James Weaver

Agents for Amazon Bedrock support memory retention and code interpretation - now in preview. Dynamically generate code and run code snippets and enable your agents to learn and adapt over time. #AWSome #GenAI #AmazonBedrock https://lnkd.in/gAj2N9q4

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Nightmare fuel: imagine Google Cloud deleting not just your data, but your entire account including backups...across 2 geographic regions! This is why I've been looking at external backup solutions for GCP and Google Drive, as expensive as this is. "Google Cloud is supposed to have safeguards that don't allow account deletion, but none of them worked apparently, and the only option was a restore from a separate cloud provider (shoutout to the hero at UniSuper who chose a multi-cloud solution)." #BusinessContinuity #DataSecurity #CloudComputing

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To all AWS RI users, particularly those focusing on RDS: When managing your RDS compute family class, it's crucial to consider the relevant multiplier to align your running instances with reserved recommendations. For instance, if you have 3 RDS instances of db.r5.4xlarge, with a family/type multiplier of 8, you are actually utilizing 24 compute units when reserving capacity. To simplify this process, normalize to the r5.* lowest class, and the multiplier will indicate how many of the same instances you need. #AWS #RI #RDS #ComputeFamily #ReservedInstances #CloudComputing

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Hear from experts at CHIME, MedStar Health, and Oracle in this recent Oracle Health Inside Access episode. Tune in to learn more about the latest cybersecurity trends, challenges, and strategies. https://lnkd.in/gH-ssQ5A

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AWS continues to add capabilities to Amazon Bedrock that make it the easiest way to build high quality, low latency, and cost-effective GenAI applications. Today the team announced:   - Custom Model Import, which lets customers easily bring their own models (from SageMaker and S3) to Bedrock to leverage its leading GenAI features, such as RAG, agents, Knowledge Bases (guardrails), inference deployment, and advanced customization to keep teaching and refining models.   - Model Evaluation, which lets customers quickly select predefined evaluation criteria (like accuracy and robustness) and run reports that help them understand which is the best model for them.   - Meta’s new Llama 3 models, now available on Bedrock and can support a wide range of use cases including text summarization and classification, sentiment analysis, language translation, and code generation.   - New Cohere Models, Command R and R+, are state-of-the-art FMs customers can use to build enterprise-grade generative AI applications with advanced RAG capabilities, in 10 languages, to support their global business operations. These will arrive on Bedrock in the coming weeks.   - New Amazon Titan models with Amazon Titan Image Generator (GA today) helping customers produce studio-quality images, at low cost, using natural language prompts (and applies an invisible watermark to help reduce the spread of disinformation)… along with Amazon Titan Text Embeddings V2 model, which reduces storage and compute costs, while out-performing other leading models on text embeddings.   Tens of thousands of customers are already building real-world production-ready GenAI apps and we're excited for even more customers to get started. https://lnkd.in/g4rkak47

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Customers often ask if Amazon Q Developer is only for Amazon Web Services (AWS) workloads. The short answer is no. Our developer platform can add value to your on-premises development and multi-cloud needs, regardless of your platform. Our partners at Heroku have a great use case for this. Check out their blog post on how the Amazon Q Developer / Heroku integration simplifies their customer workflows.

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The Centers for Medicare & Medicaid Services (CMS) Burden Reduction Rule, designed to streamline administrative processes in healthcare, promises significant financial implications, particularly concerning electronic prior authorizations (ePAs). As the healthcare industry transitions from manual to electronic systems, the Burden Reduction Rule aims to simplify and expedite prior authorizations, offering substantial cost savings and efficiency improvements for healthcare providers, payers, and patients. #Healthcare #Interoperability #BurdenReduction #FinancialImplications #ePA https://lnkd.in/dJnJWFpc

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Learn how Run:ai on #OCI can help organizations scale their #AI capabilities without an increase in operational complexities or costs. https://lnkd.in/gZKiBnEF #Kubernetes

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On the latest episode of the Perspectives on Health and Tech podcast, experts from Oracle Health, Cohen Veterans Network, and The Menninger Clinic explore how telehealth, wearables, and other emerging technologies can improve #MentalHealth and bridge gaps in care. https://lnkd.in/gTE5zf6X

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Did you know Apache Kafka and Confluent can help save lives? Read City of Hope’s story in The New Stack to learn how Kafka and Confluent power a real-time AI prediction model that helps prevent the risk of deadly sepsis in bone marrow transplant patients:

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Did you know Apache Kafka and Confluent can help save lives? Read City of Hope’s story in The New Stack to learn how Kafka and Confluent power a real-time AI prediction model that helps prevent the risk of deadly sepsis in bone marrow transplant patients:

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Clinical decisions are highly improved by using multiple vital information including radiology reports. Your practice or medical centre needs EHR with all vital information integrated for better care. Vozo #clinicaldecision #ehr #radiology

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Oracle today announced the general availability of HeatWave #GenAI, including in-database LLMs, an automated in-database vector store, and the ability to have human-like contextual conversations in natural language. https://lnkd.in/gK-Q44gc

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"Lead your plan into the future." Anterior (formerly Co:Helm)'s AI platform alleviates administrative burdens in healthcare, enabling clinicians to transform chaos into clarity with the help of generative AI. Learn more: https://www.anterior.com/ #HealthcareAI #ClinicalEfficiency #SoHCSpotlights

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Join us on June 18 for the latest episode of Oracle Health Inside Access, where we'll explore how we can use data and AI to improve the care team experience. https://lnkd.in/epWV74_d

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FHIR is a popular healthcare standard used for Health Information Exchange. Integrating your existing data architecture with FHIR involves technical hurdles. But following these steps will easily help to integrate your health data architecture with FHIR: * Access your current data architecture * Choose a FHIR implementation approach * Design and Map your data * Develop and Test FHIR integration * Deploy and Monitor Moreover, this process involves many challenges such as legacy system integration, data mapping & transformation capabilities, and more. Read this blog post to learn more in-depth about the FHIR integration with your existing health data architecture. https://lnkd.in/gp9djJ-T #FHIR #healthcare #integration #challenges #datamapping

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Check out this great article by Kara Saucerman! It talks about CETO, a high-performance gateway serving as the front-end for Microsoft AI services. It leverages YARP (Yet Another Reverse Proxy) and the latest version of .NET.

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