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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     Published Date: Apr 17, 2012
IBM social content management provides content in context -- to share ideas, locate expertise, and access relevant knowledge via professional social networks.
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ibm, social content, social media, technology, digital content, business technology
    
IBM
Published By: athenahealth     Published Date: May 24, 2012
Health care providers cope with an avalanche of complex rules, regulations, and administrative processes just to run their practices. At the same time, costs are increasing and reimbursement rates are declining. The only way for a practice to achieve financial health in this demanding environment is to learn how to operate at peak performance level.
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healthcare, cost, ibm, asset management, service management, technology
    
athenahealth
Published By: athenahealth     Published Date: Jun 06, 2012
Find answers to a number of common questions about EHR adoption and replacement, as well as, how the right EHR can help practices get you more money and more control.
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healthcare, cost, ibm, asset management, service management, technology
    
athenahealth
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, business technology
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
What if your organization could take advantage of emerging business opportunities by deploying new applications faster?
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enterprise, applications, cloud, organization
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
PureApplication Enterprise Grade System, Service, and Software Options
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hybrid cloud, ibm, software options, cloud strategy, enterprise
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
This brochure looks at how you can accelerate and simplify application delivery.
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application delivery, enterprise, hybrid cloud, management, ibm
    
IBM
Published By: IBM     Published Date: Feb 02, 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, data, analytics, digital marketing
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Discover what it takes to deliver truly proactive care to customers and find out how active customer experience management can deliver significant business benefits in the form of cost savings, reduced churn, and increased revenue.
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ibm, customer management, customer loyalty, analytics, data, telecom, data science
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Advanced analytics can provide extremelyvaluable insight into today’s media viewers. This must-read report details the top 10 best practices for successfully implementing data analytics for driving profit, attracting new viewers, and increasing viewer loyalty.
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ibm, big data, analytics, media, entertainment, data analytics, research, data science
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Read this report to gain more insights from the Telecoms.com Intelligence survey, and learn why telecommunications operators need analytics to understand their customers—and maintain their loyalty.
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ibm. telecom, data, analytics, customer management, customer loyalty, telecom, data science
    
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, data science
    
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
    
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
    
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
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support.
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ibm, always on business, cloud, big data, oltp, ibm db2 purescale, networking, knowledge management, enterprise applications, data management, business technology, data center, data science, data storage, data security
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
This white paper is written for SAP customers evaluating their infrastructure choices, discussing database technology evolution and options available.
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ibm, always on business, analytics, database, database platform, sap, blu, db2, networking, knowledge management, enterprise applications, storage, data management, business technology, data storage, data security
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
This ebook presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
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ibm, database, database change, analytics, networking, knowledge management, enterprise applications, platforms, storage, data management, data storage
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
A rewarding customer experience is the central aim for luxury gift company 1-800-Flowers.com: a fast, intuitive shopping process helps keep consumers loyal to its brands. Working with IBM, the company has built a master data management (MDM) system that helps deliver a more seamless experience to shoppers across multiple brands and channels.
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1 800 flowers, ibm, e-commerce, case study, master data management
    
IBM
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