Sponsor: IBM Corporation

Measure and Move Your Mobile App to Greatness

Delivering great apps rather than simply good apps offers significant, long-term benefits in customer loyalty and spend. With companies competing for customers’ precious mobile moments, the opportunity is ripe to meet and exceed customer expectations, and reap the financial rewards.
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The Total Economic Impact™ Of IBM UrbanCode

IBM commissioned Forrester Consulting to conduct their Total Economic Impact™ (TEI) study that examines and quantifies potential return on investment (ROI) for IBM UrbanCode Deploy within an enterprise DevOps environment. The study determined that a composite organization, based on the customers interviewed, experienced an ROI of 482%! Read the Forrester Consulting study and see how IBM UrbanCode brings deployment velocity while reducing release costs.

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The Total Economic Impact™ Of IBM DB2 With BLU Acceleration

Learn about the cost savings and business benefits of DB2 with BLU Acceleration. In a commissioned study, Forrester Consulting evaluated the total economic impact of BLU Acceleration in-memory technology at a financial services client. Download now for detailed results based on interviews and subsequent financial analysis and research.

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In-Memory Databases Put the Action in Actionable Insights

In order to derive business value from Big Data, practitioners must have the means to quickly (as in sub-milliseconds) analyze data, derive actionable insights from that analysis, and execute the recommended actions. While Hadoop is ideal for storing and processing large volumes of data affordably, it is less suited to this type of real-time operational analytics, or Inline Analytics. For these types of workloads, a different style of computing is required. The answer is in-memory databases.
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Follow the Money: Big Data ROI and Inline Analytics

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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Affordable, Scalable, Reliable OLTP in a Cloud and Big Data World: IBM DB2 pureScale

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. It also contrasts this approach, taken in a relational database context, with clustering approaches employed by NoSQL databases and Hadoop applications, showing the importance It goes on to discuss the specific advantages offered by IBM's DB2 pureScale, which is designed to deliver the power of server scale-out architecture, enabling enterprises to affordably develop and manage transactional databases that can meet the requirements of a cloud-based world with rapid transaction data growth, in an affordable manner.

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Data science methodology: Best practices for successful implementations

Often, data scientists construct a model to predict outcomes or discover underlying patterns, with the goal of gaining insights. The flow of IBM's data science methodology ensures that as data scientists learn more about the data and the modeling, they can return to a previous stage to make adjustments, iterate quickly and provide continuous value to the organization.
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The endpoint platform for organizations of every size

Every endpoint connected to your system is a point of vulnerability—a porthole that, if left open, can expose the entire network to disaster. Increasingly aggressive and sophisticated attacks are bypassing traditional security mechanisms, exploiting weaknesses in the vast array of endpoints connected to your system. With the endpoint landscape changing every second, each endpoint must be continuously discovered and monitored so threats can be immediately eliminated in real time—before they can sink the entire ship. To protect the network, each endpoint must be securely managed before, during and after potential cyber-attacks.
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Combating advanced threats with endpoint security intelligence

This white paper discusses how to combat advanced security threats by adopting an integrated, intelligent and automated approach to endpoint security. It will explain how to speed detection of attacks across thousands of heterogeneous endpoints—even employee-owned mobile devices—and correlate the vulnerabilities with other malicious network activity to proactively remediate high-priority risks. The key is in the integration of IBM® BigFix® with IBM QRadar® Security Intelligence Platform. This paper will look at the strategic value of using these solutions together to fight the latest modes of attack.
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The Total Economic Impact of IBM UrbanCode

IBM commissioned Forrester Consulting to conduct their Total Economic Impact™ (TEI) study that examines and quantifies potential return on investment (ROI) for IBM UrbanCode Deploy within an enterprise DevOps environment. The study determined that a composite organization, based on the customers interviewed, experienced an ROI of 482%!

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UrbanCode ROI Calculator

This ROI calculator is intended to help you calculate the benefits and return of deployment automation across three main categories:

• Automating manual work: The simple reduction of deployment effort from automating a previously manual process.
• Reducing script writing and maintenance: Benefits from using pre-built integrations over writing your own scripts and tools to help with a deployment.
• Error prevention: Manual processes are error-prone. Benefits in both production and pre-production are examined

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Best practices for a DevOps Approach with IBM system z

Tools from IBM® Rational® - specifically, IBM UrbanCode™ Deploy, IBM Rational Development and Test Environments for System z®, and IBM Rational Test Virtualization Server—support development on the IBM System z platform, giving you true capabilities to scale DevOps at the enterprise level. Learn more when you read the IBM white paper “Best practices for a DevOps approach with IBM System z.”

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Innovate Like a Start-up, Scale Like an Enterprise

The rewards of digital transformation are vast, but effectively implementing a startup approach to business and development at enterprise scale is a big challenge. Register now for this IBM Point of View white paper describing the IBM Bluemix Garage Method and how you can utilize it to innovate at scale
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Continuous Delivery in the Enterprise

This paper characterizes the three key components of release management modernization and provides case studies illustrating how companies use continuous delivery and DevOps to transform the discipline, suggesting steps to adapt practices so companies can compete better with less risk.
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Whitepaper: DevOps and the cost of downtime

DevOps is bringing technical and business benefits to LOB leaders, the C-suite and IT delivery organizations. This IDC Report states that communicating DevOps business value is critical to securing additional funding and accelerating the rate and course of change in an enterprise.
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