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Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
How to get Oracle DBA Job as fresher.
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Remote DBA Services
Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
apidays
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
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presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
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Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
The Digital Insurer
We will showcase how you can build a RAG using Milvus. Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source Milvus
Zilliz
We present an architecture of embedding models, vector databases, LLMs, and narrow ML for tracking global news narratives across a variety of countries/languages/news sources. As an example, we explore the real-time application of this architecture for tracking the news narrative surrounding the death of Russian opposition leader Alexei Navalny coming from Russian, French, and English sources.
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Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
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Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
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Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
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MS Copilot expands with MS Graph connectors
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presentation ICT roal in 21st century education
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+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
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Manulife - Insurer Transformation Award 2024
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A Beginners Guide to Building a RAG App Using Open Source Milvus
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Copyright 2013, Oracle
and/or its affiliates. All rights reserved. Oracle Proprietary & Confidential
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Copyright 2013, Oracle
and/or its affiliates. All rights reserved. Oracle Proprietary & Confidential
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Copyright 2013, Oracle
and/or its affiliates. All rights reserved. Oracle Proprietary & Confidential
4.
Copyright 2013, Oracle
and/or its affiliates. All rights reserved. Oracle Proprietary & Confidential
5.
Copyright 2013, Oracle
and/or its affiliates. All rights reserved. Oracle Proprietary & Confidential
6.
Copyright 2013, Oracle
and/or its affiliates. All rights reserved. Oracle Proprietary & Confidential
7.
Copyright 2013, Oracle
and/or its affiliates. All rights reserved. Oracle Proprietary & Confidential
8.
Copyright 2013, Oracle
and/or its affiliates. All rights reserved. Oracle Proprietary & Confidential
9.
Copyright 2013, Oracle
and/or its affiliates. All rights reserved. Oracle Proprietary & Confidential
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