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Results 1 - 25 of 177Sort Results By: Published Date | Title | Company Name
Published By: MuleSoft     Published Date: Apr 15, 2019
The future of financial services is under pressure from profound digital disruption. Across the globe, there are forces, both regulatory and customer-led, that open up the market to new entrants and disrupt what customers are buying — and how. The advent of Open Banking is one major influence, with Open APIs paving the way for third-party developers to build applications and services independently. This whitepaper outlines the challenges facing financial services firms and how a new approach to enterprise integration — API-led connectivity — can help banks and financial services firms not only survive, but thrive in an increasingly competitive future. Download this whitepaper to learn: What financial services firms should do about Open Banking, based on the experiences of the impact of PSD2 in Europe How an API strategy could define the future of financial services How a global bank successfully completed a digital transformation initiative
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MuleSoft
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
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 Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
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 Q2'19
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: IBM APAC     Published Date: Mar 06, 2019
The Forrester Study on cost savings and business benefits enabled by Watson Studio and Watson Knowledge Catalog. Watson Studio provides a suite of tools for data scientists, application developers, and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy machine learning models at scale. The Forrester provides readers a framework to evaluate the potential financial impact of the Watson Studio and Watson Knowledge Catalog investment on their organizations.
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IBM APAC
Published By: Google Apigee     Published Date: Mar 06, 2019
Inside the API Product Mindset APIs expose data or functionality for use by applications and developers, which means they allow access to a business’s valuable digital assets—and thus to the heart of the business itself. Vulnerable APIs can expose a business’s core data and services to a variety of threats. Therefore, API security should be of paramount importance to any enterprise that exposes digital assets. Google Cloud’s new eBook, Building and Managing Secure APIs, takes a deeper look at the do’s and don’ts of enterprise API security. Explore how to design secure, easy-to-use APIs with field-tested best practices, real-world use cases and a checklist to help your team get started. What's Inside? ? Field-tested best practices ? Real-world use cases ? API monetization checklist
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Google Apigee
Published By: Google Apigee     Published Date: Mar 05, 2019
API monetization is a key way to unlock value from your API programs and increase API adoption. Monetization enables API providers to reach beyond current business models, scale API programs, and open new opportunities with customers, developers, and partners. Google Cloud’s new eBook, Maximizing the Business Value of Digital Assets Through API Monetization, maximizing the business value of digital assets via API monetization. Read the real-use cases and learn about best practices to realize additional value from your API products. Explore how to generate revenue from API products and grow API programs with field-tested best practices, real-world use cases and a checklist to help your team get started. What's Inside? ? Field-tested best practices ? Real-world use case: Telstra ? API monetization checklist
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Google Apigee
Published By: Google Apigee     Published Date: Feb 15, 2019
This is the age of API-driven businesses and enterprises need to create great developer experiences to build an ecosystem for their APIs. Many enterprises now view developers as one of the most essential actors in their value chains—the people who translate digital assets into digital experiences that move the business needle. Google Cloud’s new eBook, Creating World-Class Developer Experiences, takes a deeper look at creating world-class developer experiences. Learn about best practices for engaging developers and how to launch a developer portal that speeds adoption or your API products.. Explore how to delight developers and grow API programs with field-tested best practices, real-world use cases and a checklist to help your team get started. What's Inside? ? Field-tested best practices to delight developers and grow API programs ? Real-world use case: AccuWeather ? Developer experience checklist CTA: Download eBook
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Google Apigee
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: 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: Delphix EMEA     Published Date: Jan 17, 2019
“In the rush to develop apps faster and deliver more, it’s easier than ever for things to fall through the cracks, like every hasty +1’ed dev/test environment creating a potential security minefield of unmasked sensitive fields. Without the right dev processes, it’s not just security that suffers. With the typical developer spending around 12-hours a week on tasks like setting up and configuring environments or relying on worthless fake data, productivity and quality often fall victim too. Download the Developer Confessions chapter to discover the biggest frustrations we hear from developers, how to balance access to data with data security, and proven ways to speed up developer productivity.”
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Delphix EMEA
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Enterprises use data virtualization software such as TIBCO® Data Virtualization to reduce data bottlenecks so more insights can be delivered for better business outcomes. For developers, data virtualization allows applications to access and use data without needing to know its technical details, such as how it is formatted or where it is physically located. For developers, data virtualization helps rapidly create reusable data services that access and transform data and deliver data analytics with even heavylifting reads completed quickly, securely, and with high performance. These data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases. Data engineers and analytics development teams are big data virtualization users, with Gartner predicting over 50% of these teams adopting the technology by 202
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TIBCO Software GmbH
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: 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: BMC ASEAN     Published Date: Dec 18, 2018
DevOps is fast becoming a core competency required to gain competitive advantage. At its most basic level, DevOps is a team approach to drive agile modern application development and operations to deliver high quality critical digital business services. Cloud services are fundamentally changing the way applications are developed. The near ubiquitous, lowfriction access to cloud computing for developers, who can literally access powerful computing resources at the touch of a keystroke or swipe of a credit card, has fundamentally altered the software development lifecycle (SDLC).
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BMC ASEAN
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: Cisco     Published Date: Dec 11, 2018
You need to be ready to host any application anywhere. Our solution adapts to support all of your applications with the simplicity of hyperconvergence. If your IT organization is like most, you are stretched thin to support your developers as they create multicloud-native applications that they deploy across public and private clouds. And you still need to support line-of-business managers with traditional applications as they use both monolithic and cloud deployment models. I would like to receive email communications about products & offerings from Cisco & its Affiliates. I understand I can unsubscribe at any time. For more information on how Cisco collects and uses personal information, please see the Cisco Online Privacy Statement.
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Cisco
Published By: AWS     Published Date: Nov 16, 2018
"Today’s technology advances at a fast rate. Attempting to adopt modern architectures can uncover a knowledge gap with developers, who might be unfamiliar with new architecture patterns and frameworks. This includes adopting cloud-native architectures to help with greater efficiency and cost benefits. TIBCO’s integration solutions helps enable you to create an environment that simplifies the building of cloud-native applications, with support for modern architectures, such as microservices, event-driven APIs, serverless, and edge deployment. Download this solution brief to see how you can help accelerate your development on AWS cloud by: • Helping reduce your costs with modern application microservices and functions • Seamlessly migrating your integration workloads to Amazon Elastic Container Service using out-of-the-box migration utilities • Connecting your cloud, on-premises, and edge data sources, regardless of data formats "
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AWS
Published By: CheckMarx     Published Date: Nov 02, 2018
In today’s era of digital transformation, time-to-market is the new name of the game, and DevOps is changing the way software is built. As developers have taken on a much larger role in the software development lifecycle, including developing secure code, building containers and ensuring quality, security cannot be separated from DevOps and engineering. Unfortunately, traditional software security testing tools have operated in isolation and have forced developers to change the way they work. Checkmarx, however, has developed a more agile and responsive solution: Checkmarx’ Software Exposure Platform. Taking a holistic, platform-centric approach, the platform builds security in from the beginning, supporting all stages of the software development lifecycle, allowing enterprises to deliver secure software at the speed of DevOps while mitigating their business risk. Download the white paper Delivering Secure Software at the Speed of DevOps to learn how Checkmarx provides the combinatio
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CheckMarx
Published By: ABB     Published Date: Oct 31, 2018
In 2017, Europe produced more Of its electricity from solar, wind and biomass resources than from coal. Today's market is more volatile, with greater variability in energy sources due in large part to the desire to reduce environmental damage. The European Union (EU) is on track to achieve its 2020 goal of reducing greenhouse gas emissions by 20% compared to 1990 levels l by reducing its reliance on carbon-based power. This paper examines the five most critical variables that investors, developers, and others must recognise in the due diligence process before investing in a new power generation project in Europe.
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energy industry, power market analysis, investor advice, digital technology, automation technology
    
ABB
Published By: Google     Published Date: Oct 26, 2018
In this Forrester Consulting report commissioned by Google, it explores cloud development approaches, preferences, challenges, and benefits among development and IT leaders at global enterprises. Among the key findings, it was clear that cloud is on its way to becoming synonymous with modern and innovative when it comes to applications. It also shows that application developers seek more agile tools with containers and functions that enable greater flexibility. Read the report to find out more.
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Google
Published By: Group M_IBM Q418     Published Date: Oct 26, 2018
What are the benefits and costs of implementing an API Management solution? Forrester Consulting analyzed the Total Economic Impact (TEI) of IBM API Connect, developing a composite organization based on surveys of 32 IBM customers. Some of the key questions answered by this paper are: • What are the costs associated with IBM API Connect, and what returns can I expect for my business? • What are the benefits, both financial and business, that I can expect from API Connect? • What's the financial impact of API Connect on developing new opportunities for businesses, developers, and customers? Read on to learn about the financial benefits of choosing API Connect as your API management solution.
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Group M_IBM Q418
Published By: Pure Storage     Published Date: Oct 09, 2018
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude
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Pure Storage
Published By: Group M_IBM Q418     Published Date: Sep 10, 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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Group M_IBM Q418
Published By: Splunk     Published Date: Sep 10, 2018
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers. For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy. Download this report to learn: How to reduce monitoring blind spots when creating an ITOM strategy How to address ITOM requirements across IT and non-IT groups Distinct layers across ITOM Potential functionality gaps with domain-specific products
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
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