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Published By: IBM     Published Date: Oct 13, 2016
Compare IBM DB2 pureScale with any other offering being considered for implementing a clustered, scalable database configuration see how they deliver continuous availability and why they are important. Download now!
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data. queries, database operations, transactional databases, clustering, it management, storage
    
IBM
Published By: IBM     Published Date: Jan 09, 2017
This report from IBM Emergency Response Services discusses four key trends in cybersecurity based on field experience in responding to client security incidents.
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ibm, security, services operations, ibm emergency response services, cybersecurity, cyber crime, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 09, 2017
Reviewing a year of serious data breaches, major attacks and new vulnerabilities. The IBM X-Force 2016 Cyber Security Intelligence Index offers a high-level overview of the major threats to businesses worldwide in 2015.
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ibm, security, ibm x-force, cyber security intelligence index., cyber security, intelligence, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage. The IBM® data replication portfolio is designed to address these issues through a highly flexible one-stop shop for high-volume, robust, secure information replication across heterogeneous data stores. The portfolio leverages real-time data replication to support high availability, database migration, application consolidation, dynamic warehousing, master data management (MDM), service
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ibm, infosphere, data replication, security, data storage
    
IBM
Published By: IBM     Published Date: Oct 03, 2012
This white paper from IBM showcases five organizations that are strategically integrating emerging social software and tools with their existing investments and seeing measurable results in return on investment.
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social business, ibm social software, global workforce, collaboration, social technology, online experience, web experience, content delivery, customer experience management
    
IBM
Published By: IBM     Published Date: Mar 13, 2014
This report will discuss IBM EXA efforts and technologies, examine the features and capabilities that new X6 solutions deliver and consider how these offerings will benefit midmarket and enterprise customers and impact the broader market.
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ibm, server design, memory, processor, software, processing power, data, exa, enterprise, enterprise software
    
IBM
Published By: IBM     Published Date: Mar 13, 2014
3 factors are needed by an infrastructure to optimize cloud performance, this eBook shows how IBM System x uses all 3 to increase business agility and reduce costs.
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ibm, server design, memory, processor, software, processing power, data, cloud performance, business agility, enterprise software, database development, cloud computing
    
IBM
Published By: IBM     Published Date: Mar 13, 2014
This report takes an in-depth look at the primary challenges facing IT and how the IBM X6 Portfolio can deliver the performance needed as a solution to these challenges.
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ibm, enterprise applications, data, server, memory, storage, management platforms, storage management, application performance management, enterprise software
    
IBM
Published By: IBM     Published Date: Mar 13, 2014
A detailed research report into the x86 server limitations and how IBM X6 offerings help address these limitations
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ibm, server design, memory, processor, software, processing power, data, enterprise software, design and facilities
    
IBM
Published By: IBM APAC     Published Date: Jun 24, 2019
Every organization strives for more cyber resilience. The Ponemon Institute’s fourth annual study on “The Cyber Resilient Organization” uncovered that there is a set of habits or practices that the most cyber resilient organizations undertake to achieve greater states of cyber resilience. Download this report to review the key findings; including: • The impact of the skills gap • How complexity can be the enemy of cyber resilience • Lessons learned from high achieving cyber resilient organisations • The importance of incorporating the privacy function in your strategy. Join the IBM Security online community to learn from the shared knowledge and experiences of your peers and IBM Cyber Elites to tackle complex business problems.
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IBM APAC
Published By: IBM APAC     Published Date: Jun 24, 2019
Threats have become a board-level concern and it’s fueled a spending spree in security products over the last two years. So why don’t companies feel more prepared to identify and respond to these threats? For many organizations, disconnected point solutions have increased the complexity of their security environments, making it difficult to respond quickly to threats – and nearly impossible to demonstrate ROI. IBM Security commissioned Forrester Consulting to evaluate the state of security complexity and the effect it is having on security efficiency and effectiveness. In the study, many respondents reported taking steps to simplify their security environments and the results are promising. Fill out this form to read more about it.
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IBM APAC
Published By: IBM APAC     Published Date: Jun 24, 2019
Your security products send alerts when a cyber attack strikes. Your incident response plan tells you what to do to block the attacker’s action and recover normal operations. But do you know how or where the attacker was able to get into your environment? Do you understand the tactics, techniques and procedures the attacker used? In short, to move to the next level of security, organizations need a way to both understand and manage threat intelligence. Because an organization that can uncover the context of a threat can also better respond to it. Learn more about the impact of security threats from this whitepaper. Join the IBM Security online community to learn from the shared knowledge and experiences of your peers and IBM Cyber Elites to tackle complex business problems.
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IBM APAC
Published By: FinancialForce     Published Date: Dec 01, 2017
Mention artificial intelligence (AI) to a person on the street, and you'll conjure up Hollywood visions ranging from the humanity-crushing Skynet of the Terminator series to the robot love interests in Her or Ex Machina. Perspectives on the tangible impact of AI similarly range from Elon Musk's declaration of AI as "the greatest risk we face as a civilization" to IBM Chief Science Officer Dr. Guruduth Banavar's belief that "we've never known technology that can have a greater benefit to all of society than artificial intelligence". The reality, especially in the short term, likely lies somewhere between these extremes.
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FinancialForce
Published By: Splunk     Published Date: Aug 17, 2018
Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations. Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter. Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to: Enable a business aware IT organization Unlock operational efficiencies Solve problems with predictive analytics
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: Splunk     Published Date: Aug 22, 2018
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution. Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments. Download your complimentary copy to: *Gain insight into the developing industry of AIOps and its future *Learn how to optimize IT operations powered by machine learning to drive business value *Compare different AIOps platform vendors and their range of capabilities
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: IBM APAC     Published Date: Mar 06, 2019
The 2019 IBM X-Force Threat Intelligence Index looks back at the threats, tactics, and trends that emerged in 2018 based on insights from IBM X-Force Security Research Team. Deriving data and insights from security clients, incident response services and penetration testing engagements, the IBM X-Force Threat Intelligence Index 2019 report outlines the most prominent threats and provides key insights into various industries, attack tactics, and major vulnerabilities that emerged during the year.
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IBM APAC
Published By: IBM APAC     Published Date: Mar 06, 2019
A cyber resilient enterprise is one that can prevent, detect, contain and recover from a myriad of serious threats against data, applications and IT infrastructure. The Ponemon Institute and IBM surveyed more than 2,848 IT and IT security professionals from around the world and released the findings of the third annual study on the importance of cyber resilience for a strong security posture.
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IBM APAC
Published By: IBM     Published Date: Dec 29, 2015
This book helps you understand DevOps and how your organization can gain real business benefits from it. You also discover how a holistic view of DevOps that encompasses the entire software delivery life cycle.
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ibm, devops, software delivery, life cycle, it management, knowledge management
    
IBM
Published By: IBM     Published Date: Dec 29, 2015
This paper will explore best practices for identifying and eliminating seven types of waste: Waiting, handoffs and task switching, motion, extra processes, extra features, partially completed work and defects.
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ibm, software delivery, task switching, eliminate waste, defect, software development, it management
    
IBM
Published By: IBM     Published Date: Dec 29, 2015
Application development teams are striving to be leaner by eliminating tasks that do not add value and by preserving existing IT investments.
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ibm, software delivery, application development, it management
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Read this whitepaper published by Heavy Reading and sponsored by IBM to look at why network service quality matters to customer loyalty and CSP attitudes to improve it and discover how CSPs can correlate customer loyalty indicators like Net Promoter Scores with network and service quality metrics to help drive better business and operational performance
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ibm, telecom, analytics, customer management, customer loyalty, network service, business analytics, business intelligence, analytical applications
    
IBM
Published By: IBM     Published Date: May 17, 2016
Analyst Mike Ferguson of Intelligent Business Strategies writes about the enhanced role of transactional DBMS systems in today's world of Big Data. Learn more about how Big Data provides richer transactional data and how that data is captured and analyzed to meet tomorrow’s business needs. Access the report now.
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ibm, intelligent business solutions, big data, transaction data, business analytics, business intelligence
    
IBM
Published By: IBM     Published Date: May 17, 2016
Is your data architecture up to the challenge of the big data era? Can it manage workload demands, handle hybrid cloud environments and keep up with performance requirements? Here are six reasons why changing your database can help you take advantage of data and analytics innovations. 
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ibm, business analytics, business intelligence, data, analytics, database, database development, database security
    
IBM
Published By: IBM     Published Date: May 17, 2016
Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
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ibm, big data, inline analytics, business analytics, roi, business intelligence
    
IBM
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