opensource #GenAI
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New to the open source FiftyOne computer vision toolset? Register for the next hands-on “Getting Started” workshop with Harpreet Sahota 🥑 on June 26 - https://lnkd.in/gpmsY2Q4 In the first part of this free 90 min the workshop we’ll cover: * FiftyOne Basics (terms, architecture, installation, and general usage) * An overview of useful workflows to explore, understand, and curate your data * How FiftyOne represents and semantically slices unstructured computer vision data The second half will be a hands-on introduction to FiftyOne, where you will learn how to: * Load datasets from the FiftyOne Dataset Zoo * Navigate the FiftyOne App * Programmatically inspect attributes of a dataset * Add new sample and custom attributes to a dataset * Generate and evaluate model predictions * Save insightful views into the data #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience
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🗓️ Happening in 30 minutes | 🕒 11:15 AM - 11:35 AM ET Ready to move from AI pilots to production? Join Chad Hendren, Consulting Field Solutions Architect @ Pure Storage, at COLLIDE 2024 and learn how to turn AI experiments into scalable solutions. 👉 Secure your spot now! https://lnkd.in/eDPSxQjA #AIProduction #ExecutiveAI #DataDriven #COLLIDE2024 @Data Science Connect
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How do you scale GenAI applications to support tens of thousands of users? 🤔 Our QuantumBlack team (Jannik Wiedenhaupt, Roman Drapeko, Mohamed Abusaid and Nayur Khan) examine through the lens of what it takes to build a Knowledge Assistant for the enterprise! From the Data Layer to the Application Layer, the team has dived into the architecture, showing how such a knowledge assistant would be structured for quality, speed, and continuous improvements. 🙌 Read this blog post and share your thoughts. 👉 https://lnkd.in/dWKcNjSS #RAG #AIbyMcKinsey #ArtificialIntelligence #MachineLearning #GenerativeAI #MLOps
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New to the open source FiftyOne computer vision toolset? Register for the next hands-on “Getting Started” workshop with Harpreet Sahota 🥑 on June 26 - https://lnkd.in/gXVepSyZ In the first part of this free 90 min the workshop we’ll cover: * FiftyOne Basics (terms, architecture, installation, and general usage) * An overview of useful workflows to explore, understand, and curate your data * How FiftyOne represents and semantically slices unstructured computer vision data The second half will be a hands-on introduction to FiftyOne, where you will learn how to: * Load datasets from the FiftyOne Dataset Zoo * Navigate the FiftyOne App * Programmatically inspect attributes of a dataset * Add new sample and custom attributes to a dataset * Generate and evaluate model predictions * Save insightful views into the data #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience
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New to the open source FiftyOne computer vision toolset? Register for the next hands-on “Getting Started” workshop on July 24 with Harpreet Sahota 🥑- https://lnkd.in/gYsUX2TP In the first part of this free 90 min the workshop we’ll cover: * FiftyOne Basics (terms, architecture, installation, and general usage) * An overview of useful workflows to explore, understand, and curate your data * How FiftyOne represents and semantically slices unstructured computer vision data The second half will be a hands-on introduction to FiftyOne, where you will learn how to: * Load datasets from the FiftyOne Dataset Zoo * Navigate the FiftyOne App * Programmatically inspect attributes of a dataset * Add new sample and custom attributes to a dataset * Generate and evaluate model predictions * Save insightful views into the data #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience
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How do you scale GenAI applications to support tens of thousands of users? 🤔 Our QuantumBlack team (Jannik Wiedenhaupt, Roman Drapeko, Mohamed Abusaid and Nayur Khan) examine through the lens of what it takes to build a Knowledge Assistant for the enterprise! From the Data Layer to the Application Layer, the team has dived into the architecture, showing how such a knowledge assistant would be structured for quality, speed, and continuous improvements. 🙌 Read this blog post and share your thoughts. 👉 https://lnkd.in/dGMzqRTf #RAG #AIbyMcKinsey #ArtificialIntelligence #MachineLearning #GenerativeAI #MLOps
How to Build a Knowledge Assistant at Scale - MLOps Community
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🚀 Pioneering Industries with AI-Powered Geospatial Solutions! With FusionMap, scalability knows no bounds. Whether you're managing a single asset or billions of data points, we've got you covered. Our cutting-edge technology is tailored to meet the demands of asset management, building, geohazard, and transportation sectors, unlocking endless possibilities with the power of AI. 🛠️ Imagine effortlessly navigating through vast datasets, pinpointing critical insights with precision, and optimizing decision-making processes like never before. FusionMap seamlessly integrates with GIS, empowering organizations to harness the full potential of their geospatial data. 📈 Join us on the forefront of innovation as we redefine the landscape of industries worldwide. Explore the future of geospatial intelligence with FusionMap – where AI meets limitless potential. 🌟 #FusionMap #GeospatialRevolution #AIInnovation
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New to the open source FiftyOne computer vision toolset? Register for the next hands-on “Getting Started” workshop with Harpreet Sahota 🥑 on August 21st - https://lnkd.in/gzwZ-Sqv In the first part of this free 90 min the workshop we’ll cover: * FiftyOne Basics (terms, architecture, installation, and general usage) * An overview of useful workflows to explore, understand, and curate your data * How FiftyOne represents and semantically slices unstructured computer vision data The second half will be a hands-on introduction to FiftyOne, where you will learn how to: * Load datasets from the FiftyOne Dataset Zoo * Navigate the FiftyOne App * Programmatically inspect attributes of a dataset * Add new sample and custom attributes to a dataset * Generate and evaluate model predictions * Save insightful views into the data #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience
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