Seann Gardiner

Looking to build a multi-query RAG pipeline? See how it can be done in 20 minutes using #Langflow. ⬇️ #RAGApplications #AIApplications #Langflow https://ow.ly/7es750TluoP

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So you've looked at DocAI and thought it had to be a very difficult and expensive way to tackle GenAI? Well, with Snowflake Arctic-TILT think again! #ArticTILT easily extracts content, like invoice amounts or contract terms, from documents via a built-in, multimodal large language model (LLM) we call Snowflake Arctic-TILT (Text Image Layout Transformer). Users now have a way of interacting with unstructured data that simplifies the setup and deployment, enabling users without any machine learning background to effortlessly package model builds for high-value, enterprise-scale extraction tasks. #LLM #GenAI #Snowflake #AI #multimodal

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#SemanticModels are incredibly important to #NLQ and #BI initiatives. But building a semantic model on data in Snowflake, Databricks or #BigQuery can prove time-consuming. With AtScale you can now automatically generate a semantic model in one click to deliver value from your data initiatives even faster! https://lnkd.in/g_Kjvc4Y

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Ever wondered who benefits from data cataloging? Well, it's more than just the #CDOs, and it can do more than just helping users find, identify and classify datasets. Informatica explains it all here:  https://infa.media/4fC49p3 #datacatalogs 

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Meet Llama 3.2 on Databricks: faster and now multi-modal. The Llama 3.2 release pushes the frontier of enterprise #GenAI with new smaller models for latency + cost-sensitive use cases and larger multimodal models for visual understanding. Customers can easily get started tuning the Llama 3.2 models securely and efficiently on their data. Available today in Databricks Mosaic AI. 

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Our commitment to AI-driven solutions and strong alliances with Snowflake and Databricks are enabling significant advancements in data management and analytics. Check out this SiliconANGLE & theCUBE article where Rob Strechay and George Gilbert discuss how Informatica remains at the forefront of data management, consistently driving innovation and customer success:

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Join PyTorch at Snowflake's #DataCloudDevDay on June 6 in San Francisco to learn how to accelerate GenAI performance with Native PyTorch. Register: https://hubs.la/Q02xQStt0

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Read this great story from hipages Group on how they overcame challenges including legacy data systems slowing productivity and insight, requiring days to transition data between multiple warehouses. Partnering with Databricks hipages overcame these hurdles by transforming their data architecture into a single lakehouse architecture, enhancing both speed and reliability.  “We were able to tackle all our platform, productivity and insights challenges by migrating to a single platform, Databricks. Our architecture is more streamlined and our data users are more autonomous.” — Minas Kamel, Senior Product Manager, hipages #data #ai #lakehouse https://lnkd.in/gfXSqNSy

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Snowflake Polaris: POC Status 2. Branching, tagging, branch fast-forwarding, expiring snapshots, and all other maintenance procedures are working smoothly without any issues. I’m hopeful that Snowflake will assist with the issues I’m experiencing related to add_files and register_table procedures. Snowflake Dremio ambariCloud Today's Quote: Arrogance has toppled empires.

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We’re excited to partner with Anthropic to bring the latest Claude models to customers in Snowflake Cortex AI. With Claude, enterprises can build cutting-edge generative AI apps, copilots, agents, and more — while benefiting from Snowflake’s industry-leading platform as their data foundation! Learn more: https://okt.to/1qeBvc

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Are you at the Snowflake #datacloudsummit2024 in SF tomorrow (June 5)? I am! Let's catch up and chat about how MinIO & Snowflake can make your life cooler.

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Well written piece in Solutions Review by Tim King Why You Should Attend 🧠 For data engineers: Broaden your knowledge and expand your skills by learning from industry experts and your peers how to deliver high-quality, reliable data for every use case from BI to AI. 🧠 For data scientists: Learn how lakehouse and tools like MLflow can accelerate productionization of models, increase productivity, reduce risk and increase ROI on new models. 🧠 For data architects: Architects require a future-proof, unified platform that facilitates all analytics and AI on one data copy, catering to diverse data types while ensuring organization-wide security and governance. 🧠 For data executives: Learn how the lakehouse architecture unifies data, analytics and AI on a single platform for better performance, lower TCO and faster innovation. There is still time to register! https://lnkd.in/gKQ_84Sh https://lnkd.in/gYHDwHb5

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Nate Nichols has been researching, building and deploying AI systems for 15 years. He does a great job breaking down the basics to help you with an AI roadmap to get started in your organization. Watch Nate and reach out if you want to learn more!

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Curious about life on Elastic's FP&A team? Check out this insightful video by PowerToFly featuring Mariel Mauss, Finance Director at Elastic, as she discusses the team's impactful work and the crucial role diversity plays in their success. Discover why Elastic might be your perfect career move in finance! https://gag.gl/XtDQoM

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Meet Llama 3.2 on Databricks: faster and now multi-modal. The Llama 3.2 release pushes the frontier of enterprise #GenAI with new smaller models for latency + cost-sensitive use cases and larger multimodal models for visual understanding. Customers can easily get started tuning the Llama 3.2 models securely and efficiently on their data. Available today in Databricks Mosaic AI. 

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Everything's in this picture! If you're at Snowflake #DataCloudSummit, we're waiting for you at booth 1510 to talk #Enterprise #AI and #datascience. We'll show you how many customers leverage their data stored in #snowflake to drive AI-powered (predictive or generative) mission-critical applications #machinelearning #generativeAI #responsibleAI #ml #mlops #enterpriseAI #AIatscale

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This week marked a watershed moment for Snowflake: We launched #SnowflakeArctic, a state-of-the-art large language model uniquely designed to be the most open, enterprise-grade LLM on the market. Arctic not only outperforms many leading open models, but we brought it to market at one-eighth of the cost and in less than three months compared to other models. Arctic will significantly enhance our ability to deliver reliable, efficient AI to our customers. By delivering industry-leading intelligence and efficiency in a truly open way to the AI community, we are furthering the frontiers of what open-source AI can do. https://lnkd.in/eueT5Wcs

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Our latest blog post dives into the Day 1 of the ❄ Snowflake #datacloudsummit, with coverage of the opening keynote led by Snowflake CEO Sridhar Ramaswamy, and featuring NVIDIA CEO Jensen Huang. The keynote included announcements on how Snowflake is enabling enterprise-grade AI, followed by a panel discussion with CDOs from some of the biggest companies globally and in the US. https://lnkd.in/g9t6hfRA Read our recap on: - The introduction of Polaris Catalog - Snowflake Artic now supported by NVIDIA TensorRT-LLM - the integration of NeMo Retriever into Snowflake Cortex AI - Highlights from the panel discussion including the changing role of the CDO; their strategies on how to drive data transformations at their organisations; and how different industries are adopting GenAI. #CloudShuttle #dataengineering #techcommunity

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