cloud analytics

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Published By: IBM     Published Date: Dec 22, 2015
Read this white paper to get an in-depth look at the benefits of embracing a digital business model, and find out how sports teams of all types can use cloud service providers with digital marketing and analytics tools to gain a competitive edge on the marketing playing field.
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sports marketing, ibm, digital strategies, cloud, analytics, operations, it management, knowledge management, storage, data management
    
IBM
Published By: IBM     Published Date: Jan 21, 2016
The intelligent commerce experience (ICE) is a cloud-based analytics and intelligence platform that utilizes cutting edge interaction technologies.
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ibm, commerce, intelligent commerce, ice, cloud, enterprise applications, human resources
    
IBM
Published By: IBM     Published Date: Apr 14, 2016
Read this white paper to get an in-depth look at the benefits of embracing a digital business model, and find out how sports teams of all types can use cloud service providers with digital marketing and analytics tools to gain a competitive edge on the marketing playing field.
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ibm, sports marketing, media, entertainment, digital business model, cloud, cloud computing
    
IBM
Published By: Symantec     Published Date: Jul 11, 2017
CloudSOC can help you more easily determine which apps should be blocked and which should be allowed within your organization by assisting in identifying unsanctioned Shadow IT, providing customized Business Readiness Ratings™ for each cloud app tailored to your organization’s risk profile, and applying User Behavior Analytics (UBA) to identify hackers and malicious usage. Here you’ll learn how to guide your organization through the process of safely adopting cloud apps and services using Symantec CloudSOC.
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cloud application, cloud app adoption, cloud security, cloud protection, shadow it
    
Symantec
Published By: IBM     Published Date: Feb 11, 2015
As cloud computing gains more traction, more businesses are beginning to align their security strategy to better manage the privacy and compliance challenges of this new deployment model. Indeed, cloud models are being used not only to add compute and storage resources, they are also becoming an imperative for data analytics and mobility. In this paper, we will look at how the growing adoption of cloud computing is changing the way organizations are implementing security.
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security strategies, ibm, deployment model, cloud security, data analytics, security, business analytics, data protection, database security, data center
    
IBM
Published By: IBM     Published Date: Feb 11, 2015
Maintain visibility and control with proven security solutions for public, private and hybrid clouds. IBM Security solutions provide layered protection and deep insight across public, private and hybrid cloud environments. They help organizations manage user identities, protect data and applications, and prevent sophisticated attacks with advanced analytics.
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security solutions, layered protection, protect data, advanced analytics, ibm, security, it management, business intelligence, data protection, database security
    
IBM
Published By: IBM     Published Date: Jul 01, 2015
This webcast talks about decentralizing the IoT by leveraging the “block chain”-- the technology platform underlying Bitcoin.
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internet of things, iot, cloud computing, data security, blockchain, big data, app infrastructure, data analytics, infrastructure, application integration, best practices, business analytics, business intelligence, business metrics, database development, data integration, data center design and management
    
IBM
Published By: IBM     Published Date: Oct 06, 2015
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
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ibm, cloud, analytics, mobile, social, security, infrastructure, data center, data center transformation, networking, it management, data management
    
IBM
Published By: IBM     Published Date: Oct 06, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
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networks, ibm, redefining networks, cloud, analytics, mobile, social, security, big data, it security, data center, enterprise networks, it management, data management
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
Amy McCormick, offering and product manager at IBM, discusses IBM in Healthcare, the value of integration, IBM Healthcare integration, and client successes as well as integration use cases.
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ibm, integration bus, cloud, analytics, mobile, it systems, infrastructure, network architecture, business process automation, content integration, cloud computing
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
Sargam Singh, senior product manager of cloud integration at IBM, discusses the digital transformation in cloud integration.
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cloud, ibm, integration, digital, analytics, data, applications, business management, enterprise software, analytical applications, cloud computing, design and facilities
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
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data center, cloud computing, analytcs, mobile, social, cyber security, ibm, infrastructure, monitoring, analytical applications, business intelligence
    
IBM
Published By: IBM     Published Date: Feb 29, 2016
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
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ibm, network, cloud, analytics, mobile, social, big data, it security, networking, security, enterprise applications
    
IBM
Published By: IBM     Published Date: Feb 29, 2016
Users expect quick, consistent access to their business-critical data and applications around the clock. That’s why outages, whether they are planned or unplanned, can negatively affect revenue, consumer trust and your reputation.
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ibm, technology, always on, cloud, analytics, outages, always on, networking, wireless, enterprise applications
    
IBM
Published By: IBM     Published Date: Apr 01, 2016
Keep your workforce and systems current for faster DevOps, deployment, and management of cloud, analytics and mobile applications. Learn about updated, intuitive mainframe tools that are easy-to-to use for both millennials and baby-boomers.
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ibm, agile, agile development, cloud, mobile, z systems, mobile computing, cloud computing
    
IBM
Published By: IBM     Published Date: Sep 30, 2016
Address budget shortages and skills gaps with cloud-based Security Intelligence & Analytics. Use a Software-as-a-Service solution to replace aging security technologies and deploy a market leading solution in only weeks. Read how you can focus on monitoring the environment rather than updating software, and replace up-front capital costs with a monthly operational fee.
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security, enterprise applications
    
IBM
Published By: IBM     Published Date: Sep 30, 2016
In this exclusive report, Nucleus Research cites findings from interviews with IBM QRadar on Cloud customers who have adopted a cloud subscription model to access security intelligence & analytics capabilities. Download the report to read about the reported benefits, including better flexibility and agility to address a rapidly changing threat environment, increased IT productivity and access to a growing range of additional security services in the cloud.
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nucleus, research guidebook, ibm qradar, cloud, networking, security, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 09, 2017
In this exclusive report, Nucleus Research cites findings from interviews with IBM QRadar on Cloud customers who have adopted a cloud subscription model to access security intelligence & analytics capabilities. Download the report to read about the reported benefits, including better flexibility and agility to address a rapidly changing threat environment, increased IT productivity and access to a growing range of additional security services in the cloud.
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ibm, nucleus, research guidebook, ibm qradar, cloud, security, enterprise applications
    
IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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Group M_IBM Q418
Published By: Cisco     Published Date: Jul 11, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
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analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
    
IBM
Published By: SAS     Published Date: Apr 17, 2019
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability and cost savings. With computing power advancements and continuous growth of data, cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that cloud provides also creates complexity and challenges. In this white paper, learn how organizations are applying expertise and using the latest methods to move analytics to the cloud, including: Why are organizations moving analytic work to the cloud? What are the key challenges and misconceptions? How do IT leaders provide choice while maintaining control?
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SAS
Published By: IBM     Published Date: Oct 10, 2013
Four technology trends—cloud computing, mobile technology, social collaboration and analytics—are shaping the business and converging on the data center. But few data center strategies are designed with the requisite flexibility, scalability or resiliency to meet the new demands. Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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technology trends, pervasive technology, data center, resilient infrastructures, collaboration and analytics, mobile technology, ibm, accurate strategies, cloud computing, scalability, wireless, data center design and management
    
IBM
Published By: IBM     Published Date: Oct 10, 2013
With modern IT infrastructures an intricate web of interdependencies, uncovering the total IT environment, including the logical relationships between physical, virtual and cloud elements, has never been more important—or more complex. This white paper discusses how IBM’s analytics for logical dependency mapping, ALDM, reengineers the IT discovery process to provide a more complete and accurate view of the IT infrastructure.
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reengineering, it discovery, analytics, visualization, interdependencies, it environment, logic, logical relationships, virtual, cloud, logical dependency, logical dependency mapping, aldm, it infastructure
    
IBM
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