Summary of AWS blogs for the week of monday Mon Dec 16

In the week of Mon Dec 16 2024 AWS published 107 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

To enhance the management and performance of Amazon WorkSpaces, two significant updates have been introduced: improved data visualization using Amazon QuickSight and enhanced connectivity through AWS Global Accelerator. These updates aim to provide users with granular insights and optimized performance, ensuring effective utilization and a superior user experience.

Visualizing WorkSpaces Utilization with Amazon QuickSight

Understanding the usage patterns of Amazon WorkSpaces is essential for cost optimization and resource management. By leveraging Amazon QuickSight, users can visualize detailed insights into WorkSpaces Personal utilization. Key metrics, such as monthly billable hours, running modes, and bundle types across different AWS Regions, are captured and visually represented. This allows organizations to easily identify underutilized instances that could potentially be terminated, thereby reducing unnecessary costs. Such visual insights not only aid in financial management but also help in strategic planning for resource allocation and deployment. For more on QuickSight’s capabilities, the AWS QuickSight documentation provides comprehensive guidance.

Enhanced Connectivity with AWS Global Accelerator

Enhancing user connectivity to Amazon WorkSpaces is crucial, especially when users are distributed across various geographical locations or are accessing the service over unreliable networks. The integration of Amazon WorkSpaces Personal with AWS Global Accelerator (AGA) addresses these challenges. This integration optimizes streaming traffic by routing it through the AWS Global Network and edge locations, which improves connection performance and minimizes latency. The result is a smoother and more reliable user experience, crucial for productivity and user satisfaction. Organizations can leverage this feature to ensure consistent performance across global teams, enhancing operational efficiency. Detailed information about setting up Global Accelerator can be found in the AWS Global Accelerator documentation.

How KeyCore Can Assist

KeyCore, as a leading AWS Consultancy in Denmark, offers expert guidance and implementation support for organizations looking to optimize their Amazon WorkSpaces deployment. Our services include customized visualization solutions using Amazon QuickSight and strategic integration of AWS Global Accelerator for enhanced connectivity. Whether you need professional advice or end-to-end managed services, KeyCore provides tailored solutions to maximize your AWS investments. To explore how KeyCore can facilitate your AWS journey, visit our website at KeyCore.dk.

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Official Machine Learning Blog of Amazon Web Services

Integrate Amazon Q Business Assistant for Enhanced User Experiences

Amazon Q embedded is a powerful feature that allows businesses to incorporate a hosted Amazon Q Business assistant into their websites or applications. This integration creates personalized experiences that enhance user productivity. The process is straightforward and can be implemented using basic HTML or React. By embedding the Amazon Q assistant, organizations can offer immediate assistance and streamline user interactions, thus improving overall satisfaction and engagement.

Preparing Datasets for LLM Training

Creating a well-curated dataset is essential for effectively training large language models (LLMs). Whether aiming to fine-tune a pre-trained model or continue pre-training for domain-specific applications, data preparation is key. This involves organizing and cleaning data to align with the model’s objectives, ensuring that the dataset is comprehensive and representative of the tasks at hand. Proper dataset preparation results in enhanced model performance and accuracy, making it a crucial step in the LLM training process.

Designing Multi-Agent Orchestration with Amazon Bedrock

Amazon Bedrock, combined with open-source frameworks, enables the creation of collaborative multi-agent frameworks with reasoning capabilities. By using agents and knowledge bases, businesses can decouple their applications from foundation models (FMs). This approach allows various agents to collaborate and reason, dynamically executing tasks. The integration of Bedrock agents with frameworks like LangGraph and CrewAI further facilitates efficient task dispatching and reasoning, streamlining operations and enhancing business processes.

Fastweb’s Journey in Building an Italian LLM

Fastweb, a leading telecommunications operator in Italy, has utilized Amazon SageMaker HyperPod to fine-tune the Mistral model as a foundational step in building an Italian large language model. Their strategic investment in AI technologies since 2019 underscores their commitment to innovation. By leveraging advanced AI and ML services, Fastweb has navigated challenges and unlocked new opportunities, highlighting the transformative potential of AI in telecommunications.

Enhancing ServiceNow with Amazon Q Business

By configuring an Amazon Q Business application and adding custom plugins, users can leverage natural language interfaces to interact with real-time data in ServiceNow. This setup simplifies searching, incident creation, and knowledge article management. The integration of natural language capabilities into business applications streamlines operations, making it easier for users to access and manipulate data efficiently.

Simplifying Multimodal Generative AI with Amazon Bedrock

Amazon Bedrock Data Automation offers a unified platform for developers to automate the extraction, transformation, and generation of insights across various media. Utilizing the AWS Management Console and the AWS SDK for Python (Boto3), developers can build generative AI applications for media analysis and intelligent document processing workflows. This capability empowers organizations to harness the full potential of multimodal data, driving innovation and enhancing decision-making processes.

TUI Group’s Use of Amazon Bedrock to Enhance Content Creation

TUI Group has successfully employed Amazon SageMaker and Amazon Bedrock to streamline their content creation process. By developing a content generator that adheres to specific brand guidelines, TUI can produce high-quality marketing content in under 10 seconds. This efficiency not only reduces workload but also ensures consistency in messaging, enhancing the overall customer experience across their digital platforms.

Llama 3.3 70B in Amazon SageMaker JumpStart

The availability of Llama 3.3 70B in Amazon SageMaker JumpStart marks a significant advancement in the field of LLMs. This model offers substantial performance improvements while requiring fewer computational resources compared to its predecessors. Organizations can deploy Llama 3.3 70B efficiently using SageMaker’s advanced features, optimizing both performance and cost, and gaining competitive advantages through enhanced AI capabilities.

Insights from AWS re:Invent 2024

Dr. Swami Sivasubramanian, Vice President of Data and AI at AWS, shared key takeaways from AWS re:Invent 2024, emphasizing innovations that support generative AI at scale. The latest AWS offerings are designed to meet real-world customer needs, enabling businesses to build and scale transformative AI applications. These advancements empower organizations to harness the power of AI to drive growth and innovation.

Multi-Tenant RAG with Amazon Bedrock Knowledge Bases

Organizations can leverage Amazon Bedrock Knowledge Bases with multi-tenant Retrieval-Augmented Generation (RAG) systems to maximize data assets. This approach allows businesses to deliver personalized experiences by utilizing proprietary knowledge and domain expertise. The integration of foundation models enhances natural language processing capabilities, offering new opportunities to unlock data value and gain a competitive edge in various industries.

How KeyCore Can Assist

KeyCore, as the leading AWS consultancy in Denmark, offers expert guidance and implementation support for businesses seeking to leverage AWS machine learning solutions. From embedding Amazon Q Business assistants to deploying large language models and orchestrating multi-agent systems, KeyCore’s team provides customized solutions tailored to specific business needs. With a deep understanding of AWS services and best practices, KeyCore is well-equipped to help organizations unlock the full potential of AI and machine learning technologies.

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Announcements, Updates, and Launches

Stable Diffusion 3.5 Large in Amazon Bedrock

Amazon Bedrock has launched Stable Diffusion 3.5 Large, a powerful tool for generating high-resolution images. This new version offers superior detail, a variety of styles, and excellent adherence to prompts. It is designed to accelerate visual content creation, making it an ideal solution for creatives looking to unleash their artistic potential. Key features include improved image quality and faster generation times, which can significantly enhance productivity in design and media projects.

Introduction of Amazon EC2 High Memory U7inh Instance

AWS has introduced the Amazon EC2 High Memory U7inh instance, designed specifically for large in-memory databases. These instances offer 1920 vCPUs and 32TB memory, powered by Intel Xeon Scalable processors. This makes them perfect for migrating SAP HANA and other mission-critical workloads. The U7inh instances provide enhanced cloud scalability and cost savings, enabling businesses to manage extensive data sets efficiently.

Farewell to a Leading AWS Blogger

After two decades and 3,283 blog posts, a leading voice on the AWS News Blog is wrapping up their tenure. Over the years, they have shared insights on numerous innovations, helping readers stay ahead in the fast-evolving tech world. Their contributions have been valuable in making complex AWS developments accessible to a broad audience.

AWS Weekly Roundup: Key Updates and Enhancements

The AWS Weekly Roundup following AWS re:Invent 2024 captures the momentum of the event, offering insights into recent updates. Highlights include the introduction of Amazon EC2 F2 instances, a price reduction for Amazon Bedrock Guardrails, and updates to Amazon SES. These announcements are geared towards helping businesses address their unique challenges through innovative AWS solutions. Keynotes and other event highlights are available for viewing, providing additional learning opportunities post-event.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is equipped to help businesses harness these new AWS offerings. Whether it’s leveraging the creative power of Stable Diffusion 3.5, migrating critical workloads to high-memory instances, or navigating recent AWS updates, KeyCore provides expert guidance and tailored solutions. Our team can assist in optimizing your AWS infrastructure to ensure maximum efficiency and cost-effectiveness. Visit our website to learn more about how we can support your AWS journey.

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

Small and medium businesses (SMBs) often face challenges when it comes to innovation, primarily due to the perceived risks involved. However, adopting a strategy of making small, reversible changes can lead to significant advancements. By fostering a culture of experimentation, SMBs can streamline their solutions and enhance their offerings without taking on undue risk.

Embracing Experimentation

For SMBs, innovation might seem daunting, but it doesn’t have to be. By encouraging small, manageable changes, businesses can spark creativity and innovation within their teams. These adjustments are not only easier to implement but also reversible, minimizing the fear of failure. This approach allows teams to experiment with new ideas, processes, or technologies in a controlled manner, paving the way for more effective solutions and improved products or services.

Shifting Mindsets

A critical step in this process is shifting the mindset of employees and management. Encouraging a culture that embraces change and values input from all team members is essential. By empowering teams to take initiative and try new approaches, SMBs can foster an environment of trust and collaboration. This collective mindset shift can drive the organization toward continuous improvement and long-term success.

Empowering Teams

Empowerment is crucial for successful implementation of small changes. When teams feel supported and trusted to make decisions, they are more likely to take calculated risks that can lead to innovation. Providing the necessary resources and training further enables employees to confidently explore new possibilities, ultimately benefiting the organization as a whole.

KeyCore’s Expertise

KeyCore is well-positioned to assist SMBs in this journey of innovation. With extensive experience in AWS solutions, KeyCore can help businesses navigate the complexities of cloud migration, enhancing their existing processes and offerings. By leveraging KeyCore’s expertise, SMBs can confidently make small changes that lead to big things, ensuring a smooth transition to the cloud and unlocking new opportunities for growth and efficiency.

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Official Database Blog of Amazon Web Services

Amazon DynamoDB re:Invent 2024 Recap

The Amazon DynamoDB team had a remarkable experience at AWS re:Invent 2024, centered around themes of integration, data modeling, and building resilient applications. Companies like Klarna and JPMorgan Chase showcased their innovative use of DynamoDB. This recap provides insights into these sessions, highlighting how organizations leverage DynamoDB’s capabilities for robust, scalable applications. The focus was on how integrations enhance functionality, and how data modeling strategies can optimize performance and scalability.

Transition from AWS DMS to Zero-ETL with Amazon Redshift

Zero-ETL integrations for Amazon Redshift automate data movement, simplifying real-time data integration. By eliminating traditional ETL pipelines, organizations can lower operational costs and focus on actionable insights. This post outlines best practices for migrating from AWS DMS to zero-ETL, emphasizing how it enhances efficiency. The transition reduces complexities and accelerates data-driven initiatives, allowing businesses to harness the full potential of their data with fewer resources.

Optimize Amazon RDS Performance with io2 Block Express

Choosing the appropriate storage configuration is crucial for Amazon RDS instances. This guide helps users select the right storage class based on use case requirements. It compares performance across various storage volumes supported by open-source engines in RDS. The analysis aids in optimizing database-centric workloads, ensuring that performance requirements are met effectively.

Monzo Bank’s Cost Reduction Strategy with Amazon Keyspaces

Monzo Bank successfully reduced costs associated with Time to Live (TTL) index tables in Amazon Keyspaces. By adopting a different row expiry mechanism, Monzo maintained the index’s functionality while decreasing operational expenses. This approach demonstrates an efficient method for managing large-scale data operations, highlighting potential cost-saving strategies for businesses using Keyspaces.

Migrating Oracle Databases from Exadata to Amazon RDS

This comprehensive guide addresses performance considerations when migrating Oracle databases from Exadata to Amazon RDS for Oracle. It explores methods for analyzing Exadata workloads and identifying SQLs utilizing Exadata-specific features. The post also discusses alternatives to mitigate performance impacts, ensuring a smooth transition to RDS while maintaining database performance.

Enhance Read-Heavy Applications with Amazon DynamoDB Accelerator

Amazon DynamoDB Accelerator (DAX) is a managed in-memory cache that improves latency for read-heavy applications. This post explains how using DAX with DynamoDB can enhance performance and reduce costs. It focuses on optimizing read operations, ensuring applications run efficiently with low latency.

Authenticate Amazon RDS for Db2 with On-Premises AD and Kerberos

The post demonstrates how to extend existing Active Directory infrastructure and Kerberos authentication methods to Amazon RDS for Db2. This integration ensures secure and seamless authentication processes, enhancing database security and management for enterprises utilizing these technologies.

FundApps’s Journey to Amazon Aurora Serverless v2

FundApps rearchitected their environment, transitioning from SQL Server to Amazon Aurora Serverless v2 with Babelfish. This migration improved scalability, reduced costs, and streamlined operations. The post details how FundApps leveraged AWS services to enhance their regulatory data service, showcasing the benefits of a cloud-centered solution.

Shrink RDS Storage Volumes with Blue/Green Deployments

Amazon RDS’s new feature allows users to shrink storage volumes using Blue/Green Deployments. This capability minimizes downtime during storage reduction operations. The post explores monitoring techniques and best practices to optimize storage size, offering a cost-effective approach to manage database infrastructure.

Best Practices for Creating a VPC for Amazon RDS for Db2

Setting up a VPC is a prerequisite for creating an Amazon RDS for Db2 instance. This post outlines best practices using automated one-click deployment. It covers configuration methods through various AWS tools, ensuring that users establish a secure and efficient virtual private cloud tailored for RDS deployments.

How KeyCore Can Assist

KeyCore, the leading AWS consultancy in Denmark, offers expert guidance in implementing these AWS solutions. From DynamoDB optimization to seamless migrations and real-time data integration, KeyCore provides both professional and managed services. Our team ensures businesses can leverage AWS technology to achieve operational excellence and cost efficiency. For more details, visit KeyCore’s website.

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AWS Cloud Financial Management

The AWS Cloud Financial Management services have recently been enhanced with ten new features, announced at the 2024 re:Invent. These updates are tailored to support more effective FinOps tasks, acting as valuable tools for managing financial operations in the cloud. These features aim to streamline workflows and improve the overall efficiency of cloud financial management, serving as timely “holiday gifts” for AWS users. The introduction of these features reflects AWS’s commitment to providing comprehensive solutions for managing cloud costs and optimizing financial operations.

Custom Billing Views: Enhanced Cost Management

A notable addition to the AWS Billing and Cost Management suite is the custom billing views feature. This tool allows organizations to create tailored cost and usage views accessible by member accounts across the organization. This feature is particularly beneficial for teams managing multiple AWS accounts, as it consolidates cost data into a single, accessible view while maintaining the security and integrity of the management account’s data.

Custom billing views empower organizations to efficiently manage their financial data by designating specific member accounts to view comprehensive cost and usage data. This capability allows organizations to maintain strict access control while providing necessary financial insights to relevant stakeholders. Setting up custom billing views involves configuring access permissions and selecting the data to be included, thereby tailoring the financial visibility according to organizational needs.

KeyCore’s Expertise in AWS Cloud Financial Management

KeyCore stands ready to assist organizations in leveraging these new AWS Cloud Financial Management features. With deep expertise in AWS services, KeyCore can help set up and optimize custom billing views, ensuring that financial data is both secure and accessible to the right stakeholders. Furthermore, KeyCore’s managed services can help streamline financial operations, enabling organizations to focus on their core business activities.

Whether your organization is looking to adopt new AWS financial management tools or optimize existing processes, KeyCore offers tailored consulting services to meet your needs. Our team of AWS specialists can provide guidance on best practices and help implement effective financial management strategies to enhance your cloud operations.

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AWS for Games Blog

Generative AI Enhancements with AWS and QORPO

In today’s competitive gaming market, capturing players’ attention is a daunting task. QORPO, a game developer, publisher, and solutions provider, has successfully differentiated its offerings with unique video gaming experiences. By harnessing the power of Amazon Web Services (AWS), QORPO has accelerated the creative development of its popular titles, such as “Citizen Conflict.” The integration of AWS’s managed services has been pivotal in this transformation.

Recently, QORPO incorporated Amazon GameLift into its game infrastructure. This AWS service facilitates the deployment, operation, and scaling of dedicated game servers for session-based multiplayer games. By using GameLift, QORPO has enhanced its server management capabilities, leading to improved game performance and player satisfaction.

Additionally, QORPO has embraced generative AI features, which has further elevated the gaming experience. These advancements allow for more dynamic and engaging interactions within the game, providing players with a richer and more immersive experience. The flexibility and scalability offered by AWS enable QORPO to innovate continually and maintain a competitive edge in the gaming industry.

Transforming Game Backend Services with AWS Global Accelerator

For live service and multiplayer games, maintaining high performance and immersive experiences is crucial. These games have evolved to include features like real-time matchmaking, cross-play, in-game transactions, and social interactions. However, many developers face challenges with outdated, monolithic architectures that hinder scalability, performance, and security.

AWS Global Accelerator offers a solution to these challenges. It provides a networking service that improves the availability and performance of applications with global users. By using AWS Global Accelerator, game developers can route traffic more efficiently and reduce latency, resulting in a seamless gaming experience.

Modernizing game backend services with AWS allows developers to break free from the constraints of traditional architectures. This modernization supports scalability and enhances performance, ensuring that games can meet the growing demands of players worldwide.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to support gaming companies in integrating AWS services like GameLift and Global Accelerator. By leveraging our expertise, developers can optimize their infrastructure to deliver high-quality gaming experiences. Whether it’s through professional services or managed services, KeyCore offers tailored solutions to meet the unique needs of the gaming industry. Our team can assist in designing, implementing, and managing AWS-based solutions to ensure your games perform optimally and remain competitive in the market.

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AWS Training and Certification Blog

Understanding the Role of AWS Solutions Architects

AWS Solutions Architects are pivotal in guiding businesses through their cloud journeys. As a free resource to customers and partners, they fulfill three essential roles: technical advisor, customer advocate, and educator. Each role brings distinct advantages, from providing technical insights to advocating for customer needs and offering educational support. This multi-faceted approach ensures that organizations maximize their AWS investments and optimize their cloud strategies.

Benefits of Engaging AWS Solutions Architects

Engaging with AWS Solutions Architects allows businesses to leverage time-tested expertise and industry best practices. These professionals possess in-depth knowledge of AWS services and have experience working with diverse industries and company sizes. This expertise enables architects to deliver tailored advice that aligns with each business’s unique objectives and challenges. Furthermore, as educators, they empower teams by sharing valuable knowledge and skills, which aids in the ongoing development of the organization’s cloud capabilities.

Implementing Best Practices Across AWS Services

By collaborating with AWS Solutions Architects, companies can implement best practices across a wide range of AWS services. This collaboration helps streamline operations, improve performance, and enhance security. Architects guide organizations in adopting the most efficient and effective cloud solutions, ensuring that the infrastructure supports current and future business needs. They also help in the design and deployment of robust architectures that can scale with the business, thereby providing a solid foundation for innovation and growth.

How KeyCore Can Assist

At KeyCore, we recognize the value that AWS Solutions Architects bring to the table. As the leading AWS consultancy in Denmark, KeyCore can help businesses engage with these experts to bolster their cloud strategies. Our team can facilitate the connection with AWS Solutions Architects and provide additional support to integrate their guidance effectively. Whether it’s through professional services or managed services, KeyCore ensures that organizations fully capitalize on the expertise of AWS Solutions Architects to achieve strategic cloud transformation.

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Microsoft Workloads on AWS

Azure DevOps Pipelines are crucial for enabling continuous integration and deployment across various platforms. One of the challenges when using Azure DevOps with AWS is managing static AWS Identity and Access Management (IAM) credentials securely. The AWS Toolkit for Azure DevOps version 1.15.0+ introduces a streamlined solution using OpenID Connect (OIDC) to federate into AWS accounts efficiently.

Understanding OpenID Connect Integration

OpenID Connect (OIDC) simplifies the process of obtaining temporary AWS credentials without the need to handle static IAM credentials. This integration allows Azure DevOps to establish a trust relationship with AWS, enabling seamless federation. By leveraging OIDC, users can authenticate Azure DevOps directly with AWS IAM roles, promoting secure and scalable access management.

Steps to Implement OIDC in Azure DevOps

To implement this setup, one must configure an OIDC provider in AWS IAM, create a corresponding IAM role with permissions needed by the Azure DevOps pipelines, and configure the Azure DevOps service connection to use this role. The AWS Toolkit for Azure DevOps facilitates this process through a user-friendly interface, reducing complexity and enhancing security.

Business Value of OIDC Federation

Adopting OIDC-based federation in Azure DevOps offers significant business advantages. It eliminates the risks associated with storing long-lived AWS credentials, thus minimizing potential security vulnerabilities. Additionally, this approach streamlines operational overhead by removing the need for constant credential rotation and management, allowing teams to focus on higher-value tasks.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, can help organizations implement OIDC federation seamlessly. Our expertise in AWS and cloud security ensures a smooth transition, enabling teams to maximize the benefits of this integration. Whether through professional services or managed services, KeyCore offers customized solutions to enhance your cloud infrastructure and security posture.

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Official Big Data Blog of Amazon Web Services

Amazon Q Data Integration Enhancements

Amazon Q data integration continues to evolve, offering innovative capabilities that enhance ETL development in AWS Glue. The introduction of DataFrame support allows for seamless code generation across any Spark environment. In addition, the in-prompt context-aware development feature improves ETL operations by integrating conversational context into job creation, streamlining workflows with an iterative development approach. These enhancements make ETL processes more efficient, intuitive, and aligned with modern data needs.

Jumia’s Metadata-Driven Data Platform Transformation

Jumia has embarked on a transformative journey to modernize its data platform, moving from a Hadoop-based system to a robust, serverless architecture on AWS. Leveraging AWS Professional Services, Jumia developed a metadata-driven specification framework to enhance scalability and reduce costs. This modernization not only supports Jumia’s expansive operations across 14 African countries but also ensures agility and performance in handling growing data volumes.

HEMA’s Data Governance with Amazon DataZone

HEMA, a prominent Dutch retailer, shares its successful deployment of Amazon DataZone to establish an enterprise-wide data mesh. The initiative, implemented in May 2024, significantly improved data discoverability and governance. By overcoming challenges in decentralized data sharing, HEMA enhanced business operations through streamlined data access and control. Amazon DataZone has proven to be a pivotal asset in HEMA’s data governance strategy.

Optimizing Apache Iceberg with AWS Glue Auto Compaction

AWS Glue introduces auto compaction features in the Data Catalog, optimizing Apache Iceberg tables for better query performance. This feature reduces metadata overhead and simplifies the management of transactional data lakes, ensuring consistent performance for streaming data. The automatic compaction capability represents a significant advancement for users managing large datasets in dynamic environments.

Custom Workflow for Amazon S3 Assets Using Amazon DataZone

This post explores the implementation of a custom subscription workflow for unmanaged Amazon S3 assets using Amazon DataZone, Amazon EventBridge, and AWS Lambda. This solution automates the fulfillment process, enhancing governance and simplifying data access across organizations. By leveraging these AWS services, businesses can streamline workflows and improve the manageability of unstructured data.

Enhancing Search with Cohere Rerank 3.5 and Amazon OpenSearch Service

Integrating Cohere Rerank 3.5 with Amazon OpenSearch Service revolutionizes search relevancy, improving outcomes for keyword-based and semantic searches. By enhancing user experience and engagement, businesses can drive more effective search results. Implementing a reranking pipeline facilitates better search functionality, supporting businesses in achieving superior user satisfaction and operational efficiency.

New Amazon Kinesis Source Connector for Apache Flink

The release of version 5.0.0 of AWS services connectors introduces a new source connector for Apache Flink, enhancing data ingestion from Amazon Kinesis Data Streams. This new feature improves performance and reliability for Apache Flink applications, supporting more efficient processing of real-time data streams and bolstering data-driven decision-making.

Amazon Redshift 2024 Innovations Recap

Amazon Redshift has made significant advancements in 2024, improving price-performance and enabling data lakehouse architectures. New capabilities simplify data ingestion and support near real-time analytics, alongside generative AI features for natural language applications. These developments underscore Amazon Redshift’s commitment to enhancing user productivity and data-driven insights.

DeNA’s Accelerated Data Quality Testing with Amazon Redshift Serverless

DeNA Co., Ltd. showcases a case study on using Amazon Redshift Serverless and dbt to expedite anonymized data quality tests by up to 100 times. This collaboration underscores DeNA’s commitment to efficiency and innovation, demonstrating how cloud technologies can significantly enhance operational processes and data integrity.

Game Changers in AWS Streaming Data

AWS introduces over 50 new capabilities in its streaming services, revolutionizing performance, scale, and cost-efficiency. Some innovations have significantly increased performance and reduced failure recovery times, empowering customers to integrate real-time analytics seamlessly into AI applications and lakehouses. These advancements position AWS as a leader in streaming data solutions.

Amazon SageMaker Lakehouse Unified Data Connectivity

Amazon SageMaker Lakehouse’s new unified data connectivity empowers businesses to efficiently manage data integration. This streamlined connection management enhances data exploration and utilization across AWS services, supporting agile business objectives. The unified connectivity facilitates a cohesive data strategy, unlocking the full potential of organizational data assets.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, can assist organizations in leveraging these AWS innovations to enhance their data strategies. Whether optimizing ETL processes, modernizing data platforms, or improving data governance and search capabilities, KeyCore’s expertise ensures that businesses can fully capitalize on AWS’s latest offerings. KeyCore provides tailored solutions and managed services, guiding organizations through every step of their AWS journey to achieve operational excellence and drive business growth.

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AWS for M&E Blog

Low-Latency Captions and Voice Translation with AWS and SyncWords

Delivering low-latency captions and voice translation for live sports, news, and OTT platforms is a common challenge for media companies. Customers often seek solutions that incorporate Automatic Speech Recognition (ASR) technologies to enhance their live content. AWS, in collaboration with SyncWords, has addressed this need by providing a secure and efficient cloud-based solution that minimizes latency in delivering captions and translations.

SyncWords leverages AWS services to process and manage live audio with minimal delay, ensuring that captions and translations appear in real-time. This is crucial for live events where timing and synchronization are essential. By utilizing AWS’s scalable infrastructure, SyncWords can handle the fluctuating demands of live broadcasting efficiently. This solution not only improves viewer experience by providing accurate and timely captions but also expands accessibility by offering voice translations in multiple languages.

With AWS’s robust cloud capabilities, media platforms can now ensure that their live content is accessible to a broader audience, enhancing engagement and inclusivity. The collaboration between AWS and SyncWords exemplifies how cloud technology can be harnessed to solve industry-specific challenges, delivering innovative solutions that cater to the needs of a dynamic market.

Hornet’s Enhanced Rendering Capacity with AWS

Hornet, a creative studio renowned for its imaginative work in live action, VFX, stop motion, and more, has expanded its rendering capacity through AWS. Known for crafting visually stunning content for major advertising agencies and global brands, Hornet needed to scale its infrastructure to meet the increasing demands for high-quality visual content.

By partnering with AWS, Hornet has been able to supercharge its rendering capabilities, allowing the studio to process complex visual effects and animations more efficiently. AWS’s scalable cloud infrastructure provides Hornet with the flexibility to manage peak workloads without the need for significant on-premises investments. This has enabled Hornet to maintain its creative edge, delivering content that captivates audiences worldwide.

Utilizing AWS’s robust services, Hornet can optimize its production pipeline, reduce rendering times, and improve overall operational efficiency. This collaboration highlights how cloud technology can empower creative agencies to push the boundaries of visual storytelling, delivering exceptional content that stands out in a competitive market.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, can provide comprehensive support for businesses looking to leverage AWS’s capabilities in media and entertainment. Whether it’s implementing low-latency solutions like SyncWords for live broadcasting or enhancing rendering capacity for creative studios like Hornet, KeyCore’s expertise ensures that clients can fully capitalize on AWS’s robust infrastructure and services.

Our professional services are designed to tailor solutions to specific business needs, ensuring optimal performance and scalability. Additionally, KeyCore’s managed services offer continuous support and optimization, allowing businesses to focus on their core activities while we handle their AWS environment. With KeyCore, clients can innovate confidently, knowing they have a strategic partner who understands the intricacies of AWS and the media landscape.

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AWS Storage Blog

Understanding AWS Cloud Data Patterns: Extend, Aggregate, and Curate

In a series of discussions at AWS re:Invent 2024, three essential data patterns were highlighted: Extend, Aggregate, and Curate. Each of these patterns offers unique benefits for organizations aiming to optimize their cloud data strategies.

The Extend Pattern

The Extend pattern allows companies to leverage AWS’s extensive cloud capabilities by augmenting their existing data infrastructure. By selectively extending workloads or datasets to the cloud, organizations can scale efficiently without overhauling their entire architecture. This pattern is particularly useful for businesses aiming to experiment with cloud-based analytics or processing without committing to a full migration.

The Aggregate Pattern

The Aggregate pattern is the most widely adopted among AWS customers. It involves consolidating disparate data sources into a unified dataset, enabling comprehensive analysis and insight generation. This pattern supports improved decision-making as it provides a holistic view of organizational data, which is crucial for advanced analytics and machine learning applications.

The Curate Pattern

Curating data involves refining and organizing datasets to enhance their utility for analytics and AI use cases. This pattern has seen increased adoption as businesses recognize the value of structured data in driving accurate insights and predictions. By curating data, companies can ensure its relevance and quality, which is critical for leveraging AI effectively.

Monitoring Amazon EBS Latency with CloudWatch

Amazon EBS latency significantly impacts application performance, especially for latency-sensitive workloads. Effective monitoring using Amazon CloudWatch allows businesses to track performance metrics and set up alarms for potential disruptions. This proactive approach to monitoring ensures applications continue to run smoothly, thereby minimizing business disruptions.

Enhancing AWS Elastic Disaster Recovery with CloudWatch Log Insights

Reliable disaster recovery is critical for business continuity. By using CloudWatch Log Insights, organizations can gain deeper visibility into their DR environments. This enhanced logging capability enables operational teams to monitor, troubleshoot, and optimize disaster recovery processes, ensuring systems are resilient and ready to recover from potential failures.

Streamlining Data Recovery with AWS Backup

AWS Backup’s search and item-level recovery feature streamlines the data restoration process. Instead of recovering entire datasets, users can now efficiently locate and restore specific files, saving time and resources. This capability is particularly valuable in day-to-day operations where quick access to individual files is often required.

Strengthening Business Continuity with AWS Elastic Disaster Recovery

Operating within a single Availability Zone can pose risks to business continuity. AWS Elastic Disaster Recovery provides a robust solution by ensuring that applications can quickly recover within the same AZ. This is particularly beneficial for legacy or commercial off-the-shelf applications that are not designed for multi-AZ deployments.

Analyzing S3 Metadata with Amazon Athena and QuickSight

Managing vast volumes of data in Amazon S3 can be challenging. Utilizing Amazon Athena and QuickSight for metadata analysis provides a strategic advantage. These tools enable businesses to efficiently query and visualize metadata, offering insights into data usage and trends. This capability supports better data governance and optimization strategies.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance and support in implementing these advanced AWS data patterns and solutions. Whether optimizing data strategies, ensuring effective disaster recovery, or enhancing metadata analysis, KeyCore’s professional and managed services ensure businesses can fully leverage AWS technologies to drive innovation and efficiency.

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AWS Developer Tools Blog

Amazon SQS is a widely used service for message queuing, providing a reliable and scalable way to decouple and distribute microservices, distributed systems, and serverless applications. The introduction of Automatic Request Batching in the AWS Java SDK 2.x enhances its utility by optimizing the way requests are sent to Amazon SQS. This feature groups up to 10 requests together on the client side before dispatching them as a single batch request to the SQS service, significantly improving performance and reducing costs associated with API calls.

Benefits of Automatic Request Batching

The key benefit of this update is the reduction in the number of API calls, which directly translates into cost savings, especially for applications with high throughput requirements. By reducing the number of requests sent to SQS, developers can also achieve lower latency and higher throughput, effectively increasing the application’s performance. The feature is particularly useful for scenarios where messages are generated at variable rates, as it can automatically adapt to batch requests efficiently.

How It Works

The Automatic Request Batching API works by accumulating messages on the client-side until a predefined threshold is reached, or a specific timeout occurs, after which the batch is sent to SQS. This process is seamless to the end-user and requires minimal configuration, making it easy to integrate into existing applications. The SDK manages the complexity of batching, allowing developers to focus on their application logic rather than the intricacies of message queuing optimization.

Integrating with AWS Java SDK 2.x

To leverage this feature, developers using the AWS Java SDK 2.x need to enable the batching option in their SQS client configuration. The SDK provides flexible configuration options, allowing developers to specify batch size and timeout according to their application’s specific needs. The ability to tune these parameters ensures that applications can achieve optimal performance and cost efficiency tailored to their workload requirements.

KeyCore, as a leading AWS consultancy, offers extensive expertise in optimizing cloud-native applications using AWS services like Amazon SQS. Our team can assist in integrating Automatic Request Batching into existing systems, ensuring efficient message processing, and improving application scalability. With our managed services, businesses can focus on innovation while we handle the complexities of AWS service configurations and optimizations.

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AWS Partner Network (APN) Blog

LeapThought’s FULCRUMHQ: Revolutionizing Construction Efficiency

The Architecture, Engineering, Construction, and Operations (AECO) industry often grapples with complex challenges that can impede technology adoption and collaboration. LeapThought’s FULCRUMHQ offers a solution with its AI-powered platform. By streamlining workflows and enabling smarter decisions, FULCRUMHQ democratizes access to Building Information Modeling (BIM) and transforms data management. This empowers teams to drive efficiency, reduce rework, and optimize performance throughout project and asset lifecycles, unlocking the full potential of digital transformation in construction.

Enhancing Security with Wiz on AWS Landing Zone

Cloud migration brings significant security challenges, including regulatory compliance and visibility issues that traditional methods often fail to address. Wiz, integrated with AWS Landing Zone, provides a robust solution for managing cloud security from the outset. By ensuring robust security measures, organizations can successfully embark on digital transformation journeys without compromising on security, effectively addressing skill shortages and delayed implementations.

Gandalf Insights: Simplifying Data Analytics with Natural Language

Genese Solution’s Gandalf Insights is revolutionizing data analytics with its ability to query complex databases using natural language. This AWS-powered tool dramatically reduces time-to-insight from days to minutes, decreases IT support costs, and enhances business team autonomy. It empowers business users to harness the power of data analytics without extensive technical knowledge, driving quicker decision-making and operational efficiency.

AI-Powered Chatbots: Optimizing Aircraft Payload Planning

In the intricate domain of airline operations, precise planning is critical. AI-powered chatbots running on AWS streamline aircraft payload planning and closeout, enhancing operational efficiency. By facilitating accurate and automated processes, these chatbots reduce manual errors and enhance decision-making in real-time, leading to more efficient airline operations.

Celebrating 215 New AWS Partners in November

November 2024 witnessed the addition of 215 AWS Partners with new or renewed specializations across AWS Competency, Managed Service Provider (MSP), Service Delivery, and Service Ready programs. These designations span various workloads, solutions, and industries, enabling AWS customers to identify top partners that can help achieve core business objectives. This growth highlights AWS Partners’ commitment to customer success and leveraging AWS business benefits.

AI-Driven Efficiencies in Crop Insurance Underwriting

Farmers Mutual Hail Insurance Company of Iowa, in collaboration with Source Allies, is pioneering AI-driven solutions in crop insurance underwriting using Amazon Bedrock and Amazon OpenSearch Service. These technologies streamline processes, improving accuracy and efficiency in underwriting decisions. This innovation represents a significant leap forward in leveraging AWS capabilities for industry-specific challenges.

Deloitte’s Efficient Cloud Migrations with AWS Migration Hub Journeys

Deloitte employs AWS Migration Hub Journeys to enhance cloud migration efficiency for their clients. With features like migration templates, collaboration tools, and task orchestration, Deloitte’s approach enables smoother transitions to AWS. A pilot project with a large insurance customer demonstrated the effectiveness of these tools in achieving streamlined migrations.

Atos’ Successful Migration Strategies with AWS Migration Hub Journeys

Atos utilizes AWS Migration Hub Journeys to improve cloud migration processes and project management. With features like multi-party login and customizable journey templates, Atos transforms migration project management, enhancing collaboration and efficiency. This global leader in digital transformation leverages AWS tools to elevate migration strategies.

VTEX’s Cost-Per-Tenant E-Commerce Platform on AWS

VTEX operates a multi-tenant e-commerce platform on AWS, presenting unique cost allocation challenges. This article delves into how VTEX manages infrastructure and service costs while retaining the scalability benefits of a shared environment. Understanding this balance is crucial for maintaining competitiveness and financial sustainability in the e-commerce industry.

Industry Solutions Spotlight: AWS Partner Offerings

The “This is My Offer” YouTube series from the AWS Partner Network introduces businesses to innovative AWS Partner solutions across various industries. Through concise interviews with AWS Partners, the series showcases cutting-edge technologies that address real-world challenges. This initiative simplifies the discovery and utilization of AWS-powered solutions, enhancing business transformation.

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AWS HPC Blog

In the world of high-performance computing (HPC), leveraging AWS’s capabilities can significantly enhance research and engineering processes. AWS provides robust solutions for building secure research environments and conducting complex biological computations, such as protein folding. Below is a summary of how AWS addresses these needs with specific solutions like the Research and Engineering Studio (RES) and Quantori’s protein folding integration.

Integrating Research and Engineering Studio in Trusted Research Environments

The Research and Engineering Studio (RES) on AWS is a powerful tool designed for administrators who need to construct Trusted Research Environments (TREs). These environments are built with integrated security and compliance controls, ensuring that sensitive research data is protected and managed according to organizational and regulatory standards. By utilizing RES, organizations can create secure and compliant infrastructures for research, streamlining the administration process while maintaining rigorous data protection protocols.

The flexibility of AWS allows RES to adapt to various research needs, supporting a wide range of scientific and engineering applications. With built-in security features, researchers and engineers can focus on their work without worrying about data breaches or compliance issues. The AWS platform also provides scalability, enabling environments to grow alongside research projects, which is especially beneficial for institutions handling large datasets.

Run Protein Folding on AWS with Quantori

Protein folding is a complex biological process, crucial for understanding diseases and developing new drugs. Quantori has developed a solution that utilizes AWS for running AI-powered protein folding analyses. This solution empowers researchers to test generative models and visualize their results within a cloud environment, providing a seamless integration with AWS’s robust computing power.

Using AWS, Quantori’s solution ensures scalability and reliability for extensive computational needs. Researchers can efficiently run simulations and analyses without the constraints of traditional on-premises hardware. The visualization tools integrated into the solution offer clear insights into protein structures, enabling more precise and faster scientific discoveries. This approach supports the growing demand for computational biology applications, leveraging AWS’s technological strengths to drive innovation in biological research.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, offers expertise in building and managing sophisticated AWS environments tailored to specific needs such as those described above. For organizations looking to establish Trusted Research Environments or deploy solutions like Quantori’s protein folding, KeyCore provides both professional services and managed services. Their team can assist in setting up secure, scalable, and compliant research infrastructures, ensuring that clients get the most out of AWS’s capabilities. With KeyCore’s guidance, organizations can focus on advancing their research goals while enjoying peace of mind regarding their cloud infrastructure and compliance requirements. Visit KeyCore for more information on how they can support your AWS projects.

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AWS Cloud Operations Blog

Getting Started with Amazon Q Developer for Operational Investigations

Amazon Q Developer is a powerful AI-assisted troubleshooting tool designed to aid in operational investigations within AWS environments. This blog post walks readers through the initial setup and use of this tool, providing a step-by-step guide to configure user permissions, manage data access, set up encryption, and initiate the first investigation. By leveraging Amazon Q Developer, users can streamline their troubleshooting processes and enhance their operational efficiency.

The setup process begins with configuring user permissions, ensuring that only authorized personnel have access to sensitive data and functionalities. Managing data access is crucial for maintaining security and compliance, and the setup guide provides detailed instructions on how to do this effectively. Encryption is another key aspect, ensuring that data remains secure during investigations. Once these components are in place, users can start their first investigation, utilizing the AI-driven capabilities of Amazon Q Developer to identify and resolve issues quickly.

Enhanced AWS Resource Explorer for Centralized Resource Insights

AWS has announced enhancements to the AWS Resource Explorer, which now offers a unified view of centralized resource insights and properties from various AWS services. This updated Resource Explorer experience allows users to gain relevant data and insights from different AWS services, centralized for supported resource types. By utilizing a keyword-based search, users can quickly retrieve a list of resources, enabling efficient resource management and operational decision-making.

The enhanced features provide a comprehensive overview of resources, improving visibility and control over the AWS environment. This centralized insight is particularly beneficial for large-scale operations, where managing multiple resources across services can be challenging. The improved search capabilities facilitate faster access to critical information, aiding in faster problem resolution and resource optimization.

Automated Recommendations for AWS Systems Manager Patching with Amazon Bedrock

Maintaining an up-to-date and secure AWS infrastructure is crucial for any cloud environment. AWS Systems Manager’s patching capabilities play a significant role in this process by automatically applying the latest security updates and bug fixes to managed nodes, including EC2 instances and on-premises servers. This blog post highlights how Amazon Bedrock’s automated recommendations make troubleshooting AWS Systems Manager patching easier.

Through automated recommendations, users can efficiently address patching issues, reducing downtime and enhancing system reliability. This automation not only ensures systems are protected against vulnerabilities but also optimizes the patching process, freeing up valuable IT resources for other critical tasks. By implementing these recommendations, organizations can maintain a robust and secure cloud environment with minimal manual intervention.

Monitoring Amazon S3 Access with AWS CloudTrail and Amazon CloudWatch

Data protection is paramount, but monitoring access to data is equally important. AWS CloudTrail and Amazon CloudWatch provide effective ways to track and monitor access to Amazon S3 buckets. This blog post explains how organizations can detect access attempts and identify potential unauthorized attempts, ensuring data security and compliance.

AWS CloudTrail records data access activities, offering detailed logs on who accessed what and when. This information is crucial for auditing and compliance purposes. Additionally, by integrating CloudTrail with CloudWatch, users can set up alerts and monitoring to proactively manage access patterns and respond to suspicious activities. These tools together help organizations maintain a secure AWS environment by providing insight into data access and allowing for real-time monitoring.

How KeyCore Can Help

KeyCore offers comprehensive AWS consultancy services to help organizations adopt, implement, and optimize AWS solutions. Whether it’s setting up Amazon Q Developer for operational investigations, leveraging the enhanced AWS Resource Explorer, automating patching with AWS Systems Manager and Amazon Bedrock, or monitoring S3 access with CloudTrail and CloudWatch, KeyCore provides expert guidance and support. Our team of AWS certified professionals ensures that organizations can maximize their AWS investments and maintain a secure, efficient cloud environment. Learn more about our offerings at KeyCore.dk.

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AWS for Industries

Streamlining Financial Operations with Stripe and Amazon EventBridge

Stripe, a financial infrastructure platform, provides essential tools for businesses to manage online and in-person payments effectively. As the digital landscape evolves rapidly, companies need automated workflows to handle customer payment flows efficiently. This involves triggering processes like fulfilling orders and granting user access after payments are made. Integrating Stripe’s event destinations with Amazon EventBridge allows for seamless automation and real-time data processing. By leveraging this integration, businesses can enhance their operational efficiency, reduce manual errors, and improve customer satisfaction, setting the stage for scalable and resilient financial operations.

Joby Aviation’s Cloud Migration to AWS

Joby Aviation, a California-based innovator in electric aircraft, is revolutionizing air travel with its quiet, all-electric planes capable of vertical takeoff and landing. To support its ambitious goals, Joby migrated its Product Lifecycle Management (PLM) to AWS. This strategic move enables Joby to leverage AWS’s robust infrastructure for enhanced data management, scalability, and collaboration across its development teams. The transition to AWS is instrumental in reducing costs and accelerating time-to-market for Joby’s next-generation aviation solutions, while also contributing to a sustainable future in air transport.

Reducing Semiconductor Design Costs with EC2 Spot Instances and Exostellar

Semiconductor design is a resource-intensive undertaking, often constrained by high computational costs. Exostellar, an AWS partner, has developed the Exostellar Infrastructure Optimizer to mitigate risks associated with using Amazon EC2 Spot Instances for extensive electronic design automation (EDA) workloads. By utilizing Spot Instances, semiconductor companies can achieve up to 90% savings compared to On-Demand EC2 pricing. This cost optimization is crucial in maintaining competitive pricing and innovation in the semiconductor industry, enabling faster and more efficient design cycles.

Transforming Energy Tracking with Moeve’s Custom Solutions

Moeve, a global leader with nearly a century in the energy sector, is pivoting towards sustainable energy solutions. To support this transition, Moeve implemented a bring-your-own-map tracking solution to enhance its energy park operations. This innovative approach utilizes AWS technologies to provide real-time tracking and data analytics, aiding in the efficient management of renewable energy resources. Moeve’s adaptation not only aligns with global sustainability goals but also positions the company as a pioneer in clean energy advancements.

Anticipating AWS’s Impact at NRF 2025

The retail industry is abuzz as the National Retail Federation (NRF) 2025 event approaches, with AWS poised to make a significant impact. Slated for January in New York, this event will showcase the latest in retail technology, focusing on connectivity, innovation, and customer engagement. AWS will offer insights into transforming retail operations, enhancing supply chains, and personalizing customer experiences through advanced cloud solutions. Retailers attending NRF 2025 can expect to leave with actionable strategies to leverage AWS services for improved business outcomes.

AI Business Transformation for Consumer Goods

Despite being a topic of extensive debate, AI adoption in consumer goods is slower than in other sectors. A 2024 McKinsey survey indicated that 71% of leaders in this field are implementing AI in at least one function. However, to fully harness AI’s potential, businesses need to integrate it across various operations. This transformation can lead to significant competitive advantages, enhancing product innovation, supply chain efficiency, and customer insights. Companies that embrace AI comprehensively will likely lead in consumer satisfaction and market share.

Enhancing Fintech with Generative AI at Remita

Remita, a leading Nigerian fintech company, is at the forefront of integrating Generative AI to elevate payment experiences and system integrations. This technological advancement offers enhanced user engagement, streamlined payment processes, and improved operational efficiency. By harnessing the capabilities of Generative AI, Remita can provide more personalized and adaptive financial services, contributing to better customer retention and satisfaction, while also setting new standards in the fintech industry.

Driving Drug Discovery Innovation with Bayer and Generative AI

Bayer is leveraging generative AI to accelerate drug discovery and streamline pharmaceutical development processes. Collaborating with AWS, Bayer aims to reduce the time and cost involved in predicting chemical reaction conditions. This innovative approach not only speeds up the discovery of new drugs but also enhances the ability to deliver vital therapies swiftly to patients. Bayer’s use of AI exemplifies the transformative potential of cloud computing in the healthcare sector, paving the way for more efficient and effective treatment solutions.

Key Insights from re:Invent 2024 for Manufacturing

The AWS re:Invent 2024 event provided myriad learning opportunities for the manufacturing sector, showcasing tomorrow’s technological advancements. Attendees experienced hands-on demos, including an interactive e-bike machine simulating factory operations. These innovations highlight the use of AWS technologies in optimizing manufacturing processes, driving efficiency, and fostering a culture of technological adoption. For manufacturers, embracing AWS solutions can lead to substantial gains in productivity, innovation, and competitive advantage.

How KeyCore Can Assist

KeyCore offers unparalleled expertise in AWS services, providing professional and managed services to help businesses across industries leverage the cloud effectively. KeyCore can assist in integrating AWS solutions like Amazon EventBridge or EC2 Spot Instances, optimizing financial operations, supporting cloud migrations, or employing AI in various business functions. With customized consulting and implementation strategies, KeyCore ensures your cloud journey aligns with business objectives, delivering tangible outcomes and sustained growth.

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AWS Messaging & Targeting Blog

Amazon Simple Email Service (SES) offers a powerful solution for enhancing email campaigns through its SendBulkEmail APIs and inline templates. As a cloud-based email sending service, Amazon SES efficiently manages both inbound and outbound email traffic for applications, eliminating the need for users to provision their own email servers. This service is highly reliable, cost-effective, and widely used by customers aiming to streamline their email operations.

Streamline Email Campaigns with Inline Templates

One of the key features of the Amazon SES SendBulkEmail API is the support for inline templates. These templates allow users to dynamically populate email content, tailoring each message to individual recipients without having to manage complex logic in the application code. By using inline templates, businesses can enhance personalization in their email campaigns, increasing engagement and improving conversion rates.

Cost-Effective and Reliable Infrastructure

Amazon SES is designed to offer a scalable, cost-effective email infrastructure that is easy to integrate with various applications. It provides users with the flexibility to send transactional, marketing, or notification emails. The service supports major email protocols, including SMTP, and offers robust features such as email monitoring and feedback loops, ensuring high deliverability and customer satisfaction.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, can help businesses leverage Amazon SES to its fullest potential. Our team of AWS experts can assist in setting up and optimizing SES for your specific needs, ensuring seamless integration with your existing systems. From configuring the SendBulkEmail APIs to customizing inline templates, KeyCore provides end-to-end support to enhance your email campaigns and achieve your business objectives. Contact us to learn more about how our professional and managed services can drive your email marketing success with Amazon SES.

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AWS Marketplace

In the ever-evolving world of media and entertainment, companies are leveraging innovative technologies to maintain a competitive edge. A recent focus has been on the transformative potential of generative AI, as discussed in a webinar titled “Maximizing Transformation with Generative AI in Media and Entertainment.” This session brought together industry leaders to explore how generative AI can help meet the increasing demand for content, while also reducing production costs and enhancing audience experiences.

Generative AI in Media and Entertainment

The media and entertainment sectors are under pressure to produce more content at a faster rate, without compromising on quality or engaging storytelling. Generative AI offers a powerful tool to innovate content creation processes. By automating repetitive tasks and enhancing creative workflows, AI helps media companies focus more on strategic storytelling and audience engagement. The webinar highlighted how AI-driven solutions are being integrated into existing workflows to achieve these objectives.

Unlocking AI Capabilities with DataRobot

DataRobot, available on AWS Marketplace, provides a comprehensive platform to harness the power of generative AI. The architecture of the DataRobot AI Platform is designed to simplify the development and deployment of AI applications. Users can select Large Language Models (LLMs), test prompts, and evaluate models with ease. Furthermore, the platform supports advanced features like Retrieval Augmented Generation (RAG), LLM monitoring, and implementing guardrails to ensure AI applications are robust and reliable.

This streamlined user experience empowers businesses to quickly prototype and deploy AI solutions tailored to their unique needs. By integrating these capabilities into their workflows, media and entertainment companies can drive innovation and efficiency, ultimately delivering richer and more personalized content to their audiences.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance in implementing generative AI solutions within media and entertainment companies. Our team can assist in integrating DataRobot and other AI tools available on AWS Marketplace, ensuring seamless integration and maximum value. With our expertise, companies can enhance their content creation processes, reduce costs, and captivate audiences, staying ahead in a competitive market. Visit KeyCore to learn more about how we can support your AI transformation strategy.

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

AWS Completes CCCS PBHVA Assessment

Amazon Web Services (AWS) has successfully completed its first-ever Protected B High Value Assets (PBHVA) assessment with 149 services and features in scope. This milestone, effective as of October 4, 2024, positions AWS as the first cloud service provider to achieve this level of compliance. The completion of the PBHVA assessment demonstrates AWS’s commitment to expanding the scope of its assurance programs, ensuring enhanced security and compliance for its customers. By continually broadening their compliance coverage, AWS enables customers to confidently utilize a wide array of services while meeting stringent security standards.

2024 ISO and CSA STAR Certificates

In November 2024, AWS successfully completed a surveillance audit for several ISO standards and the Cloud Security Alliance (CSA) STAR certification. Notably, the audit resulted in no findings, showcasing AWS’s adherence to quality management and information security standards. The updated certificates include ISO 9001:2015, 27001:2022, and more, along with the CSA STAR Cloud Controls Matrix (CCM) v4.0. These certifications reflect AWS’s ongoing commitment to maintaining high standards of security and compliance, providing assurance to customers of their robust security practices.

Updated PCI DSS and PCI PIN Compliance Packages

AWS has announced enhancements to its Payment Card Industry (PCI) compliance offerings, including updates to the AWS PCI DSS v4 Attestation of Compliance (AOC). These enhancements aim to simplify the process for customers to build and manage secure and compliant payment environments on AWS. By incorporating updated compliance packages, AWS continues to provide customers with the tools and guidance necessary to meet industry standards and protect sensitive payment card data effectively.

Fall 2024 SOC Reports Available

The Fall 2024 System and Organization Controls (SOC) 1, 2, and 3 reports from AWS are now available, covering 183 services over a 12-month period. These reports are an integral part of AWS’s assurance programs, offering detailed insights into the controls in place to protect customer data. By expanding the scope of these reports, AWS ensures that customers can access comprehensive information about the security and compliance measures implemented across a vast array of services.

AWS Named Leader in ISG Provider Lens Report

For the second consecutive year, AWS has been recognized as a Leader in the 2024 ISG Provider Lens report for Sovereign Cloud Infrastructure Services in the EU. This recognition underscores AWS’s capability to deliver strong sovereign cloud services that meet the unique requirements of European customers. As a trusted business partner, ISG highlights AWS’s ability to provide secure and compliant cloud infrastructure, further cementing AWS’s position as a leading cloud service provider in the region.

Enforce Resource Configuration with AWS

Security administrators can leverage AWS to enforce resource configurations, enhancing security and governance posture. This approach focuses on feature gating, ensuring that access to new features is controlled and compliant with organizational policies. By adopting AWS’s scalable solutions, enterprises can maintain a robust security framework, aligning with best practices and regulatory requirements while managing access to cloud resources efficiently.

AWS KMS: Essential Key Management

Effective data security in the cloud hinges on robust encryption practices, and AWS Key Management Service (AWS KMS) plays a pivotal role in managing encryption keys. As organizations navigate their cloud journeys, understanding how many keys are necessary is crucial for balancing security and operational efficiency. AWS KMS provides a reliable foundation for encryption key management, helping organizations protect sensitive data, maintain compliance, and secure customer information and intellectual property.

How KeyCore Can Help

KeyCore offers expert guidance and services to help organizations navigate AWS’s complex security, compliance, and governance landscape. Whether you’re seeking to enhance your compliance posture with PBHVA, ISO, or PCI standards, or looking to optimize your use of AWS KMS for encryption key management, KeyCore’s team of AWS specialists can provide tailored solutions. By partnering with KeyCore, customers can leverage deep expertise in AWS services to achieve their security and compliance goals, ensuring the protection of sensitive data and aligning with industry best practices. Visit KeyCore to learn more about our offerings and how we can support your AWS initiatives.

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Front-End Web & Mobile

AWS Amplify Hosting has introduced a new feature that allows developers to enhance the security of their web applications by integrating Web Application Firewall (WAF) capabilities. This feature, currently in public preview, enables developers to directly connect a Web Access Control List (ACL) to their applications hosted on AWS Amplify. By doing so, developers can create rules to filter and monitor HTTP traffic, adding a robust layer of protection against common web threats such as SQL injection, cross-site scripting (XSS), and other vulnerabilities.

Enhanced Security for Amplify Applications

The integration of AWS WAF with Amplify Hosting provides a significant step forward for developers looking to secure their applications. The WAF helps in mitigating malicious attempts to exploit application vulnerabilities. By using a Web ACL, developers can specify conditions under which traffic should be blocked or allowed, thereby, enhancing control over what kind of traffic can reach their application.

Business Value of WAF Integration

This feature is particularly valuable for businesses looking to safeguard their applications without the need for extensive security infrastructure. The ability to directly integrate a WAF through AWS Amplify simplifies the security management process and can reduce the risk of financial loss due to compromised data or application downtime. It is an efficient solution for organizations aiming to maintain high levels of security while focusing on core business activities.

How KeyCore Can Assist

At KeyCore, we specialize in optimizing AWS services for our clients. We can assist in the seamless implementation of the AWS WAF with Amplify Hosting, ensuring that your web applications are protected against the latest threats. Our expertise in AWS services allows us to tailor security solutions that align with your business needs, providing both professional and managed services to enhance your application’s security posture. Visit our website to learn more about how we can support your AWS projects.

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AWS Contact Center

As traditional resource-intensive interactive voice response (IVR) systems reach the end of their lifecycle, contact centers have the chance to transform these complex and sometimes cumbersome systems. Modernizing IVR solutions can significantly enhance customer experience (CX) by streamlining processes and improving interaction efficiency.

Amazon Web Services (AWS) offers solutions to revolutionize CX by integrating advanced technologies within IVR systems. These solutions involve leveraging AI and machine learning to provide more intuitive and responsive interactions that surpass traditional capabilities. AWS enables contact centers to adopt modern IVR systems that are flexible, scalable, and capable of providing personalized customer service.

At the forefront of this transformation, AWS partners, such as Connect, help organizations implement cutting-edge IVR solutions that improve customer satisfaction and reduce operational costs. AWS’s partner ecosystem plays a crucial role in deploying technology that meets the evolving demands of customers while maintaining operational excellence.

By utilizing AWS’s efficient cloud infrastructure, organizations can significantly reduce the carbon footprint of their contact center operations. AWS’s commitment to sustainability is evident in its use of renewable energy sources and resource optimization strategies. This approach not only supports organizations in achieving their sustainability goals but also contributes to reducing global environmental impact.

Amazon Connect, AWS’s cloud-based contact center service, is designed to operate efficiently, thereby reducing energy consumption and waste. The service allows organizations to scale their operations dynamically, ensuring they only use the resources necessary at any given time. This flexibility is vital for maintaining both operational efficiency and environmental responsibility.

AWS re:Invent 2024 showcased numerous innovations and success stories related to Amazon Connect. Organizations from various industries shared their experiences of leveraging AWS and AI to transform their customer experience strategies. These transformations have led to significant business outcomes, demonstrating the power of cloud and AI technologies in modernizing customer interaction.

The announcements at AWS re:Invent 2024 emphasized Amazon Connect’s role in enabling organizations to enhance their contact center operations. These enhancements facilitate improved service delivery and customer satisfaction while driving business growth. AWS continues to innovate, providing tools and resources that empower organizations to stay ahead in a competitive marketplace.

KeyCore, as a leading AWS consultancy in Denmark, is well-equipped to help organizations modernize their contact center operations. With expertise in AWS technologies and a deep understanding of business needs, KeyCore can guide companies through the implementation of advanced IVR solutions and sustainable contact center practices.

KeyCore offers both professional services and managed services to assist organizations in maximizing their AWS investments. From strategy development to deployment and optimization, KeyCore ensures that businesses leverage AWS’s full potential to achieve their customer experience goals while maintaining operational efficiency and sustainability.

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Innovating in the Public Sector

Aligning Cloud Adoption with Business Outcomes

Part two of the series on Cloud Center of Excellence (CCoE) explores how cloud adoption aligns with business outcomes, organizational capabilities, and governance. Utilizing the AWS Cloud Adoption Framework (AWS CAF), the series highlights the importance of addressing not only technical but also business, organizational, and governance perspectives for successful digital transformation. This comprehensive approach ensures a seamless transition to cloud environments, facilitating innovation and efficiency within public sector entities.

Transforming Financial Markets with AWS

FIA Tech revolutionized the exchange-traded derivatives industry by building the Trade Data Network (TDN) on AWS. This shared ledger enhances transparency and reduces fragmentation in post-trade processing, benefiting 17 banks and brokers alongside 40 investment managers and hedge funds managing over $34 trillion in assets. AWS provides the scalability and security required to support such expansive data ecosystems, thereby driving innovation in financial markets.

AI Image Generation with Amazon Lightsail for Research

Amazon Lightsail for Research enables the deployment of AI image generation models using open-source software. The platform offers a simplified console for deploying GPU instances, setting up cost control rules, and managing network access. This solution empowers researchers to efficiently execute AI projects, optimizing cost and resource allocation.

Complying with NIH Genomic Data Sharing Policies on AWS

The updated NIH guidelines align with NIST SP 800-171 standards, enhancing genomic data security. AWS supports organizations in creating compliant environments to manage Controlled Unclassified Information (CUI), ensuring data governance and security in handling genomic data repositories.

Modernizing Student Communications at Dallas College

Dallas College leveraged AWS to modernize its call center, enhancing communication with an expanding student body. This modernization reflects a commitment to providing efficient, scalable services that meet the needs of the community and support the college’s educational mission.

Extracting Insights from PubMed Articles with Amazon Q Business

Amazon Q Business facilitates the analysis of vast biomedical literature in PubMed Central (PMC), streamlining insight extraction from extensive data repositories. This service accelerates scientific progress by providing valuable insights for evidence-based practices and innovations in the biomedical field.

Addressing Unstructured Data Challenges with Generative AI

The Mercatus Center implemented a generative AI solution using AWS to enhance access to economic policy documents. Their platform, QuantGov, utilizes AWS technology to provide scalable, accurate data access, aiding policymakers in crafting informed public policies.

Driving Digital Health Innovation at the World Health Summit

The World Health Summit 2024 showcased AWS’s role in transforming global healthcare through technology. With participation from over 140 countries, the summit emphasized AWS’s commitment to addressing health inequities and improving patient outcomes using innovative solutions.

Data Security Best Practices During the Holidays

Organizations using AWS can enhance their security posture during the holiday season by following best practices for continuous monitoring and governance. These strategies are crucial for maintaining data security and resilience amidst increased cybersecurity risks.

AWS Skills to Jobs Tech Alliance Program in Brazil

In Brazil, AWS launched the Skills to Jobs Tech Alliance program to align educational qualifications with technology job market requirements. This initiative connects students with employment opportunities, promoting workforce readiness in the evolving tech landscape.

Reimagining Unemployment Contact Centers with AI

AI and automation can transform unemployment contact centers by reducing call volume and improving self-service. These technologies enable agencies to scale operations, maintain service levels, and effectively respond to surges in demand, enhancing constituent support.

Unlocking Healthcare Data with Amazon Q Business

Amazon Q Business leverages generative AI to unlock vast amounts of unstructured healthcare data, facilitating improved patient care and clinical efficiency. This innovative solution utilizes AWS capabilities to transform healthcare data into actionable insights, driving better clinical outcomes.

How KeyCore Can Help

KeyCore, a leading AWS consultancy, specializes in helping public sector organizations leverage AWS’s advanced capabilities. Whether it’s aligning cloud adoption with business goals, transforming financial markets, or enhancing healthcare data usage, KeyCore provides the expertise needed to navigate and optimize AWS solutions. By partnering with KeyCore, organizations can ensure successful implementation and management of AWS technologies, driving innovation and effectiveness in their operations.

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