Sponsor: IBM Corporation

Migrating From Open Source Application Servers To IBM WAS Liberty

IBM commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by migrating from open source Java EE application servers to WebSphere Application Server (WAS) Liberty. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of a WAS Liberty migration on their organizations.

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Easily deploy and move enterprise applications in the cloud

The pace of business is accelerating. Mobile and social trends have influenced client engagement models, driving customers to expect new and better application services delivered faster. IBM cloud technology is helping businesses respond to these drivers by changing the status quo, enabling business leaders to fast-track innovation and advance key priorities.

To achieve these results, organizations need to rapidly exploit cloud capabilities across a hybrid environment that includes both on-premises and off-premises options. The IBM PureApplication solution portfolio helps deliver these capabilities quickly and easily.

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The Total Economic Impact of IBM PureApplication System

From the information provided in the interviews, Forrester has constructed a Total Economic Impact™ (TEI) framework for those organizations considering deploying IBM PureApplication System. The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision.

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IBM API Connect

Today’s leading enterprises are undergoing a digital transformation. They are diving into the API economy, in which businesses provide services—and the services of partners—when and where customers want them. They are connecting existing enterprise applications, data and services to new channels of personalized customer engagement. These transformations are driven by:

  • Consumers’ thirst for compelling, omni-channel brand experiences
  • Enterprise leaders’ desire to connect internal groups of developers across lines of businesses to increase reuse of digital assets and accelerate time to innovation
  • Incumbent businesses’ need to compete against new entrants that are offering enhanced experiences—in today’s markets, if you’re not disrupting, you’re being disrupted

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ODM For Dummies

In this IBM limited-edition Dummies book, you’ll learn what operational decision management (ODM) is and how it can benefit your organization by helping to:

  • Enable faster and more agile change so your business can react more quickly to opportunities and threats
  • Automatically capture knowledge so it can be reused to make better business decisions
  • Manage compliance better by providing a clear record of the rules that govern business operations
  • Make operational decisions more predictable and repeatable while also allowing you to model, measure, collaborate on and refine these decisions as your business needs change
  • Improve customer service with more consistent and accurate rules-based decisions, as well as by personalizing the user experience

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BPM For Dummies

Business Process Management For Dummies, IBM Limited Edition, shows you what BPM is and how it can help your organization. You see how the BPM solutions from IBM help you gain many benefits from higher customer satisfaction to greater agility in adapting to changing market conditions.
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APIs for Dummies

This IBM limited edition e-book helps you learn the basics of application programming interfaces (APIs), including:

  • What an API is—and what it’s not
  • What it means to manage an API
  • How to recognize good API design
  • The primary business and IT agendas that lead to API adoption
  • How APIs fit into integration middleware

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Deep Learning – The Next Evolution in Programming

Even if you haven’t recognized it, you’ve benefited from deep learning. Deep learning is an advancement essential to cognitive computing, as it partners computers with humans to help businesses automate labor-intensive processes. This progressive approach allows for a more advanced interpretation of data, and the effects are astounding. With the growth of the Internet and the shift to online business, enterprises worldwide struggle everyday to make sense of the staggering amount of unstructured data. Deep learning offers a solution.
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Putting Watson Developer Cloud to Work: News Inc.

A new generation of API provider is packing the power of PhD-grade science, natural language processing, deep learning, image recognition and the semantic Web into something as simple as a basic RESTful API call. This makes it possible for organizations of all types and sizes to benefit from the experience, expertise and intelligence of a team of PhDs—without having to actually find and employ them. How is this all possible? In this case study from ProgrammableWeb, you can see the source code behind one company’s API implementation.
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3 Battle Plans for Surviving Enterprise Mobility

Today’s mobile workforce demands connectivity for a growing number and increasing variety of devices from laptop to smartphone, tablet, wearables and whatever will shortly come next. Additionally, users want to connect from anywhere, using any network, sans the cumbersome calls to VPNs.

This Battlecard gives IT the plans to win the command and control employee mobility demands:
  • Phase One: Battlefield Basic Provisions – MDM & MAM
  • Phase Two: BYOD and Containerization
  • Phase Three: Full Enterprise Mobility Management
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Streamline application innovation with APM

For years, application performance management (APM) played an important but largely background role. With the evolution of a digital world where innovation and customer engagement rule, APM is now firmly in the spotlight.

View the IBM webcast featuring Cameron Haight from Gartner, Inc., to learn how APM has evolved alongside DevOps and agile practices.

  • Streamline the innovation process with APM.
  • Evaluate APM tools.
  • Apply APM across the full DevOps tool chain, from development to production.
  • Accelerate product releases across hybrid cloud environments with APM.

You’ll also hear from Arun Biligiri, IBM's APM leader, as he discusses how IBM is leveraging its leadership in hybrid cloud and cognitive capabilities to deliver a DevOps-centric APM solution.

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Data Sheet: Hadoop-as-a-Service

IBM® BigInsights™ on Cloud provides Hadoop-as-a-service on IBM’s SoftLayer® global cloud infrastructure. It offers the performance and security of an on-premises deployment without the cost or complexity of managing your own infrastructure.

BigInsights is an industry standard Apache Hadoop offering that helps enterprises cost-effectively manage and analyze big data.

BigInsights on Cloud provides the following features and benefits:
  • Managed operations provide 24 x 7 monitoring
  • IBM Open Platform with current and stable Apache Hadoop components
  • Dedicated bare metal nodes for enhanced performance, data privacy and security
  • High value in-Hadoop analytics features, including Big SQL, Big Sheets, Text Analytics, Big R and Machine Learning

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DataWorks Solution Brief

IBM DataWorks is a fully managed data preparation and movement service for IBM Cloud Data Services. It enables business analysts, developers, data scientists and engineers to put data to work with a simple yet powerful cloud based interface. DataWorks gives both technical and non-technical users across the enterprise a point and click solution to discover, cleanse, standardize, transform and move data in support of application development and analytic use cases.
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Foundational Methodology of Data Science

In the domain of data science, solving problems and answering questions through data analysis is standard practice. Often, data scientists construct a model to predict outcomes or discover underlying patterns, with the goal of gaining insights. Organizations can then use these insights to take actions that ideally influence future outcomes for the better. 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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