Summary of AWS blogs for the week of monday Mon May 05

In the week of Mon May 05 2025 AWS published 68 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

In the realm of AWS DevOps and developer productivity, two recent advancements have emerged to streamline and enhance coding workflows. These innovations, focused on integration with popular development tools, promise to significantly reduce development cycles and improve coding efficiency.

Accelerate Development Workflows with Amazon Q Developer and GitHub

The Amazon Q Developer integration for GitHub offers a promising solution for developers aiming to accelerate their development workflows. Currently in preview and available for free without the need for an AWS account, this integration allows developers to automatically execute coding tasks within GitHub.com and GitHub Enterprise Cloud. By leveraging the advanced premium models that power Q Developer, teams can implement new features, generate bug fixes, and ultimately shorten release cycles, all at no additional cost. This seamless integration into GitHub provides a powerful tool for enhancing the speed and efficiency of software development, helping developers to focus on innovation while reducing the time spent on manual coding tasks.

Enhance Coding with Agentic Experience in Your IDE

Another significant enhancement comes in the form of an agentic coding experience introduced by Amazon Q Developer, now available in integrated development environments (IDEs). This feature builds upon the previously introduced Amazon Q Developer CLI, bringing intelligent coding capabilities directly into the IDE. With agentic coding, developers can engage with Amazon Q Developer to read and write files locally, run code, and receive contextual assistance without leaving their development environment. This integration enhances productivity by enabling developers to effortlessly navigate through their coding tasks, thus streamlining the development process and enabling more efficient coding practices.

How KeyCore Can Help

At KeyCore, Denmark’s leading AWS consultancy, our experts are well-versed in leveraging AWS tools to optimize development workflows. We can assist organizations in integrating Amazon Q Developer into their existing GitHub and IDE ecosystems, ensuring a smooth transition and maximizing the benefits from these advancements. Whether through professional services to set up and configure these tools or managed services to maintain and optimize their use, KeyCore is equipped to help developers unleash the full potential of AWS technologies in their development processes. Learn more about how we can facilitate your journey to enhanced developer productivity at KeyCore.

Read the full blog posts from AWS

Official Machine Learning Blog of Amazon Web Services

Amazon Web Services (AWS) continues to enhance its offerings in the field of machine learning, providing businesses with innovative tools to optimize their operations and marketing strategies. Recent articles from the official AWS Machine Learning Blog highlight advancements in marketing intelligence, forecasting, and generative AI evaluations, all leveraging the power of Amazon Bedrock and large language models (LLMs). Here’s a concise overview of these developments.

Enhancing Marketing Intelligence with Amazon Bedrock and LLMs

The media and entertainment industry heavily relies on the effectiveness of marketing campaigns to drive business success. Amazon Bedrock, combined with large language models (LLMs), offers companies a powerful toolset for content creation, sentiment analysis, and campaign performance evaluation. By leveraging these technologies, businesses can better understand consumer responses and predict the impact of their marketing initiatives. This approach not only aids in attracting and retaining customers but also boosts revenue through improved campaign strategies. The integration of LLMs into marketing intelligence processes enables businesses to refine their approaches with data-driven insights, enhancing their competitive edge.

Revolutionizing Forecasting with Chronos Models and Amazon Bedrock

Traditional forecasting methods often rely on statistical models, which can be time-consuming and less adaptable to complex data patterns. Deutsche Bahn has taken a novel approach by employing Chronos models, now available on the Amazon Bedrock Marketplace. These models treat time series data as a language, using pre-trained foundational models to generate accurate forecasts swiftly. The Chronos method significantly reduces development time and increases prediction accuracy, allowing businesses to make informed decisions more rapidly. This innovative approach to forecasting is transforming how companies predict future trends and demands, ensuring they remain agile and responsive in a fast-paced market.

Evaluating Generative AI Applications with Custom Metrics on Amazon Bedrock

Amazon Bedrock now empowers developers to craft custom evaluation metrics tailored to their specific AI applications. This functionality builds upon the LLM-as-a-judge framework, enhancing the accuracy and relevance of AI evaluations. By defining unique metrics for model and Retrieval-Augmented Generation (RAG) evaluations, businesses can measure and enhance generative AI application performance based on their distinct criteria and business needs. This capability allows for more granular and relevant assessments, ensuring AI solutions align closely with organizational goals and deliver maximum value.

KeyCore’s Expertise in AWS Machine Learning Solutions

KeyCore stands out as the leading AWS consultancy in Denmark, offering professional and managed services tailored to your unique business needs. Our expertise in AWS machine learning solutions ensures that we can support your organization in deploying Amazon Bedrock and Chronos models effectively. Whether enhancing marketing intelligence, optimizing forecasting processes, or evaluating generative AI applications, KeyCore provides the knowledge and experience necessary to leverage AWS tools to their fullest potential. Reach out to KeyCore to explore how we can elevate your business operations through advanced AWS technologies.

Read the full blog posts from AWS

Announcements, Updates, and Launches

New AWS Region in Chile

AWS has announced the upcoming launch of a new AWS Region in Chile, targeted for completion by the end of 2026. This will be AWS’s third region in Latin America, joining existing Regions in São Paulo and Mexico. The new region will feature three Availability Zones, enhancing AWS infrastructure and services accessibility in Chile. Notably, this expansion will support local data residency requirements and deliver advanced capabilities, including artificial intelligence services. Businesses in Chile can look forward to improved latency, data sovereignty, and access to AWS’s vast suite of cloud services.

Enhanced Amazon EBS Snapshot Data Transfer

Amazon Elastic Block Store (EBS) has introduced a new feature to accelerate data transfer from EBS snapshots to new EBS volumes. This is achieved through a Provisioned Rate for Volume Initialization, allowing users to specify a consistent volume initialization rate. This innovation enhances workflow efficiency and predictability, enabling faster application start-up times and improved data management. Users can now enjoy streamlined operations with reduced wait times, bolstering overall system performance.

Highlights from AWS Summit Bangkok 2025

The AWS Weekly Roundup highlighted an array of announcements and activities from the AWS Summit in Bangkok. Among the exciting features were interactions at the Developer Lounge, where developers engaged in discussions, participated in lightning talks, and took part in challenges like the Amazon Q Developer Coding Challenge. This event emphasized AWS’s commitment to fostering developer innovation and community building. Participants also had opportunities to learn about Generative AI and win prizes through the AWS Builder ID Prize Wheel.

Amazon Q Developer on GitHub

Amazon has introduced Amazon Q Developer in preview on GitHub, which promises to revolutionize collaborative development. This AI-powered tool enables developers to delegate tasks such as feature development, code reviews, security enhancements, and Java code migration directly within GitHub. By leveraging AI agents, teams can increase productivity and focus on strategic initiatives. The integration within GitHub issues assists developers in streamlining their workflows and enhancing code quality.

KeyCore’s Role in AWS Innovation

KeyCore is ideally positioned to assist businesses in leveraging these AWS advancements. With deep expertise in AWS services, KeyCore can guide organizations through the setup and optimization of new regions, like Chile, ensuring compliance with local data residency requirements. Our team can also implement and optimize the new EBS snapshot transfer capabilities, enhancing system efficiency for clients. KeyCore’s knowledgeable consultants can help organizations maximize the benefits from events like the AWS Summit, while also integrating tools such as Amazon Q Developer into their development pipelines, facilitating automated, intelligent, and efficient code management.

Read the full blog posts from AWS

AWS Quantum Technologies Blog

Quantum computing is revolutionizing the way researchers conduct physics simulations. By harnessing the power of quantum computing, scientists can explore new frontiers in fundamental physics, such as quantum chromodynamics, which deals with the interactions of quarks and gluons. Amazon Braket, a fully managed quantum computing service, provides the tools needed to run these complex simulations.

Unlocking New Frontiers

Quantum chromodynamics (QCD) is the fundamental theory that describes the interactions between quarks and gluons, the building blocks of protons and neutrons. Simulating QCD is a formidable challenge due to the complexity and the vast computational resources required. Traditional computing methods have limitations when it comes to these types of simulations. However, quantum computing offers a new approach by providing exponential speedups for certain types of computations.

Simulating Quantum Chromodynamics with Amazon Braket

Amazon Braket enables researchers to simulate models related to QCD by providing access to a variety of quantum computing resources. It allows users to build and test quantum algorithms on simulated quantum computers as well as actual quantum hardware from different quantum technology providers. This flexibility is crucial for researchers who need to experiment with different quantum models and configurations to gain insights into fundamental physics.

The Potential of Quantum Computing in Physics

The ability to simulate complex quantum systems like QCD opens up a myriad of opportunities for breakthroughs in fundamental physics. With quantum computing, researchers can potentially uncover new phenomena and gain deeper insights into the behavior of particles at the smallest scales. This could lead to advancements in particle physics, materials science, and other fields that rely on understanding the interactions at the quantum level.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy, is well-positioned to assist organizations in leveraging Amazon Braket for quantum computing initiatives. Our expertise in AWS services ensures that your research and computing needs are met with the highest level of proficiency. Whether it’s developing quantum algorithms or integrating quantum computing into existing workflows, KeyCore provides the guidance and support needed to explore the full potential of quantum technologies.

Read the full blog posts from AWS

Official Database Blog of Amazon Web Services

Perform OS Upgrades for Amazon RDS Custom for SQL Server CEV with Multi-AZ

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server offers users enhanced control by providing OS shell-level access and database administrator privileges. This level of control introduces the shared responsibility model, necessitating user management of their own OS and database patching. Notably, any operating system (OS) modifications made after the creation of an instance do not persist automatically. To ensure OS-level customizations are retained, users must implement strategies that allow for these changes to be maintained over time. Multi-AZ deployments add an additional layer of resilience and availability, which is beneficial for mission-critical applications requiring high availability and disaster recovery capabilities.

Extract and Migrate Data from Nested Tables with User-Defined Nested Types from Oracle to PostgreSQL

Oracle databases allow for user-defined types (UDTs) that can include member functions written in PL/SQL, which are directly integrated into the UDT. This feature is not currently supported in PostgreSQL, where member functions within UDTs are not available. This post explores the differences between the two database systems, offering detailed guidance for a seamless migration process. Emphasis is placed on maintaining the integrity of data models during the transition. Additionally, the article provides insights into converting complex member type functions within multi-nested UDTs from Oracle to a PostgreSQL environment, allowing for a successful adaptation to PostgreSQL’s structural paradigms.

AWS DMS Implementation Guide: Building Resilient Database Migrations

This guide focuses on enhancing the reliability and performance of database migrations using AWS Database Migration Service (DMS). It underscores the importance of strategic planning and architectural foresight during the initial setup phase. Organizations can benefit from proactive measures, such as comprehensive testing, continuous monitoring, and establishing standard operating procedures (SOPs). These strategies aid in optimizing AWS DMS implementations, helping to avoid common migration pitfalls. Through careful planning, businesses can ensure their replication systems are robust and capable of handling unexpected challenges, thereby improving overall database migration success rates.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, is uniquely positioned to assist organizations in leveraging AWS services effectively. Our team of experts can guide your business through the complexities of managing Amazon RDS Custom for SQL Server, ensuring that your OS-level customizations are maintained and that your systems are resilient. We offer tailored solutions for migrating data from Oracle to PostgreSQL, preserving your data integrity and optimizing performance. Additionally, we can help design and implement robust AWS DMS strategies, ensuring smooth and efficient database migrations. Trust KeyCore to provide professional services and managed solutions that align with your organizational goals.

Read the full blog posts from AWS

AWS Training and Certification Blog

From Curious Beginner to AWS Project Builder: Nikhil Nareddula’s Journey with AWS Educate

Nikhil Nareddula provides a compelling narrative of his transformation from a complete beginner to a proficient AWS project builder through the AWS Educate program. Leveraging an array of free resources, structured learning paths, and hands-on labs, Nikhil was able to transition his curiosity into real-world cloud solutions. His journey underscores the accessibility of cloud education for anyone willing to engage with the AWS Educate platform. Aspiring cloud professionals can learn from his experience, using the available community support and practical applications to kickstart their careers in cloud computing.

Experience-Based Acceleration: Comprehensive Pre- and Post-Migration Guides

The AWS Experience-Based Acceleration (EBA) series offers a detailed roadmap for effective cloud migration and post-migration processes. In the pre-migration guide, AWS Solutions Architects emphasize the importance of establishing solid foundations through AWS Training & Certification. This preparation is crucial for avoiding common migration challenges. The post-migration guide focuses on optimizing cloud operations, highlighting essentials such as monitoring, security, and disaster recovery. By following these guides, organizations can enhance their cloud journey, ensuring they harness the full value of their AWS investments while empowering their teams through targeted training resources.

Elevate Your Cloud Skills with AWS Educate

A firsthand account from an AWS Educate Learner Advocate illustrates the transformative impact of AWS Educate on individual skill development. By accessing the platform’s array of free resources, structured pathways, and interactive labs, learners can effectively navigate from being overwhelmed novices to confident cloud experts. This program not only provides the tools necessary for skill enhancement but also fosters a supportive learning environment, making the daunting journey to cloud proficiency both achievable and engaging.

How KeyCore Can Help

KeyCore is well-versed in guiding organizations and individuals through their cloud journeys, leveraging AWS Educate and Experience-Based Acceleration methodologies. With expert consultancy services, KeyCore can help tailor AWS training programs to align with your organizational goals, ensuring that your team is equipped with the necessary skills to maximize your AWS infrastructure. Whether it’s preparing for a migration or optimizing post-migration operations, KeyCore’s comprehensive approach ensures a smooth and effective transition to the cloud, empowering you to achieve operational excellence.

Read the full blog posts from AWS

Official Big Data Blog of Amazon Web Services

Configure Cross-Account Access for Amazon SageMaker Lakehouse Multi-Catalog Tables

In this article, the process of enabling cross-account access for Amazon Redshift tables and Amazon S3-based Iceberg tables is explained. The data sharing is facilitated from the owner account to a recipient account using AWS Glue 5.0 Spark. The guide provides a comprehensive setup for cross-account configurations and includes a Python notebook with necessary Spark configurations. This solution allows for advanced data analysis by executing join queries on shared data lake and data warehouse tables, enhancing collaborative data-driven decision-making across different AWS accounts.

Introducing Amazon Q Developer in Amazon OpenSearch Service

Amazon has unveiled Amazon Q Developer support in OpenSearch Service, an AI-assisted analysis tool. This feature is designed to simplify the navigation of complex operational data, making it accessible to both new and experienced users without requiring extensive training. By assisting in data analysis, users can efficiently diagnose issues and extract insights swiftly. The post provides a detailed guide on initiating Amazon Q Developer in OpenSearch Service, highlighting its key functionalities that enhance user experience and operational efficiency in data management.

Accelerate Lightweight Analytics with PyIceberg

This article showcases how PyIceberg, combined with AWS Glue Data Catalog and AWS Lambda, enables efficient analytics. The integration supports lightweight interaction with Iceberg tables through Python, allowing teams to leverage Iceberg’s robust features quickly. The minimal setup and infrastructure requirements align with the need for agile data handling and processing. This approach significantly reduces the time and resources required to deploy complex analytics, facilitating immediate data insights.

Enhancing OpenSearch Performance with Intel AVX-512

With the release of OpenSearch version 2.19, Amazon introduces support for Intel AVX-512, enhancing binary vector performance in OpenSearch Service. This advancement brings hardware-accelerated improved latency and throughput, which can considerably reduce the total cost of ownership (TCO). The post explains the technical enhancements and their impact on OpenSearch workloads, providing insights into achieving optimal performance and cost efficiency.

Automate Row-Level Security Replication to Amazon QuickSight

This article outlines a method for automating the replication of row-level security configurations from AWS Lake Formation to Amazon QuickSight. The solution accommodates scenarios where Amazon QuickSight’s authentication does not rely on IAM Identity Center and functions seamlessly with both direct query and SPICE datasets. By automating these security entitlements, organizations can ensure consistent and secure data access across different analytical platforms, enhancing both data governance and user productivity.

KeyCore’s Expertise in AWS Solutions

KeyCore, as a leading AWS consultancy, offers advanced services in implementing and optimizing AWS solutions such as those discussed above. Our team can assist in configuring cross-account data access, deploying AI-assisted tools like Amazon Q Developer, and integrating lightweight analytics solutions using PyIceberg. Additionally, we provide expertise in leveraging hardware accelerations for OpenSearch and automating security replications to Amazon QuickSight. With KeyCore, businesses can achieve seamless AWS integrations and enhanced operational efficiencies.

“`

Read the full blog posts from AWS

Networking & Content Delivery

United Airlines Implements Enterprise-wide Resilience Program with AWS

United Airlines, one of the leading airlines in the U.S., has partnered with AWS to develop an enterprise-wide resilience program. This initiative is part of their “United Next” plan, introduced in 2021, which aims to transform the airline’s operations fundamentally. Utilizing AWS’s robust cloud infrastructure, United Airlines has bolstered its operational resilience, ensuring seamless service delivery even in the face of unforeseen disruptions. Through AWS’s innovative solutions, United Airlines can leverage scalable and secure cloud services to maintain high availability and performance. This collaboration underlines the importance of integrating cloud technologies to enhance business resilience and agility.

Salesforce Business Technology’s Use of AWS Direct Connect SiteLink

Salesforce Business Technology has adopted AWS Direct Connect SiteLink to support its global connectivity needs. By implementing this solution, Salesforce has enhanced its hybrid architecture, enabling reliable and high-speed connections between its on-premises data centers and AWS regions worldwide. This strategic move facilitates Salesforce’s global expansion and accelerates its cloud migration efforts, ensuring seamless data transfer and reduced latency. AWS Direct Connect SiteLink provides Salesforce with a resilient, high-performance network architecture that supports its business operations on a global scale, offering significant improvements in connectivity and efficiency.

Building Your First AWS WAF Web ACL

In today’s digital landscape, applications face numerous security threats, including DDoS attacks, SQL injection, and cross-site scripting. AWS Web Application Firewall (WAF) provides a robust solution to protect against such vulnerabilities. This guide demonstrates how to build a web access control list (web ACL) using AWS WAF to safeguard applications effectively. AWS WAF offers customizable rules and filtering options, enabling users to protect their applications from evolving threats. By deploying AWS WAF, organizations can enhance their security posture, ensuring robust protection against malicious activities and maintaining the integrity of their web applications.

Scaling SaaS Applications with Amazon CloudFront SaaS Manager

Amazon CloudFront SaaS Manager is a groundbreaking tool designed to help platform providers efficiently manage multi-domain SaaS applications. Building on over 16 years of innovation, CloudFront SaaS Manager allows enterprises to scale, secure, and accelerate their applications globally. It offers seamless integration and management capabilities, enabling providers to optimize their content delivery networks effectively. By utilizing Amazon CloudFront SaaS Manager, businesses can benefit from increased performance, enhanced security features, and a simplified deployment process, ensuring their SaaS applications deliver optimal user experiences across the globe.

KeyCore’s Expertise

KeyCore, Denmark’s premier AWS consultancy, stands ready to assist businesses in implementing these advanced AWS solutions. Whether enhancing operational resilience, optimizing global connectivity, securing applications, or scaling SaaS offerings, KeyCore provides the expertise necessary to leverage AWS technologies fully. By partnering with KeyCore, organizations can unlock the full potential of AWS services, ensuring robust, scalable, and secure cloud environments tailored to their specific business needs. Visit KeyCore to learn more about how their services can benefit your organization.

Read the full blog posts from AWS

AWS Compute Blog

In today’s cloud-driven world, monitoring network traffic within AWS Lambda functions is crucial for optimizing performance and enhancing security. Developers can leverage various methods to gain insights into network behavior and spot potential issues. Here’s a breakdown of key techniques for monitoring network traffic in Lambda functions.

Understanding the Importance

Network traffic monitoring in AWS Lambda is vital for several reasons, including identifying bottlenecks, ensuring data security, and maintaining compliance. By keeping an eye on outbound and inbound traffic, developers can fine-tune their serverless applications for better efficiency and reliability.

Tools and Techniques

There are multiple tools and strategies available to monitor network traffic within Lambda functions:

  • VPC Flow Logs: These logs can capture information about the IP traffic going to and from network interfaces in your VPC. They provide a potent method for monitoring, troubleshooting, and analyzing network traffic.
  • Amazon CloudWatch Logs: By integrating Lambda functions with CloudWatch, developers can create log groups, set up filters, and analyze log data to keep track of network activities.
  • X-Ray for Tracing: AWS X-Ray can trace requests as they travel through your Lambda functions, providing insights into network calls and latency issues.

Applying Network Monitoring

To effectively monitor network traffic, developers need to configure their Lambda functions to work within a VPC. This setup allows the use of VPC Flow Logs and other AWS networking features. Ensuring that functions have the correct IAM permissions is also essential to access monitoring tools and services.

How KeyCore Can Help

KeyCore’s expertise in AWS environments can assist organizations in setting up robust network monitoring for Lambda functions. From configuring VPC setups to integrating advanced monitoring tools, KeyCore ensures that businesses can track network traffic efficiently, ensuring optimal performance and security. Visit KeyCore to learn more about how we can support your AWS Lambda network monitoring needs.

Read the full blog posts from AWS

AWS for M&E Blog

Optimizing AWS Elemental MediaLive Costs

In the fast-paced environment of live video streaming, media companies constantly face the challenge of optimizing costs while providing high-quality service. AWS Elemental MediaLive, a cloud-based live video processing service, offers flexible pricing models that can help mitigate these challenges. However, finding the right mix between on-demand and reserved instances requires a data-driven approach. By analyzing usage patterns and cost implications, companies can tailor their MediaLive usage to better align with their budget and operational demands.

Balancing On-Demand and Reserved Instances

The fundamental choice between on-demand and reserved instances involves understanding usage metrics and forecasted demand. On-demand instances provide flexibility and scalability, ideal for unpredictable workloads. In contrast, reserved instances guarantee capacity at a lower cost, but require upfront commitment. Utilizing AWS Cost Explorer and AWS Cost and Usage Reports can offer insights into past usage patterns, enabling organizations to make informed decisions on balancing these options to optimize expenses.

FOX’s Record-Breaking Super Bowl Broadcasts with AWS

FOX’s digital video platform team is leveraging AWS technology to prepare for the next Super Bowl broadcast, aiming to surpass previous accomplishments. Their Super Bowl LIX stream already set unprecedented records, showcasing the scalability and reliability of AWS services. By utilizing AWS’s robust infrastructure, FOX can deliver seamless, high-quality broadcasts to an expansive audience.

Preparing for Future Success

Even during the NFL offseason, FOX is meticulously planning to ensure their next broadcast exceeds expectations. AWS’s suite of services, including AWS Elemental MediaLive, provides FOX with the tools necessary to handle vast audience spikes and deliver exceptional viewing experiences. Through continuous improvement and leveraging AWS innovation, FOX is positioned to maintain its status as a leader in digital sports broadcasting.

How KeyCore Can Assist

At KeyCore, Denmark’s leading AWS consultancy, our expertise in AWS Elemental MediaLive and related services can support organizations in both optimizing live video streaming costs and enhancing broadcast quality. With a deep understanding of AWS’s flexible pricing models, our team can provide guidance on cost analysis and strategic implementation of on-demand and reserved instances. Whether it is planning for a major event like the Super Bowl or managing everyday streaming, KeyCore can help your company leverage AWS technologies to achieve optimal results. Learn more about our offerings at KeyCore.

Read the full blog posts from AWS

AWS Storage Blog

Amazon S3 has long been a cornerstone of AWS’s data storage solutions, offering a highly reliable and secure platform since its inception in 2006. Recent efforts have focused on enhancing S3’s capabilities even further, particularly through the introduction of Amazon S3 Tables. This new feature represents a significant evolution in data management, aligning S3 more closely with modern data processing needs.

Enhancements in Data Handling

Amazon S3 Tables transform how businesses manage data by streamlining the integration of structured data storage and processing directly within S3. This enables organizations to efficiently store large datasets while maintaining the flexibility to perform complex queries and analyses. The rapid delivery of these capabilities within the first five months underscores AWS’s commitment to innovating storage solutions that meet the growing demands for scalability and speed.

Business Impact

For businesses, the introduction of Amazon S3 Tables simplifies data architecture by allowing data to reside in its native format and facilitating advanced data processing tasks without moving datasets between services. This reduces operational overhead and accelerates data-driven decision-making. As a result, businesses can optimize their data strategies with reduced latency and improved performance, leading to better strategic outcomes.

KeyCore’s Expertise

KeyCore, as Denmark’s leading AWS consultancy, is uniquely positioned to help organizations leverage the power of Amazon S3 Tables. By providing expert guidance on how to integrate these new capabilities into existing systems, KeyCore ensures that clients can maximize the benefits of AWS’s latest innovations. Whether through professional services or managed services, KeyCore supports businesses in harnessing AWS technology to drive efficiency and innovation.

Read the full blog posts from AWS

AWS Developer Tools Blog

Arctic: Automated Desktop Application Testing

The Amazon Corretto team is dedicated to ensuring that Java applications maintain consistent graphical rendering across updates. They deliver over 75 OpenJDK bundles for different platforms and Java versions, which include the AWT and Swing UI libraries. These components are essential for desktop application testing because even minor changes can significantly affect how graphical elements are displayed. The team’s efforts guarantee that after a Java update, user interface elements like buttons continue to appear correctly. This attention to detail is crucial to maintaining the visual integrity and functionality of Java applications across various environments.

Deploying .NET Applications to ARM-Based Compute

The AWS Deploy Tool for .NET has expanded its capabilities to support ARM-based compute platforms on AWS. This enhancement enables developers to deploy .NET applications to cost-effective ARM infrastructure like AWS Graviton, directly from Visual Studio or using the .NET CLI. Deploying to ARM-based systems offers benefits such as improved performance and lower costs, making it an attractive option for many developers. The tool maintains the familiar streamlined deployment experience, ensuring that teams can transition smoothly to ARM architecture without disrupting their workflow.

End of Support for AWS DynamoDB Session State Provider

AWS has announced the deprecation of the AWS DynamoDB Session State Provider for .NET. While support will continue for the next six months, it will officially cease on November 14, 2025. After this date, no further updates, including security and critical bug fixes, will be provided. Developers relying on this library should begin planning for alternatives to ensure continuity in their applications. This deprecation highlights the importance of keeping abreast with AWS updates and preparing for transitions to newer, supported technologies.

How KeyCore Can Assist

KeyCore, as an advanced AWS consultancy, offers specialized guidance on leveraging AWS developer tools effectively. With expertise in managing Java updates and deployments, KeyCore can assist businesses in maintaining their desktop applications’ consistency and functionality. For organizations looking to optimize their .NET applications on cost-efficient ARM architecture, KeyCore provides strategic advice and implementation support. Additionally, KeyCore can help smoothly transition away from deprecated AWS services like the DynamoDB Session State Provider, ensuring that businesses remain secure and efficient in their operations. Visit KeyCore to learn more about how we can enhance your AWS experience.

Read the full blog posts from AWS

AWS Partner Network (APN) Blog

Prevent Secret Sprawl with HCP Vault Radar

HashiCorp’s HCP Vault Radar offers a robust solution to combat secret sprawl within organizational environments. It provides automated detection and analysis of secrets, significantly enhancing the security posture of enterprises. This AWS Marketplace solution seamlessly integrates with essential AWS services such as Systems Manager Parameter Store and S3. This integration facilitates continuous scanning and remediation, ensuring that organizations maintain compliance and security integrity across their AWS environments.

The key functionality of HCP Vault Radar is its ability to automate the detection of secrets that may be inadvertently exposed across various systems. By offering continuous monitoring, it helps organizations proactively manage and mitigate risks associated with secret exposure. This not only improves security but also streamlines compliance efforts, aligning with regulatory requirements and industry best practices.

Digitalizing Batch Records in Pharmaceutical Production with Aizon

Aizon Execute is revolutionizing the pharmaceutical industry by transitioning batch records from traditional paper-based systems to digital documentation. Built on AWS, Aizon Execute offers an intelligent Batch Record (iBR) SaaS platform that enables pharmaceutical manufacturers to reduce manufacturing costs by 20-30%. The platform unlocks up to $100 billion in potential manufacturing optimization.

The implementation process of Aizon Execute is swift, taking just 90 days to digitalize batch records. This transition not only accelerates compliance processes but also enhances operational efficiency. Furthermore, it provides real-time data visibility, empowering manufacturers to make proactive, data-driven decisions. A notable success story includes Euroapi’s transformation, which highlights the platform’s capability to drive digital innovation and operational improvements.

Ingest and Enrich Security Findings with Dynatrace

In complex cloud environments, security findings can be scattered across various tools and environments, making it challenging to achieve a comprehensive view. Dynatrace, in conjunction with Amazon EventBridge, provides a solution to this challenge. By ingesting and enriching security findings, Dynatrace helps organizations unify their security insights, offering a holistic view of security threats.

This approach allows for more efficient threat detection and response, ensuring that security teams can act swiftly to mitigate risks. The integration of Dynatrace with AWS services facilitates seamless data flow and analysis, enabling organizations to enhance their security posture and streamline their security operations.

The Future of Hyper-Personalization with Braze and AWS Generative AI

Integrating Braze with AWS Generative AI is transforming digital marketing through hyper-personalization. This collaboration enhances customer engagement by delivering tailored experiences and content that adapt in real-time to individual customer preferences. Utilizing Amazon Bedrock, Braze can create highly personalized interactions, from messaging to recommendations, that resonate deeply with users.

Such a personalized approach drives immediate customer engagement, fosters long-term loyalty, and boosts revenue growth. By strategically incorporating Braze and AWS’s advanced AI capabilities, brands can refine their customer engagement strategies, creating a more personalized and profitable customer journey. This integration exemplifies the future of customer interaction, where real-time, data-driven personalization becomes the norm.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, can assist organizations in leveraging these advanced AWS solutions effectively. Whether transitioning to digital batch records with Aizon, enhancing security with HCP Vault Radar and Dynatrace, or driving customer engagement through hyper-personalization with Braze, KeyCore provides expert guidance and implementation support.

Our team of AWS-certified specialists ensures that organizations not only integrate these solutions seamlessly but also optimize their AWS environments for maximum performance and compliance. With KeyCore’s expertise, businesses can unlock new potential, enhance their security posture, and drive innovation across their operations.

Read the full blog posts from AWS

AWS HPC Blog

In the rapidly evolving field of engineering, organizations are constantly seeking ways to accelerate complex processes. A multi-agent AI approach, combined with Synera, offers a compelling solution. This strategy leverages the synergy of multiple AI agents, each tasked with specialized roles, to streamline and optimize workflows, enabling teams to work more efficiently and effectively.

Multi-Agent AI Approach

The multi-agent AI approach involves deploying several AI agents that collaborate to tackle complex engineering tasks. Each agent is designed with unique capabilities, specializing in different aspects of the process. This distributed intelligence allows for parallel processing and decision-making, significantly reducing the time required for task completion and enhancing the precision of the outcomes.

Architecture and Efficiency

The architecture supporting this multi-agent system is robust and scalable. It integrates seamlessly with existing engineering workflows, leveraging AWS services such as AWS Lambda for serverless execution, Amazon S3 for data storage, and Amazon SageMaker for building and deploying machine learning models. This integration not only expedites processes but also ensures consistency in results, facilitating a more streamlined engineering pipeline.

Business Value

For organizations, this approach translates to faster project delivery, reduced operational costs, and improved product quality. The ability to coordinate specialized expertise efficiently allows businesses to remain competitive in fast-paced markets, responding quickly to changes and demands. The principles of this approach can be applied across various domains, making it a versatile solution for any organization aiming to enhance their operational efficiency.

How KeyCore Can Help

KeyCore is at the forefront of implementing advanced AWS solutions. With deep expertise in AWS technologies, KeyCore can assist organizations in integrating multi-agent AI systems tailored to their specific needs. By leveraging KeyCore’s professional and managed services, businesses can ensure a smooth transition to enhanced engineering processes, maximizing the benefits of AWS’s powerful infrastructure and AI capabilities.

Read the full blog posts from AWS

AWS Cloud Operations Blog

Organizations often encounter unique compliance challenges when managing their AWS resources and accounts. While AWS Config offers a suite of managed rules for compliance checking, there is a growing demand for custom rules that cater to specific organizational needs. Additionally, the ability to automate remediation processes is crucial for maintaining compliance at scale across an AWS Organization. This article delves into how AWS Config custom conformance packs can be a strategic solution for these requirements.

Understanding AWS Config Conformance Packs

AWS Config Conformance Packs are templates that help deploy and manage AWS Config rules and remediation actions as a single entity. These packs can be customized to include both managed and custom rules, providing a centralized approach to compliance management. They enable organizations to apply consistent compliance and remediation policies across multiple AWS accounts and regions.

Scaling Compliance with Custom Rules

Custom AWS Config rules are vital for organizations with specific regulatory frameworks or internal policies that are not addressed by AWS’s standard rules. The ability to create and deploy these custom rules ensures that all compliance needs are met. Furthermore, these rules can be tailored to trigger automated remediation actions, enhancing operational efficiency and reducing the risk of human error.

Automated Remediation for Operational Efficiency

Automated remediation is a key feature of AWS Config that helps organizations promptly address compliance violations. By integrating remediation actions with custom rules, organizations can ensure that any detected non-compliance is quickly corrected. This automation not only improves compliance posture but also reduces the manual workload on IT teams, allowing them to focus on more strategic tasks.

How KeyCore Can Assist

KeyCore is ideally positioned to assist organizations in leveraging AWS Config custom conformance packs. With deep expertise in AWS services, KeyCore can help design, implement, and manage compliance frameworks that are tailored to specific business requirements. Whether it’s creating custom rules, setting up automated remediation actions, or providing ongoing management, KeyCore ensures that organizations can maintain compliance effectively and efficiently.

Read the full blog posts from AWS

AWS for Industries

Preview of AWS at National Retail Federation (NRF) 2025 Asia Pacific

Amazon Web Services (AWS) will join the National Retail Federation (NRF) Big Show: Asia Pacific from June 3-5, 2025, in Singapore for its second year. The theme, ‘Retail Unlimited,’ focuses on how technology can transform industries and enhance shopping experiences. AWS, along with Amazon teams and AWS Industry Partners, will explore innovative retail solutions that can redefine customer engagement at every level, leveraging cloud technology to optimize operations and drive growth in the retail sector.

Empowering ML Teams with Amazon Q Automotive Knowledge

Organizations face challenges in implementing predictive use cases due to the gap between data scientists’ tech expertise and domain knowledge. To bridge this gap, Amazon Q Automotive offers a solution that empowers machine learning (ML) teams by providing domain-specific insights. This integration facilitates the development of ML models tailored to industry-specific needs, enhancing decision-making processes and enabling the realization of predictive analytics in automotive and other sectors.

Battery Digital Twin: The Future of Battery Intelligence

As electric vehicle (EV) adoption rises, battery analytics become crucial for performance, reliability, and safety. The concept of the battery digital twin enables predictive maintenance and optimization of battery lifespan by monitoring key parameters in real-time. This real-time data analysis supports safety improvements and operational efficiency, ultimately enhancing the long-term viability of EVs and providing stakeholders with actionable insights to maintain competitive advantage.

Democratizing GenAI through a Global Enterprise Portal

Generative Artificial Intelligence (GenAI) can revolutionize industries by creating novel content like text, images, and software code. To harness its potential, companies are adopting a Global Enterprise Portal (GEP) to democratize GenAI use across all business units. This approach allows diverse teams to leverage GenAI for innovative use cases, facilitating cross-functional collaboration and driving business growth through advanced AI capabilities.

Introducing Connected Vehicle and Connected Assets Integration with Salesforce and AWS

Integrating connected vehicles and assets with Salesforce Industry Cloud solutions is now seamless with AWS services. Utilizing AWS IoT FleetWise, data from vehicles and industrial assets can be efficiently collected and distributed. This integration empowers businesses to leverage real-time data insights, enhancing operational efficiencies and customer experiences through advanced data management and connectivity solutions.

Skechers Steps up Network Transformation with AWS Cloud WAN, Network Firewall, and Direct Connect

Skechers USA is enhancing its infrastructure by redesigning its AWS Cloud network to support growth. By implementing AWS Cloud WAN, Network Firewall, and Direct Connect, Skechers strengthens its network’s reliability and scalability. These improvements ensure secure and efficient connectivity, facilitating better performance and operational efficiency, ultimately driving growth in a competitive market.

150 Models and Counting: Your Guide to Generative AI Models for Healthcare and Life Sciences

Generative AI is transforming Healthcare and Life Sciences (HCLS) by accelerating drug discovery and streamlining clinical workflows. Companies like AstraZeneca and Pfizer are leveraging AI to tackle HCLS-specific challenges, such as medical text summarization and DICOM data analysis. The growing adoption of AI models in HCLS emphasizes the need for tailored solutions to meet industry-specific needs, fostering innovation and improving healthcare outcomes.

Accelerating Real-World Evidence with AWS

Real-world data (RWD) is critical in Healthcare and Life Sciences, providing insights into therapy performance in clinical settings. AWS enables the effective analysis of RWD, transforming it into real-world evidence (RWE). This process enhances clinical insights and supports the development of innovative healthcare solutions, ultimately improving patient outcomes and advancing medical research.

Addressing Return Opportunities Across the Retail Journey

The retail industry faces challenges with high return rates, impacting profitability. With online return rates significantly higher than in-store purchases, innovative solutions are needed. AWS offers tools and strategies to help retailers optimize return processes, improve operational efficiency, and enhance customer satisfaction, ultimately reducing costs and boosting profitability in the competitive retail landscape.

Read the full blog posts from AWS

AWS Marketplace

Compliance in the software development lifecycle is crucial for organizations striving to meet regulatory requirements while leveraging cloud technologies. AWS Marketplace offers tools like Drata that help bridge this compliance gap effectively.

Streamlining Compliance with Drata

Drata is a platform designed to automate and ensure compliance for AWS customers. By integrating with AWS services, Drata accelerates the adoption of cloud technologies while maintaining rigorous compliance standards. The tool facilitates continuous compliance monitoring, which allows organizations to identify and address compliance issues at the earliest stages of the software development lifecycle. This proactive approach helps in mitigating risks and preventing costly compliance failures.

Early Identification of Compliance Issues

Drata’s integration with AWS services provides real-time visibility into compliance status, enabling developers and compliance officers to detect and rectify potential compliance violations before they escalate. This early identification is critical in avoiding delays and ensuring that the development process aligns with organizational compliance goals. By automating compliance checks and documentation, Drata reduces the manual burden on teams, allowing them to focus on innovation and efficiency.

Business Value of Automated Compliance

Implementing Drata through the AWS Marketplace offers significant business advantages. Organizations can reduce the time and resources spent on manual compliance checks, thus lowering operational costs. Automated compliance frameworks not only enhance security but also increase trust with stakeholders by demonstrating a commitment to maintaining regulatory standards. This assurance is essential for businesses handling sensitive data and operating in highly regulated industries.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, can assist organizations in leveraging Drata to optimize their compliance processes. With expertise in AWS cloud technologies and compliance management, KeyCore provides tailored solutions that integrate Drata with existing infrastructure. Our professional services include strategic planning, implementation, and ongoing support to ensure continuous compliance and operational efficiency. By partnering with KeyCore, organizations can confidently navigate the complexities of regulatory compliance while maximizing the benefits of AWS cloud services.

Read the full blog posts from AWS

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

Managing CloudHSM Migration: From hsm1.medium to hsm2m.medium

In August 2024, AWS announced the general availability of the new AWS CloudHSM instance type, hsm2m.medium (hsm2). This new instance offers advanced features compared to the earlier version, hsm1.medium (hsm1). These enhancements include support for Federal Information Processing Standard (FIPS) 140-3 Level 3 compliance and the flexibility to operate clusters in non-FIPS mode. The upgrade provides improved performance and security, crucial for organizations relying on cryptographic operations. Migrating to hsm2 ensures that businesses stay compliant with the latest security standards, while also achieving optimal performance in their cryptographic workloads.

Expanding ENS High Certification Across AWS Services in Spain

AWS has successfully renewed its Esquema Nacional de Seguridad (ENS) High certification under the updated framework of Royal Decree 311/2022. This renewal signifies AWS’s ongoing commitment to meeting the high security demands of Spanish government entities and public organizations. The ENS framework is essential in protecting state-level information systems and services, ensuring AWS’s alignment with local compliance requirements. With this certification, AWS now extends enhanced security assurances across 174 services, reinforcing trust among its Spanish clients.

Revalidating AWS’s AAA Pinakes Rating for the Spanish Financial Sector

In a significant achievement, AWS has renewed its prestigious AAA rating under the Pinakes qualification system, which now covers 174 services across 31 global AWS Regions. This rating highlights AWS’s dedication to maintaining the highest security standards within the Spanish financial sector. The Pinakes framework is vital for financial institutions to ensure robust security measures and compliance, providing them with confidence in AWS’s capabilities to safeguard sensitive financial data and systems.

Guiding Financial Services with Responsible AI Adoption

As financial service institutions increasingly integrate AI technologies to enhance innovation and customer interactions, they encounter unique governance, risk, and compliance (GRC) challenges. To support these institutions, AWS has introduced the AWS User Guide to Governance, Risk, and Compliance for Responsible AI Adoption. This guide is tailored to help financial services navigate the complex GRC landscape, addressing new considerations brought by AI technologies. It serves as a crucial resource for institutions aiming to balance innovation with compliance and risk management effectively.

Launching the AWS Zero Trust Accelerator for Government

Government agencies face evolving security challenges with the widespread use of bring-your-own-device (BYOD) policies and cloud-based solutions. Traditional perimeter-based security models are proving inadequate. In response, AWS has introduced the AWS Zero Trust Accelerator for Government, designed to enhance security by adopting zero trust principles. These principles assume no implicit trust within the network and require verification for every access request. This accelerator aids government entities in implementing robust security measures, ensuring secure access to their IT infrastructure and data, even beyond traditional network boundaries.

KeyCore Assistance

KeyCore can assist organizations with these AWS developments by offering expert guidance on migrating to the new CloudHSM instance, ensuring compliance with local security certifications like ENS and Pinakes, and supporting the implementation of responsible AI practices. Additionally, our expertise in security architecture allows us to help government agencies adopt the AWS Zero Trust Accelerator effectively. Learn more about our services and how we can drive your AWS initiatives at KeyCore.

Read the full blog posts from AWS

Front-End Web & Mobile

In today’s enterprise landscape, custom applications are pivotal for enhancing operations, boosting productivity, and centralizing knowledge within organizations. However, these applications often miss the mark when it comes to providing intelligent, conversational interfaces that allow users to swiftly access pertinent information. Traditional dashboards and search bars are often inadequate for handling complex queries or presenting relevant data intuitively.

Integrating Intelligent Interfaces

To address these challenges, the integration of Generative AI (GenAI) applications can transform how information is accessed and utilized within business applications. By leveraging AWS Amplify, AWS Cloud Development Kit (CDK), and Amazon Q Business, enterprises can build and embed GenAI capabilities into their applications. This integration enables applications to offer conversational interfaces that understand complex user queries and deliver precise information quickly and efficiently.

Building with AWS Amplify and CDK

AWS Amplify simplifies the development of front-end web and mobile applications by providing a set of tools and services that facilitate seamless integration with AWS services. Developers can use the AWS CDK to define cloud resources in programming languages, which accelerates the deployment and management of infrastructure necessary for GenAI applications.

Embedding GenAI with Amazon Q Business

Amazon Q Business enables the embedding of intelligent search and conversational capabilities into enterprise applications. By leveraging GenAI models, it enhances the user experience by providing contextual insights and accurate information retrieval. This integration empowers businesses to harness the full potential of their data, driving informed decision-making and operational efficiency.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, can assist organizations in transforming their applications with GenAI integration. Our expertise in AWS Amplify, CDK, and Amazon Q Business ensures a streamlined development process, tailored to meet specific enterprise needs. We guide organizations through the entire lifecycle, from design to deployment, ensuring that applications are equipped with advanced conversational interfaces that enhance user engagement and productivity.

Read the full blog posts from AWS

AWS Contact Center

Proven Migration Patterns for Accelerating Amazon Connect Deployments

Enterprise contact centers often face the challenge of supporting multiple lines of business (LOBs) with separate IT and operations teams. This complexity is compounded for Business Process Outsourcing (BPO) companies that manage hundreds of customers with unique requirements. To tackle these challenges, contact center migration patterns have been developed to accelerate deployments and streamline operations. This article highlights five proven patterns that create a robust framework for deploying Amazon Connect effectively.

These patterns are designed to simplify the process, reduce migration time, and ensure seamless integration with existing systems. By leveraging these migration strategies, enterprises can enhance customer support services while maintaining operational efficiency. Furthermore, these patterns help in aligning IT and operational objectives, thereby enabling better resource management and improved service delivery.

Wisconsin DOR Achieves Cost Reduction and Performance Boost with Amazon Connect

The Wisconsin Department of Revenue (DOR) administers various state functions including income and business tax laws, property tax assessments, and more. To manage these efficiently, the DOR runs a contact center where approximately 500 agents handle 700,000 calls annually, originally using disparate technologies. By implementing Amazon Connect, in collaboration with ScaleCapacity, the DOR was able to cut contact center costs by 66% while boosting overall performance.

This transformation was achieved by consolidating technologies into a single platform, thereby reducing complexity and improving agent efficiency. The new setup not only lowered operational costs but also enhanced the customer experience by providing more reliable and quicker service. This strategic move highlights the potential of Amazon Connect in transforming public sector contact centers by offering scalable and cost-effective solutions.

Priceline Enhances Customer Experience with Generative AI in Amazon Connect

Priceline, a leader in online travel, is leveraging generative AI within Amazon Connect to streamline its customer experience. Known for helping customers find top deals on travel services, Priceline is integrating advanced AI capabilities to personalize interactions and provide efficient support. This integration allows Priceline to utilize vast data sets from its extensive network of travel suppliers to optimize customer interactions.

By incorporating generative AI, Priceline enhances its ability to manage customer inquiries, providing quicker and more accurate responses. This approach not only improves customer satisfaction but also optimizes internal operations by reducing the workload on support agents. Priceline’s adoption of AI in Amazon Connect exemplifies how leveraging advanced technologies can transform customer service delivery in highly competitive industries like online travel.

How KeyCore Can Assist with AWS Contact Center Solutions

KeyCore, a leading AWS consultancy in Denmark, offers expert guidance and services to facilitate the deployment and management of Amazon Connect. Our team is well-versed in implementing proven migration patterns to ensure seamless integration and operation of contact centers. Whether it’s reducing operational costs like the Wisconsin DOR or enhancing customer experience with AI as Priceline has done, KeyCore’s professional and managed services can tailor solutions to meet the unique needs of any organization. For more information on how KeyCore can support your AWS contact center transformation, visit our website.

Read the full blog posts from AWS

Innovating in the Public Sector

Uncovering Cardiovascular Insights with AWS

Scientists at the National Institutes of Health (NIH) have made a groundbreaking discovery related to cardiovascular disease, particularly involving low-density lipoprotein (LDL) and its interaction with receptor molecules. This discovery could pave the way for personalized treatments for cardiovascular conditions. The breakthrough was made possible by leveraging AWS’s high-performance computing (HPC) infrastructure. AWS’s robust technological support enabled NIH researchers to process complex data and simulations, leading to insights that had previously been elusive for decades.

AWS at GITEX Europe 2025: Leading Digital Transformation

AWS is set to make a significant impact at GITEX Europe 2025, which will be held in Berlin. As Europe’s premier technology event, GITEX Europe attracts a multitude of technology professionals and exhibitors from around the globe. AWS’s presence at the event underscores its commitment to driving AI and digital transformation across Europe. Attendees can expect AWS to showcase its latest technological advancements and strategic initiatives, fostering collaboration and innovation on a grand scale.

Modernizing Government Systems with Booz Allen Hamilton

Legacy systems pose substantial challenges for government agencies, as highlighted in a 2023 report by the Government Accountability Office (GAO). These systems often lack scalability and incur high operational costs. Booz Allen Hamilton, in partnership with AWS, offers modern solutions through multi-tenant architectures to tackle these issues. One notable application developed for a federal agency demonstrates the transformative power of cloud technologies. This modernization effort enables more efficient operations and substantial cost savings, underscoring the importance of embracing cloud solutions for legacy system challenges.

Enhancing Government Efficiency with AWS Enterprise Support

AWS Enterprise Support plays a critical role in assisting government agencies with their digital transformation efforts. By providing tailored guidance, proactive planning, and technical expertise, AWS Enterprise Support helps agencies achieve their transformation objectives effectively. The support ensures that agencies can overcome various obstacles in their modernization journey while maximizing the potential of AWS’s technological offerings.

Transforming Military Personnel Management with AWS GovCloud

Trackable Health leverages AWS GovCloud (US) to enhance military readiness through a comprehensive health and fitness tracking solution. This system delivers real-time insights and AI-powered recommendations, offering immediate feedback to military personnel. The solution enables personalized readiness assessments, improving overall personnel management. AWS GovCloud’s secure and robust platform ensures that sensitive health data is protected, aligning with the stringent requirements of military operations.

Security Best Practices for Nonprofits

Nonprofits often face distinct security challenges due to limited resources and a focus on mission-driven initiatives. AWS outlines security best practices that help these organizations enhance their security posture. By investing in upfront security measures, nonprofits can not only improve their security but also streamline operations, reducing time spent on redundant processes. AWS’s security solutions empower nonprofits to focus on their core missions while ensuring data protection.

Scaling Health AI with Amazon Bedrock

The development of Health Kaki, a generative AI health companion, illustrates the journey from proof of concept (POC) to production using AWS’s Amazon Bedrock foundation model. This AI solution addresses real-world healthcare challenges, offering personalized health assistance and insights. The scaling of Health Kaki highlights the potential of integrating generative AI into healthcare, transforming how patients interact with health information.

Reimagining Document Discovery with AI

Organizations managing vast repositories of documents face challenges in enabling efficient information retrieval. By utilizing AI techniques powered by AWS, these organizations can revolutionize document discovery. Amazon Bedrock facilitates intuitive user interactions with knowledge bases, transforming keyword searches into meaningful conversations. This approach enhances access to information, supporting informed decision-making across various sectors.

Transforming Student Wellbeing with Amazon Bedrock

SXP.ai has partnered with AWS to revolutionize student support services at universities. Utilizing ethical generative AI driven by Amazon Bedrock, SXP.ai provides 24/7 personalized support through cognitive behavioral therapy techniques. The solution ensures trust and integrity, addressing student wellbeing needs effectively. AWS’s AI capabilities enable universities to offer innovative support systems, enhancing student experiences and outcomes.

Standardizing Genomics Data with Generative AI

The AI Genomic Schema Harmonizer, powered by generative AI, streamlines the preparation of genomic data for public repository submissions. This application revolutionizes data standardization processes, enhancing public health genomic initiatives. By leveraging AWS’s AI solutions, laboratories can automate data harmonization, improving accuracy and efficiency. This innovation represents a significant advancement in public health genomics, facilitating data sharing and collaborative research.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy, offers unparalleled expertise in implementing AWS solutions across various sectors. Whether it’s modernizing legacy systems, enhancing security for nonprofits, or deploying AI technologies, KeyCore possesses the technical acumen to drive successful transformations. Our team is equipped to provide tailored solutions that meet the unique needs of public sector organizations, ensuring they maximize the benefits of AWS’s offerings. By partnering with KeyCore, organizations can confidently navigate their AWS journey and achieve their strategic goals.

Read the full blog posts from AWS

Scroll to Top