Summary of AWS blogs for the week of monday Mon Apr 21

In the week of Mon Apr 21 2025 AWS published 67 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Introducing SWE-PolyBench: A Multilingual Benchmark for AI Coding Agents

Amazon has unveiled SWE-PolyBench, a sophisticated benchmark designed to assess the performance of AI coding agents that leverage large language models. These agents are increasingly capable of tackling complex software engineering tasks, yet evaluating their proficiency across a broad spectrum of programming languages and real-world scenarios has been challenging. SWE-PolyBench addresses this by offering a comprehensive framework for benchmarking coding effectiveness in controlled environments.

Understanding the Challenge

The rise of AI coding agents has prompted an influx of benchmark development to accurately gauge their capabilities. SWE-PolyBench emerges as a critical tool in this arena, providing a standardized approach to evaluate how well these agents can perform coding tasks in multiple languages. This is particularly important for organizations looking to deploy such technologies effectively in diverse coding environments.

Business and Technical Implications

The introduction of SWE-PolyBench holds significant implications for both businesses and developers. For businesses, it offers an opportunity to better assess the suitability of AI coding solutions for their specific needs, ensuring that investments in AI technologies lead to productive outcomes. On the technical side, developers gain a clearer understanding of the strengths and limitations of AI coding agents, allowing for more informed decisions in software development processes.

How KeyCore Can Assist

KeyCore, as Denmark’s foremost AWS consultancy, is uniquely positioned to help organizations integrate and leverage AI coding agents effectively. Our expertise in AWS and AI technologies ensures that businesses can maximize the potential of solutions like those evaluated by SWE-PolyBench. We offer tailored consulting services to align technology capabilities with specific business objectives, ensuring both operational efficiency and innovation.

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Official Machine Learning Blog of Amazon Web Services

AWS and Cisco have collaborated to develop an innovative approach for translating natural language into SQL queries, optimizing the process for enterprise use. This method addresses the challenges of complexity, accuracy, and performance in the NL2SQL process, offering a streamlined solution that delivers precise results and enhances overall system efficiency.

Enhancements in Sales Workflows with Amazon Nova Lite

The AWS Field Experience (AFX) team successfully migrated to the Amazon Nova Lite foundation model, substantially improving sales workflows. This transition resulted in lower costs, reduced latency, and enhanced performance, offering a robust and reliable solution for enterprise needs. The Nova Lite model empowers sellers with efficient tools, aligning with business objectives for cost-effective operations.

Hybrid Search with Amazon Bedrock and OpenSearch

AWS demonstrates a hybrid search solution using Amazon Bedrock and Amazon OpenSearch Service, combining keyword and semantic search capabilities. By leveraging the Amazon Titan Multimodal Embeddings G1 model, this approach allows users to query both text and images, providing relevant search results for diverse datasets, such as a retail image collection.

AI-Powered Document Processing on Amazon SageMaker

AWS outlines the construction of an AI-powered document processing platform using open-source Named Entity Recognition (NER) models and large language models (LLMs) on Amazon SageMaker. This setup enables advanced analysis and processing of documents, facilitating improved data extraction and information management.

Secure Sensitive Data with Amazon Bedrock

AWS explores securing sensitive information in Retrieval Augmented Generation (RAG) applications using Amazon Bedrock. Two approaches are highlighted: pre-ingestion redaction of sensitive data and fine-grained Role-Based Access Control (RBAC) for data retrieval. These methods provide secure handling of sensitive information in generative AI applications.

Boost LLM Performance with SageMaker LMI v15

Amazon SageMaker introduces the Large Model Inference (LMI) container v15, featuring significant performance enhancements and expanded model compatibility. This release supports multimodal data processing and integrates with vLLM for seamless deployment of large language models, optimizing performance at scale for diverse data types.

Improving Amazon Q Business Accuracy

In the continuation of a series about Amazon Q Business, AWS presents a comprehensive evaluation framework for the Retrieval Augmented Generation solution, focusing on the effective use of proprietary data. The framework guides businesses in selecting use cases, preparing data, and implementing accurate performance metrics.

Amazon Bedrock Intelligent Prompt Routing

AWS announces the availability of Amazon Bedrock Intelligent Prompt Routing, detailing its benefits for cost reduction and latency improvement in generative AI applications. The blog post provides insights from internal testing, offers guidance for implementation, and highlights best practices for maximizing efficiency.

Infosys Event AI with AWS Technologies

Infosys leverages AWS technologies, including Amazon Nova Pro, Amazon Bedrock, and Amazon Elemental Media Services, to develop Infosys Event AI. This solution enhances event knowledge accessibility through real-time transcription, intelligent summaries, and interactive chat assistants, enriching attendee engagement and insight utilization.

Amazon Bedrock Prompt Optimization

AWS introduces Prompt Optimization on Amazon Bedrock, enabling improved performance of large language models (LLMs) through optimized prompts. This feature supports various use cases, enhancing intelligent text processing capabilities, exemplified by its application in the Yuewen Group’s operations.

Location-Aware Agent Development with AWS and Foursquare

AWS demonstrates the integration of Amazon Bedrock Agents and Foursquare APIs to build location-aware agents. This setup personalizes user interactions by incorporating location context, enhancing the relevance and specificity of responses.

Automated Evaluation of Generative AI Solutions

AWS explores automating the evaluation of large language models (LLMs) in generative AI applications, utilizing AWS services for continuous performance monitoring. The solution addresses challenges such as hallucinations and biases, using tools like FMeval Library, Ragas, LLMeter, and Step Functions to provide scalability and flexibility.

How KeyCore Can Help: At KeyCore, our expertise in AWS solutions enables us to assist businesses in implementing these advanced technologies. Whether optimizing SQL generation, enhancing sales workflows, or building AI-powered platforms, KeyCore provides comprehensive support tailored to your business needs. We guide you through securing sensitive data, leveraging hybrid search solutions, and enhancing LLM performance, ensuring you harness the full potential of AWS offerings.

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Announcements, Updates, and Launches

New Availability Zone in Maryland

AWS has announced the addition of a new Availability Zone in Maryland to the US East (Northern Virginia) Region, expected by 2026. This expansion is designed to enhance redundancy and support the increasing demand for AI workloads. The new zone will offer high-bandwidth, low-latency network connections, ensuring seamless performance and reliability. This move underscores AWS’s commitment to meeting growing customer needs through strategic infrastructure advancements. Businesses utilizing AWS services in this region can expect improved resilience and efficiency as the new zone comes online.

Advanced Real-Time Applications with AWS AppSync

AWS AppSync introduces enhanced integrations for real-time applications by allowing developers to link Lambda functions, DynamoDB tables, and other AWS resources. This capability supports the creation of sophisticated applications featuring data transformation, persistent storage, and validation. These integrations empower developers to build more responsive and dynamic applications, catering to diverse business needs by leveraging AWS’s robust infrastructure. The enhanced functionalities provide a significant advantage for developers aiming to deliver seamless real-time experiences to their users.

Amazon EC2 Graviton4-Based Instances

AWS has launched new Amazon EC2 instance families, namely C8gd, M8gd, and R8gd, powered by Graviton4 processors with NVMe SSD storage. These instances promise up to 30% better performance, three times more virtual CPUs and memory, and up to 11.4TB of local storage compared to their Graviton3-based predecessors. This advancement provides businesses with significant computational power and storage capabilities, ideal for data-intensive applications. The enhanced performance and cost-efficiency of these instances can drive more effective cloud strategies for enterprises seeking to optimize their workloads.

AWS Weekly Roundup Highlights

The recent AWS Weekly Roundup highlighted the AWS Summit Amsterdam, where technical and industry leaders convened to share insights. These summits offer opportunities to learn, interact with AWS experts, and network with peers. The featured Developer and Community Lounges create a collaborative space within the exhibition halls. Such events are pivotal for staying informed about AWS advancements and trends, fostering a deeper understanding of how AWS services can be leveraged for business growth.

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Containers

Improving Java Applications Performance on Amazon EKS

Java applications often face challenges with container startup performance, particularly during scaling events and recovery scenarios. These issues are prevalent in Kubernetes environments. Despite these challenges, Java continues to be a popular language for both legacy modernization and new microservices development. To address these performance concerns, the authors Sascha Möllering and Yuriy Bezsonov suggest utilizing async-profiler to analyze performance bottlenecks.

Async-profiler is a low-overhead, Java CPU and allocation profiler that helps diagnose performance issues. By integrating it with Amazon Elastic Kubernetes Service (EKS), developers can gain insights into application performance, allowing for more informed optimizations. This leads to improved application responsiveness and resource efficiency, crucial for maintaining a competitive edge in cloud-native environments.

Amazon EKS Enhancements with Node Monitoring and Auto Repair

Amazon Elastic Kubernetes Service (Amazon EKS) introduces new node monitoring and auto repair capabilities. Authored by Alex Kestner, Ratnopam Chakrabarti, Shivam Dubey, and Suket Sharma, this feature set provides automatic detection and remediation of node failures within a cluster. This enhancement is designed to improve the overall reliability and availability of applications running on EKS.

The node monitoring feature ensures that any anomalies are detected promptly, while auto repair automates the recovery process. This reduces the manual intervention required from operations teams, streamlining maintenance tasks and allowing developers to focus on more strategic initiatives. These capabilities strengthen EKS’s value proposition as a robust, managed Kubernetes platform, facilitating smoother scaling and enhanced operational efficiency.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance for businesses seeking to optimize their containerized applications on Amazon EKS. With in-depth knowledge of Java application performance tuning and Kubernetes cluster management, KeyCore can help organizations integrate tools like async-profiler and leverage EKS’s new monitoring features. By partnering with KeyCore, businesses can enhance their cloud-native strategies, ensuring their infrastructure supports both current and future operational demands. Visit KeyCore for more information.

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Helping non-technical small and medium businesses (SMBs) migrate to the cloud

Small and medium businesses (SMBs) often face the challenge of optimizing their operations while keeping costs low. Cloud technology offers numerous opportunities for cutting expenses without sacrificing quality or efficiency. Let’s delve into some effective strategies to achieve this.

Smart Cloud Management

Efficient cloud management can significantly reduce expenses. By adopting a strategic approach to cloud usage, businesses can avoid unnecessary costs. This involves monitoring cloud services to ensure that only essential resources are in use. Organizations can benefit from auto-scaling features, which automatically adjust resources based on demand, reducing wastage. Additionally, leveraging reserved instances for predictable workloads can offer cost savings compared to on-demand pricing models.

Storage Optimization

Optimizing data storage is another effective way to cut costs. SMBs can implement data lifecycle policies to manage data retention, ensuring that only necessary data is stored in costly high-performance storage. Archiving old data to less expensive storage options, such as Amazon S3 Glacier, can further reduce expenses. Regularly reviewing and purging unnecessary data is a best practice that prevents storage bloat and minimizes costs.

AI Automation

Artificial Intelligence (AI) plays a crucial role in cost reduction. SMBs can automate routine tasks using AI, freeing up human resources for more strategic activities. AI-driven analytics provide insights into business operations, allowing for informed decision-making and the identification of further cost-saving opportunities. AI-powered customer service tools like chatbots can handle basic inquiries, reducing the need for extensive human intervention.

Business Value

By implementing these strategies, SMBs not only save on costs but also improve operational efficiency. Cloud technology empowers businesses to scale without the need for significant upfront investment in hardware. This flexibility supports growth and innovation, allowing SMBs to remain competitive in their industries.

How KeyCore Can Help

KeyCore specializes in providing tailored AWS solutions for SMBs, focusing on optimizing cloud resources and integrating AI technologies. With expertise in professional and managed services, KeyCore helps businesses implement cost-saving strategies effectively. Our team offers guidance on best practices for cloud management, storage optimization, and AI automation, ensuring that SMBs can achieve their objectives while controlling expenses. Learn more about our services at KeyCore’s website.

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Official Database Blog of Amazon Web Services

Migrating SQL Server User Databases to Amazon RDS Custom

Transitioning large datasets from SQL Server on Amazon EC2 to Amazon RDS Custom for SQL Server is a common challenge for organizations. A practical solution is to use SQL Server’s native detach and attach method in conjunction with Amazon EBS snapshots. This approach allows for efficient and cost-effective migration, avoiding the need for Amazon S3 or AWS DMS. By leveraging EBS snapshots, businesses can transfer data seamlessly, reducing downtime and operational complexities typically associated with database migrations.

Selecting the Right Throughput Strategy for DynamoDB

When using Amazon DynamoDB, deciding on the appropriate throughput mode is crucial. Users must choose between on-demand and provisioned modes. On-demand mode, the default option, is recommended for modern, serverless applications due to its simplicity and scalability, easily accommodating anything from a few requests per second to millions. However, selecting the right strategy requires evaluating various factors, such as operational needs, cost considerations, and application dynamics. Provisioned mode can be more cost-effective for predictable workloads, allowing for reserved capacity. Each mode has its strengths and optimal use cases, emphasizing the importance of tailored evaluation.

PostgreSQL Upgrades and AWS DMS Task Management

Upgrading a PostgreSQL database configured as a source or target for AWS DMS tasks necessitates careful planning. Best practices include pausing ongoing DMS tasks during upgrades to prevent data inconsistencies or interruptions. It’s crucial to consider both minor and major version upgrades in the planning process. This ensures a smooth transition and maintains data integrity, keeping the migration process efficient and reliable. Properly managing AWS DMS tasks during database upgrades is vital for minimizing risks and ensuring continued database performance.

KeyCore, as a leading AWS consultancy firm, specializes in assisting organizations with these processes. Whether it’s optimizing database migrations or fine-tuning DynamoDB throughput strategies, KeyCore’s expertise ensures that businesses maximize their AWS investments efficiently and effectively. Our proven methodologies and tools streamline transitions, enhancing operational performance and scalability.

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AWS Cloud Financial Management

Updated Carbon Methodology for the AWS Customer Carbon Footprint Tool

The AWS Customer Carbon Footprint Tool (CCFT) is essential for organizations aiming to track and measure their carbon emissions from AWS usage. Launched in 2022, the tool focuses on providing insights into Scope 1 and Scope 2 emissions, as per the Greenhouse Gas Protocol. These emissions are expressed as Metric Tons of Carbon Dioxide equivalent (MTCO2e) and span across AWS products like Amazon EC2, Amazon S3, and AWS Lambda.

Enhancements for Better Insights

The latest updates to the CCFT enhance its utility by offering easier access to emissions data. The Billing and Cost Management Data Exports service now allows users to obtain their carbon emissions data more effortlessly. Additionally, users can now view more granular carbon data at the AWS Region level. These enhancements are supported by an updated methodology that has been independently verified, ensuring accuracy and reliability for businesses striving to minimize their environmental impact.

Optimizing Cost with Amazon Bedrock

Cost optimization when using foundational models with Amazon Bedrock is crucial for businesses leveraging generative AI on AWS. In this comprehensive guide, part of a series on optimizing generative AI workloads, we delve into strategies for optimizing costs on Amazon Bedrock. This service provides access to leading foundation models, offering managed convenience for AI implementations.

Balancing Cost and Capability

Key strategies discussed include making informed decisions regarding pricing options and model selection. Other techniques involve optimizing the knowledge base, employing prompt caching, and utilizing automated reasoning. Whether organizations are new to foundation models or seeking to enhance their existing Amazon Bedrock setup, these strategies are designed to help achieve a balance between capability and cost. By implementing these optimized practices, businesses can fully leverage the benefits of managed AI models while keeping expenses in check.

How KeyCore Can Help

KeyCore stands ready to support businesses in maximizing the value of AWS services, including the Customer Carbon Footprint Tool and Amazon Bedrock. With our expertise in AWS Cloud Financial Management, we provide tailored consulting services to implement these tools effectively, ensuring clients not only optimize costs but also align with their sustainability goals. For more information about how KeyCore can assist your organization, visit us at www.keycore.dk.

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AWS for Games Blog

In competitive multiplayer games, ensuring fair and exciting matchups is essential to maintaining player engagement and satisfaction. Implementing AI-powered matchmaking can significantly enhance the player experience by accurately assessing player skills and creating balanced matches. Amazon GameLift FlexMatch offers a robust solution for this challenge, leveraging machine learning to optimize matchmaking processes.

Understanding Skill-Based Matchmaking

Skill-based matchmaking involves evaluating various metrics to assess a player’s skill level, such as hits, misses, assists, time played, and player level. These metrics are complex and multifaceted, making manual computation for matchmaking impractical. By utilizing AI, developers can automate this process, ensuring fairness and improving the overall gaming experience.

The Role of Amazon GameLift FlexMatch

Amazon GameLift FlexMatch simplifies the matchmaking process with a scalable and flexible approach. It uses machine learning models to analyze player data and make informed decisions on match placements. FlexMatch evaluates numerous variables and employs dynamic rules to adjust matchmaking criteria as needed, ensuring that players are matched accurately based on skill level and other relevant factors.

Enhancing Player Engagement

By implementing AI-powered matchmaking through Amazon GameLift FlexMatch, game developers can achieve more balanced and competitive gameplay. This leads to increased player satisfaction, as matches feel fairer and more engaging. Additionally, such an approach can help retain players by providing a consistently positive gaming experience.

How KeyCore Can Assist

KeyCore offers expertise in deploying and optimizing AWS solutions for gaming applications. Our team can assist in implementing Amazon GameLift FlexMatch to enhance your game’s matchmaking efficiency and player engagement. By leveraging our AWS knowledge, KeyCore ensures that your game benefits from cutting-edge technology, ultimately delivering a superior player experience.

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AWS Training and Certification Blog

AWS introduces a novel way to enhance learning and retention with AWS Skill Builder Trivia. This tool transforms the process of reinforcing AWS knowledge into an interactive and engaging experience. Designed for real-time participant engagement, AWS Skill Builder Trivia offers a competitive format that can be used for knowledge checks, icebreakers, and team challenges. This innovative approach helps in strengthening the understanding of critical cloud concepts, making learning both fun and educational.

Interactive Learning Experience

With AWS Skill Builder Trivia, users can participate in real-time competitions that test their knowledge of AWS services and concepts. This interactive format not only makes learning more engaging but also provides a practical application for knowledge reinforcement. By turning learning into a game, AWS encourages participants to remain motivated and invested in their educational journey.

April 2025 Updates on AWS Training and Certification

In April 2025, AWS released 14 new digital training products via AWS Skill Builder. This expansion includes 9 AWS Builder Labs, 4 Digital Classroom courses, and the introduction of AWS Skill Builder Trivia. These offerings are designed to cater to various learning preferences, providing comprehensive training solutions that span hands-on labs to interactive, game-based learning. The addition of the trivia format furthers AWS’s commitment to offering diverse and engaging educational resources.

Comprehensive Learning Solutions

The new courses and updates reflect AWS’s continuous efforts to provide comprehensive, cutting-edge training solutions. These developments not only enhance the learning experience but also ensure that AWS users remain at the forefront of cloud technology. The combination of builder labs, digital classrooms, and interactive games allows learners to choose the format that best suits their needs, promoting flexibility and accessibility in AWS training.

How KeyCore Can Assist

As a leading AWS Consultancy, KeyCore offers expertise in leveraging these new tools and training options to maximize business value. Our team can guide organizations in integrating AWS Skill Builder Trivia into their training programs to enhance team engagement and knowledge retention. Additionally, KeyCore’s professional and managed services ensure that your AWS training aligns with your business goals, providing tailored solutions to meet your specific needs. Learn more about how KeyCore can help you navigate the latest AWS training offerings at our website.

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Microsoft Workloads on AWS

Migrating Windows Server to Amazon EC2 requires a strategic approach to align with both business and technical requirements. This introduction to mastering the migration process outlines key considerations essential for a successful transition.

Planning and Decision-Making

Effective migration begins with comprehensive planning. Businesses must assess their current Windows Server environment and define clear objectives for the migration. This involves understanding the complexities of their existing infrastructure and identifying the benefits of moving to Amazon EC2. AWS offers a range of tools and services designed to facilitate this process and ensure compatibility with current workloads.

Key Considerations

Key considerations include selecting the appropriate EC2 instance types, ensuring network configurations are optimized, and planning for security and compliance requirements. Organizations must also consider licensing implications and cost management strategies. AWS provides flexible licensing arrangements and cost management tools to support these needs.

Practical Insights and Solutions

The transition to Amazon EC2 is supported by AWS’s robust ecosystem of services including AWS Migration Hub, AWS Server Migration Service, and AWS Application Migration Service. These services offer practical solutions for automating and simplifying the migration process, reducing downtime, and ensuring a seamless transition.

Technical and Business Alignment

Aligning technical and business strategies is crucial. Organizations should involve both IT and business stakeholders to ensure that the migration supports overall business goals and delivers expected value. This alignment will foster a smooth transition and enable ongoing optimization of workloads in the cloud.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance and support throughout the Windows Server migration process. Our team provides tailored strategies and employs best practices to ensure a successful migration to Amazon EC2. From initial planning to execution and optimization, KeyCore ensures your migration is aligned with your strategic business objectives.

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Official Big Data Blog of Amazon Web Services

Amazon SageMaker Lakehouse has enhanced its data governance capabilities by introducing support for attribute-based access control (ABAC) in collaboration with AWS Lake Formation. This integration leverages AWS Identity and Access Management (IAM) principals and session tags to streamline the process of data access, grant creation, and ongoing maintenance. Below, we delve into the key aspects of this update and how it simplifies data handling in AWS environments.

Streamlined Access with ABAC

ABAC in SageMaker Lakehouse allows for more granular and flexible data access management. By using attributes such as user roles or project identifiers, organizations can dynamically define permissions. This reduces the need for creating and managing multiple IAM roles, thus optimizing both time and resource allocation. The integration with AWS Lake Formation ensures seamless collaboration between the data lake and machine learning workflows, fostering a unified data strategy.

Getting Started with ABAC

To begin using ABAC in SageMaker Lakehouse, users need to configure IAM principals and session tags that align with their organizational data policies. AWS provides a comprehensive guide and examples to facilitate the initial setup. This move towards attribute-driven access marks a significant step in enhancing data security while maintaining operational efficiency.

The new visual interface for Amazon OpenSearch Ingestion streamlines the process of data pipeline creation and management. With this tool, users can construct pipelines in the AWS Management Console without manually writing complex configurations, thereby accelerating data ingestion projects.

Visual Interface Benefits

The intuitive design of the new interface allows users to quickly set up and modify data pipelines. This is particularly beneficial for teams looking to reduce the time between data acquisition and insight generation. The visual tool reduces errors associated with manual configuration and offers a more user-friendly experience, fostering innovation and agility in data operations.

Users can leverage this interface to rapidly iterate on pipeline designs, adapting to evolving data needs with minimal downtime. AWS outlines step-by-step instructions in their documentation to help users transition to this new method seamlessly.

In a separate update, AWS Lake Formation now supports hybrid access modes, allowing users to read and write to Apache Iceberg tables efficiently. This capability uses Lake Formation for read access while retaining IAM policy-based permissions for write operations.

Enhanced Data Handling for Iceberg Tables

This hybrid model combines the robustness of Lake Formation’s data access controls with the flexibility of IAM policies. Users can perform complex write operations, such as schema updates and data upserts, without compromising on security. The integration ensures that data is consistently managed and securely accessible across different user groups and applications.

Implementation and Use Cases

To implement this hybrid access mode, organizations can follow AWS’s detailed guidelines, which include setting up permissions and configuring necessary policies. This approach is particularly advantageous for organizations handling diverse data workloads, providing a scalable and secure method to manage Apache Iceberg tables.

KeyCore, as a leading AWS consultancy, offers expert guidance on leveraging these AWS advancements to optimize data strategies. From implementing ABAC in SageMaker Lakehouse to utilizing OpenSearch Ingestion’s visual interface and hybrid access for Apache Iceberg, KeyCore’s team can ensure seamless integration and enhanced data capabilities for their clients.

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Networking & Content Delivery

In the multi-cloud era, organizations frequently encounter challenges with network configuration and resource management. Traditional tools often demand specialized, tool-specific expertise, resulting in prolonged deployment times and a higher likelihood of configuration errors. The AWS Cloud Control API offers a solution to these prevalent cloud management issues by providing a unified, language-agnostic interface for managing resources.

Unified Resource Management

The AWS Cloud Control API simplifies network deployments by consolidating cloud management into a single, cohesive interface. This unification allows developers and IT professionals to manage their infrastructure more effectively, reducing the need for expertise in multiple tools and interfaces. By leveraging this API, organizations can streamline their operations and decrease the complexity typically associated with cloud management.

Benefits and Business Value

Utilizing the AWS Cloud Control API can significantly enhance business operations. It leads to faster deployment times, minimizes configuration errors, and reduces the dependency on deeply specialized knowledge. This efficiency translates into cost savings and increased agility, allowing organizations to respond more swiftly to market demands and technological changes.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in leveraging the AWS Cloud Control API to its full potential. Through our professional and managed services, we assist organizations in integrating this powerful tool into their cloud strategy. Our team ensures that deployments are optimized for efficiency and reliability, enabling businesses to focus on their core operations. By partnering with KeyCore, organizations can navigate the complexities of cloud management with confidence and precision.

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AWS Compute Blog

Distributed tracing is crucial for monitoring serverless applications, and AWS has made significant updates to how AWS Lambda handles trace context with AWS X-Ray. This improvement specifically targets the PassThrough mode, offering developers better control and predictability in how their serverless applications manage tracing.

Understanding Distributed Tracing with AWS X-Ray

AWS X-Ray helps developers understand the behavior and performance of applications, especially in serverless environments. By enabling distributed tracing, developers can monitor requests as they travel through the application components, providing insights into potential bottlenecks and errors.

Enhanced Trace Context Handling

The new update refines the way trace context is managed in PassThrough mode for AWS Lambda functions. This mode is particularly beneficial for applications where it is essential to maintain a balance between tracing detail and the performance overhead associated with tracing. Developers can now achieve a more streamlined tracing experience, enhancing both the development of new applications and the operation of existing ones.

Practical Implications for Developers

This update allows for more efficient and predictable trace sampling, which is an essential aspect of managing performance in serverless applications. By adopting these changes, developers can reduce the complexity associated with tracing configurations and focus more on application performance and functionality. Practical examples provided in the AWS Compute Blog highlight how these improvements can be implemented, offering a clear pathway to enhanced application monitoring.

How KeyCore Can Assist

At KeyCore, we specialize in helping clients leverage AWS technologies to their fullest potential. With our deep expertise in AWS Lambda and AWS X-Ray, we can assist in implementing these trace handling improvements, tailoring the setup to meet your specific application needs. Whether you are developing new serverless applications or optimizing existing ones, our professional and managed services ensure that you achieve the best performance and monitoring outcomes. Visit KeyCore to learn more about how we can support your AWS journey.

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AWS for M&E Blog

Adaptive Video Streaming with Amazon IVS Multitrack Video

In the digital age, audiences expect high-quality video streaming, no matter their device or network conditions. Adaptive Bitrate (ABR) streaming is a technology that addresses this expectation by adjusting video quality in real-time. This adjustment is achieved through transcoding, which converts a source video into multiple quality levels for optimal playback. Amazon IVS Multitrack Video takes this a step further by offering a more efficient transcoding process. Instead of relying solely on centralized servers, which can be costly and resource-intensive, Amazon IVS allows for more flexible and cost-effective video quality management. This approach not only enhances user experience but also reduces operational expenses for content providers.

AWS Well-Architected Video Streaming Advertising Lens

The AWS Well-Architected Video Streaming Advertising (VSA) Lens is a new addition to the AWS Well-Architected Tool. This lens provides a comprehensive framework for optimizing video streaming advertising workflows. It includes a detailed whitepaper and a customizable lens available in the Lens Catalog. The VSA Lens helps media and entertainment companies design and operate advertising solutions that are both cost-effective and scalable. By using the principles outlined in the VSA Lens, companies can ensure their video streaming services are robust, efficient, and deliver high-quality advertising experiences to their audiences.

Enhancing Live Stream Resiliency with Amazon IVS

Whatnot, a leading live shopping platform, leverages Amazon IVS to enhance the resiliency of its real-time live streams. This platform has seen significant success, surpassing $3 billion in gross merchandise volume in 2024, with expectations to exceed this in 2025. Central to Whatnot’s success is its ability to maintain seamless live streams that foster community engagement and facilitate global connections. By utilizing Amazon IVS, Whatnot can provide a reliable streaming experience that supports its dynamic marketplace and enhances user interaction.

Innovations at NAB Show 2025

The NAB Show 2025 in Las Vegas showcased the latest advancements in media and entertainment technology, drawing over 55,000 professionals from 160 countries. AWS played a prominent role by unveiling new innovations and industry announcements that captivated attendees. Central themes included generative AI and live cloud sports production capabilities, highlighting AWS’s commitment to driving technological convergence through data and scalability. The event underscored AWS’s leadership in media and entertainment, showcasing its ability to create impactful and engaging experiences across the industry.

How KeyCore Can Assist

KeyCore offers expert consultancy services for businesses looking to leverage AWS solutions like Amazon IVS and the Well-Architected Framework. With our deep understanding of AWS technologies, KeyCore can help optimize video streaming infrastructures to enhance quality and reduce costs. Whether it’s implementing ABR streaming solutions, utilizing the VSA Lens for advertising, or ensuring real-time stream resiliency, KeyCore provides tailored support to meet specific business needs. Visit our website to learn more about how we can assist in transforming your media and entertainment capabilities.

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AWS Storage Blog

Modernizing File Transfers with AWS Transfer Family and ETL Automation

FICO, renowned for its expertise in credit scoring and analytics, supports global businesses in enhancing financial inclusion and strengthening supply chains. By implementing AWS Transfer Family and ETL (Extract, Transform, Load) automation, FICO is revolutionizing how they handle file transfers. This modernization facilitates the secure and efficient movement of sensitive data, which is fundamental to their operations across over 80 countries.

ETL automation streamlines the processing of massive data volumes by systematically extracting, transforming, and loading it, ensuring that FICO can uphold its legacy of protecting four billion payment cards from fraud. The adoption of AWS Transfer Family enables FICO to automate and orchestrate file transfer processes, leading to enhanced operational efficiency and security.

For businesses like FICO, this level of automation and security integration is essential not just for compliance, but also for maintaining operational excellence on a global scale. The AWS Transfer Family supports various protocols, such as SFTP, FTPS, and FTP, making it versatile enough to meet diverse business needs.

Resource-Level Permissions for Amazon EBS Snapshots

Amazon Elastic Block Store (EBS) snapshots provide businesses with a robust solution for capturing point-in-time copies of data volumes. This capability is vital for creating new volumes and ensuring data protection across different AWS Regions.

Recently, enhancements in resource-level permissions for copying EBS snapshots have further strengthened security and compliance measures. These improvements allow businesses to enforce granular access controls, ensuring that only authorized users can initiate snapshot copies.

This enhanced security feature is crucial for meeting regulatory compliance and disaster recovery requirements. By allowing businesses to control who can access specific snapshots, AWS ensures that sensitive data remains protected and that organizations can maintain trust with their stakeholders.

Through these advancements, businesses can confidently utilize EBS snapshots for their critical applications, knowing that AWS’s robust security framework is safeguarding their data.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers advanced solutions for businesses looking to modernize their data transfer and storage capabilities. Our team of experts can help implement AWS Transfer Family and ETL automation, tailoring solutions to meet specific business needs and enhance security. Additionally, we provide guidance on optimizing Amazon EBS snapshot usage, ensuring that resource-level permissions are effectively managed for compliance and data protection.

KeyCore’s professional and managed services ensure seamless integration, allowing businesses to focus on their core operations while we handle the complexities of AWS infrastructure. Whether enhancing file transfer processes or securing data with advanced snapshot permissions, KeyCore is equipped to deliver cutting-edge solutions.

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AWS Architecture Blog

Modern cloud architectures require a shift in governance strategies to ensure efficiency and innovation. With the rapid pace of technological advancements, organizations must adapt their oversight methods to empower teams, allowing them to leverage the full potential of cloud services.

Collaborative Architecture Oversight

Empowering teams involves adopting a collaborative approach to architecture oversight. By engaging various stakeholders and fostering open communication, organizations can ensure that architectural decisions are well-informed and aligned with business goals. This collaborative model not only enhances team performance but also promotes a culture of shared responsibility and innovation.

Automation in Governance

Automation plays a pivotal role in modern architecture governance. By automating routine tasks and compliance checks, teams can focus on innovation rather than being bogged down by manual processes. Automation tools can help enforce policies and standards consistently across the organization, reducing the risk of errors and enhancing security.

Self-Service Platforms

Providing teams with self-service platforms facilitates agility and autonomy. By enabling teams to access resources and perform tasks independently, organizations can accelerate development cycles and improve time-to-market. Self-service platforms also empower teams to experiment and innovate without constantly seeking approval from centralized governance bodies.

Distributed Decision-Making

Distributed decision-making is a cornerstone of modern governance. By decentralizing authority, organizations can respond more swiftly to changing market conditions and emerging technologies. This approach encourages teams to take ownership of their projects, fostering a sense of accountability and initiative.

Ultimately, adopting a modern architecture governance approach can transform team dynamics and drive business success. By leveraging collaborative oversight, automation, self-service platforms, and distributed decision-making, organizations can create an environment that supports innovation and adaptability.

KeyCore can assist organizations in implementing these modern governance strategies effectively. With extensive expertise in AWS architecture, KeyCore can guide businesses in setting up automated governance frameworks, designing self-service platforms, and establishing distributed governance models to enhance team performance and achieve strategic objectives.

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AWS Partner Network (APN) Blog

Securing Generative AI with Protect AI and Amazon Bedrock

As enterprises adopt generative AI models, security risks, such as prompt injection attacks and data extraction vulnerabilities, increase. Protect AI’s Guardian and Recon tools offer a robust solution by integrating with Amazon Bedrock to safeguard DeepSeek model deployments. This combination provides a secure environment, ensuring the integrity and confidentiality of AI models. By leveraging these tools, organizations can protect against potential threats, maintain data privacy, and uphold compliance standards.

Enhancing Cloud Governance with ServiceNow and AWS

ServiceNow’s Cloud Account Management (CAM) offers comprehensive visibility across AWS environments, addressing common cloud management challenges. CAM automates workflows, reducing manual oversight, and enhances operational efficiency. It supports critical functions like account suspension, reactivation, and certification, ensuring compliance with security and governance standards. By streamlining these processes, CAM allows IT Operations teams to maintain a controlled, cost-efficient, and compliant cloud environment, ultimately strengthening security and governance.

Infor’s Industry-Specific Solutions Powered by AWS Generative AI

Infor leverages AWS generative AI services to enhance productivity and tackle industry-specific challenges. This integration empowers Infor’s customers with innovative tools tailored to their unique requirements, accelerating productivity and fostering a competitive edge. By adopting AWS generative AI, Infor demonstrates a commitment to driving industry-specific innovation and operational excellence.

Balancing Scalability and Compliance with REGDATA’s Protection Suite

REGDATA’s Protection Suite (RPS) resolves the challenge of achieving global scalability while ensuring data security and regulatory compliance. In partnership with AWS, REGDATA integrates RPS with Temenos banking platforms to facilitate a unified global IT infrastructure. This strategic approach enables financial institutions to modernize operations while adhering to regulatory standards, offering a balanced solution that prioritizes both innovation and compliance.

AI-Driven DevOps with Inflectra and Amazon Bedrock

The integration of AI in DevOps is revolutionizing how organizations manage quality and compliance. Inflectra’s SpiraTeam, in conjunction with Amazon Bedrock, enables teams to modernize their processes while adhering to stringent safety standards. This AI-driven approach enhances productivity and efficiency, particularly vital in regulated industries such as healthcare and finance. Organizations can now streamline operations without compromising on quality or compliance.

Optimizing Supply Chain Risk Management with SecurityScorecard and AWS

SecurityScorecard’s MAX offers comprehensive supply chain visibility, empowering organizations to proactively manage vendor ecosystems. Through AWS Marketplace, MAX facilitates streamlined vendor collaboration, reducing issue resolution time by up to 90%. This proactive approach transforms supply chain security into a strategic advantage, enhancing innovation and growth through effective vendor management.

Building a Composable CDP with Snowplow and Databricks

The integration of Snowplow’s data collection capabilities with the Databricks Lakehouse platform provides a scalable foundation for a composable CDP on AWS. This architecture allows organizations to effectively manage and activate customer data, maintaining full ownership and control. By embracing this solution, enterprises can meet evolving customer expectations and manage growing data volumes with ease.

Innovating with Data Privacy through DataMasque on AWS

DataMasque offers advanced data masking solutions, enabling organizations to protect sensitive information while driving innovation. By replacing real data with synthetic alternatives, businesses can develop and test with confidence, ensuring compliance with data privacy regulations. Available on AWS Marketplace, DataMasque’s integration with AWS services facilitates rapid innovation without compromising data security.

How KeyCore Can Assist

At KeyCore, Denmark’s leading AWS consultancy, our team of experts is equipped to help organizations navigate these advanced AWS solutions. Whether enhancing cloud governance, securing AI models, or optimizing supply chain management, KeyCore provides tailored strategies and technical expertise. By partnering with KeyCore, businesses can achieve their objectives efficiently and securely, leveraging AWS’s extensive capabilities to drive innovation and growth.

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AWS HPC Blog

Ansys Gateway, powered by AWS, has introduced a seamless integration with AWS ParallelCluster to enhance the performance of High-Performance Computing (HPC) workflows. This integration allows users to deploy on-demand HPC clusters dedicated to running Ansys simulations efficiently on AWS infrastructure. By leveraging this solution, engineers can manage large-scale simulations with ease while maintaining optimized cloud costs through dynamic resource allocation.

Architecture and Workflow

The architecture behind Ansys Gateway’s integration with AWS ParallelCluster is designed to streamline the deployment and management of HPC clusters. Users are able to harness the power of AWS’s scalable infrastructure, which automatically adjusts computational resources to meet varying workload demands. The system is built to ensure that resources are allocated according to the specific requirements of each simulation, enhancing both performance and cost efficiency.

Amazon EC2 Recommendations

To maximize the benefits of this integration, specific Amazon EC2 instance types are recommended for running Ansys applications. The selection of instances is based on the computational needs of the simulations, ensuring optimal performance. These instance recommendations help in achieving a balance between cost efficiency and computational power, allowing users to fully exploit the cloud capabilities without unnecessary expenditure.

Business Value and Efficiency

The integration of Ansys Gateway with AWS ParallelCluster provides significant business value by enabling engineers to conduct high-fidelity simulations more efficiently. The dynamic scaling of resources not only optimizes runtime but also contributes to cost savings, making it a financially viable solution for enterprises looking to enhance their simulation capabilities in the cloud. By utilizing AWS’s robust infrastructure, businesses can achieve faster simulation results, facilitating quicker decision-making processes and innovation.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, offers expertise in deploying and managing HPC solutions like Ansys Gateway powered by AWS. Our team can assist in setting up and optimizing AWS ParallelCluster integrations, ensuring that enterprises leverage the full potential of AWS cloud services for their simulation needs. Whether it’s selecting the appropriate EC2 instances or configuring the architecture for maximum efficiency, KeyCore provides customized solutions tailored to specific business requirements, enabling organizations to achieve their HPC goals effectively.

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AWS Cloud Operations Blog

Amazon CloudWatch Application Signals is now extending its robust monitoring and diagnostic capabilities to AWS Lambda, offering a comprehensive solution for application performance monitoring without the need for additional code. This integration empowers Lambda users by providing streamlined access to crucial performance metrics, including invocation duration, error rates, cold starts, and throttling events.

Comprehensive Monitoring

With Amazon CloudWatch Application Signals, users gain the ability to effortlessly bring together telemetry data from across Lambda functions. This data integration allows for the collection and analysis of metrics, traces, and logs, providing a holistic view of application performance. This enhanced visibility supports better application management and optimization, ensuring that users can proactively address performance issues.

Key Benefits and Features

Users of AWS Lambda can leverage CloudWatch Application Signals to simplify their monitoring processes significantly. The key features include no-code integration, which minimizes the need for developers to write additional code for monitoring purposes. It also offers detailed insights into various performance aspects of Lambda functions, such as tracking invocation durations and identifying error rates effectively.

Business Value

The integration of Amazon CloudWatch Application Signals with AWS Lambda presents a strategic advantage for businesses looking to enhance their application performance management. By having instant access to critical performance data, organizations can reduce downtime, optimize resource allocation, and ensure a smoother user experience. This leads to improved operational efficiency and customer satisfaction.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, can assist organizations in implementing Amazon CloudWatch Application Signals with AWS Lambda. Our team of experts can provide guidance on best practices for monitoring and diagnostics, helping businesses optimize their Lambda functions effectively. Whether through professional services or managed services, KeyCore ensures seamless integration and performance enhancement of your AWS environments.

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AWS for Industries

AI-Powered Early Detection of Brain Injury in Children

Each year, hundreds of thousands of children in the United States require critical care, with brain injuries posing significant risks that could lead to long-term complications. The University of Pittsburgh Medical Center (UPMC) Children’s Hospital of Pittsburgh has collaborated with Amazon Web Services (AWS) to develop a groundbreaking AI-based solution for the early detection of brain injuries in critically ill children. This initiative leverages AWS’s robust cloud infrastructure and machine learning capabilities to analyze complex medical data efficiently.

By integrating AI into the medical diagnostic process, healthcare professionals can detect subtle signs of brain injury more rapidly and accurately than traditional methods. This allows for timely intervention, which is crucial in preventing further damage and improving patient outcomes. The AWS platform enables scalable processing and data analysis, which are essential in handling the vast amounts of medical data generated in critical care settings.

As AI continues to be integrated into healthcare solutions, the potential for improving patient care and reducing long-term health issues in children becomes increasingly significant. By leveraging AWS technologies, UPMC is at the forefront of this evolution.

Utilizing Amazon Bedrock for Mining Data Analysis

The mining industry faces challenges in meeting the increasing demand for critical minerals, often taking over 15 years from discovery to operation. To address this, the industry is turning to previously mined areas, re-evaluating their viability through advanced data analysis. Amazon Bedrock plays a pivotal role in this process by providing a robust platform for analyzing historical mining data.

Amazon Bedrock offers scalable infrastructure and advanced analytics tools that enable mining companies to process and interpret large datasets efficiently. This facilitates informed decision-making regarding the potential re-exploration and development of old mining sites. By leveraging these insights, mining companies can optimize resource extraction and reduce lead times for new projects.

Through AWS’s cutting-edge technology, the mining industry can innovate and adapt to current market demands, ensuring more efficient and sustainable operations.

Revolutionizing In-Vehicle Experiences with AWS Generative AI

The transformation of vehicle experiences is being driven by the integration of generative artificial intelligence (GenAI), which allows for more natural, intelligent interactions. Modern vehicles are evolving into complex environments where users expect personalized experiences that encompass navigation, entertainment, gaming, safety, and comfort.

By leveraging AWS’s GenAI solutions, automotive manufacturers can create in-vehicle systems that adapt to user preferences and anticipate needs, thereby enhancing the overall driving experience. This includes the use of AI-driven digital assistants, real-time data processing, and seamless integration of various technologies to provide a cohesive and immersive user experience.

As automotive industries embrace these advancements, AWS continues to support them with scalable, secure, and innovative solutions. This positions manufacturers to meet evolving customer expectations and stay competitive in a rapidly changing market.

How KeyCore Can Help

KeyCore is well-equipped to assist organizations across various industries in harnessing the power of AWS technologies. Whether developing AI solutions for healthcare, analyzing mining data, or transforming vehicle experiences, KeyCore provides expert guidance and tailored services to optimize AWS deployments. By partnering with KeyCore, businesses can leverage AWS’s full potential to drive innovation and improve operational efficiency. Visit KeyCore for more information on how we can support your AWS initiatives.

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

Importing AWS Organizations SCPs and RCPs to CloudFormation

Many organizations initially create and apply Service Control Policies (SCPs) and Resource Control Policies (RCPs) manually using the AWS Management Console or AWS Command Line Interface (CLI). While this approach is feasible at the start, it becomes inefficient and cumbersome as the organization expands and the number of policies grows. Automating the management of these policies through AWS CloudFormation can significantly streamline operations and ensure consistency across environments.

By importing existing SCPs and RCPs into CloudFormation, organizations benefit from infrastructure as code, allowing for version control, automated deployments, and traceable changes. This transition not only enhances operational efficiency but also strengthens governance and compliance across AWS environments. Organizations can use YAML templates in CloudFormation to define policies, enabling them to automate deployments and manage changes effectively.

Empowering Global Security Culture at Wicked6 Cyber Games

The Wicked6 Cyber Games 2025 showcased the power of collaboration and innovation in cybersecurity by bringing together hundreds of women from around the globe. This virtual event, sponsored by AWS, provided an immersive experience through e-sports activities, focusing on real-world cybersecurity challenges. Over the course of 72 hours, participants engaged in 11 different cybersecurity games, including an attack and defense tournament that was streamed live.

This event not only emphasized the growing need for skilled cybersecurity professionals but also highlighted AWS’s commitment to supporting diversity and inclusion in the field. By empowering women and fostering a global cybersecurity culture, AWS aims to address the industry’s talent gap and encourage more women to pursue careers in this crucial sector.

How KeyCore Can Help

At KeyCore, we specialize in leveraging AWS services to enhance security and operational efficiency for businesses. Our experts can assist in importing and managing your AWS Organizations SCPs and RCPs through CloudFormation. We provide comprehensive solutions that ensure your cloud infrastructure is secure, compliant, and scalable. Additionally, we are committed to fostering a diverse and inclusive cybersecurity workforce, aligning with initiatives like the Wicked6 Cyber Games. For more information on how we can support your AWS security needs, visit our website at KeyCore.dk.

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Innovating in the Public Sector

Accelerating Skills with Gamification

Generative AI, machine learning (ML), and cloud technologies are transforming today’s workforce landscape. Mastery of these technologies is becoming crucial for success. AWS has innovated gamified solutions to make skill acquisition more engaging and effective. Through these interactive experiences, users can develop proficiency in critical areas, making the learning process enjoyable and impactful. These gamified approaches not only enhance learning but also prepare the workforce for future challenges.

KMITL’s Virtual Assistant Innovation

King Mongkut’s Institute of Technology Ladkrabang (KMITL) has revolutionized prospective student guidance through a strategic collaboration with AWS and DailiTech Co. By developing “Knowva,” a generative AI application powered by Amazon Bedrock, KMITL offers a virtual assistant that enhances student interaction. This innovative tool streamlines the student application process, showcasing how AI can transform educational engagement.

Resilience in Defense with AWS

The US Department of Defense is increasingly integrating commercial technologies to achieve mission success. AWS demonstrated its commitment to defense innovation through participation in the Technology Readiness Experimentation (T-REX) series, in collaboration with General Dynamics Information Technology. This initiative highlights the crucial role of industry collaboration in advancing military capabilities while ensuring resilience and security from edge to cloud.

Leveraging Open Data in Amazon Bedrock

Government agencies, such as NOAA, contribute to the AWS Open Data Sponsorship Program, providing valuable datasets. This post explores using NOAA datasets from the AWS Open Data Registry in Amazon Bedrock Knowledge Bases. By leveraging these rich data sources, organizations can enhance their analytical capabilities and drive more informed decision-making processes.

Cloud Adoption at Saint Louis University

Saint Louis University successfully transitioned from supporting a single researcher to a comprehensive, cloud-powered research ecosystem. This transformation did not occur overnight but was driven by seven key strategies. These lessons provide insights into effective cloud adoption across academic institutions, showcasing the potential for significant research advancements.

University of Pittsburgh’s Cloud Innovation Center

The University of Pittsburgh, in partnership with AWS, launched the Health Sciences and Sports Analytics Cloud Innovation Center (CIC). This initiative promises to elevate both health sciences research and athletics. The CIC, powered by AWS, exemplifies how strategic partnerships can foster groundbreaking advancements in research and sports analytics.

Digital Agility for Bedfordshire Police

Bedfordshire Police, in collaboration with AWS, embraced cloud-based solutions to enhance policing services. This approach has streamlined operations, allowing officers to better serve communities and victims. The cloud-based model is easily replicable, offering other law enforcement agencies a blueprint for modernizing their services.

Building a Generative AI-based RAG Solution

AWS provides a comprehensive guide to building a Retrieval Augmented Generation (RAG) solution. This step-by-step guide includes open-source instructions and best practices for harnessing enterprise-grade proposal automation technologies. By maintaining security, compliance, and content quality, organizations can effectively implement RAG solutions.

Evaluating Amazon Bedrock Workloads

Organizations often rely on emotional responses to evaluate generative AI–based workloads, rather than stringent testing criteria. AWS provides methodologies to move beyond “vibe testing” and properly assess Amazon Bedrock workloads for production use. This ensures robust and reliable AI deployment in real-world scenarios.

AI Trends in EdTech

Six key AI trends are reshaping the educational technology landscape. AWS’s collaboration with EdTechs worldwide provides unique insights into these trends, which are transforming education. From personalized learning to advanced data analytics, AI is enhancing the educational experience and driving innovation in learning methodologies.

AWS Imagine Conference for Education and Government

The AWS Imagine Conference for education, state, and local government is set to take place on July 29-30 in Chicago. This event offers decision-makers an opportunity to explore practical cloud and AI strategies. By attending, participants will gain valuable insights and connections to help turn ideas into impactful initiatives across various sectors.

How KeyCore Can Assist

KeyCore is uniquely positioned to assist organizations in leveraging AWS’s advanced technologies across sectors. Our expertise in cloud migration, AI integration, and custom solution development can help your organization achieve its digital transformation goals. Whether you’re looking to enhance skill development, transform educational engagement, or modernize public services, KeyCore’s tailored solutions will drive innovation and efficiency in your operations. Visit our website to learn more about our offerings and how we can support your journey.

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