cloud analytics

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Published By: IBM     Published Date: Jul 11, 2012
This paper discusses the challenges of managing applications in highly dynamic IT environments such as public and private Clouds. Modern enterprise applications are engineered for agility and are frequently deployed over flexible IT infrastructures.
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modern applications, architectures, infrastructure, cloud, dynamic it, web traffic, scalability, reliability, flexibility, public cloud, private cloud, mission-critical applications, custom applications, service oriented architecture, soa, virtualization, addm, diagnostics, discovery, end-user monitoring
    
IBM
Published By: IBM     Published Date: Mar 22, 2013
This whitepaper discovers how by implementing cloud computing across 6 fundamental workloads can transfer the way whole groups employees do their jobs, enabling them to speed new development and uncover new sources of revenue.
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ibm, cloud computing, erp, bi tools, workload selection, analytics, lower cost of ownership, workforce, employee production, mobile workers, business intelligence, enterprise resource planning, workforce management, productivity, virtualization
    
IBM
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
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
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cloud, mobility, social business, big data, external threats, business risks, business continuity, financial stability, brand reputation, protecting reputation, prevent theft, organizational defenses, global analytics, broad data, real time data, security risks, prevent risks, security, monitoring, wireless security
    
IBM
Published By: IBM     Published Date: Oct 10, 2013
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
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ibm, cloud, mobility, social business, data, big dta, theft, cyber theft, cyber criminals, security, security risks, global analytics, visibility, data sets, protection, external threats, risk, risk management, finanical stability, it 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
Published By: IBM     Published Date: Nov 12, 2013
IBM SmartCloud Solutions is a unique portfolio of SaaS and BPaaS capabilities that accelerate business process innovation, deliver business analytics at the point of impact, and enable collaboration within and across the enterprise. Learn how to leverage a growing portfolio of 80+ IBM SasS and BPaaS solutions, accelerate your business process innovation, deliver business analtyics at the point of impact and connect people with collaborative business networks.
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software as a service, saas, saas solutions, business process innovation, analytics, bpaas, business process as a service, network management, network performance, network performance management, remote network management, business analytics, marketing automation, cloud computing
    
IBM
Published By: IBM     Published Date: Nov 12, 2013
Today IBM offers more than 80 cloud-based business solutions through software-as-a-service. IBM SmartCloud Solutions accelerate innovation for the enterprise across business processes, deliver business analytics at the point of impact, and connect people with collaborative business networks. Learn more at ibm.com/saas
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software as a service, saas, saas solutions, business process innovation, analytics, business process as a service, knowledge management, enterprise applications, cloud computing
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
Many organizations and agencies would like to improve their debt collection. They are aware that advanced analytics can help them optimize collections to drive down company debt and collection expenditures. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
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ibm, analytic answers, prioritized collections, collection agencies, debt collection, constrained budgets, constrained resources, the cloud, analytics technology, predictive and prescriptive, effective collection, up-to-date insights, trends and patterns, capital expenses, operational changes, data-driven, visual trends, potential opportunities, potential threats, business goals
    
IBM
Published By: IBM     Published Date: Mar 12, 2014
Businesses that build strong analytically oriented teams, adopt new ways to use information and take advantage of the power of the cloud can jump ahead of their competition.
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ibm, business analytics, cloud, cloud analytics, cloud platform, data, trends, ibm smartcloud, ibm smarter analytics, analytical applications, cloud computing
    
IBM
Published By: IBM     Published Date: Jul 22, 2014
Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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ibm, cloud, cloud storage, storage, storage environment efficiency, environment efficiency, data protection, data driven analytics, storage systems, storage costs, it budget, it management, database security, cloud computing, infrastructure
    
IBM
Published By: IBM     Published Date: Oct 14, 2014
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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it trends, data center strategies, cloud computing, mobile technology, it management, data management, business intelligence
    
IBM
Published By: IBM     Published Date: Nov 04, 2014
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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cloud computing, it efficiency, cloud storage, data protection, it management, data management, virtualization
    
IBM
Published By: IBM     Published Date: Nov 06, 2014
In this webcast, you’ll learn how IBM® SmartCloud® Analytics—Predictive Insights helps you prevent application degradation and service outages.
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operations analytics, it analytics, service outage prevention, monitoring management solutions, it management, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 09, 2015
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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it trends, mobile technology, social collaborition, data analytics, big data, data center strategy, it management, knowledge management, enterprise applications, data management, data center
    
IBM
Published By: IBM     Published Date: Jan 14, 2015
Cloud-delivered big data analytics presents an enormous opportunity for organizations that want to become more agile, more efficient and more competitive. To capitalize on the full potential of this opportunity, businesses need cloud-enabled big data analysis solutions that are flexible, simple, secure and open.
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big data, data management, the cloud, cloud solutions, data, data analytics, client engagement, computing model, scale on demand, cloud computing, data center
    
IBM
Published By: IBM     Published Date: Jan 23, 2015
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Watch this webinar to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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storage environment, cloud storage, it efficiency, cloud agility, data-driven analytics, it management, knowledge management, enterprise applications, data management
    
IBM
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: Mar 18, 2015
More and more companies are moving to the cloud for B2B services, and for good reason. There’s a huge potential for increased visibility and analytics-driven insights to be gained from B2B transactions that can give businesses unprecedented levels of information. But many organizations continue to struggle when it comes to going beyond basic transactional data and historical performance metrics. What does it take to not only report on past activity, but to get real-time alerts, predict future events, manage exceptions, and proactively leverage this wealth of data in order to put it to work? Read this IBM white paper to find out how B2B Services Reporting and Analytics provide new insights into your trading partner relationships and to drive better, more profitable business decisions.
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b2b services, ibm, b2b analytics, b2b reporting, transactional data, trading partner relationships, it management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Apr 07, 2015
Future proof your investment with IBM WebSphere - Your gateway to cloud, mobile and Internet of Things.
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ibm, websphere, cloud, mobile, analytics, iot, tibco, migrate, solutions, mobile computing, middleware, content integration, content management system, information management, productivity, cloud computing
    
IBM
Published By: IBM     Published Date: Apr 07, 2015
This report explores how cloud-based solution providers, such as managed service providers (MSPs) and independent software vendors (ISVs) are using an embedded approach to analytics in an effort to empower their customers and build a competitive advantage.
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ibm, cloud computing, analytics, business intelligence, distributed computing, mobile computing, application integration, ebusiness, web service management
    
IBM
Published By: IBM     Published Date: Jun 16, 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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enterprise infrastructure, big data, mobility, data center, it infrastructure, it security technologies, virtualizing infrastructure, converging technologies, analytics, mobile computing, application integration, best practices, business analytics, business intelligence, business process automation, risk management, server virtualization, database development, data integration, cloud computing
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
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.
Tags : 
data center, predictive analytics, data center strategy, resilient infrastructure, cloud computing, social collaboration, business analytics, emerging technologies, virtualization, automation, infrastructure, mobile computing, mobile data systems, best practices, business activity monitoring, business process automation, enterprise software, server virtualization, collaboration, employee performance
    
IBM
Published By: IBM     Published Date: Jun 16, 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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cloud computing, mobility, big data, business analytics, it security landscape, enterprise networks, cloud integration, virtualization, infrastructure, mobile computing, mobile data systems, best practices, server virtualization, data integration, data center design and management
    
IBM
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