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Digital Experience Changes Everything

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

Hitting the Wall with Server Infrastructure for Artificial Intelligence

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

Hitting the Wall with Server Infrastructure for Artificial Intelligence Whitepaper

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

TIBCO Cloud Mashery

Published By: TIBCO Software     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

TIBCO Cloud Mashery

Published By: TIBCO Software     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

The Complete Guide to Developer Secure Coding

Published By: CheckMarx     Published Date: Apr 03, 2019
Following a paper released by the US Department of Homeland Security, software security is fundamentally a software engineering issue that must be addressed systematically throughout the software development lifecycle.
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CheckMarx

Five game-changing factors to consider before investing in the European power market.

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

Hitting the Wall with Server Infrastructure for Artificial Intelligence Whitepaper

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

Customer Care_Forrester Wave - Conversational Computing

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

Customer Care_Forrester Wave - Conversational Computing

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

Customer Care_Forrester Wave - Conversational Computing

Published By: Group M_IBM Q3'19     Published Date: Jun 24, 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 Q3'19

Machine Learning on AWS

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

Avoiding the Poor Release Blame Game: The Secret to Alignment Between Developers and Testers

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

2015 State of Application Security: Closing the Gap

Published By: Qualys     Published Date: Jun 02, 2015
This paper discusses these challenges and how they are made more complicated by the rapidly accelerating pace of development and lack of control over applications hosted in the cloud.
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application security, sans, developers and protectors gap, builders, defenders, security
    
Qualys

Aternity Streamlines Software Testing and Deployment with VMware

Published By: VMware Dell     Published Date: Jan 31, 2008
Aternity, Inc. is the leader in Frontline Performance Intelligence for Global 1000 enterprises. Two of the biggest challenges Aternity faces as a software developer are: 1) testing its software in different IT environments; and 2) deploying its software at customer sites.  Fortunately, VMware software was able to address both these challenges.
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vmware, software testing, virtual, virtualization, virtualize, virtual server, server, servers, virtual machine, virtual machines, productivity, vmware, infrastructure, server virtualization
    
VMware Dell

Ease into Cloud with JBoss Enterprise Application Platform 6

Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Cloud computing has a lot of appeal, from auto-scaling to lower costs, and it's all just a few clicks away. Thus, the big question is not "why cloud?" but rather "how cloud?"
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cloud, cloud computing, autoscaling, lower costs, applications technology, applications platform, it productivity, application lifecycle, tomcat, java ee, virtualization, multiple platforms, platform-as-a-service, paas, developer productivity, maven, hudson, production support, production maintenance, cloud architecture
    
Red Hat, Inc.

What iOS 9 Means for the Enterprise

Published By: MobileIron     Published Date: Oct 23, 2015
Download this MobileIron whitepaper to learn what IOS 9 means for security, productivity, device and app management, and developers.
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MobileIron

Workload Automation: Accelerate Digital Services Delivery

Published By: BMC Software     Published Date: Jul 22, 2015
Managing Hadoop batch processing may consume a significant portion of application developers’ time and effort, which drives up application development times and costs. This paper from BMC discusses the obstacles IT organizations face in developing and managing Hadoop jobs and workflows and how a workload automation solution can remove these barriers.
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hadoop, batch jobs, workflow, scheduling tools, automation
    
BMC Software

Deliver Chatbots That Propel Your AI Strategy

Published By: Oracle     Published Date: Feb 21, 2018
A basic chatbot isn’t that hard to build. In JavaScript, write a public REST endpoint to connect a Facebook page to some chat logic (botly is a popular option) and deploy the whole thing to run on a cloud platform. Zoom out to the bigger picture, though, and you see that Facebook is just one channel. If you use Skype, Slack, Kik, and digital voice assistants, you’ll have to build six or eight of these endpoints straight away. And chatbots are being asked to handle ever more complex responses, so you better build on a platform of machine learning and natural language processing to keep up. That’s why the question enterprise developers should be asking is not “Which chatbot service do I start with?” but “Which platform will let me crank out a chatbot today and also support multiple channels and integrate with back-end systems as these chatbots take off?”
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Oracle

Oracle Database Cloud Service Quick Start

Published By: Oracle     Published Date: Feb 21, 2018
In this video, you lean how to use your Oracle Database Cloud Service. Find out how to: 1.Create SSH Keys 2. Create a Database Cloud Service Instance 3. Enable Secure Network Access to your Database Instance 4.Access Data with Oracle SQL Developer 5. Monitor Your Database Service Instance with the DBaaS Monitor
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Oracle

A Total Cost of Ownership Comparison of MongoDB & Oracle

Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
MongoDB is an open-source, document database designed with both scalability and developer agility in mind. MongoDB bridges the gap between key-value stores, which are fast and scalable, and relational databases, which have rich functionality. Instead of storing data in rows and columns as one would with a relational database, MongoDB stores JSON documents with dynamic schemas. Customers should consider three primary factors when evaluating databases: technological fit, cost, and topline implications. MongoDB's flexible and scalable data model, robust feature set, and high-performance, high-availability architecture make it suitable for a wide range of database use cases. Given that in many cases relational databases may also be a technological fit, it is helpful to consider the relative costs of each solution when evaluating which database to adopt.
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total, cost, ownership, comparison, mongodb, oracle
    
AstuteIT_ABM_EMEA

Bluewater Reporting: Analytics Consulting

Published By: Bluewater Learning     Published Date: Nov 02, 2018
Would you like to make better-informed decisions about where to invest your time & resources? Are you interested in gaining more insight into what is working, what isn't, & why? There is a movement towards advanced & predictive analytics in the Learning & Talent Management space. But what does that really mean? Bluewater's team of consultants & developers can help you define what analytics means for your company.
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Bluewater Learning

Secure Remote Access to AWS: Why OpenVPN & Jump Hosts Aren’t Enough

Published By: Aviatrix     Published Date: Jun 11, 2018
OpenVPN is a popular and respected solution for enabling remote access to AWS VPCs for IT personnel, cloud developers, and a wide variety of end-user roles. While OpenVPN may be all that is needed to enable cloud access for a few users, it alone cannot meet the needs of growing organizations – particularly those that have security or compliance requirements. Similarly, Bastion hosts or jump hosts are often used when AWS is primarily focused on developers, but these tools likewise have scaling and security limitations. As part of our fact-filled AWS Bootcamp series, Aviatrix CTO Sherry Wei and Neel Kamal, head of field operations at Aviatrix, review key requirements and compare the remote user VPN options available for managing and securing access to AWS VPC resources. They also demonstrate features that ensure your remote access tools and methodology are “enterprise cloud-ready.” Who Should Watch? Anyone responsible for connectivity of cloud resources, including cloud architects, cloud
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aws, aws vpc, aws openvpn, aws bastion, aws remote access
    
Aviatrix

Creating World-Class Developer Experiences Inside the API Product Mindset

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

Maximizing the Business Value of Digital Assets Through API Monetization

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
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