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data-eb-ce="" data-eb-c-scope="pdp-header" data-eb-d-scope="DIRECTORIES" data-eb-locale="en-US" data-eb-0a3124b3="" data-eb-ssr-ce="" data-eb-tpl-ns="awsmRT" data-eb-hydrated="pending"> <script type="application/json">{"data":{"items":[{"fields":{"hasSubnav":"0","heroCtaOne":"Get started with SageMaker","heroCtaOneUrl":"https://console.aws.amazon.com/datazone","freeTierURL":"https://aws.amazon.com/sagemaker-ai/","id":"product-detail-overview#hero-amazon-sagemaker-northstar","freeTierContent":"<p>Build, train, and deploy ML models with Amazon SageMaker AI (formerly Amazon SageMaker)</p>","headline":"Amazon SageMaker","subheading":"The next generation of Amazon SageMaker is the center for all your data, analytics, and AI ","breadcrumbs":"<ul> \n <li><a href=\"https://aws.amazon.com/products/\">Products</a></li> \n <li><a href=\"https://aws.amazon.com/big-data/datalakes-and-analytics/\">Analytics</a></li> \n <li><a href=\"#\">Amazon SageMaker</a></li> 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data-rg-n="BodyText" class="basetext_module_text__5cf43cbe bodytext_module_body__ca32720c breadcrumbs_module_carrot__cffb7a90 bodytext_module_size1__ca32720c">›</span></li> <li class="breadcrumbs_module_breadcrumbItem__cffb7a90"><a data-rg-n="Link" href="https://aws.amazon.com/big-data/datalakes-and-analytics/" data-rigel-analytics="{"name":"Link","properties":{"size":1}}" class="basetext_module_text__5cf43cbe bodytext_module_body__ca32720c link_module_link__f23c9474 breadcrumbs_module_link__cffb7a90 bodytext_module_size1__ca32720c bodytext_module_link__ca32720c">Analytics</a><span data-rg-n="BodyText" class="basetext_module_text__5cf43cbe bodytext_module_body__ca32720c breadcrumbs_module_carrot__cffb7a90 bodytext_module_size1__ca32720c">›</span></li> <li class="breadcrumbs_module_breadcrumbItem__cffb7a90"><span data-rg-n="BodyText" class="basetext_module_text__5cf43cbe bodytext_module_body__ca32720c bodytext_module_size1__ca32720c">Amazon SageMaker</span></li> </ul> </div> </div> <div data-rg-n="Grid" class="grid_module_grid__8fc83f0e" style="--rg-grid-gap:var(--rg-margin-3)"> <div data-rg-n="Col" class="col_module_col__66940a30 col_module_colXs12__66940a30 col_module_colS12__66940a30 col_module_colM10__66940a30 col_module_colL9__66940a30 col_module_colXl8__66940a30 col_module_colXxl8__66940a30"> <div class="hero_module_heroRibbon__94a7d415"> <a role="button" href="https://aws.amazon.com/sagemaker-ai/" data-rigel-analytics="{"name":"Ribbon"}" class="dropShadow_module_shadow__0e93b107 dropShadow_module_themed__0e93b107 dropShadow_module_onHover__0e93b107 dropShadow_module_pressable__0e93b107 ribbon_module_ribbon__1f92bb60" tabindex="0"> <div class="ribbon_module_ribbonContent__1f92bb60"> <span data-rg-n="UtilityText" class="basetext_module_text__5cf43cbe utilitytext_module_utility__9ef276a8 utilitytext_module_size3__9ef276a8 utilitytext_module_fixed__9ef276a8">Build, train, and deploy ML models with Amazon SageMaker AI (formerly Amazon SageMaker) </span> <span class="icon_module_icon__31e1c712 icon_module_sizeS__31e1c712"> <svg role="presentation" xmlns="http://www.w3.org/2000/svg" viewbox="0 0 16 16"> <path d="M15.5 8C15.5 8.29 15.38 8.56 15.16 8.75L7.16 15.75L5.84 14.24L11.84 8.99H0.5V6.99H11.84L5.84 1.76L7.16 0.25L15.16 7.25C15.38 7.44 15.5 7.71 15.5 8Z" data-type="fill"></path> </svg></span> </div></a> </div> <h1 data-rg-n="HeadingText" class="basetext_module_text__5cf43cbe basetext_module_block__5cf43cbe headingtext_module_heading__00ee2f90 headingtext_module_size1__00ee2f90">Amazon SageMaker</h1> <h4 data-rg-n="SubheadingText" class="basetext_module_text__5cf43cbe basetext_module_block__5cf43cbe subheadingtext_module_subheading__99e66897 hero_module_heroSubheading__94a7d415 subheadingtext_module_size1__99e66897">The next generation of Amazon SageMaker is the center for all your data, analytics, and AI </h4> <div class="hero_module_heroButtons__94a7d415"> <div class="hero_module_heroButton__94a7d415"> <a role="button" href="https://console.aws.amazon.com/datazone" rel="noopener noreferrer" target="_blank" data-rigel-analytics="{"name":"Button","properties":{"variant":"primary"}}" class="dropShadow_module_shadow__0e93b107 dropShadow_module_themed__0e93b107 dropShadow_module_onHover__0e93b107 dropShadow_module_pressable__0e93b107 buttonbase_module_buttonBase__efa86cab buttonbase_module_primary__efa86cab button_module_button__f561bac2"><span data-rg-n="UtilityText" class="basetext_module_text__5cf43cbe basetext_module_center__5cf43cbe utilitytext_module_utility__9ef276a8 button_module_content__f561bac2 utilitytext_module_size3__9ef276a8">Get started with SageMaker</span></a> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="lb-mbox js-mbox" data-lb-comp="mbox" data-lb-comp-ignore="true" data-mbox="en_sagemaker-ignite-summary-test"> </div> <div data-eb-slot="introduction" data-eb-slot-meta="{'version':'1.0','slotId':'introduction','experienceId':'49b9c725-36e2-4908-86d9-b64cc9f56589','allowBlank':false,'hasAltExp':false,'isRTR':false,'filters':{'limit':1,'query':'id \u003d \'sagemaker-northstar-overview\''}}"> <div data-eb-tpl-n="awsm-rt/rt-text-media-collection" data-eb-tpl-v="1.2.0" data-eb-ce="" data-eb-c-scope="introduction" data-eb-d-scope="DIRECTORIES" data-eb-locale="en-US" data-eb-7170ec75="" data-eb-ssr-ce="" data-eb-tpl-ns="awsmRT" data-eb-hydrated="pending"> <script type="application/json">{"data":{"items":[{"fields":{"dark":"0","bodyContent":"<p>Bringing together widely adopted AWS machine learning (ML) and analytics capabilities, Amazon SageMaker delivers an integrated experience for analytics and AI with unified access to all your data. 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Collaborate and build faster from a unified studio (preview) using familiar AWS tools for model development, generative AI, data processing, and SQL analytics, accelerated by Amazon Q Developer, the most capable generative AI assistant for software development. Access all your data whether it’s stored in data lakes, data warehouses, or third-party or federated data sources, with governance built in to meet enterprise security needs.</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div data-eb-slot="benefits-amazon-sagemaker-northstar" data-eb-slot-meta="{'version':'1.0','slotId':'benefits-amazon-sagemaker-northstar','experienceId':'5b0041ec-5bf3-11ee-8c99-0242ac120002','allowBlank':false,'hasAltExp':false,'isRTR':false,'filters':{'limit':10,'query':'(id \u003d \'sagemaker-northstar-benefits-overview\' OR id \u003d \'sagemaker-northstar-benefits-1\' OR id \u003d \'sagemaker-northstar-benefits-2\' OR id \u003d \'sagemaker-northstar-benefits-3\' OR id \u003d \'sagemaker-northstar-benefits-4\')'}}"> <div data-eb-tpl-n="awsm-rt/rt-qa-sampler" data-eb-tpl-v="1.0.0" data-eb-ce="" data-eb-c-scope="benefits-amazon-sagemaker-northstar" data-eb-d-scope="DIRECTORIES" data-eb-locale="en-US" data-eb-d9d0c036="" data-eb-ssr-ce="" data-eb-tpl-ns="awsmRT" data-eb-hydrated="pending"> <script type="application/json">{"data":{"items":[{"fields":{"patternInlineHeading":"0","benefitTitle":"Collaborate and build faster with a single data and AI development environment","id":"product-benefits#sagemaker-northstar-benefits-1","customSortOrder":"1","benefitContent":"Amazon SageMaker Unified Studio (preview) provides an integrated experience to use all your data and tools for analytics and AI. 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Discover your data and put it to work using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. Work across compute resources using unified notebooks, discover and query diverse data sources with a built-in SQL editor, train and deploy AI models at scale, and rapidly build custom generative AI applications. Create and securely share analytics and AI artifacts such as data, models, and generative AI applications to bring data products to market faster. </div> </div> </div> </div> <div class="itemExpander_module_expandableSection__e56d1e98" data-eb-item-id="1"> <div class="itemExpander_module_expandableSectionHeader__e56d1e98 qaSampler_module_qaSamplerExpanderHeader__b180ba78" id="1-trigger" aria-controls="content-1" aria-expanded="false" tabindex="0" role="button" data-rigel-analytics="{"name":"ItemExpander","properties":{"expanded":false}}"> <h3 data-rg-n="TitleText" class="basetext_module_text__5cf43cbe titletext_module_title__e23b0698 qaSampler_module_qaSamplerTitle__b180ba78 titletext_module_size4__e23b0698">Develop and scale AI use cases with a broad set of tools</h3> <div class="itemExpander_module_expandableSectionHeaderTrigger__e56d1e98" aria-hidden="true"> <span class="icon_module_icon__31e1c712 icon_module_sizeS__31e1c712"> <svg role="presentation" xmlns="http://www.w3.org/2000/svg" viewbox="0 0 16 16"> <path d="M16 9H9V16H7V9H0V7H7V0H9V7H16V9Z" data-type="fill"></path> </svg></span> </div> </div> <div id="content-1" aria-labelledby="1-trigger" class="itemExpander_module_expandableSectionContent__e56d1e98"> <div class="itemExpander_module_expandableSectionContentWrapper__e56d1e98"> <div data-rg-n="BodyText" class="basetext_module_text__5cf43cbe bodytext_module_body__ca32720c qaSampler_module_qaSamplerContent__b180ba78 bodytext_module_size1__ca32720c"> Accelerate AI in SageMaker with a comprehensive set of AI development capabilities that are secure by design. Train, customize, and deploy ML and foundation models (FMs) on a highly performant and cost-effective infrastructure. Use purpose-built tools spanning the entire AI lifecycle— from high-performance integrated development environments (IDEs) and distributed training to inference, AI ops, governance, and observability. Rapidly create generative AI applications tailored to your business with cutting-edge models and your proprietary data. Speed up AI development with Amazon Q Developer, helping you more easily discover data, build and train ML models, generate SQL queries, and create and run data pipeline jobs, all through natural language. </div> </div> </div> </div> <div class="itemExpander_module_expandableSection__e56d1e98" data-eb-item-id="2"> <div class="itemExpander_module_expandableSectionHeader__e56d1e98 qaSampler_module_qaSamplerExpanderHeader__b180ba78" id="2-trigger" aria-controls="content-2" aria-expanded="false" tabindex="0" role="button" data-rigel-analytics="{"name":"ItemExpander","properties":{"expanded":false}}"> <h3 data-rg-n="TitleText" class="basetext_module_text__5cf43cbe titletext_module_title__e23b0698 qaSampler_module_qaSamplerTitle__b180ba78 titletext_module_size4__e23b0698">Reduce data silos with an open lakehouse to unify all your data</h3> <div class="itemExpander_module_expandableSectionHeaderTrigger__e56d1e98" aria-hidden="true"> <span class="icon_module_icon__31e1c712 icon_module_sizeS__31e1c712"> <svg role="presentation" xmlns="http://www.w3.org/2000/svg" viewbox="0 0 16 16"> <path d="M16 9H9V16H7V9H0V7H7V0H9V7H16V9Z" data-type="fill"></path> </svg></span> </div> </div> <div id="content-2" aria-labelledby="2-trigger" class="itemExpander_module_expandableSectionContent__e56d1e98"> <div class="itemExpander_module_expandableSectionContentWrapper__e56d1e98"> <div data-rg-n="BodyText" class="basetext_module_text__5cf43cbe bodytext_module_body__ca32720c qaSampler_module_qaSamplerContent__b180ba78 bodytext_module_size1__ca32720c"> Unify all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses with Amazon SageMaker Lakehouse. Gain the flexibility to access and query your data with all Apache Iceberg–compatible tools and engines on a single copy of analytics data. Secure your data by defining fine-grained permissions, applied across your analytics and AI tools in the lakehouse. Bring data from operational databases and applications into your lakehouse in near real time through zero-ETL integrations. Additionally, access and query data in place with federated query capabilities across third-party data sources. </div> </div> </div> </div> <div class="itemExpander_module_expandableSection__e56d1e98" data-eb-item-id="3"> <div class="itemExpander_module_expandableSectionHeader__e56d1e98 qaSampler_module_qaSamplerExpanderHeader__b180ba78" id="3-trigger" aria-controls="content-3" aria-expanded="false" tabindex="0" role="button" data-rigel-analytics="{"name":"ItemExpander","properties":{"expanded":false}}"> <h3 data-rg-n="TitleText" class="basetext_module_text__5cf43cbe titletext_module_title__e23b0698 qaSampler_module_qaSamplerTitle__b180ba78 titletext_module_size4__e23b0698">Meet your enterprise security needs with end-to-end data and AI governance</h3> <div class="itemExpander_module_expandableSectionHeaderTrigger__e56d1e98" aria-hidden="true"> <span class="icon_module_icon__31e1c712 icon_module_sizeS__31e1c712"> <svg role="presentation" xmlns="http://www.w3.org/2000/svg" viewbox="0 0 16 16"> <path d="M16 9H9V16H7V9H0V7H7V0H9V7H16V9Z" data-type="fill"></path> </svg></span> </div> </div> <div id="content-3" aria-labelledby="3-trigger" class="itemExpander_module_expandableSectionContent__e56d1e98"> <div class="itemExpander_module_expandableSectionContentWrapper__e56d1e98"> <div data-rg-n="BodyText" class="basetext_module_text__5cf43cbe bodytext_module_body__ca32720c qaSampler_module_qaSamplerContent__b180ba78 bodytext_module_size1__ca32720c"> Ensure enterprise security with built-in governance throughout the entire data and AI lifecycle. SageMaker empowers you to control access to the right data, models, and development artifacts by the right user for the right purpose. Consistently define and enforce access policies using a single permission model with fine-grained access controls with Amazon SageMaker Catalog. Safeguard and protect your AI models with data classification, toxicity detection, guardrails, and responsible AI policies. Gain trust throughout your organization through data-quality monitoring and automation, sensitive data detection, and data and ML lineage. </div> </div> </div> </div> </div> </div> </div> </div> </div> </div></span> </div> </div> </div> <div class="data-attr-wrapper lb-tiny-pad lb-none-v-margin lb-grid" style="padding-top:20px; padding-bottom:20px;" data-da-type="so" data-da-so-category="monitoring" data-da-so-language="en" data-da-so-name="how-it-works" data-da-so-type="viewport" data-da-so-version="3" data-da-so-url="/redshift"> <div class="lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-24"> <h1 id="Meet_the_next_generation_of_SageMaker" class="lb-txt-bold lb-txt-none lb-txt-40 lb-none-v-margin lb-h1 lb-title" style="color:#232F3E; margin-bottom:20px;"> Meet the next generation of SageMaker</h1> <figure class="lb-img"> <div> <img 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<div data-eb-tpl-root="" data-reactroot=""> <div> <div data-rg-lang="en" data-rg-locale="en-US" lang="en-US" dir="ltr"> <div data-rg-theme="fuchsia" data-rg-mode="light" data-style-count="0"> <div data-rg-n="GridStack" class="templatecontainer_module_templateContainer__dd3d201a gridStack_module_gridStack__35667094"> <div data-rg-n="Grid" class="grid_module_grid__8fc83f0e" style="--rg-grid-gap:var(--rg-margin-3)"> <div data-rg-n="Col" class="col_module_col__66940a30 col_module_col12__66940a30"> <div class="templateHeader_module_templateHeader__b496fe91"> <div data-rg-n="Grid" class="grid_module_grid__8fc83f0e grid_module_noPadding__8fc83f0e" style="--rg-grid-gap:var(--rg-margin-3)"> <div data-rg-n="Col" class="col_module_col__66940a30 col_module_colXs12__66940a30 col_module_colS10__66940a30 col_module_colM8__66940a30 col_module_colL8__66940a30 col_module_colXl8__66940a30 col_module_colXxl8__66940a30"> <h2 data-rg-n="HeadingText" class="basetext_module_text__5cf43cbe headingtext_module_heading__00ee2f90 headingtext_module_size2__00ee2f90">Capabilities</h2> </div> </div> </div> </div> </div> <div data-rg-n="Grid" class="grid_module_grid__8fc83f0e" style="--rg-grid-gap:var(--rg-margin-3)"> <div data-rg-n="Col" class="col_module_col__66940a30 col_module_colXs12__66940a30 col_module_colS12__66940a30 col_module_colM6__66940a30 col_module_colL4__66940a30 col_module_colXl4__66940a30 col_module_colXxl4__66940a30"> <div data-eb-item-id="awt-content-topics#sagemaker-northstar-capabilities-1"> <a data-rg-n="ClassicCard" href="https://aws.amazon.com/sagemaker/unified-studio" data-rigel-analytics="{"name":"Link","properties":{"size":1}}" class="basetext_module_text__5cf43cbe bodytext_module_body__ca32720c link_module_link__f23c9474 dropShadow_module_shadow__0e93b107 dropShadow_module_themed__0e93b107 dropShadow_module_onHover__0e93b107 dropShadow_module_pressable__0e93b107 classicCard_module_classicCard__777015e3 classicCard_module_fullHeight__777015e3 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tablist_module_indicator__515d0ebb"></div> <ul role="tablist"> <li class="tablist_module_tab__515d0ebb" role="none presentation"><button role="tab" tabindex="0" aria-selected="true" id="tab-undefined-awt-content-topics#sagemaker-northstar-customers-1" aria-controls="tabpanel-undefined-awt-content-topics#sagemaker-northstar-customers-1" type="button" data-rigel-analytics="{"name":"Button","properties":{"variant":"tertiary"}}" class="dropShadow_module_shadow__0e93b107 dropShadow_module_themed__0e93b107 dropShadow_module_onHover__0e93b107 dropShadow_module_pressable__0e93b107 dropShadow_module_disabled__0e93b107 buttonbase_module_buttonBase__efa86cab buttonbase_module_tertiary__efa86cab button_module_button__f561bac2"><span data-rg-n="UtilityText" class="basetext_module_text__5cf43cbe basetext_module_center__5cf43cbe utilitytext_module_utility__9ef276a8 button_module_content__f561bac2 utilitytext_module_size3__9ef276a8">Toyota</span></button></li> <li class="tablist_module_tab__515d0ebb" 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aria-controls="tabpanel-undefined-awt-content-topics#sagemaker-northstar-customers-4" type="button" data-rigel-analytics="{"name":"Button","properties":{"variant":"tertiary"}}" class="dropShadow_module_shadow__0e93b107 dropShadow_module_themed__0e93b107 dropShadow_module_onHover__0e93b107 dropShadow_module_pressable__0e93b107 dropShadow_module_disabled__0e93b107 buttonbase_module_buttonBase__efa86cab buttonbase_module_tertiary__efa86cab button_module_button__f561bac2"><span data-rg-n="UtilityText" class="basetext_module_text__5cf43cbe basetext_module_center__5cf43cbe utilitytext_module_utility__9ef276a8 button_module_content__f561bac2 utilitytext_module_size3__9ef276a8">Lennar</span></button></li> <li class="tablist_module_tab__515d0ebb" role="none presentation"><button role="tab" tabindex="-1" aria-selected="false" id="tab-undefined-awt-content-topics#sagemaker-northstar-customers-5" aria-controls="tabpanel-undefined-awt-content-topics#sagemaker-northstar-customers-5" type="button" 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The new Amazon SageMaker Lakehouse excites me with its potential to enhance and unify access to data lake, and other data sources with services like Amazon Redshift, Glue Data Catalog, and Lake Formation. This innovation will allow our data and engineering teams to simplify data access, promoting interoperability across data, analytics, and application workloads. I foresee a notable reduction in data errors through less data copying, a 40% decrease in processing time, quicker analytics data write-back to transactional systems for improved decision-making, and empowering our teams to focus on creating business value.”</em></p> <p><strong>Yannick Misteli, Head of Engineering, Global Product Strategy, Roche</strong></p> </div> </div> <div data-rg-n="Col" class="col_module_col__66940a30 col_module_col1__66940a30 textmediacontent_module_spacer__d28b7a4a"></div> <div data-rg-n="Col" class="col_module_col__66940a30 col_module_colXs12__66940a30 col_module_colS12__66940a30 col_module_colM5__66940a30 col_module_colL5__66940a30 col_module_colXl5__66940a30 col_module_colXxl5__66940a30 textmediacontent_module_mediaContainer__d28b7a4a"> <img class="image_module_image__0914b1c0" src="https://d1.awsstatic.com/customer-references-case-studies-logos/customer-pages_logos/Roche_Logo.2e7e63eadfaf9e037e90903b8478cbdb085041ab.png" alt="image" loading="lazy"> </div> </div> </div> <div class="tabs_module_tabPanel__05d921ca" role="tabpanel" id="tabpanel-undefined-awt-content-topics#sagemaker-northstar-customers-4" tabindex="-1" aria-labelledby="tab-undefined-awt-content-topics#sagemaker-northstar-customers-4"> <div data-rg-n="TextMediaContent" data-media-position="end" class="textmediacontent_module_textMediaContent__d28b7a4a grid_module_grid__8fc83f0e grid_module_fullWidth__8fc83f0e grid_module_noPadding__8fc83f0e" style="--rg-grid-gap:var(--rg-margin-3)"> <div data-rg-n="Col" data-text-form="long" class="col_module_col__66940a30 col_module_colXs12__66940a30 col_module_colS12__66940a30 col_module_colM6__66940a30 col_module_colL6__66940a30 col_module_colXl6__66940a30 col_module_colXxl6__66940a30 textmediacontent_module_textContainer__d28b7a4a"> <h3 data-rg-n="HeadingText" class="basetext_module_text__5cf43cbe headingtext_module_heading__00ee2f90 textmediacontent_module_heading__d28b7a4a headingtext_module_size3__00ee2f90">Lennar</h3> <div data-rg-n="BodyText" class="basetext_module_text__5cf43cbe bodytext_module_body__ca32720c bodytext_module_size2__ca32720c"> <p><em>“We have spent the last 18 months working with AWS to transform our data foundation to use best-in-class solutions that are cost-effective as well. 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