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Published By: Google Apigee     Published Date: Jun 12, 2018
How to move fast, delight customers, and continually innovate to thrive in today’s economy. APIs are much more than system integration technology. They are strategic assets that give companies the ability to adapt to changing customer needs and build breakthrough digital experiences. Google’s new eBook, The API Product Mindset, explains why leading companies now manage APIs as full-cycle products rather than one-time IT projects. Learn how to build a customer obsessed API team that delivers world-class developer experiences and ensures your APIs have enduring business value. Read case studies about how AccuWeather and Pitney Bowes have transformed their businesses with an API product mindset and learn from technology leaders at Magazine Luiza, Telestra and West Corp. What's Inside? ? Learn why APIs are how business gets done in today’s economy ? Get tips to build APIs that developers will love ? Discover why a product mindset is critical to business acceleration CTA: Download eBook
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Google Apigee
Published By: IBM     Published Date: Jan 22, 2016
The Internet of Things (IoT) presents both huge opportunities and huge challenges to the developers of tomorrows 'always-connected' products.
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ibm, agile, product, development, iot, connected products, wireless, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Aug 08, 2016
Hybrid cloud has emerged as the cornerstone for digital transformation, enabling developers to create unique and compelling mobile, IoT, and web applications while extending their IT investments and capabilities. Attend this webinar to learn how you can leverage your WebSphere Application Server infrastructure and investments to maximize performance, lower costs, and successfully move forward into a hybrid cloud world.
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ibm, cloud, hybrid cloud, middleware, application infrastructure, websphere application server, cloud, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Aug 08, 2016
Open Source application developer platforms aren't "free." Download the Total Economic Impact Of Migration From Open Source Application Servers to IBM WAS Liberty, a Forrester Consulting Total Economic Impact Study commissioned by IBM to learn how WAS Liberty can deliver 122% ROI, reduced infrastructure costs by $350K and improved developer productivity by 12% over open source alternatives.
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ibm, middleware, application infrastructure, open source application servers, ibm was liberty, cloud, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Nov 17, 2016
Open Source application developer platforms aren't "free." Download the Total Economic Impact Of Migration From Open Source Application Servers to IBM WAS Liberty, a Forrester Consulting Total Economic Impact Study commissioned by IBM to learn how WAS Liberty can deliver 122% ROI, reduced infrastructure costs by $350K and improved developer productivity by 12% over open source alternatives.
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ibm, middleware, application infrastructure, open source application servers, ibm was liberty, cloud, enterprise applications, business technology
    
IBM
Published By: Redhat     Published Date: Sep 15, 2015
This infographic reveals how open source middleware can help reduce your app development infrastructure costs, improve your developers’ annual app production and reduce cost to manage apps after deployment.
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middleware, open source middleware, red hat, enterprise
    
Redhat
Published By: Fugue     Published Date: Mar 27, 2017
Directed at cloud architecting concerns, this paper covers streamlining complexity at scale, knowing infrastructure state, and using easily repeatable patterns that bolster security, compliance, and disaster recovery. Get this white paper now.
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cloud management, cloud infrastructure management, cloud operating systems, cloud, cloud infrastructure, cloud computing, cloud adoption, cloud migration, devops, aws, amazon web services, cloud operations, cloud ops, continuous delivery, continuous integration, ci/cd, cicd, cloud automation, serverless, lambda
    
Fugue
Published By: Fugue     Published Date: Mar 27, 2017
This paper details that approach to cloud's complex challenges and how an extensible, infrastructure-level cloud operating system like Fugue fits the bill to realize success.
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cloud management, cloud infrastructure management, cloud operating systems, cloud, cloud infrastructure, cloud computing, cloud adoption, cloud migration, devops, aws, amazon web services, cloud operations, cloud ops, continuous delivery, continuous integration, ci/cd, cicd, cloud automation, serverless, lambda
    
Fugue
Published By: Fugue     Published Date: Mar 27, 2017
Check out this report to see why Ovum recommends Fugue’s solution to help developers generate applications that can exploit cloud capabilities and deliver on the promise of the cloud.
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cloud management, cloud infrastructure management, cloud operating systems, cloud, cloud infrastructure, cloud computing, cloud adoption, cloud migration, devops, aws, amazon web services, cloud operations, cloud ops, continuous delivery, continuous integration, ci/cd, cicd, cloud automation, serverless, lambda
    
Fugue
Published By: F5 Networks Inc     Published Date: Mar 30, 2018
In the face of all the challenges presented by the accelerating pace of application development and everexpanding options for deployment, IT organizations are changing how they deliver services. Traditional manual approaches are simply too slow to keep up. Yet, when application teams attempt to circumvent IT in order to speed up deployment, security, performance, and longterm manageability suffer. To get the most out of your multi-cloud deployments, you need to fundamentally rethink how you deliver the right application services that meet current and future needs, consistently across every cloud. Standardization is key. If too much is changing too quickly, start with standardization. As your organization evolves, you will be better positioned to take the next step in making those standardized services accessible to developers through the automation toolchains they rely on.
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multi cloud, organizations, application, security, deployment, performance
    
F5 Networks Inc
Published By: Microsoft     Published Date: Nov 08, 2013
Find out why developers increasingly choose .NET to create new applications faster and more efficiently and why it offers the clearest path from the client/server world to the emerging device/cloud world.
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microsoft, develop better applications, technology guide, business applications, application patterns, devices, web applications, native applications, data-centric business, microsoft office, microsoft sharepoint, mission-critical enterprise, business processes, bring-your-own-device, line-of-business, .net framework
    
Microsoft
Published By: AppDynamics     Published Date: Sep 21, 2017
Perhaps more than any programming language, Java continues to have a profound impact on how people navigate today’s world. Java’s functionality is responsible for setting a great deal of what users expect in terms of performance from their internet-accessible devices. The history of Java is more than two decades long and the language continues to grow and adapt in response to evolving consumer and business expectations. Throughout all of these changes, however, the performance of Java applications remains a paramount concern for developers.
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AppDynamics
Published By: AppDynamics     Published Date: Sep 21, 2017
Azure has been through many rounds of changes that have significantly affected the ways in which .NET and other developers interact with the platform.
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AppDynamics
Published By: ServiceNow     Published Date: Mar 24, 2015
IT departments and the organizations they serve can reap dramatic benefits by codifying and automating unique processes through the development of custom applications. These applications can lower costs, improve agility, quicken time to value, give IT greater control,and bolster productivity throughout IT and among enterprise users. In fact, with the right tools in place, organizations can enable a new class of “citizen developers” who work either in or with IT to create applications and services that are highly responsive to business needs. A platform to enable this type of innovation is not only available, cost efficient and simple to deploy, but it may already be part of your IT environment.
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codifying and automating, custom applications, it control, applications and services, business needs, cost efficient, it environment, it management, enterprise applications
    
ServiceNow
Published By: Oracle     Published Date: Feb 22, 2019
Oracle recently announced a range of self-driving, self-securing, and self-repairing cloud platform autonomous services under the umbrella of its broader PaaS portfolio. Oracle’s autonomous cloud proposition offers the combined benefits of developer productivity, faster time-to-value, and cost savings to its growing cloud services customer base. While Oracle has dedicated substantial investment and resources in developing one of the most extensive PaaS portfolios available in the market, it is the underlying autonomous capabilities that are a key differentiator, making the overall value proposition of Oracle PaaS portfolio more attractive to enterprise users.
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Oracle
Published By: Red Hat     Published Date: Jan 02, 2018
Once upon a time, several generations ago (in technology years), IT departments were internal departments, focused on maintaining infrastructure and services within the company. Some companies may have had external-facing services, particularly web services, but this was still generally a narrow and restricted area. IT wasn’t a revenue-generating or strategic department; it was a supporting environment viewed as a cost center. One of the outcomes of an infrastructure-focused environment is that developers lost a sense of what their code was doing. Release cycles were long, and changes were slow. A developer would work on something and throw the code into testing or operations, and it would be released months later. Because of that long lead time, engineers lost the joy of being a developer—of creating something and seeing it work in real life. One of the great, powerful changes with digital transformation and related cultural and technology changes like DevOps is that it reintroduce
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Red Hat
Published By: Group M_IBM Q1'18     Published Date: Feb 09, 2018
Marketing and technology partners must collaborate as never before in order to delight and engage customers “in the moment.” Previously stove-piped functions are starting to work together to take a holistic approach to create great digital experiences at enterprise scale, but organizations see the need for more work to create relevant, integrated digital customer experiences in real time. IBM commissioned Forrester Consulting to discover how developers and marketers are working together to provide customers exceptional digital experiences reliably, quickly, and seamlessly. The study found that while the mandate to collaborate has been heard, there is still work to be done to move to the next level and put in place technology, processes, and culture to create digital customer experience in real time.
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digital experience, ibm digital, digital experience software
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Jul 02, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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IBM
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q418
Published By: TIBCO Software APAC     Published Date: Feb 14, 2019
Digital business initiatives have expanded in scope and complexity as companies have increased the rate of digital innovation to capture new market opportunities. As applications built using fine-grained microservices and functions become pervasive, many companies are seeing the need to go beyond traditional API management to execute new architectural patterns and use cases. APIs are evolving both in the way they are structured and in how they are used, to not only securely expose data to partners, but to create ecosystems of internal and/or third-party developers. In this datasheet, learn how you can use TIBCO Cloud™ Mashery® to: Create an internal and external developer ecosystem Secure your data and scale distribution Optimize and manage microservices Expand your partner network Run analytics on your API performance
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TIBCO Software APAC
Published By: ABB     Published Date: Mar 21, 2019
Many in the United States’ power generation industry no doubt long for the relative market tranquility of the late 20th century. The generation plants built and operated then were carbon-fueled or nuclear-powered, with a few hydro-electric plants sprinkled in. The economics were largely stable and predictable, often thanks to regulation that shielded utilities from market fluctuations. But even in those simpler times, when the market was far less volatile, there was still much due diligence required when investors and developers were considering multi-milliondollar commitments in new generation projects. Today’s market is more volatile, due in large part to the disruptive effect of low-cost natural gas and the subsequent, rapid growth of affordable renewable energy. As more uneconomical and inefficient generation plants go offline, there is, for the most part, sufficient carbon-free or carbon-reduced generation to meet the growing demand for electric energy. There are pockets of growth
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ABB
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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Group M_IBM Q119
Published By: Amazon Web Services     Published Date: Feb 01, 2018
At Amazon, we’ve been investing deeply in AI for more than 20 years. Machine learning (ML) algorithms drive many of our internal systems, and have formed the core of our customers' experience —from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, and our new retail experience, Amazon Go. Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every executive, developer, and data scientist.
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machine learning, algorithms, interal systems, amazon
    
Amazon Web Services
Published By: Tricentis     Published Date: Mar 13, 2018
Despite all your planning, the release made it to market with some significant bugs, and your company has had to run damage control. Now you’re getting questions about what went wrong, and before you know it, the blame game is in full force, with your developers and testers pointing fingers at one another. So what happened? Whose fault was it really? And what can you do better next time? The truth of the matter is, at a time when the stakes for software development are higher than ever (and only continuing to rise), the blame game simply isn’t going to cut it. And if you’re operating in a true DevOps environment, the finger pointing should never even happen in the first place.
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Tricentis
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