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Keynote highlights from Dr. Werner Vogels: Managing Complexity with Simplicity
2024-12-06 15:34:32| The Webmail Blog
Keynote highlights from Dr. Werner Vogels: Managing Complexity with Simplicity juli0507 Fri, 12/06/2024 - 08:34 Keynote highlights from Dr. Werner Vogels: Managing Complexity with Simplicity December 6, 2024 by Michael Bordash, Principal Cloud Practice Architect, AWS COE Leader, Rackspace Technology Dr. Werner Vogels, VP and CTO at Amazon.com, took the stage at AWS re:Invent to deliver a keynote packed with invaluable insights. While all the keynotes were insightful, Dr. Vogels' presentations stand out for their practical, immediately actionable strategies that directly impact how we at Rackspace Technology deliver greater value to our customers. Celebrating 20 years at Amazon, Dr. Vogels innovations have been nothing short of remarkable. Reflecting on the four key themes from his first re:Invent 13 years ago, he showed how theyve stood the test of time, demonstrating exceptional foresight into the growing complexity of cloud computing. Hearing him describe how AWS services, like Amazon S3, have evolved in both complexity and simplicity highlighted Amazon's unwavering commitment to enhancing the customer experience. Managing complexity: the key to success in cloud computing This years theme, managing complexity or as Werner described it, "Simplexity" really resonated with me. At Rackspace Technology, were a leading multicloud service provider, helping thousands of customers manage complexity every day. As Werner stated, complexity is inevitable, but not all complexity is created equal. Intended complexity the complexity we build into systems intentionally is unavoidable. However, the unintended complexity that creeps in can make systems difficult to manage. This is where partnering with a company like Rackspace Technology can make all the difference. Guiding customers through their unique cloud journey At Rackspace Technology, we specialize in guiding customers through their unique cloud journeys. We understand that no two cloud journeys are the same, which is why we emphasize the importance of customizing each journey to meet specific needs and avoid unintended complexity. By implementing best practices, leveraging proven architectures, and utilizing solution accelerators, we help our customers drive business value quickly while minimizing risks and reducing complexity. This tailored approach helps to ensure that every cloud journey is rewarding from the start. Designing for scale: limiting complexity until it's needed As Canva discussed in their customer segment, designing for scale from the outset and limiting complexity until its needed is the ideal strategy. However, many customers find themselves with complex systems already in place. Thats where Rackspace Technology comes in weve spent years helping customers simplify and streamline existing complex processes, building automation that re-accelerates velocity and drives further innovation. Rackspace Elastic Engineering: a solution designed for simplicity and scale One of the most exciting innovations we offer is Rackspace Elastic Engineering, a service designed with the principles of simplexity at its core. Each Rackspace Elastic Engineering team is organized into pods, following the two-pizza team model made famous by Amazon. These dedicated cloud engineers focus relentlessly on automation, striving to make processes as efficient as possible. While we often joke that were trying to automate ourselves out of a job, the reality is that theres always room for improvement. The job never ends, and we are always evolving our customers' cloud environments to ensure they remain competitive and innovative. Learn more about how Rackspace Elastic Engineering can help you manage cloud complexity here. Innovation and partnership: thriving in complexity The innovations AWS introduces year after year are nothing short of breathtaking, and this years re:Invent was no exception. As AWS continues to raise the bar with new services like Amazon Aurora DSQL, its clear that simplifying distributed systems and navigating the growing cloud landscape is becoming increasingly challenging. Thats why its critical to partner with the right provider. AWSs cutting-edge innovations combined with Rackspace Technology services and expertise, can help customers thrive in complexity, turning challenges into opportunities for growth. At Rackspace Technology, were proud to partner with AWS to help customers along their cloud journey, harnessing the complexity of cloud computing and accelerate delivering business value. Visit our AWS Marketplace profile to explore AWS services available to your organization. And to learn more about our participation at AWS re:Invent, be sure to check out our blog posts covering the keynotes from Peter DeSantis, Matt Garman, Dr. Swami Sivasubramanian, and Dr. Ruba Borno. Recent Posts Keynote highlights from Dr. Werner Vogels: Managing Complexity with Simplicity December 6th, 2024 The Power of Partnerships: Dr. Ruba Bornos 2024 AWS re:Invent Partner Keynote December 5th, 2024 Key Highlights from AWS re:Invent 2024: Dr. Swami Sivasubramanians Vision for Gen AI December 5th, 2024 Key Highlights from AWS re:Invent 2024: CEO Keynote with Matt Garman December 4th, 2024 Highlights from Monday Night Live: Embracing the How of AWS Innovations December 4th, 2024 Links Blog Home Solve: Thought Leadership Newsroom Investor Relations Media Kit
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The Power of Partnerships: Dr. Ruba Bornos 2024 AWS re:Invent Partner Keynote
2024-12-06 00:49:20| The Webmail Blog
The Power of Partnerships: Dr. Ruba Bornos 2024 AWS re:Invent Partner Keynote edua3910 Thu, 12/05/2024 - 17:49 The Power of Partnerships: Dr. Ruba Bornos 2024 AWS re:Invent Partner Keynote December 5, 2024 by Matthew Juliana, Senior Manager, Solution Architecture, Rackspace Technology The cloud has revolutionized how businesses operate, and partnerships are essential to fully realize its potential. At AWS re:Invent 2024, Dr. Ruba Borno, AWS VP of Global Specialists & Partners, delivered an insightful keynote, using the analogy of a symphony to emphasize the power of seamless collaboration between AWS and its partners. She highlighted new AWS partner competencies, advancements in the AWS Marketplace, and the pivotal role partners play in driving migration and modernization efforts. AWS partners play a crucial role in crafting solutions that address customers' unique needs, much like the instruments in a symphony playing in harmony. The AWS Marketplace amplifies the reach of these tailored solutions, making them easily discoverable by customers. Through continuous collaboration, AWS and its partners maintain a fast pace of innovation to meet evolving demands. AWS acts as the conductor, coordinating with partners to deliver integrated solutions that complement AWS services and one another. Together, AWS and its partner network can solve a broader range of customer challenges with greater depth and flexibility than any single provider could offer. This harmonious collaboration between AWS and its partners creates impactful, customized solutions for customers. New partner competencies drive success in emerging technologies Borno introduced several new partner competencies and specializations designed to help customers identify partners with expertise in key emerging technologies. Several of the key competencies introduced focused on high-demand areas such as AI security, digital sovereignty and security data management. These new competencies are a direct response to the increasing complexity of technology landscapes. Heres a short list: AWS AI Security Specialization: This certification within the AWS Security Competency identifies partners with proven skills in securing AI environments and defending AI workloads AWS Digital Sovereignty Competency: Validates partners who can meet sovereignty and compliance requirements, particularly for public sector and regulated industries, focusing on data residency, access control, and resilience Amazon Security Lake Service Ready Competency: Recognizes partners who have integrated their solutions with Amazon Security Lake, helping customers streamline security data management AWS Security Incident Response Service Specialty: Equips partners to provide comprehensive incident response services, enabling effective security incident management and mitigation These competencies demonstrate AWSs commitment to connecting customers with validated experts in cutting-edge fields such as AI security, digital sovereignty, and security analytics. By building a robust partner ecosystem in emerging technologies, AWS is helping accelerate both cloud migration and the modernization of legacy applications. New AWS Marketplace features streamline software purchasing Borno also announced that Buy with AWS, a new feature for the AWS Marketplace, is now in general availability. This capability allows partners to embed AWS Marketplace checkout functionality directly on their websites and apps. With a single click, customers can access the AWS Marketplace, search for software and complete purchases all while using their existing AWS account for billing and user management. Partners also gain access to a dedicated dashboard to track engagement metrics such as site visits, browsing time and transactions initiated. We learned that AWS Marketplace now supports local currencies for transactions, benefiting software sellers worldwide. Previously, all AWS Marketplace payments were made in U.S. dollars, which often led to unpredictable foreign exchange costs for international vendors. Now, sellers can receive payments in Euros, Yen, Pounds, and Australian dollars, in addition to U.S. dollars. This change eliminates foreign exchange risks and allows for direct deposits into local bank accounts. By expanding the accepted currencies, AWS Marketplace reduces friction and uncertainty around payments for both overseas partners and U.S.-based partners who transact internationally. Enabling local currency transactions makes it easier for more partners worldwide to do business on AWS Marketplace while improving the experience for customers. The importance of modernization alongside migration Borno emphasized that migration alone doesnt unlock the full power of the cloud. While moving workloads to AWS is a crucial first step, modernizing those applications is key to staying ahead of the innovation curve. Migration gets workloads onto AWS, but modernization optimizes them, enabling businesses to fully leverage cloud capabilities and drive innovation. To accelerate application modernization, AWS introduced Amazon Q Developer Transform. This service offers an automated solution for modernizing legacy .NET, Java, mainframe and other workloads. By automating the process, Amazon Q Developer Transform reduces the manual effort and costs associated with modernization, helping customers quickly modernize complex applications and unlock the full potential of cloud infrastructure. Borno also highlighted that AWS expanded incentives under the Migration Acceleration Program (MAP) to encourage partners to think bigger. The incentives for modernization partners were restructured to provide more funding support for larger, more strategic modernization projects. By removing previous funding caps, AWS enables partners to access more financial assistance to modernize complex, business-critical workloads. Expanding the impact of generative AI innovation Guest speaker Francessca Vasquez, VP of Professional Services and the Generative AI Innovation Center at AWS, highlighted the center's mission to help customers design and scale generative AI solutions. Through its work, AWS has gained valuable insights into successfully transitioning generative AI from pilot projects to full production. AWS is working with partners around the world, including Rackspace Technology, to expand the reach of the Generative AI Innovation Center. Moving forward together The 2024 AWS re:Invent partner keynote underscored the incrediblepotential of the AWS partner network to drive innovation and transform industries worldwide. Exciting announcements like new competencies, AWS Marketplace enhancements and expanded modernization incentives reflect AWSs ongoing commitment to simplifying partner collaboration and accelerating customer success. Through the AWS Professional Services Partner Collective, which includes Rackspace Technology, AWS strengthens relationships, gathers diverse perspectives, and enhances the ability to deliver exceptional customer experiences. When AWS and its partners work in harmony, they amplify value and provide integrated solutions that help customers innovate faster and more effectively. Visit our AWS Marketplace profile to learn more about how we can help you unlock the future of cloud computing and AI with AWS. Recent Posts The Power of Partnerships: Dr. Ruba Bornos 2024 AWS re:Invent Partner Keynote December 5th, 2024 Key Highlights from AWS re:Invent 2024: Dr. Swami Sivasubramanians Vision for Gen AI December 5th, 2024 Key Highlights from AWS re:Invent 2024: CEO Keynote with Matt Garman December 4th, 2024 Highlights from Monday Night Live: Embracing the How of AWS Innovations December 4th, 2024 UK Financial Services Prepare for January 2025 DORA Implementation November 1st, 2024 Links Blog Home Solve: Thought Leadership Newsroom Investor Relations Media Kit
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Key Highlights from AWS re:Invent 2024: Dr. Swami Sivasubramanians Vision for Gen AI
2024-12-05 18:11:54| The Webmail Blog
Key Highlights from AWS re:Invent 2024: Dr. Swami Sivasubramanians Vision for Gen AI juli0507 Thu, 12/05/2024 - 11:11 Key Highlights from AWS re:Invent 2024: Dr. Swami Sivasubramanians Vision for Gen AI December 5, 2024 by Paul Jeyasingh, Head of Presales (US), Data Analytics and Gen AI, Rackspace Technology Dr. Swami Sivasubramanians keynote was one of the most anticipated sessions at AWS re:Invent 2024, drawing thousands of ML and generative AI enthusiasts. In his address, Sivasubramanian unveiled a host of new features and updates designed to accelerate the generative AI journey. Central to this effort is Amazon SageMaker, which simplifies the machine learning (ML) lifecycle by integrating data preparation, model training, deployment and observability into a unified platform. Over the past year, SageMaker has introduced over 140 new capabilities to enhance ML workflows, and Sivasubramanian highlighted groundbreaking updates to HyperPod and the ability to deploy partner AI apps seamlessly within SageMaker. HyperPod plans simplify LLM training Companies that are building their own LLMs need massive infrastructure capacity. Procuring this infrastructure and reserving hardware at such scale takes considerable time. Thats why we love HyperPod training plans theyre a game-changer for streamlining the model training process. These plans enable teams to quickly create a training plan that automatically reserves the required capacity. HyperPod sets up a cluster, initiates model training jobs and can save data science teams weeks in the training process. Built on EC2 capacity blocks, HyperPod creates optimal training plans tailored to specific timelines and budgets. HyperPod also provides individual time slices and available AZs to accelerate model readiness through efficient checkpointing and resuming. It automatically handles instance interruptions, allowing training to continue seamlessly without manual intervention. HyperPod task governance improves resource efficiency HyperPod task governance helps companies maximize compute resource utilization such as accelerators by automating the prioritization and management of model training, fine-tuning and inference tasks. With task governance, companies can set resource limits by team or project while monitoring utilization to ensure efficiency. This capability can help reduce infrastructure costs, potentially by up to 40%, according to AWS. Partner AI apps enhance SageMakers capabilities One of the standout updates shared during the keynote was the ability to deploy partner AI applications directly within Amazon SageMaker. This new feature streamlines the model deployment lifecycle, providing a fully managed experience with no infrastructure to provision or operate. It also leverages SageMakers robust security and privacy features. Among the available applications are Comet, Deepchecks, Fiddler and Lakera, each offering unique value to accelerate machine learning workflows. Amazon Nova LLMs bring versatility to Bedrock During his keynote, Sivasubramanian introduced Amazon Nova, a groundbreaking family of large language models (LLMs) designed to expand the capabilities of Amazon Bedrock. Each model is tailored to specific generative AI use cases, with highlights including: Amazon Nova Micro: A text-only model optimized for ultra-low-latency responses at minimal cost Amazon Nova Lite: A multimodal model delivering low-latency processing for image, video, and text inputs at a very low cost Amazon Nova Pro: A versatile multimodal model balancing accuracy, speed, and cost for diverse tasks Amazon Nova Premier: The most advanced model, built for complex reasoning and serving as the best teacher for distilling custom models (available Q1 2025) Amazon Nova Canvas: A cutting-edge model specialized in image generation Amazon Nova Reel: A state-of-the-art model for video generation These Nova models reflect AWS's commitment to addressing the diverse needs of developers and enterprises, delivering tools that combine cost-efficiency with advanced capabilities to fuel innovation across industries. Poolside Assistant expands software development workflows Another standout announcement from the keynote was AWSs collaboration with Poolside Assistant, a startup specializing in software development workflows. Powered by Malibu and Point models, it excels at tasks like code generation, testing and documentation. AWS is the first cloud provider to offer access to this assistant, expected to launch soon. Stability.ai Stable Diffusion 3.5 advances text-to-image generation Stability.ais Stable Diffusion 3.5 model, trained on Amazon SageMaker HyperPod, is coming soon to Amazon Bedrock. This advanced text-to-image model, the most powerful in the Stable Diffusion family, opens new possibilities for creative and technical applications. Luma AI introduces high-quality video generation with RAY2 Luma AIs RAY2 model, arriving soon in Amazon Bedrock, enables high-quality video generation with support for text-to-video, image-to-video and video-to-video capabilities. Amazon Bedrock Marketplace simplifies model discovery The Amazon Bedrock Marketplace offers a single catalog of over 100 foundation models, enabling developers to discover, test and deploy models on managed endpoints. Integrated tools like Agents and Guardrails make it easier to build and manage AI applications. Amazon Bedrock Model Distillation enhances efficiency Model Distillation in Amazon Bedrock simplifies the transfer of knowledge from large, accurate models to smaller, more efficient ones. These distilled models are up to 500% faster and 75% less expensive than their original counterparts, with less than 2% accuracy loss for tasks like Retrieval-Augmented Generation (RAG). This feature allows businesses to deploy cost-effective models without sacrificing use-case-specific accuracy. Amazon Bedrock Latency Optimized Inference accelerates responsiveness Latency Optimized Inference significantly improves response times for AI applications without compromising accuracy. This enhancement requires no additional setup or fine-tuning, enabling businesses to immediately boost application responsiveness. Amazon Bedrock Intelligent Prompt Routing optimizes AI performance Intelligent Prompt Routing selects the best foundation model from the same family for each request, balancing quality and cost. This capability is ideal for applications like customer service, routing simple querie to faster, cost-effective models and complex ones to more capable models. By tailoring model selection, businesses can reduce costs by up to 30% without compromising accuracy. Amazon Bedrock introduces prompt caching A standout feature announced during the keynote was prompt caching in Amazon Bedrock, which allows frequently used context to be retained across multiple model invocations for up to five minutes. This is especially useful for document Q&A systems or coding assistants that need consistent context retention. Prompt caching can reduce costs by up to 90% and latency by up to 85% for supported models. Amazon Kendra Generative AI Index enhances data retrieval The new Amazon Kendra Generative AI Index provides a managed retriever for Retrieval-Augmented Generation (RAG) and Bedrock, with connectors to 43 enterprise data sources. This feature integrates with Bedrock knowledge bases, enabling users to build generative AI-powered assistance with agents, prompt flows and guardrails. Its also compatible with Amazon Q business applications. Structured data retrieval in Bedrock Knowledge Bases One of the most requested features, structured data retrieval, is now available in Bedrock Knowledge Bases. Users can query data in Amazon Redshift, SageMaker Lakehouse and S3 tables with Iceberg support using natural language. The system transforms these queries into SQL, retrieving data directly without preprocessing. GraphRAG links relationships in knowledge bases Bedrock Knowledge Bases now support GraphRAG, combining RAG techniques with Knowledge Graphs to enhance generative AI applications. This addition improves accuracy and provides more comprehensive responses by linking relationships across data sources. Amazon Bedrock Data Automation streamlines workflows Amazon Bedrock Data Automation enables the quick creation of workflows for intelligent document processing (IDP), media analysis and RAG. This feature can extract and analyze multimodal data, offering insights like video summaries, detection of inappropriate image content and automated document analysis. Multimodal data processing in Bedrock Knowledge Bases To support applications handling both text and visual data, Bedrock Knowledge Bases now process multimodal data. Users can configure the system to parse documents using Bedrock Data Automation or a foundation model. This improves the accuracy and relevancy of responses by incorporating information from text and images. Guardrails expand to multimodal toxicity detection Another exciting update is multimodal toxicity detection in Bedrock Guardrails. This feature extends safeguards to image data, and should help companies build more secure generative AI applications. It prevents interaction with toxic content, including hate, violence and misconduct, and is available for all Bedrock models that support image data. Harnessing these innovations in the future The keynote by Dr. Swami Sivasubramanian showcased numerous groundbreaking announcements that promise to transform the generative AI and machine learning landscape. While weve highlighted some of the most exciting updates, theres much more to explore. These innovations offer incredible potential to help businesses deliver impactful outcomes, create new revenue opportunities and achieve cost savings at scale. At Rackspace Technology, were excited to help organizations harness these advancements to optimize their data, AI, ML and generative AI strategies. Visit our Amazon Marketplace profile to learn more about how we can help you unlock the future of cloud computing and AI. For additional insights, view this webinar, Building the Foundation for Generative AI with Governance and LLMOps, which looks more closely at governance strategies and operational excellence for generative AI. Recent Posts Key Highlights from AWS re:Invent 2024: Dr. Swami Sivasubramanians Vision for Gen AI December 5th, 2024 Key Highlights from AWS re:Invent 2024: CEO Keynote with Matt Garman December 4th, 2024 Highlights from Monday Night Live: Embracing the How of AWS Innovations December 4th, 2024 UK Financial Services Prepare for January 2025 DORA Implementation November 1st, 2024 Dispelling Myths About Running OpenStack Clouds August 19th, 2024 Links Blog Home Solve: Thought Leadership Newsroom Investor Relations Media Kit
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