Sachin Lohe

In the domain of machine learning, ‘clf’ stands for classifier. Read more 👉 https://lttr.ai/ASUf7 #MachineLearningRepresents #IntegratingComputationalIntelligence #RealWorldApplications #TransformativeJourney🚀 #GoldenKey🗝️ #ProjectsDiveDeep #Champion🏆— #SupportVectorMachines #DeriveMeaningfulClassifications #DistinctClassesBased

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See the impact of image #annotation on database accuracy and efficiency in our latest case study. Learn how quality annotations can transform your #data. https://hubs.la/Q02tBdk90 #DataAnnotation #ImageAnnotation #Database #CaseStudy #MachineLearning #AI

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🔒 RelationalAI's Triple Attestation Achievement with Akitra 🎉RelationalAI partnered with Akitra to streamline their compliance journey and achieved simultaneous #SOC2 Type 2, #HIPAA, and #GDPR certifications. Through Akitra, they overcame diverse customer demands, regulatory roadblocks, and manual inefficiencies, leading to rapid and efficient attestation. Ready to streamline your compliance process? Book a #Demo now at akitra.com/demo #Akitra #compliance #automation #SOC2 #iso27001 #hipaa #compliancesolutions #cybersecurity #happycustomer #compliancemanagement

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Yesterday we demonstrated how quickly you can move contextualize and normalized data from Flow to Snowflake during a webinar with our partners at Streamline Control. This strategy makes all of the historical data in your legacy or enterprise data historians and SQL databases immediately available to Snowflake, and it's EASY!

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Faster, accurate insights into your business? It takes repeatable data pipelines that support repeatable #analytics… and that's where Snowflake and dbt come in — together.

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Faster, accurate insights into your business? It takes repeatable data pipelines that support repeatable #analytics… and that's where Snowflake and dbt come in — together.

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Faster, accurate insights into your business? It takes repeatable data pipelines that support repeatable #analytics… and that's where Snowflake and dbt come in — together.

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🚀 The Future is Here: IDP 2.0 with Large Language Models (LLMs) While LLMs are driving significant advancements in Intelligent Document Processing, they also come with challenges—especially around accuracy and scaling costs. Join Unstract’s COO, Narendran Hariparanthaman on October 23 in NYC, as he discusses how Unstract, an open-source IDP 2.0 platform, tackles these issues head-on. Processing over 5 million pages of unstructured documents every month, Unstract leverages innovative techniques like vector databases to deliver accurate, cost-efficient structured data extraction. Curious to learn more? Don’t miss this insightful talk! 💡 ➡🗽 Oct 23 NYC with Datastrato, Unstract and Zilliz: https://lu.ma/naqu6xrd Hosted by Zilliz, Here are some other upcoming meetups 🗣️ Save your spot now! ➡ 🇩🇪  Oct 2 Berlin at Google with Neo4j, Google Cloud and Zillliz: https://lnkd.in/dTJBJczu ➡ 🏙️ Oct 8 SF with BentoML, Datastrato, and Zilliz: https://lu.ma/itp2xgaw #AI #ML #Meetups #AI #IDP #Unstract #LLM #opensource #dataprocessing

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EK's new blog by Heather Hedden discusses the important role that taxonomy and information architecture play in building a semantic layer that is intuitive and comprehensive. #taxonomy #semanticlayer https://lnkd.in/ebtbB3xV

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The Amplify API and deweydatapy library make it easier for you and your research team to download data directly to your local machine. 🖥 Check out our API Tutorial resource to learn about these two important tools, which help Dewey users understand how to work with the large datasets on our platform. https://lnkd.in/gXbhK6q4

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Clearwater Analytics built and deployed a customer-facing, multi-agent system using fine-tuned SLMs. Don't miss our demo-driven session with Predibase to learn how they did it! Register for our upcoming webinar to learn how to: 🏗 Architect multi-agent systems with small, fast, specialized models 🎻 Minimize latency and cost through fine-tuning 🔎 Evaluate, monitor, and protect GenAI applications 🔗 https://lnkd.in/gN-cP7_W #ML #MachineLearning #AI #ArtificialIntelligence #DataScience #DataScientist #DataEngineering #DataEngineer #LLM #GenAI

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Exciting news! The Snowflake target connector for Gluesync is now generally available! 🚀 Unlock seamless data integration and supercharge your analytics capabilities with this powerful new tool. Here's what you can expect: ✅ Effortless data synchronization with Snowflake ✅ Centralized data management from multiple sources ✅ Enhanced analytics powered by Snowflake's robust architecture ✅ Scalable cloud performance for growing datasets ✅ Flexible configuration options to suit your needs Ready to take your data strategy to the next level? Visit our product documentation for in-depth information and get started today: https://lnkd.in/digZdN-N #DataIntegration #Snowflake #Gluesync #Analytics #CloudComputing

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Read our blog to learn how the convergence of #AI and no-code platforms has redefined the landscape of #PAN data extraction. https://buff.ly/3A1ZrAs #NoCode #dataextraction #Computervision #NLP #ocr #bigdata #algorithms #aadhaar #automation #futuretech #DeepLobe

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Read our blog to learn how the convergence of #AI and no-code platforms has redefined the landscape of #PAN data extraction. https://buff.ly/3A1ZrAs #NoCode #dataextraction #Computervision #NLP #ocr #bigdata #algorithms #aadhaar #automation #futuretech #DeepLobe

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JSON Handling and Type Management with Large Datasets in Go -- Ep. 4 is out now! In this episode, Miki Tebeka tackles the complexities of working with JSON data, especially when dealing with extensive datasets and optimizing type management. Here, Miki introduces key strategies for managing large JSON documents, avoiding unnecessary type definitions, and using Go’s encoding/json package to handle custom serialization needs effectively. Things you will learn in this video: ✅ Streamlining JSON Handling: How to avoid excessive type declarations by using anonymous structures and selective decoding for large JSON datasets. ✅Implementing Custom Serialization: Techniques for defining custom JSON serialization in Go with the Marshaler and Unmarshaler interfaces. ✅Managing Mixed-Type Arrays: Strategies to work effectively with JSON arrays containing various data types, ensuring smooth integration with Go’s type system. 📰Watch Now: https://lnkd.in/ghjz58pC Stay tuned for more episodes from Miki Tebeka in this mini series, highlighting Intro to #JSON for Engineers & Managers.🤓 #golang

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