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Published By: IBM     Published Date: Aug 04, 2016
IBM BigInsights is ready to help Quest Diagnostics Inc. ingest, normalize and analyze huge data-sets, delivering new insight into clinical outcomes for physicians, hospitals, and millions of patients.
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ibm, analytics, myaa, quest diagnostics, case study, data analytics, data insight, big data
    
IBM
Published By: AWS     Published Date: May 18, 2018
We’ve become a world of instant information. We carry mobile devices that answer questions in seconds and we track our morning runs from screens on our wrists. News spreads immediately across our social feeds, and traffic alerts direct us away from road closures. As consumers, we have come to expect answers now, in real time. Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data
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AWS
Published By: Genesys     Published Date: Feb 08, 2019
Angesichts der zahlreichen Optionen, die der äußerst dynamische Markt für cloudbasierte Contact Center bietet, ist die Suche nach der richtigen Lösung für Ihr Unternehmen eine Herausforderung. Vergleichen Sie mithilfe der „Ovum-Entscheidungsmatrix für die Auswahl eines cloudbasierten Multichannel-Contact-Centers, 2017–18“ ganz einfach die führenden Anbieter von Contact-Center-Lösungen anhand ihrer Fähigkeit, umfassende Funktionen für das Routing von Anrufen und kanalübergreifenden Kundenservice in der Cloud bereitzustellen. Außerdem erfahren Sie, warum Genesys als „Leader“ eingestuft wurde, der Lösungen für Unternehmen jeder Größe und in allen Branchen weltweit bietet. In der Ovum-Entscheidungsmatrix finden Sie: eine Gegenüberstellung cloudbasierter Contact-Center-Lösungen basierend auf einer Bewertung ihrer Technologieplattformen einen Vergleich der Anbieter anhand ihrer Fähigkeit, kanalübergreifende Kundeninteraktionen zu unterstützen und mittels Analysen Verbindungen zwisch
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Genesys
Published By: IBM     Published Date: Jan 20, 2017
Government agencies are taking advantage of new capabilities like mobile and cloud to deliver better services to its citizens. Many agencies are going paperless, streamlining how they interact with citizens and providing services more efficiently and faster. This short video will show real examples of how government agencies are applying new capabilities like cognitive and analytics to improve how they ingest, manage, store and interact with content.
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IBM
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Qu'est-ce qu'un lac de données ? Les organisations doivent gérer de plus grands volumes de données, provenant de davantage de sources et contenant plus de types de données que jamais auparavant. Confrontées à des volumes massifs et hétérogènes de données, de nombreuses organisations ont compris que pour proposer des informations stratégiques pour l'entreprise en temps opportun, elles doivent disposer d'une solution d'analyse et de stockage des données qui offre plus de vitesse et de souplesse que les systèmes traditionnels. Un lac de données représente une solution nouvelle et de plus en plus répandue pour stocker et analyser les données. Cette solution relève la plupart de ces défis en permettant à une organisation de stocker l'ensemble de ses données au sein d'un même référentiel centralisé. Comme les données peuvent être stockées sous leur forme initiale, il n'est pas nécessaire de les convertir en un schéma prédéfini avant leur ingestion.
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Amazon Web Services
Published By: Attunity     Published Date: Nov 15, 2018
With the opportunity to leverage new analytic systems for Big Data and Cloud, companies are looking for ways to deliver live SAP data to platforms such as Hadoop, Kafka, and the Cloud in real-time. However, making live production SAP data seamlessly available wherever needed across diverse platforms and hybrid environments often proves a challenge. Download this paper to learn how Attunity Replicate’s simple, real-time data replication and ingest solution can empower your team to meet fast-changing business requirements in an agile fashion. Our universal SAP data availability solution for analytics supports decisions to improve operations, optimize customer service, and enable companies to compete more effectively.
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Attunity
Published By: Attunity     Published Date: Nov 15, 2018
IT departments today face serious data integration hurdles when adopting and managing a Hadoop-based data lake. Many lack the ETL and Hadoop coding skills required to replicate data across these large environments. In this whitepaper, learn how you can provide automated Data Lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.
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Attunity
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