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Это решение приносит данные о работе ваших локальных экземпляров VMM в лог-аналитику в OMS. Администраторы VMM могут затем использовать эту универсальную платформу для построения запросов для поиска соответствующих данных и создания визуализации данных.\r\n\r\nРешение Analytics для диспетчера виртуальных машин поставляется с некоторыми встроенными отчетами с предварительно сконфигурированной визуализацией данных, поэтому вы можете легко начать с часто используемых запросов, таких как:\r\n<ul><li>Распределение неудачных заданий в экземплярах VMM для легкого раскрытия разбитых экземпляров.</li><li>Распределение сбоев с течением времени, чтобы найти неожиданные всплески и помочь в корреляции причин и сбоев.</li><li>Распределение неудачных заданий и ошибок, чтобы помочь определить наиболее подверженные ошибкам задания и причину.</li><li>Распределение времени выполнения задания в разных прогонах для определения вялых и подверженных ошибкам заданий.</li></ul>\r\nКроме того, данные из System Center Virtual Machine Manager могут быть объединены с несколькими функциями в OMS для принудительного использования, в том числе:\r\n<ul><li>Объедините данные заданий из нескольких экземпляров VMM в одно рабочее пространство OMS. Теперь вы можете следить за деталями работы для всех экземпляров VMM вместе.</li><li>Настройте оповещения OMS с информацией о заданиях VMM, чтобы получать уведомления о завершении или сбое заданий VMM и информировать соответствующие команды.</li><li>Корреляция данных задания VMM с другими событиями в аналитике журналов OMS для быстрого устранения неполадок. Вы можете легко определить возможные причины неожиданных сбоев на машине VMM, сопоставив журналы работы VMM с информацией из таких решений, как Change Tracking и Hyper-V.</li><li>Используйте рабочие книги Azure Automation с данными задания VMM, чтобы помочь включить автоматическую коррекцию для известных или часто возникающих проблем.</li></ul>","shortDescription":"Решение Microsoft System Center Virtual Machine Manager Analytics, которое теперь доступно в Azure Log Analytics и в составе пакета управления операциями (OMS). Эти решения работают вместе с продуктами System Center для обеспечения современных сценариев управления ИТ, обеспечивая упрощенные способы решения и предотвращения проблем.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":11,"sellingCount":16,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Microsoft System Center Virtual Machine Manager Analytics решение","keywords":"заданий, экземпляров, Распределение, задания, чтобы, данных, помочь, данные","description":"Microsoft System Center Virtual Machine Manager Analytics - это решение с открытым исходным кодом, которое может быть включено в рабочее пространство OMS. Это","og:title":"Microsoft System Center Virtual Machine Manager Analytics решение","og:description":"Microsoft System Center Virtual Machine Manager Analytics - это решение с открытым исходным кодом, которое может быть включено в рабочее пространство OMS. 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По этой причине врачи часто ищут мнения других экспертов, чтобы либо подтвердить план лечения, либо рассмотреть новый подход, основанный на подтверждающих доказательствах, что потенциально повышает доверие к их решениям о лечении.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \"><br /></span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Недавние исследования продолжают демонстрировать, что </span>IBM Watson для онкологии согласует информацию<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">с врачами по всему миру.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \"><br /></span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold; \">Особенности</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \"><br /></span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Объем информации, доступной для принятия решений о лечении рака, растет экспоненциально. Тем не менее, время, необходимое для того, чтобы потреблять информацию, определяющую информацию, специфичную для уникальных потребностей каждого пациента, чтобы потенциально улучшить результаты лечения, является более ограниченным, чем когда-либо.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \"><br /></span>\r\n<span style=\"background-color: rgb(255, 255, 255); \">IBM Watson для онкологии</span><span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">помогает врачам быстро идентифицировать ключевую информацию в медицинской карте пациента, наглядные данные и изучить варианты лечения.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \"><br /></span>\r\n<span style=\"background-color: rgb(255, 255, 255); \">IBM Watson для онкологии </span>\r\n<ul><li>анализирует растущий объем медицинской литературы, опытов, статей и данных пациентов</li><li>понимает лонгитюдные медицинские записи и применить обработку естественного языка и передовые когнитивные алгоритмы для каждого уникального случая пациента.</li><li>создает список возможных вариантов лечения, оцененных по применимости, рекомендованных для рассмотрения и не рекомендуемых.</li></ul>\r\n","shortDescription":"IBM Watson для онкологии - решение для клиник лечения раковых заболеваний, предоставляющее уверенность в решении, основанное на анализе информации","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":12,"sellingCount":2,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"IBM Watson для онкологии - решение для клиник лечения раковых заболеваний","keywords":"IBM Watson, онкология, решение, клиник раковых заболеваний, анализ информации","description":"Рак представляет собой сложную и иногда неуловимую болезнь, и уникальный рак каждого человека может представлять неожиданные проблемы. 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Технологии BI обрабатывают большие объемы неструктурированных данных, чтобы найти стратегические возможности для бизнеса.\r\n\r\nЦель BI — интерпретировать большое количество данных, заостряя внимание лишь на ключевых факторах эффективности, моделируя исход различных вариантов действий, отслеживая результаты принятия решений.\r\n\r\nBI поддерживает множество бизнес-решений — от операционных до стратегических. Основные операционные решения включают в себя позиционирование продукта или цен. Стратегические бизнес-решения включают в себя приоритеты, цели и направления в самом широком смысле. BI наиболее эффективен, когда он объединяет данные, полученные из рынка, на котором работает компания (внешние данные), с данными из источников внутри компании, таких как финансовые и операции с данными (внутренние данные). В сочетании, внешние и внутренние данные дают полную картину бизнеса, которая, создает «интеллект» — быстрое понимание, которое не получить из простого набора данных.\r\n\r\nИсточник: https://ru.wikipedia.org/wiki/Business_Intelligence","materialsDescription":"","iconURL":"https://old.b4r.io/fileadmin/user_upload/business-analytics.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1579,"logoURL":"https://old.b4r.io/fileadmin/user_upload/IBM_Watson_Explorer.png","logo":true,"scheme":false,"title":"IBM Watson для геномики","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":223,"alias":"ibm-watson-dlja-genomiki","companyTitle":"IBM","companyTypes":["supplier","vendor"],"companyId":177,"companyAlias":"ibm","description":"<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Рак каждого человека уникален, как и его лечение</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Рак оказывает разрушительное воздействие на людей, живущих с болезнью, и их близких, а онкологи сталкиваются с серьезными проблемами, поскольку они работают над тем, чтобы обеспечить эффективную помощь, адаптированную для каждого пациента. В среднем 75% больных раком не будут реагировать на конкретный препарат в классе агентов. Неудивительно, что онкологи все чаще ищут идеи геномики для определения более точных и потенциально эффективных методов лечения.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">В IBM Watson Health мы полагаем, что будущее лечения рака лежит в прецизионной медицине.</span>\r\nОсновные характеристики <span style=\"background-color: rgb(255, 255, 255); \">IBM Watson Health</span><span style=\"background-color: rgb(255, 255, 255); \">для геномики</span>\r\n<span style=\"font-weight: bold; \">Информация, позволяющая клиницистам адаптировать индивидуальные планы лечения</span>\r\nSaas для онкологов предоставляет рецензируемые молекулярные данные, помогающие онкологам создавать персонализированные стратегии лечения для своих пациентов на основе результатов генетического тестирования опухолевой ткани. IBM Watson для геномики анализирует и классифицирует генетические изменения, связанные с прогрессированием рака, и предоставляет список возможных вариантов лечения, которые нацелены на каждое изменение. Интерпретация выполняется в течение нескольких минут, и создается детальный отчет. В итоговой странице отчета перечислены все критические генетические изменения, которые были идентифицированы в анализе, и связывает каждого с терапевтическими вариантами, включая одобренные FDA лекарства и клинические испытания. \r\n<span style=\"font-weight: bold;\">Когнитивная система использует информацию из обширной медицинской литературы и источников данных</span>\r\nWatson для Genomics представляет результаты с помощью гиперссылок к источникам. В разделе отчета о лекарствах содержится подробная информация о выявленных препаратах с обзором, обоснованием ассоциации и уровнем доказательности, а также результатом клинических испытаний.\r\n<span style=\"font-weight: bold;\">Полная интерпретация генов, поддерживающая все типы рака и все размеры генных панелей</span>\r\nВ интерпретации молекулярного профиля подробно излагаются известные генетические изменения, обнаруженные в образце опухоли. Для каждой мутации предоставляется молекулярное и научное доказательство, объясняющее патологическую значимость изменения. Диаграмма предлагает простой просмотр мутаций с хромосомным расположением.","shortDescription":"IBM Watson для геномики - по всему региону врачи могут предоставить уверенное персонализированное лечение пациентам с раком.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":6,"sellingCount":8,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"IBM Watson Health для геномики","keywords":"IBM Watson Health, геномика, Genomics, cancer","description":"Рак каждого человека уникален, как и его лечение\rРак оказывает разрушительное воздействие на людей, живущих с болезнью, и их близких, а онкологи сталкиваются с","og:title":"IBM Watson Health для геномики","og:description":"Рак каждого человека уникален, как и его лечение\rРак оказывает разрушительное воздействие на людей, живущих с болезнью, и их близких, а онкологи сталкиваются с","og:image":"https://old.b4r.io/fileadmin/user_upload/IBM_Watson_Explorer.png"},"eventUrl":"","translationId":2737,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":52,"title":"SaaS - software as a service","alias":"saas-software-as-a-service","description":"SaaS (англ. software as a service — программное обеспечение как услуга; также англ. software on demand — программное обеспечение по требованию) — одна из форм облачных вычислений, модель обслуживания, при которой подписчикам предоставляется готовое прикладное программное обеспечение, полностью обслуживаемое провайдером. Поставщик в этой модели самостоятельно управляет приложением, предоставляя заказчикам доступ к функциям с клиентских устройств, как правило через мобильное приложение или веб-браузер.\r\n\r\nОсновное преимущество модели SaaS для потребителя услуги состоит в отсутствии затрат, связанных с установкой, обновлением и поддержкой работоспособности оборудования и работающего на нём программного обеспечения.\r\n\r\nВ модели SaaS:\r\n\r\nприложение приспособлено для удаленного использования;\r\nодним приложением пользуется несколько клиентов (приложение коммунально);\r\nоплата взимается либо в виде ежемесячной абонентской платы, либо на основе объёма операций;\r\nтехническая поддержка приложения включена в оплату;\r\nмодернизация и обновление приложения происходит оперативно и прозрачно для клиентов.\r\nКак и во всех формах облачных вычислений, заказчики платят не за владение программным обеспечением как таковым, а за его аренду (то есть за его использование через мобильное приложение или веб-интерфейс). Таким образом, в отличие от классической схемы лицензирования программного обеспечения, заказчик несет сравнительно небольшие периодические затраты, и ему не требуется инвестировать значительные средства в приобретение прикладной программы и необходимых программно-платформенных и аппаратных средств для его развёртывания, а затем поддерживать его работоспособность. Схема периодической оплаты предполагает, что если необходимость в программном обеспечении временно отсутствует, то заказчик может приостановить его использование и заморозить выплаты разработчику.\r\n\r\nС точки зрения разработчика некоторого проприетарного программного обеспечения модель SaaS позволяет эффективно бороться с нелицензионным использованием программного обеспечения, поскольку программное обеспечение как таковое не попадает к конечным заказчикам. Кроме того, концепция SaaS часто позволяет уменьшить затраты на развёртывание и внедрение систем технической и консультационной поддержки продукта, хотя и не исключает их полностью.\r\n\r\nИсточник: https://ru.wikipedia.org/wiki/SaaS","materialsDescription":"","iconURL":"https://old.b4r.io/fileadmin/user_upload/cloud_computing2__1_.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business intelligence (сокращённо BI) — это методы и инструменты для перевода необработанной информации в осмысленную, удобную форму. Эти данные используются для бизнес-анализа. Технологии BI обрабатывают большие объемы неструктурированных данных, чтобы найти стратегические возможности для бизнеса.\r\n\r\nЦель BI — интерпретировать большое количество данных, заостряя внимание лишь на ключевых факторах эффективности, моделируя исход различных вариантов действий, отслеживая результаты принятия решений.\r\n\r\nBI поддерживает множество бизнес-решений — от операционных до стратегических. Основные операционные решения включают в себя позиционирование продукта или цен. Стратегические бизнес-решения включают в себя приоритеты, цели и направления в самом широком смысле. BI наиболее эффективен, когда он объединяет данные, полученные из рынка, на котором работает компания (внешние данные), с данными из источников внутри компании, таких как финансовые и операции с данными (внутренние данные). В сочетании, внешние и внутренние данные дают полную картину бизнеса, которая, создает «интеллект» — быстрое понимание, которое не получить из простого набора данных.\r\n\r\nИсточник: https://ru.wikipedia.org/wiki/Business_Intelligence","materialsDescription":"","iconURL":"https://old.b4r.io/fileadmin/user_upload/business-analytics.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1584,"logoURL":"https://old.b4r.io/fileadmin/user_upload/cisco_logo.png","logo":true,"scheme":false,"title":"Cisco UCS C4200 Серверное шасси","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":273,"alias":"cisco-ucs-c4200-servernoe-shassi","companyTitle":"Cisco","companyTypes":["supplier","vendor"],"companyId":170,"companyAlias":"cisco","description":"<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Независимо от того, являетесь ли вы поставщиком услуг, который ищет максимальную плотность, производство, моделирующее новые проекты, розничный торговец, анализирующий тенденции потребителей, или ученый-статистик, моделирующий финансовый рынок, ваша способность эффективно масштабировать вычисления для удовлетворения спроса имеет решающее значение для завоевания конкурентного преимущества. </span><span style=\"background-color: rgb(255, 255, 255); \">Cisco UCS C4200 Series Rack Server Chassis может это обеспечить.</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Серверное шасси Cisco UCS C4200</span>\r\n<ul><li>Четыре узла в 2RU</li><li>24 привод SFF</li><li>Двойной, блок питания 2400 Вт</li></ul>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Особенности</span>\r\n<ul><li>Больше серверов на стойку.Для масштабирования приложений требуется больше серверов, а пространство для центров обработки данных может быть в отличной форме. С многострочными серверами серии C вы получаете на 50% большую плотность сервера по сравнению с сервером стойки Cisco UCS C220 M5.</li><li>Больше процессорных ядер.Вычисление интенсивных, масштабных, рабочих нагрузок дает преимущества от дополнительных ядер на сервер. Серверный узел UCS C125 M5 с процессорами AMD® EPYC ™ имеет на 14% больше ядер, чем другие серверы UCS M5, и до 128% больше ядер на стойку.</li><li>Лучшая пропускная способность памяти.Вы можете обрабатывать данные так же быстро, как позволяет ваша память. Серверный узел UCS C125 M5 имеет на 33% больше пропускной способности памяти, чем другие серверы UCS M5, позволяющие вам разблокировать и быстро извлечь экономическую выгоду из ваших данных.</li></ul>","shortDescription":"Cisco UCS C4200 Series Rack Server Chassis - серверы с использованием процессоров AMD с самой высокой плотностью ","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":1,"sellingCount":0,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Cisco UCS C4200 Серверное шасси","keywords":"Cisco, ядер, больше, имеет, C4200, узел, памяти, ваша","description":"Независимо от того, являетесь ли вы поставщиком услуг, который ищет максимальную плотность, производство, моделирующее новые проекты, розничный торговец,","og:title":"Cisco UCS C4200 Серверное шасси","og:description":"Независимо от того, являетесь ли вы поставщиком услуг, который ищет максимальную плотность, производство, моделирующее новые проекты, розничный торговец,","og:image":"https://old.b4r.io/fileadmin/user_upload/cisco_logo.png"},"eventUrl":"","translationId":2739,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":435,"title":"Rack Server","alias":"rack-server","description":"","materialsDescription":"","iconURL":"https://old.b4r.io/fileadmin/user_upload/rack-server.png"},{"id":35,"title":"Server","alias":"server","description":"Сервером называется компьютер, выделенный из группы персональных компьютеров (или рабочих станций) для выполнения какой-либо сервисной задачи без непосредственного участия человека. Сервер и рабочая станция могут иметь одинаковую аппаратную конфигурацию, так как различаются лишь по участию в своей работе человека за консолью.\r\n\r\nНекоторые сервисные задачи могут выполняться на рабочей станции параллельно с работой пользователя. Такую рабочую станцию условно называют невыделенным сервером.\r\n\r\nИсточник: https://ru.wikipedia.org/wiki/%D0%A1%D0%B5%D1%80%D0%B2%D0%B5%D1%80_(%D0%B0%D0%BF%D0%BF%D0%B0%D1%80%D0%B0%D1%82%D0%BD%D0%BE%D0%B5_%D0%BE%D0%B1%D0%B5%D1%81%D0%BF%D0%B5%D1%87%D0%B5%D0%BD%D0%B8%D0%B5)","materialsDescription":"","iconURL":"https://old.b4r.io/fileadmin/user_upload/server.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"partnershipProgramme":null}},"aliases":{},"links":{},"meta":{},"loading":false,"error":null},"implementations":{"implementationsByAlias":{},"aliases":{},"links":{},"meta":{},"loading":false,"error":null},"agreements":{"agreementById":{},"ids":{},"links":{},"meta":{},"loading":false,"error":null},"comparison":{"loading":false,"error":false,"templatesById":{},"comparisonByTemplateId":{},"products":[],"selectedTemplateId":null},"presentation":{"type":null,"company":{},"products":[],"partners":[],"formData":{},"dataLoading":false,"dataError":false,"loading":false,"error":false},"catalogsGlobal":{"subMenuItemTitle":""}}