Siva Guruvareddiar

YouTube Video is out 👀 Watch Murali Sankar and I present on how #AmazonBedrock empowers organizations, particularly the financial services sector, to harness the full potential of #GenerativeAI without compromising on data protection or ethical standards with Angelbeat 😄

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In an exclusive conversation with Debanagana Ghosh, moneycontrol.com, Oracle's #AI engineer Saurabh Netravalkar highlights the growing impact of #dataanalytics in sports, aiding teams in #performance optimization and #strategicplanning and how well he is balancing his love for #cricket and #technology Oracle. #AI #Dataanalytics #worklifebalance #CloudWorld https://lnkd.in/ggRMiYvg

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A really nice read from Sai Maddali on the benefits of Tiered Storage with Amazon MSK. https://lnkd.in/gGNJ5nyt #ApacheKafka #Kafka #AWS #MSK #tieredstorage #streaming #storage

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When working with Amazon MSK, developers are interested in accessing the service locally. This allows developers to test their application with a Kafka cluster that has the same configuration as production and provides an identical infrastructure to the actual environment without needing to run Kafka locally. This post presents a practical approach to accessing your Amazon MSK environment for development purposes through a bastion host using a Secure Shell (SSH) tunnel (a commonly used secure connection method). Whether you’re working with Amazon MSK Serverless, where public access is unavailable, or with provisioned MSK clusters that are intentionally kept private, this post guides you through the steps to establish a secure connection and seamlessly integrate your local development environment with your MSK resources. https://lnkd.in/g4yiF3yH #MSK #serverless #ApacheKafka #testing

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Want to learn how Amazon SageMaker HyperPod offers easy cluster management and resiliency mechanisms for your LLM training? Join Arun Kumar Lokanatha and me at our upcoming event. Get hands-on experience scaling foundation model training using #AmazonSageMaker HyperPod! About HyperPod Amazon SageMaker HyperPod is a purpose-built infrastructure designed to streamline and optimize the training of foundation models (FMs) at scale. By leveraging SageMaker HyperPod, customers can reduce training time by up to 40% and ensure a resilient training environment that automatically handles hardware failures and resumes training from the last checkpoint.

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In collaboration with AWS, we are thrilled to announce the Confluent blueprint for Amazon OpenSearch Ingestion! This serverless feature enables customers to effortlessly transfer data from Confluent to OpenSearch Domains or OpenSearch Serverless collections. This capability unlocks numerous new use cases, such as Retrieval-Augmented Generation (RAG), real-time log analytics, and more. Read the full announcement, including a complete example of setting up a Confluent/OpenSearch pipeline using the new blueprint (with optional use of Schema Registry), here ➡️

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We have completed one more Migration Adventures Twitch show. Today we talked about multi cloud and networking connectivity between AWS and other cloud vendors. Check it out if you missed it! Prashanth Nalubandhu #aws #multicloud #networking

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Checkout my blog in collaboration with fellow AWS SA,Abhishek Reddy, for a comprehensive guide on migrating data from Google Drive to Amazon S3 using the powerful open-source tool Rclone. Learn how to configure Rclone, set up credentials, and execute the migration command with advanced features like bandwidth control and encryption. #DataMigration #Rclone #GoogleDrive #AmazonS3

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Love this use case for gen.ai - get your infrastructure generated really quickly to get you up and running in no time from your architecture diagrams.

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#MachineLearning #AWS #ReinforcementLearning #AutonomousVehicles #DeepRacer View my verified achievement from Amazon Web Services (AWS).

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Amazon Managed Service for Apache Flink now supports Amazon DynamoDB Streams as a source! The new connector, contributed by #AWS for the #ApacheFlink #opensource project, adds Amazon #DynamoDB Streams as a new source for Apache Flink. You can now process DynamoDB streams events with Apache Flink, a popular framework and engine for processing and analyzing #streamingdata. https://lnkd.in/gDFsiXA2

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🚀 Better Together: Cockroach Database + AWS ☁️ Date: 24th September 2024 Location: Grand Hyatt Hotel, Bandra Kurla Complex, Mumbai Cockroach Labs will be @ AWS Financial Services Symposium 2024 in Mumbai! #️⃣ I'll be there and invite you all to join me—let’s have a quick catch-up and kickstart the conversation of "Why Distributed SQL with CockroachDB + AWS?" . We Welcome FSI leaders to explore innovative cloud-native solutions that tackle RDBMS Horizontal Scale and hybrid cloud challenges. 🔍 Key Discussions: ✅ Why are so many FSI and fintech's talking about distributed databases? How can CockroachDB + AWS be the perfect solution. ✅ How can you scale your RDBMS workloads with CockroachDB’s multi-region capabilities/ Muti-master / Active-Active capabilities. ✅ We invite all FSI leaders to join us for insightful conversations on how Better Together: Cockroach Database + AWS can accelerate your business transformation. Showcasing the power of "Better Together Cockroach Database + AWS" to solve the most complex data challenges. By bringing the best of distributed SQL and the scalability of AWS. Let’s connect at the event! Stop by our booth to learn more or schedule a chat with our team. #FinancialServices #DistributedSQL #AWSCloud #BetterTogether #CockroachDB #HybridCloud #FSI #Fintech #InnovationInFSI

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It's fascinating to see how generative AI drives significant value in the competitive field of industrial operations. The post "Empowering predictive maintenance with Amazon Bedrock" by my colleagues Roberto Catalano and Luca Perrozzi demonstrates how AWS can help make things easier. #aws #iot #genai #amazonbedrock #industrial #manufacturing

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This is an awesome announcement in the open source space. In case you are not aware of Valkey, here are some interesting insights: • High-performance in-memory data store • Supports various workloads such as caching, message queues, and can act as a primary database • Can run as a standalone daemon or in a cluster, with options for replication and high availability • Natively supports a rich collection of datatypes, including strings, numbers, hashes, lists, sets, sorted sets, bitmaps, and hyperloglogs • Offers extensibility through Lua scripting and module plugins for creating new commands and data types

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I'm excited to share insights about AWS HealthLake, our game-changing solution for healthcare data management. Sidharth Ramesh and I recently discussed on how #AWS #HealthLake is positioned to support India's Healthcare ambitions when it comes to building healthcare interoperability, Ayushman Bharat Digital Mission #ABDM, data analytics, artificial intelligence #AI and #GenerativeAI. AWS HealthLake is a fully managed service that helps healthcare organizations collect, store, and analyze various types of health data. It uses AI to understand and organize information, even from unstructured formats, and puts it into a standardized, easily accessible format. One of HealthLake's key features is its ability to ingest data from multiple sources through partner connectors and convert it to FHIR format. It supports ABDM profile validation, making it ideal for the Indian healthcare ecosystem. The service also integrates with Amazon Comprehend Medical to extract valuable insights from unstructured data. HealthLake offers powerful analytics capabilities, allowing near real-time querying of data using tools like Amazon SageMaker and QuickSight. This enables healthcare providers to build comprehensive patient 360 views and derive meaningful insights quickly. We've recently enhanced HealthLake's performance, now supporting up to 12,000 transactions per second for data ingestion and 5,000 reads per second. This has unlocked new possibilities for customers like Medhost, Cigna, and Eka.care. I believe FHIR-first approaches like HealthLake have the potential to disrupt the EHR market, enabling more interoperable and efficient healthcare systems. It supports the CIOs goals to integrate all their systems and facilities based on standards interface thus improving usability of data. Tehsin, Himanshu, Karthik, Matt, Samarth, Gaurav, Preetam, Dev, Dr Terence #AWSHealthLake #HealthcareInnovation #FHIR #DigitalHealth #Amazon #Healthcare #Intereoperability More on this video: https://lnkd.in/g3cec4k9 Credits to Sidharth Ramesh & Medblocks. Note: This is a personal view on how HealthLake can be leveraged in India and globally.

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