Summary of AWS blogs for the week of monday Mon May 19

In the week of Mon May 19 2025 AWS published 69 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Amazon Q Developer is positioned as a transformative tool that goes beyond simple automation. It acts as a catalyst for redefining software development processes and cultures to fully exploit AI’s capabilities. Successful organizations are those that strategically integrate AI into their development workflows, viewing it as a fundamental change rather than just a technological addition.

Reimagining Software Development with AI

To leverage AI effectively, companies are encouraged to rethink their traditional metrics and definitions of success. By adopting metrics-driven strategies, businesses can harness AI to revolutionize coding practices. This involves not just adopting new tools, but also cultivating a development culture that embraces continuous innovation and learning.

Enhancements in Amazon Q Developer CLI

Recently, Amazon Q Developer CLI has introduced features that significantly enhance developer productivity. Notable is the addition of image support, which allows developers to interact with visual information directly in their terminal. This feature is a game-changer for those working with diagrams, architecture blueprints, and other visual assets, streamlining their development workflows and improving efficiency.

New CLI Features and Improvements

The Amazon Q Developer CLI continues to evolve, with recent updates focusing on user experience, context management, and adding powerful functionalities. These improvements make the CLI a more robust tool for developers, allowing seamless integration into existing workflows and enhancing overall developer productivity.

Mastering Prompt Crafting

In AI-driven development, the ability to craft effective prompts is crucial. Amazon Q Developer requires users to communicate with clarity and precision to achieve desired outcomes. This skill is essential as organizations adopt AI tools, enabling developers to extract accurate and useful results. Mastery of prompt crafting can significantly enhance interaction with AI, making it a critical competency in modern development environments.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, can guide organizations in fully embracing Amazon Q Developer’s capabilities. By providing expert advice and tailored solutions, KeyCore helps businesses integrate AI seamlessly into their software development processes. Whether through professional services or managed services, KeyCore ensures clients maximize their strategic advantage using AWS tools.

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AWS for SAP

Amazon Web Services (AWS) and SAP have announced the launch of a new AI Co-Innovation Program. This initiative is designed to aid partners in developing generative AI solutions tailored to address the challenges of market volatility and supply chain complexity. With the ongoing disruptions in global markets, businesses are increasingly seeking innovative solutions to maintain stability and efficiency in their supply chains. This program represents a strategic collaboration between AWS, known for its robust cloud infrastructure and AI capabilities, and SAP, a leader in enterprise software solutions.

Navigating Market Volatility

The AI Co-Innovation Program focuses on creating AI-driven applications that can provide actionable insights into market dynamics. By leveraging AI, businesses can anticipate market trends, optimize operations, and improve decision-making processes. This proactive approach equips organizations to remain resilient in the face of unpredictable market changes, ensuring they can adapt and thrive.

Tackling Supply Chain Complexity

Supply chains today are more complex than ever, with multiple stakeholders and variables. The co-innovation efforts aim to simplify these complexities by integrating AI technologies that enhance visibility, streamline logistics, and improve inventory management. By harnessing the power of AI, companies can better predict demand, manage disruptions, and optimize their supply chains for efficiency and cost-effectiveness.

KeyCore’s Role in AI and SAP Solutions

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance and services in navigating the intersection of AI and SAP solutions on AWS. With our deep understanding of AWS infrastructure and SAP applications, KeyCore can help businesses design, implement, and manage AI-driven solutions tailored to their specific needs. Whether it’s enhancing supply chain operations or improving market responsiveness, KeyCore provides the technical expertise and strategic insights needed to succeed in today’s dynamic business environment.

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Official Machine Learning Blog of Amazon Web Services

Principal Financial Group’s Enhanced Voice Virtual Assistant

Principal Financial Group leveraged Amazon Web Services to develop an integrated voice virtual assistant (VA) reporting solution. By utilizing an Amazon QuickSight dashboard, they optimized the performance and analytics of their VA systems. This integration not only enhanced data visibility but also provided actionable insights, improving the overall performance of the VA.

Refining Query Responses with Amazon Bedrock

Amazon Bedrock, combined with user feedback datasets and few-shot prompting, enhances query responses’ accuracy. By implementing Amazon Titan Text Embeddings v2, applications can achieve statistically significant improvements in response quality. This approach ensures personalized and precise responses, thereby increasing user satisfaction.

Enhancing Productivity with Amazon Q Business and Microsoft 365

The integration of Amazon Q Business with Microsoft 365 applications like Outlook and Word offers advanced AI support within familiar tools. These integrations streamline workflows by providing intelligent assistance that enhances productivity, allowing teams to focus on more strategic tasks.

Integrating Amazon Bedrock Agents with Slack

Amazon Bedrock Agents can be seamlessly integrated into Slack workspaces, providing enhanced interaction capabilities. This post guides users through configuring a Slack workspace, deploying necessary AWS components, and utilizing the integrated solution for improved collaboration within teams.

Securing Distributed Logging with Amazon Bedrock

Using Amazon Bedrock and LangChain, AWS offers a robust solution for securing distributed logging in scalable multi-account deployments. This approach ensures that logging data remains secure across various AWS accounts, maintaining operational integrity and compliance.

Domain-aware Data Preprocessing Pipeline

A multi-agent collaboration pipeline using Amazon Bedrock processes unstructured insurance data efficiently. Specialized agents handle classification, conversion, and metadata extraction, transforming diverse data formats into valuable metadata-rich outputs. This enables advanced analytics, fraud detection, and comprehensive customer insights.

Onity Group’s Intelligent Document Processing

Onity Group revolutionized their document processing with Amazon Bedrock, reducing costs by 50% and increasing accuracy by 20%. This intelligent solution streamlined mortgage servicing and origination processes, significantly enhancing operational efficiency.

HERE Technologies’ Generative AI-Powered Coding Assistant

HERE Technologies, in collaboration with GenAIIC, developed an AI-powered coding assistant for developers. This assistant translates natural language questions into executable HTML and JavaScript code. The result is a scalable, intelligent system that boosts developer productivity by providing immediate, interactive code solutions.

How KeyCore Can Help

At KeyCore, we specialize in harnessing the full potential of AWS services, including the technologies discussed above. Whether it’s integrating advanced AI capabilities into existing systems or building custom solutions from the ground up, our team of experts can provide the guidance and support you need. From enhancing virtual assistant performance to securing distributed systems, KeyCore’s AWS expertise ensures that your business stays at the forefront of technological innovation. Visit https://www.keycore.dk to learn more about our services and how we can assist you with your AWS needs.

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Announcements, Updates, and Launches

Claude 4 in Amazon Bedrock

Amazon has unveiled Claude Opus 4, now available on Amazon Bedrock, empowering developers to create advanced AI agents. This release enhances reasoning and coding capabilities and expands the context for more autonomous AI systems. Developers can now construct AI agents capable of managing complex, multi-step workflows in software development and enterprise operations. Additionally, Claude Sonnet 4, tailored for high-volume production workloads, will be launched soon. These models provide a significant boost in AI-driven automation and efficiency.

EKS Dashboard for Kubernetes Management

The new EKS Dashboard centralizes Kubernetes cluster visibility across AWS Regions and accounts. This tool is designed for cloud architects and cluster administrators, offering a unified console interface to monitor and govern clusters. Users gain insights into cluster configurations, managed node groups, and EKS add-ons. By consolidating data across regions and accounts, the EKS Dashboard enhances operational efficiency and simplifies Kubernetes management.

System Integrity Protection on EC2 Mac Instances

Amazon EC2 Mac instances have introduced the ability to programmatically disable System Integrity Protection (SIP). This feature allows developers to modify core system files and settings, previously restricted for security. Through API and command line, developers now have greater flexibility and control over their Mac environments, enabling more customized and innovative application development.

AWS Product Lifecycle Page

The new AWS Product Lifecycle page centralizes information about AWS service availability changes. This resource offers detailed visibility into service updates, including categories such as services closing access to new customers. By consolidating this data, AWS provides a streamlined, comprehensive view of service lifecycle changes, improving user awareness and planning capabilities.

AWS Cloud Infrastructure Day

Scheduled for May 22, 2025, AWS Cloud Infrastructure Day is a free virtual event highlighting AWS’s latest cloud infrastructure innovations. Attendees can explore advances in compute, AI/ML, storage, networking, and serverless technologies. Featuring technical sessions and expert speakers, this event is a prime opportunity to learn about cutting-edge AWS developments.

Amazon Inspector Enhancements

Amazon Inspector has improved container security with new features for Amazon ECR. The platform now provides image-to-container mapping to identify actively running images and their deployment scale. Additionally, vulnerability scanning supports minimal base images like scratch, distroless, and Chainguard containers. These enhancements ensure comprehensive security for containerized environments.

AWS Weekly Roundup

The AWS Weekly Roundup covers a variety of recent events and announcements, including the AWS Cloud Infrastructure Day and AI Week in Italy. Participants can engage with AWS experts and explore the latest developments in AWS technologies, providing valuable insights and networking opportunities for industry professionals.

How KeyCore Can Assist

KeyCore, Denmark’s leading AWS consultancy, offers comprehensive support in leveraging these AWS announcements and updates. From deploying AI agents with Claude 4 to optimizing Kubernetes management via the EKS Dashboard, KeyCore’s expertise ensures businesses maximize their AWS investments. KeyCore provides tailored solutions, whether you require assistance with EC2 Mac instances, understanding the AWS Product Lifecycle, or enhancing container security with Amazon Inspector.

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Containers

Amazon EKS Blueprints and CDK pipelines offer a streamlined approach for deploying applications across multiple environments. Containers, known for their portability and consistency, have significantly transformed software delivery. The integration of Amazon EKS Blueprints with CDK pipelines simplifies the process of managing complex frameworks and deploying applications efficiently. This solution allows developers to maintain consistent configurations across various environments, addressing the challenges associated with diverse deployment scenarios.

Key Features of Amazon EKS Blueprints

Amazon EKS Blueprints provide a robust framework for managing infrastructure as code, enabling teams to define and deploy EKS clusters with ease. By leveraging CDK pipelines, users can automate the deployment process, ensuring that applications are consistently configured and deployed across different environments. This integration facilitates a seamless development-to-production workflow, reducing manual intervention and minimizing deployment errors.

Business Value

Adopting Amazon EKS Blueprints and CDK pipelines can significantly enhance operational efficiency for businesses. Through streamlined deployments, organizations can reduce time-to-market and improve product stability. This approach also aligns with the agile principles of continuous integration and continuous delivery (CI/CD), promoting faster iteration and innovation.

How KeyCore Can Help

KeyCore’s expertise in AWS consultancy positions us to assist businesses in leveraging Amazon EKS Blueprints and CDK pipelines for optimized multi-environment deployments. Our team can provide tailored solutions that align with an organization’s specific requirements, ensuring a smooth transition to containerized deployments and maximizing the benefits of AWS infrastructure.

Wefox Italy, an innovative player in the insurance sector, has embarked on a journey towards Software-as-a-Service (SaaS) multi-tenancy on Amazon EKS. The collaboration involved leveraging AWS’s robust infrastructure to address the unique needs of different product teams within Wefox Italy. By adopting Amazon EKS, Wefox Italy effectively supports diverse products while maintaining a cohesive and scalable architecture.

Implementing SaaS Multi-Tenancy

The transition to a SaaS multi-tenant model on Amazon EKS involves deploying multiple applications across a shared infrastructure. This approach not only optimizes resource utilization but also enhances scalability and reduces operational costs. By using EKS, Wefox Italy can provide isolated environments for each tenant, ensuring data security and regulatory compliance.

Business Value

For Wefox Italy, the shift to a multi-tenant architecture represents a strategic move towards greater innovation and operational efficiency. The new model supports rapid development and deployment of new features, providing a competitive edge in the dynamic insurance market. Additionally, it enables the company to scale operations effortlessly in response to growing demand.

How KeyCore Can Help

KeyCore’s expertise in AWS services, particularly in containerized solutions like Amazon EKS, allows us to guide organizations like Wefox Italy in their transition to SaaS multi-tenancy. Our team can provide comprehensive support in designing and implementing scalable, secure, and cost-effective multi-tenant architectures, helping businesses maximize the benefits of AWS technologies.

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Official Database Blog of Amazon Web Services

Explore the new openCypher features in Amazon Neptune

Amazon Neptune’s 1.4.2.0 engine update introduces new features for openCypher, enhancing its graph query capabilities. Developers can now build graph applications using openCypher alongside Apache TinkerPop Gremlin and W3C’s SPARQL 1.1. Notably, the update includes custom functions and enhanced subquery support. A guide is available to help developers explore these new functionalities and integrate them into their applications.

Integrate AI with relational databases using Amazon Bedrock and Aurora PostgreSQL

This post outlines a solution to connect generative AI applications with relational databases like Amazon Aurora PostgreSQL-Compatible Edition via the RDS Data API. By leveraging Amazon Bedrock, developers can access AI models, automate tasks using Bedrock Agents, and retrieve context information via Bedrock Knowledge Bases. This integration simplifies database interactions and enhances AI-driven application capabilities.

Automate SQL Server post-migration activities using Cloud Migration Factory

After migrating SQL Server databases to Amazon EC2, running essential post-migration tasks is crucial. This post explains how to validate database status, configure performance settings, and execute consistency checks using Cloud Migration Factory (CMF). Automating these tasks with CMF enhances efficiency and scalability, streamlining the migration process and providing better visibility.

Amazon Aurora Global Database supports up to 10 secondary Regions

The Amazon Aurora Global Database now supports up to 10 secondary Regions, expanding its capability for low-latency local reads. This structure consists of one primary Region and multiple read-only secondary Regions, enabling new use cases for global applications. The enhancement facilitates improved performance and scalability for distributed systems leveraging Aurora Global Database.

Configure Linked Server between Amazon RDS for SQL Server and Teradata

This post guides users through configuring a linked server between Amazon RDS for SQL Server and a Teradata database. The step-by-step process ensures effective connection establishment and functionality verification, empowering seamless integration between these two database systems.

Achieve higher performance with Aurora PostgreSQL on Graviton4-based R8g instances

Upgrading to Graviton4-based R8g instances with Aurora PostgreSQL-Compatible 17.4 significantly boosts performance. Users can experience up to 1.7 times higher write throughput and 1.38 times better price-performance. Commit latency is reduced by up to 46% on r8g.16xlarge and 38% on r8g.2xlarge instances compared to Graviton2-based R6g instances, optimizing resource utilization and cost-efficiency.

Managing scale with Amazon DynamoDB in Amazon’s Finance Technologies

Amazon’s Finance Technologies Tax team employs Amazon DynamoDB to handle complex tax computations across various jurisdictions. By implementing tiered tax withholding with DynamoDB transactions and conditional writes, the team ensures accuracy and efficiency in processing billions of transactions annually, supporting global operations at scale.

Build an AI-powered text-to-SQL chatbot with Amazon Bedrock and MemoryDB

Explore building a text-to-SQL chatbot using Amazon Bedrock, Amazon MemoryDB, and Amazon RDS for PostgreSQL. The application uses Retrieval Augmented Generation (RAG) to transform analytical questions into SQL queries. MemoryDB aids with semantic caching via vector search, accelerating query execution and enhancing data accessibility for users.

How KeyCore Can Help

KeyCore offers expert guidance and implementation support for businesses looking to leverage the advanced features of Amazon Neptune, Aurora, and other AWS services. By providing both professional and managed services, KeyCore can assist in tailoring AWS solutions to meet specific business needs, ensuring optimized performance and cost-effectiveness. Whether integrating AI capabilities, enhancing database performance, or automating migration processes, KeyCore is equipped to deliver the necessary expertise and resources to achieve business goals on AWS effectively.

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AWS Cloud Financial Management

The AWS team is eagerly anticipating engaging with the FinOps community at the upcoming FinOps X 2025 event in San Diego, scheduled from June 2-5. This event promises to be a comprehensive gathering for those interested in AWS and financial operations.

Connect with AWS Experts

Attendees can look forward to multiple opportunities to interact directly with AWS experts. Starting with a welcoming reception party on Monday evening, participants can network and discuss their cloud financial management strategies in a relaxed setting. This event sets the stage for more in-depth conversations and learning experiences.

Keynotes and Breakout Sessions

The event will feature a series of keynote speeches and breakout sessions designed to provide in-depth insights into AWS services and financial management strategies. These sessions aim to empower attendees with the knowledge to optimize their cloud spending and enhance operational efficiencies.

Explore the AWS Booth

Throughout the event, AWS will host a booth where attendees can obtain personalized advice and guidance on AWS services. This is an excellent opportunity for individuals and companies to ask specific questions and gain direct insights from AWS professionals on the latest tools and strategies in cloud financial management.

Customer Meetings

Additionally, there will be customer meetings where participants can discuss their unique challenges and objectives with AWS representatives. These meetings provide personalized support and strategic advice to help attendees align their financial operations with AWS best practices.

The AWS presence at FinOps X 2025 underscores their commitment to helping businesses optimize their cloud financial management. It is a must-attend for anyone looking to deepen their understanding of AWS financial strategies and engage with industry leaders.

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This summary provides an overview of the excitement surrounding AWS’s involvement in the FinOps X 2025 event, highlighting the various opportunities for attendees to learn from and interact with AWS experts.

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AWS for Games Blog

Amazon Aurora Serverless v2 offers game developers a robust solution to handle the dynamic database demands of gaming environments. Games often experience unpredictable surges in player activity, necessitating a database that can automatically scale up to accommodate millions of concurrent users. This scalability ensures a seamless gaming experience during peak times, while also allowing developers to scale down during off-peak hours to minimize costs. Aurora Serverless v2 adjusts its capacity in fine-grained increments, optimizing resource usage and maintaining performance, which is crucial for games that might not consistently reach high player counts.

The flexibility and cost-effectiveness of Aurora Serverless v2 make it an ideal choice for game developers looking to efficiently manage their database infrastructure without compromising on performance. By leveraging this technology, developers can focus on enhancing gameplay and player engagement, rather than worrying about database limitations. The service’s ability to adapt to fluctuating demands provides a strategic advantage in the competitive gaming industry.

KeyCore, with its expertise in AWS services, can assist game developers in implementing Amazon Aurora Serverless v2. Our team ensures a smooth transition and optimal configurations, enabling developers to fully leverage the benefits of serverless databases for their games.

Shiny Shoe’s Launch of Monster Train 2

Shiny Shoe, an independent game studio, successfully launched Monster Train 2, a strategic roguelike deck-building game. Released on May 21, 2025, the game quickly captivated players with its tactical challenges and engaging gameplay. As a sequel to the acclaimed Monster Train from 2020, Monster Train 2 expands on its predecessor’s success with new features and enhanced strategic elements.

By utilizing AWS, Shiny Shoe harnessed scalable and reliable infrastructure to support their ambitious plans. This decision allowed the studio to focus on game development and user experience without the burden of infrastructure management. AWS’s robust platform ensured that the game could handle high volumes of player traffic efficiently, providing a smooth and uninterrupted gaming experience.

KeyCore’s extensive knowledge of AWS can provide game studios like Shiny Shoe with the support needed to launch and maintain games on AWS. By optimizing cloud resources and ensuring best practices, KeyCore helps studios maximize performance and achieve their game development goals.

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AWS Training and Certification Blog

Explore the innovative training opportunities available through AWS’s latest offerings, designed to enhance expertise in generative AI, DevOps, and the latest AWS technologies. These training programs are crafted to provide hands-on experience and practical knowledge to navigate real-world challenges using AWS services and solutions.

Introducing AWS SimuLearn: Generative AI Practitioner

The AWS SimuLearn: Generative AI Practitioner program offers an immersive training experience focused on developing skills in generative AI. This simulation-based training allows participants to interact with AI-powered virtual customers and tackle real business challenges. Learners build practical skills with Amazon Bedrock, Amazon Q, and other AWS AI services, enhancing their ability to apply AI solutions effectively. The program utilizes a unique learn-recommend-build approach to solidify understanding and is accessible for free on AWS Skill Builder.

Transformative DevOps and AI Training

AWS introduces a new DevOps and AI training program, aimed at revolutionizing application development processes. This comprehensive three-course series equips participants with the skills to build and augment a travel planner application. Key components include integrating AI capabilities using Amazon Bedrock, deploying efficient CI/CD pipelines, and leveraging AIOps for optimized operations. The courses, available on Coursera and edX, provide participants with hands-on experience, blending DevOps best practices with cutting-edge AI technology to drive innovation and efficiency.

May 2025 AWS Training and Certification Updates

In May 2025, AWS released several enhancements to their training and certification offerings. New features include hands-on AWS Builder Labs and updated multiplayer AWS Card Clash experiences, alongside the innovative AWS SimuLearn: Generative AI Practitioner module. Additionally, specialized courses are now available, covering areas such as Machine Learning Engineering, monitoring solutions with Amazon Managed Grafana, and practical labs focused on foundation models and prompt engineering. These updates are designed to boost cloud expertise through interactive and expert-led training, ensuring learners stay at the forefront of AWS technology developments.

KeyCore, as a leading AWS consultancy in Denmark, is uniquely positioned to assist organizations in navigating these training programs. Our expertise in AWS services ensures that businesses can leverage the full potential of AWS’s training, integrating learned skills to drive innovation and operational excellence. Whether enhancing AI capabilities or optimizing DevOps practices, KeyCore provides the guidance and support necessary to transform AWS training into tangible business value.

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Official Big Data Blog of Amazon Web Services

Amazon OpenSearch UI has experienced significant adoption since its launch in November 2024. Customers from various sectors have utilized the platform, providing valuable feedback that has shaped its evolution. As it reaches the six-month milestone, Amazon has shared major enhancements that have been made, focusing on observability and security analytics.

Enhancements in Observability and Security Analytics

The OpenSearch UI has been enhanced to offer deeper insights and robust security measures. These improvements are critical for businesses that rely on precise data observation and analysis to maintain operational efficiency and security. With these updates, users can expect improved capabilities in monitoring and analyzing data streams, which is essential for detecting anomalies and ensuring data integrity.

Customer-Driven Development

Feedback from a diverse user base has been instrumental in driving the development of new features. This customer-centric approach not only enhances user satisfaction but also positions OpenSearch UI as a cutting-edge tool in the big data analytics arena. The continuous integration of user suggestions ensures that the platform remains relevant and effective in addressing the dynamic needs of modern enterprises.

Amazon has demonstrated how users can leverage Apache Iceberg alongside Amazon S3 Tables and Amazon Redshift to establish a robust data governance and analytics framework. This setup provides businesses with scalable analytics capabilities paired with centralized governance, facilitating efficient data management.

Building a Comprehensive Data Lake Catalog

By using Amazon S3 Tables, organizations can create a comprehensive data lake catalog that supports fine-grained access controls. This setup caters to multiple users, ensuring that data is securely managed and accessible according to predefined policies. The integration of Amazon Redshift further enables a unified analytics experience by allowing simultaneous access to data residing in both Amazon Redshift and Amazon S3 Tables.

Unified Analytics Experience

The combined use of these AWS services provides a seamless analytics environment, wherein data from various sources can be effectively analyzed. This approach enhances decision-making by providing a holistic view of the data landscape, thus supporting strategic business initiatives.

Financial analysts can significantly enhance their analytics capabilities by using Amazon Bedrock and Amazon Redshift to create structured knowledge bases. This technological combination allows financial professionals to query customer data with ease, making data-driven insights more accessible and actionable.

Accelerating Time to Insight

Amazon Bedrock translates natural language queries into optimized SQL statements, enabling rapid access to pertinent financial data. This capability drastically reduces the time required to derive insights, thereby accelerating the decision-making process. Financial planners can efficiently retrieve information on accounts, investments, loans, and transactions, facilitating informed decisions.

Enhancing Financial Decision-Making

By employing these advanced AWS tools, financial institutions can streamline their operations, improve accuracy, and enhance customer service. The automation of data retrieval and analysis empowers financial professionals to focus on strategic initiatives rather than manual data processing.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, specializes in leveraging AWS technologies to optimize business processes. Our team of experts can assist organizations in implementing and managing OpenSearch UI, Apache Iceberg, Amazon S3, Amazon Redshift, and Amazon Bedrock solutions. By partnering with KeyCore, businesses can ensure they are maximizing the potential of their big data and analytics capabilities, driving growth and efficiency.

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AWS Compute Blog

Implementing Federation on Amazon MQ for RabbitMQ Private Brokers

Amazon MQ for RabbitMQ offers a powerful messaging service, but the default federation plugin only connects to public upstream brokers. This presents a challenge for businesses seeking to create a distributed system with private brokers. By leveraging Network Load Balancers (NLB), organizations can now enable federation for private RabbitMQ brokers, facilitating seamless communication between them.

Network Load Balancers for Private Federation

Network Load Balancers provide the infrastructure needed to expose private brokers to each other without making them publicly accessible. By configuring NLBs, businesses ensure that messages can route between geographically distributed brokers while maintaining security and control. This setup not only enhances the scalability of the messaging system but also optimizes resource utilization.

Steps to Implement Federation

The implementation process involves setting up NLBs to handle traffic between private brokers. By defining listener rules and target groups, organizations can route RabbitMQ traffic appropriately. Once configured, these brokers can function as part of a cohesive, distributed RabbitMQ system, enhancing resilience and load distribution.

Securing Instances with Multi-Factor Authentication

Security remains a top priority in cloud computing, and multi-factor authentication (MFA) adds an essential layer of protection to Amazon EC2 instances running Amazon Linux 2023 (AL2023). By integrating MFA with Secure Shell (SSH) access, businesses can significantly reduce the risk of unauthorized access.

Enhancing Security with MFA

Implementing MFA requires users to provide additional verification beyond standard SSH credentials. This dual-layer security approach ensures that even if credentials are compromised, unauthorized access is thwarted. Organizations benefit from stronger security postures and greater confidence in their cloud environments.

Steps for MFA Integration

To enable MFA on AL2023 EC2 instances, businesses need to configure their SSH access settings to require a one-time password (OTP) in addition to their standard login credentials. This involves setting up an MFA device and updating the PAM configuration to validate OTPs during SSH sessions. The result is a robust, secure access method that aligns with best practices for cloud security.

How KeyCore Can Help

KeyCore specializes in AWS solutions, and our expertise can guide businesses in implementing these advanced configurations. Whether setting up federation for RabbitMQ brokers or securing EC2 instances with MFA, our consultants have the technical know-how to optimize your AWS environment. We offer tailored solutions that align with your business objectives, ensuring that you leverage AWS services to their fullest potential. Visit KeyCore to learn more about our services.

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AWS for M&E Blog

NDI Integration with AWS Elemental MediaConnect

The integration of NDI® (Network Device Interface) with AWS Elemental MediaConnect offers a streamlined solution for the secure and reliable ingestion of live video content into the AWS Cloud. This advancement addresses previous challenges faced by media customers who needed to convert live video to NDI format for cloud processing.

By enabling NDI outputs directly in MediaConnect, AWS simplifies the process of live video ingestion. This allows broadcasters and media professionals to leverage the flexibility and scalability of AWS Cloud for more efficient video workflows. The integration facilitates seamless production environments by supporting the direct transfer of high-quality live video streams.

This development ensures that media companies can maintain the integrity and quality of their live broadcasts while benefiting from AWS’s robust and scalable infrastructure. The use of NDI within MediaConnect enhances the ability to manage video sources dynamically, which is critical for live production scenarios.

Securing Media and Entertainment Workflows

Media and entertainment workflows are increasingly vulnerable to unauthorized access and redistribution of content. AWS provides solutions that help secure streaming applications against these threats, ensuring that content remains protected throughout its lifecycle.

Security Threats and Solutions

Common security threats in media streaming include unauthorized access and redistribution. Without adequate security, unauthorized users can exploit streaming applications to access content illicitly. AWS offers practical solutions to fortify content security, including encryption, access controls, and secure content delivery networks.

These measures are vital in maintaining the confidentiality and integrity of streaming media and ensuring that only authorized viewers can access the content. AWS’s security services are designed to integrate seamlessly with existing media workflows, providing a robust solution to counteract security challenges.

By leveraging AWS security tools, media companies can confidently offer their content to a global audience while ensuring compliance with digital rights management and content protection standards.

How KeyCore Can Assist

KeyCore is equipped to help media companies implement NDI integration with AWS Elemental MediaConnect and secure their media workflows. Our expertise in AWS services ensures that customers can effectively leverage cloud technologies to optimize their media operations. We provide both professional and managed services, guiding businesses through the complexities of AWS integration and security.

Our team can assist with the deployment of NDI-enabled workflows, ensuring smooth and reliable video ingestion to AWS. Additionally, KeyCore’s security specialists offer tailored solutions to safeguard your media content against unauthorized access and redistribution. By partnering with KeyCore, media companies can focus on content creation while we handle the technical intricacies of AWS cloud and security solutions.

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AWS Storage Blog

Efficient management of storage resources in cloud environments presents a significant challenge for organizations, especially as they scale. When businesses accumulate unused storage volumes that continue to incur costs without providing value, they encounter what is known as the ‘orphaned’ storage problem. This issue is particularly prevalent in containerized environments, such as those using Kubernetes, due to the complexity of storage lifecycle management. Utilizing AWS in conjunction with Salesforce, organizations can optimize their storage lifecycle management strategies.

Challenges in Storage Lifecycle Management

The primary challenge in managing stateful storage lifecycle on AWS with Kubernetes and Salesforce lies in identifying and addressing orphaned storage volumes. As operations scale, oversight in managing these volumes can grow, leading to increased costs and inefficiencies. Proper lifecycle management helps mitigate these issues by ensuring resources are allocated and decommissioned appropriately.

Solutions and Strategies

To optimize storage lifecycle management, organizations can implement automated monitoring and insights using AWS tools. Leveraging services like AWS CloudFormation for infrastructure as code and AWS Lambda for automation can streamline the detection and handling of unused storage volumes. Salesforce integration further allows for seamless tracking and management of storage resources across multiple platforms.

Database performance is crucial for any organization relying on IT infrastructure to support its applications. Performance slowdowns due to storage latency can significantly impact operational efficiency. To address these performance issues, especially for I/O intensive workloads, Amazon EBS io2 Block Express provides an advanced storage solution for running PostgreSQL databases.

Enhancing Database Performance

Amazon EBS io2 Block Express offers high-performance storage tailored for demanding database operations. By reducing storage latency, it ensures smoother database server operation and minimizes disruptions to user activities. This enhancement is particularly beneficial for organizations experiencing performance bottlenecks in their applications due to traditional storage solutions.

Benefits of EBS io2 Block Express

The primary advantage of using EBS io2 Block Express is the ability to handle I/O intensive workloads efficiently. This service provides higher input/output operations per second (IOPS) and consistent low latency, enabling databases to support more transactions and handle peak loads effectively. As a result, businesses can experience improved application performance and user satisfaction.

How KeyCore Can Assist

KeyCore offers expert consultancy services to help organizations optimize their AWS storage lifecycle management and enhance database performance. With deep expertise in AWS tools and services, KeyCore can assist in designing and implementing strategies that reduce costs and improve operational efficiency. Whether it involves automating storage management with Kubernetes or deploying high-performance databases using Amazon EBS io2 Block Express, KeyCore provides tailored solutions that meet specific business needs.

By partnering with KeyCore, organizations can leverage cutting-edge AWS technologies to streamline their IT infrastructure, ensuring scalable, cost-effective, and high-performance solutions are in place.

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AWS Architecture Blog

In a recent post on the AWS Architecture Blog, the team at Smartsheet detailed how they enhanced developer productivity by integrating Amazon Bedrock with Roo Code and Anthropic’s Claude. This initiative highlights the benefits of leveraging advanced AI services to streamline development processes and manage operational costs effectively.

Enhancing Developer Efficiency with AI

The integration of Amazon Bedrock and Roo Code allowed Smartsheet to automate routine tasks, thereby freeing developers to focus on more complex challenges. This application of AI technology not only enhanced productivity but also improved the overall quality of software development. The use of Anthropic’s Claude further supported this effort by providing sophisticated natural language processing capabilities, making it easier for developers to interact with code and documentation.

Cost Optimization through Caching Strategies

To manage costs associated with deploying AI models at scale, Smartsheet implemented innovative caching strategies. By intelligently caching responses and reusing them when appropriate, they were able to reduce the computational overhead and associated costs without compromising on performance or accuracy. This approach ensured that the benefits of AI integration were accompanied by a sustainable cost model, making it a viable solution for long-term adoption.

Business Value and Future Outlook

The deployment of these technologies at Smartsheet demonstrates a practical approach to enhancing productivity in software development teams. By automating routine tasks and optimizing resource use, organizations can realize significant efficiencies. The success of Smartsheet’s approach serves as a potential model for other companies looking to leverage AI to enhance their development processes.

How KeyCore Can Assist

KeyCore, as the leading AWS consultancy in Denmark, can help organizations harness the power of AWS technologies like Amazon Bedrock to boost productivity. Our expertise in implementing AI-driven solutions and cost optimization strategies ensures that businesses can achieve their desired outcomes efficiently. Whether through professional services or managed services, KeyCore provides the guidance and support needed to maximize the benefits of AWS solutions in enhancing developer workflows.

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AWS Cloud Enterprise Strategy Blog

Driving successful innovation quickly remains a significant challenge for many organizations, particularly in traditional settings, even amidst the advancement of generative AI. Research indicates that only 21% of organizations successfully achieve their innovation goals, underscoring the difficulties many face. A typical journey from concept to launch spans approximately 22 months, significantly impacting an organization’s ability to capitalize on market opportunities. Furthermore, an astounding 82% of engineers express a constant urge to find ways to accelerate this process.

Innovation Challenges in Traditional Organizations

Traditional organizations often grapple with legacy systems, bureaucratic hurdles, and rigid processes that slow down innovation. These factors create a cumbersome environment where transforming ideas into market-ready solutions is arduous. The bottleneck in the innovation pipeline can lead to missed opportunities as competitors with agile strategies seize market share.

Strategies to Accelerate Innovation

To overcome these barriers, organizations can adopt several strategies. Implementing cloud-based solutions such as AWS can streamline and automate core processes, thereby reducing the time required to bring innovations to market. Leveraging AWS’s comprehensive suite of tools, including machine learning and artificial intelligence services, can provide the technological backbone needed to foster rapid innovation.

Business Impact of Accelerated Innovation

Accelerating the innovation process can significantly enhance an organization’s competitive edge. Companies that reduce their go-to-market timelines can exploit first-mover advantages, respond swiftly to market demands, and adapt to technological changes seamlessly. This agility translates into increased market share, improved customer satisfaction, and enhanced revenue streams.

How KeyCore Can Help

KeyCore offers extensive expertise in implementing AWS solutions to facilitate faster innovation cycles. Our professional services can help redesign business processes to be more agile, leveraging advanced AWS tools for automation and innovation. Through our managed services, organizations can maintain focus on strategic objectives while we ensure their AWS infrastructure is optimized for performance and cost-efficiency. By partnering with KeyCore, organizations can break through traditional barriers, accelerating their journey from concept to successful innovation.

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AWS HPC Blog

Migrating a VeriFire Emulator design from F1 to F2 instances on Amazon EC2 can significantly enhance the efficiency of ASIC verification for users. By leveraging SilverLining EDA’s VeriFire on EC2 F2 Instances, users can unlock substantial improvements in both performance and cost-effectiveness.

Enhanced Price-Performance Ratio

The shift from F1 to F2 instances offers up to a 60% improvement in price-performance. This upgrade ensures that users can conduct more extensive testing and verification without exceeding budget constraints. The cost savings can be redirected to other critical areas of development, enhancing the overall project scope and capabilities.

Accelerated FPGA Build Times

Another notable advantage of migrating to F2 instances is the acceleration of FPGA build times by up to 80%. This speed enhancement allows design teams to iterate more rapidly, reducing time-to-market and improving competitive positioning. Faster build times also enable more frequent testing cycles, ensuring higher quality and more reliable ASIC designs.

Cloud-Based Emulation Advantages

SilverLining EDA’s solution leverages the robustness of cloud-based emulation, offering scalable, on-demand resources that adapt to the specific needs of each project. This flexibility is crucial for handling the varying computational demands of different design phases. Furthermore, the cloud-based infrastructure reduces the need for on-premise hardware, lowering maintenance costs and complexity.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, can facilitate seamless migration from F1 to F2 instances, ensuring optimized configurations tailored to project requirements. Our expertise in AWS services and solutions ensures that the transition is smooth and any potential challenges are addressed proactively. KeyCore also offers continued support to maximize the benefits of the SilverLining EDA’s VeriFire solution, enabling clients to achieve their ASIC verification goals efficiently and cost-effectively. Find out more about our services at KeyCore’s website.

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AWS Cloud Operations Blog

As enterprise organizations expand their cloud infrastructure across multiple AWS accounts, maintaining compliance becomes increasingly complex. The growth of resources and diverse configuration needs across business units can pose significant challenges. This is where Amazon Q Business and AWS Config come into play to offer valuable compliance insights within AWS environments.

Understanding AWS Config

AWS Config is a crucial service for organizations looking to manage their cloud resources effectively. It continuously assesses, audits, and evaluates the configurations of AWS resources, allowing organizations to maintain oversight. By tracking changes and evaluating resource configurations against desired states, AWS Config helps ensure compliance with internal policies and external regulations.

Leveraging Amazon Q Business

Amazon Q Business complements AWS Config by providing a comprehensive view of compliance statuses across accounts. It aggregates data, making it easier for enterprises to understand their compliance posture. This insight is essential for identifying areas needing attention and ensuring that business units adhere to corporate governance frameworks.

Gaining Business Value

For enterprises, gaining compliance insights translates to operational excellence and reduced risk. By effectively using AWS Config and Amazon Q Business, organizations can not only ensure regulatory compliance but also optimize resource configurations, leading to cost savings and improved performance. This capability enhances the overall strategic value that cloud infrastructure provides to the business.

How KeyCore Can Help

KeyCore, as the leading AWS consultancy in Denmark, can assist organizations in implementing and optimizing AWS Config and Amazon Q Business solutions. With our expertise in AWS best practices, we help enterprises configure these tools to align with specific business and compliance needs. From initial setup to ongoing management, KeyCore provides the support necessary to achieve comprehensive compliance insights, thereby allowing organizations to focus on innovation and growth.

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AWS for Industries

Unlocking Video Data: Siemens and Amazon Bedrock Data Automation

Siemens, a global technology leader, has enhanced its online information portal using Amazon Bedrock Data Automation. This strategic move allows Siemens to provide its users with seamless access to relevant products, guides, and support tools. By enabling quick and efficient search capabilities, Siemens enhances customer satisfaction and boosts product sales, both of which are vital for sustaining the company’s revenue and reputation. This implementation highlights the importance of leveraging advanced data automation to streamline user experiences and drive business growth.

Transforming Mental Healthcare through Technology

The mental healthcare industry is undergoing a significant transformation thanks to technological advancements. AI-powered tools are now assisting clinicians by reducing documentation workloads and providing valuable insights, thereby improving efficiency. Digital platforms are also playing a crucial role by connecting patients with the necessary care, eliminating long waitlists. This technological shift is not only improving patient outcomes but also enhancing the overall mental healthcare landscape by making it more accessible and efficient.

Genentech’s Innovative Use of Generative AI for Unstructured Data

Genentech, part of the Roche Group, is revolutionizing how it processes unstructured data across its Commercial, Medical, and Government Affairs team by using generative AI. This approach allows Genentech to handle vast amounts of data in various formats, such as text, images, and videos, more efficiently. By leveraging these technologies, Genentech aims to improve health outcomes and ensure equitable access for patients by drawing more comprehensive insights from data at scale.

Enhancing Product Engineering with Teamcenter Simulation on AWS

In the competitive manufacturing arena, organizations are adopting virtual engineering workflows, like Teamcenter Simulation on AWS, to streamline product development. These workflows enable the evaluation of key performance indicators such as performance, cost, reliability, and manufacturability. By implementing Simulation Process and Data Management (SPDM) solutions, companies can accelerate and optimize their engineering processes, leading to faster product rollouts and improved market competitiveness.

Stel Life: Revolutionizing Healthcare with Integrated Connected Care

Stel Life is addressing critical challenges in the healthcare sector, such as workforce shortages and rising chronic conditions, by integrating connected care solutions. Remote patient monitoring technologies help manage post-discharge patients effectively, ensuring treatment adherence and reducing readmissions. With 90% of healthcare providers recognizing the potential of these technologies, Stel Life’s innovations are crucial for enhancing patient care and operational efficiency.

Insights from the 7th Annual AWS Life Sciences Symposium

The seventh annual AWS Life Sciences Symposium gathered over 1,000 industry leaders to discuss cutting-edge advancements in life sciences technology. With 39 speakers across 26 sessions, the symposium emphasized the significant impact of technology on the future of life sciences. Key topics included personalized medicine, AI-driven research, and cloud-based infrastructure, showcasing AWS’s role in driving innovation within the industry.

Optimizing Healthcare Costs on AWS

As the healthcare industry shifts to cloud-based solutions, effectively managing cloud costs becomes paramount. AWS offers strategies for cost optimization that help healthcare organizations enhance service delivery and ensure compliance. These strategies are crucial for maximizing the value of cloud investments, particularly given the unique requirements of healthcare applications, which often include complex dependencies and regulatory considerations.

Agentic AI: Accelerating Life Sciences Innovation on AWS

The life sciences sector is embracing agentic AI to enhance research and collaboration. Recent advancements in AI models, enterprise infrastructure, and developer tools, particularly on AWS, make it easier to build intelligent, scalable solutions. These innovations are accelerating research processes and enabling more impactful outcomes, positioning AWS as a key enabler in the ongoing evolution of life sciences technologies.

How KeyCore Can Assist in Industry Transformation

KeyCore, as Denmark’s leading AWS consultancy, is well-positioned to assist organizations across various industries in adopting AWS technologies. From deploying advanced data automation solutions to optimizing healthcare costs and enhancing engineering workflows, KeyCore provides comprehensive services to ensure successful AWS integration. By partnering with KeyCore, organizations can leverage AWS’s full potential, driving innovation and achieving their business objectives effectively.

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AWS Marketplace

Structuring Your Organization for AWS Marketplace Success

Successful companies on AWS Marketplace excel by aligning multiple departments and stakeholders to integrate AWS Marketplace seamlessly into their existing business processes. This structure involves cross-departmental collaboration, ensuring that sales, marketing, product development, and IT departments are all aligned with the organization’s AWS Marketplace strategy. Companies that succeed in this space often establish specialized teams or roles dedicated to managing their presence on AWS Marketplace, overseeing tasks from vendor management and compliance to marketing strategies. Furthermore, integrating AWS Marketplace into the broader enterprise architecture requires an understanding of AWS’s offerings and how they fit into the organization’s product and service delivery models.

Innovating Healthcare with Cloud Technology

The healthcare industry is undergoing a digital transformation, driven by financial pressures and workforce shortages. Despite these challenges, there is an opportunity for innovation through increased technology spending. AWS, combined with AWS Marketplace solutions, provides healthcare providers with tools that break down communication barriers, enhance collaboration, ensure robust security, and allow timely access to critical information. These technologies support healthcare organizations in reimagining service delivery, improving patient outcomes, and increasing operational efficiency. By leveraging the cloud, healthcare providers can implement scalable solutions that adapt to their evolving needs.

Scalable AI Governance with Domino on AWS Marketplace

Domino’s Enterprise AI Platform, available in AWS Marketplace, empowers organizations to innovate with AI while maintaining governance and performance. The platform integrates with AWS machine learning accelerators, enabling enterprises to streamline AI deployment and development. Domino simplifies the deployment process to Amazon SageMaker, which helps teams accelerate AI innovation responsibly and efficiently. This integration supports scalable AI governance, ensuring that AI initiatives align with organizational objectives and compliance requirements, while also optimizing the use of AWS’s robust ML infrastructure.

How KeyCore Can Assist

KeyCore offers expertise in navigating and leveraging AWS Marketplace to achieve business objectives. Their team can assist organizations in structuring departments to maximize AWS Marketplace success, implementing innovative healthcare solutions using AWS technologies, and deploying scalable AI governance frameworks with platforms like Domino. KeyCore provides comprehensive support in strategizing, deploying, and managing AWS solutions tailored to your organization’s needs. Learn more about how KeyCore can enhance your AWS journey at KeyCore’s website.

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The latest AWS security, identity, and compliance launches, announcements, and how-to posts.

Amazon EKS on EC2 provides a powerful platform for containerized applications, but like any system, it is prone to security events. Quick and effective incident response is crucial to minimizing the potential impact of these events. Automation plays a key role in achieving this.

Importance of Incident Response Automation

Security incidents can have significant impacts if not addressed quickly. Automated incident response enables organizations to rapidly respond to security events, ensuring that incidents are managed in a standardized and efficient manner. This includes automated triaging, capturing forensic evidence, and quarantining affected resources.

Standardized Procedures for Quick Reaction

Implementing automated security protocols allows for a standardized approach, reducing the time spent on manual processes and minimizing human error. By using predefined templates and scripts, organizations can ensure that the response to an incident is consistent and follows best practices.

Steps to Automate Incident Response

Automation of incident response in Amazon EKS involves several key steps. First, configure monitoring and alerting to detect potential security events. Then, use AWS Lambda functions or other automation tools to execute predefined response actions when an alert is triggered. These actions may include isolating compromised resources, collecting logs and metrics, and notifying stakeholders.

Enhancing Security Posture with Automation

By automating incident response, organizations can enhance their overall security posture. This not only reduces the time to respond to incidents but also allows security teams to focus on higher-level strategic tasks rather than getting bogged down with repetitive manual processes.

How KeyCore Can Help

KeyCore offers expertise in deploying automated incident response solutions tailored to Amazon EKS on EC2. With a deep understanding of AWS best practices, KeyCore can design, implement, and manage these automated systems, ensuring your environment remains secure and compliant. Whether your organization needs help setting up automated alerts, creating response templates, or integrating third-party security tools, KeyCore’s managed services provide comprehensive support throughout the process.

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Innovating in the Public Sector

Digital Sovereignty and AWS Summit Hamburg 2025

Digital sovereignty is pivotal to Europe’s technological advancement, gaining prominence at the AWS Hamburg Summit on June 5, 2025, at Hamburg Messe. This event will delve deep into digital sovereignty solutions, spotlighting the upcoming AWS European Sovereign Cloud. As European organizations grapple with evolving regulatory and data protection landscapes, AWS offers an extensive array of sovereignty solutions to ensure compliance and innovation. This summit will be a critical platform for showcasing these advancements and supporting European organizations in their digital journeys.

Social Value in the UK Public Sector

AWS is dedicated to creating significant social value within the UK public sector through technological initiatives and strategic partnerships. By supporting digital transformation, AWS aids public sector entities in enhancing their service delivery and societal impact. This commitment extends to empowering public sector organizations to harness technology for greater efficiency, inclusivity, and transparency, ultimately fostering a more sustainable and equitable future.

Generative AI at UBC Cloud Innovation Centre

The University of British Columbia (UBC) Cloud Innovation Centre (CIC) stands as an innovation leader by leveraging AWS to prototype generative AI solutions. By partnering with public sector sponsors, UBC CIC accelerates AI development, sharing valuable insights and tools that can drive similar projects to success. This collaboration not only propels technological advancement but also fosters a culture of innovation and practical application in the public sector.

AI Innovations at AWS Summit Washington, DC 2025

Scheduled for June 10-11, 2025, the AWS Summit in Washington, DC, is set to be the premier event in North America for the public sector community. Held at the Walter E. Washington Convention Center, the summit will offer a unique opportunity to explore AI innovations, enhance cloud skills, and expand professional networks. Attendees can expect in-depth sessions, hands-on labs, and keynote addresses that cater specifically to public sector professionals.

AI Data Security for Public Safety Agencies

Public safety agencies are increasingly considering generative AI solutions, and data security is a paramount concern. AWS provides robust security frameworks and guidelines, assisting agencies in establishing secure, compliant AI systems. By choosing AWS as a partner, public safety entities can ensure their AI initiatives meet stringent security requirements while leveraging cutting-edge technology.

HSR.health and AWS Pilot Project: Amazon Nova in Healthcare AI

HSR.health collaborates with AWS to pilot Amazon Nova, a foundation model aimed at advancing healthcare AI through geospatial health risk prediction. This partnership seeks to evaluate the model’s performance, process efficiency, and cost-effectiveness. The project signifies a groundbreaking step in integrating AI into healthcare, potentially transforming how health risks are predicted and managed.

How KeyCore Can Assist

KeyCore is ideally positioned to support organizations in implementing these AWS solutions. With deep expertise in AWS technologies and a comprehensive understanding of public sector needs, KeyCore provides tailored professional and managed services to ensure successful digital transformations. Our team can guide your organization through the complexities of digital sovereignty, AI adoption, and cloud migration, ensuring compliance and optimizing operational outcomes. Explore how KeyCore can partner with you on your AWS journey by visiting our website.

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The Internet of Things on AWS – Official Blog

In the modern era of digital enterprises, organizations are increasingly depending on asset management solutions to optimize their operations. A common challenge they face is managing identical physical assets across various IT and operational technology (OT) systems. With the integration of ServiceNow OT Asset Workspaces and AWS IoT SiteWise Asset Models, businesses can overcome this hurdle effectively.

Streamlined Asset Management

ServiceNow is a robust service that assists IT teams in tracking and managing enterprise IT assets, covering everything from hardware components to complex operational tools. By integrating ServiceNow with AWS IoT SiteWise, organizations can create a unified view of their assets. This integration enables seamless data flow between IT and OT systems, ensuring consistent asset management across the entire organization.

Enhanced Data Consistency

One of the primary advantages of integrating ServiceNow with AWS IoT SiteWise is the enhancement of data consistency. This integration allows for the synchronization of asset data, reducing discrepancies and improving the accuracy of asset information. As a result, stakeholders can make more informed decisions based on real-time, reliable data.

Operational Efficiency

By combining ServiceNow’s asset management capabilities with AWS IoT SiteWise, organizations can significantly boost operational efficiency. The integration allows for automated data collection and analysis, reducing the manual effort required to manage assets. This leads to streamlined operations, reduced downtime, and increased productivity.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, can assist organizations in implementing this integration to harness the full potential of their asset management strategies. With our expertise in AWS IoT services, we guide businesses through the integration process, ensuring a smooth transition and long-term success. Our services include customized solutions tailored to meet specific organizational needs, making sure that the integration aligns perfectly with existing workflows and operational goals.

For more details on how KeyCore can support your IoT initiatives, visit our website at KeyCore.dk.

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AWS Open Source Blog

At AWS, the emphasis on open standards is a foundational element of their technological approach. This ethos is evident in the creation of Amazon Elastic Cloud Compute (EC2) and Amazon SageMaker, which are designed to be protocol-agnostic and framework-agnostic, respectively. As AWS continues to innovate, they are advancing into the agentic AI era with a focus on inter-agent communication. This progression underscores their enduring commitment to openness.

The Importance of Open Protocols

Open protocols are essential for ensuring seamless communication between diverse agents in the AI ecosystem. By adhering to these standards, AWS facilitates interoperability, which is crucial for creating a more integrated and collaborative AI landscape. This approach not only enhances functionality but also promotes innovation by allowing different systems to communicate effectively.

Implications for Agentic AI

The transition towards agentic AI requires robust inter-agent communication protocols. AWS is pioneering efforts in this direction, ensuring that their services can effectively interact with other agents through standardized communication methods. This strategy supports the development of more adaptive and intelligent AI systems, capable of working together to solve complex problems.

KeyCore’s Role in Implementing Open Standards

KeyCore, as Denmark’s leading AWS consultancy, plays a crucial role in helping businesses leverage these open protocols effectively. By providing expert guidance and managed services, KeyCore ensures that clients can fully harness the potential of AWS’s interoperable AI solutions. Their expertise in deploying and managing AWS services allows organizations to integrate open protocols seamlessly, driving innovation and efficiency.

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