Why IoT Needs a Data Integration Strategy

One of the exciting areas of the IoT is its potential to change how we engage with technology and transact business. The move to IoT is providing unprecedented access to data that either didn’t exist before, or was too complicated and expensive to collect. While the Machine to Machine (M2M) era focused mainly on the challenges of connecting devices, the IoT era concentrates on the opportunities presented to businesses who use connected data. This data can provide valuable context for business processes. By collecting and analyzing IoT data, groups within an organization can increase efficiencies with services such as predictive maintenance and route optimization. It can also improve the customer experience by supporting new service experiences such as omnichannel retail and smart home applications.

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Application Performance Management for App-Driven Businesses

Software applications are essential in today’s business environment, where internal and external services are delivered across mobile, social, collaboration, and cloud technologies. Application Performance Management (APM) is strategically important for companies that need to ensure the performance and availability of business-critical software applications -- if an application has problems that impact customers, a business can lose revenues or incur damage to its brand.

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Modernizing and migrating applications for government agencies

Government agencies want to migrate and modernize their applications. This might be as straight forward as migrating from a proprietary application server to an open source Java™ application server, or the modernization of a monolith application into a more modular microservice-driven application. Choosing the right infrastructure to host these migrated or modernized applications is a looming question for clients.

Join this webinar as Red Hat discusses pathways to:

  • Reduce Oracle and IBM maintenance bills by migrating application servers and messaging technology to Red Hat® JBoss® Middleware.
  • Migrate applications to cloud providers like Amazon and Microsoft using the same secure platforms already in your datacenter.
  • Understand the correct migration path for your Linux® containers and microservices.
  • Containerizing applications.

Speakers:
Zohaib Khan, app migration practice lead and PaaS Community of Practice manager, Red Hat
Jason Corey, middleware sales manager, Public Sector, Red Hat

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IoT Upsets Application Development

Before IoT, applications worked using a "request and response" design where information flows in one direction. Now with the emergence of IoT, applications need to be able to flow data both ways and be able to learn from the incoming data to make improvements on-the-fly.

This report will provide you with insight into how applications must now be developed to cater to an IoT world and how you can incorporate machine learning to facilitate IoT data interpretation.

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Evaluating and Choosing an IoT Platform

The Internet of Things (IoT) is transforming how we do business, and the challenge for many companies is to know where to begin. This report examines various features organizations should expect in an IoT platform, as well as the key attributes you should be looking for when choosing a platform vendor.

The author, Matthew Perry, explains what an industrial-grade IoT platform ideally should include, from bidirectional connectivity and distributed computing to availability, scalability, and reliability. You’ll also learn how to assess your IoT strategy and find a vendor that can fulfill your specific needs.

Company Overview

PTC has the most robust Internet of Things technology in the world. In 1986 we revolutionized digital 3D design, and in 1998 were first to market with Internet-based PLM. Now our leading IoT and AR platform and field-proven solutions bring together the physical and digital worlds to reinvent the way you create, operate, and service products.

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The Platform Transformation: How IoT Will Change IT and When

IoT is here to stay. In fact, the IoT platform market is projected to hit $1.6 billion by 2021. IoT makes it possible for businesses to connect to things, people, and locations, manage those connections and harnesses data that can provide insight for businesses.

This report explores key considerations for future-proofing elements of your IT stack and smoothing the transition to IoT components for your business.

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Foundational Elements of an IoT Solution

IoT may seem like a wide array of technologies arranged in a bewildering set of combinations, which is true, but reading this eBook can thankfully break things down for you into clear layers that you can use to inform your mental model of IoT to create your own IoT application. This eBook will teach you how to:

  • Break down IoT into a mental framework to think about your solution
  • Connect, secure and interact with things in the cloud
  • Design and implement with key cloud technologies in mind
  • Wrap up all the information into an application quickly and effectively
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The Business Value of Red Hat JBoss Enterprise Application Platform

The ability to integrate systems and share data across the enterprise is a common datacenter need.

"Integration bus" is a common term that describes the technology used for middleware-based integration. Integration bus needs can vary in complexity, data volume, and required performance.

Download this paper to discover how both Red Hat and IBM offer multiple products that can help customers develop and deploy middleware integration solutions.

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the Power of Integration

Organizations in manufacturing, healthcare, transportation, construction, and media are connecting their enterprises with Red Hat® JBoss®Fuse. With standard, proven integration patterns and more than 150 ready-to-use connectors, Red Hat JBoss Fuse lets organizations integrate applications, services, processes, and data to gain competitive advantage, reduce time-to-market, and lower total cost of ownership.
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Red Hat JBoss Middleware

Helping government innovate faster, work smarter

Government innovation isn’t an oxymoron. Agencies at every level of government are responding to expanding mission requirements and rising citizen expectations by developing new applications and services that take advantage of mobile, cloud, data analytics, and other emerging technologies. They are also looking for ways to automate processes, so they can work smarter and deliver services more efficiently, despite constrained budgets.

But today’s applications and services, and the ways they are consumed, are significantly different than in the past. They must be adaptable and integrate with new and existing applications more efficiently. They must be developed faster, and seamlessly scale across heterogeneous environments that include physical, virtual, mobile, and cloud resources. Unfortunately, the middleware infrastructure used in the past is simply not agile, productive, or cost-effective enough to deliver on these new requirements, causing many agencies to struggle in their efforts to streamline operations and improve services.

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eBook: Deliver Better Oracle Application Performance

Applications owners can now deploy nearly cost-free real-world Oracle database test & QA database environments for their developers by deploying applications on the Pure Storage FlashArray. This prevents problems from entering production environments and unleashes sustainable business agility.
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How to Build a Predictive Analytics Model to Foresee Flight Delays

This tutorial describes how data scientists and developers can build an application to predict flight delays. The app uses machine learning (Spark MLlib), fueled by publicly available airplane flight data and enriched with weather data, to predict flight delays due to weather conditions. In the event that a delay is likely, the app can also help determine the degree to which the flight will be delayed. To build the app, you will learn how to use a Get-Build-Analyze methodology and the IBM® Analytics for Apache® Spark™ service, which includes an interactive Jupyter Notebook. Learn how to:

  • Collect data from various sources, including weather and flight patterns.
  • Build the data collected, and test a predictive model.
  • Analyze the data for business advantage, and quantify the impact of weather on flight delays.

Get started building this flight prediction application, and gain inspiration for your next data science projects.

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Gartner Names MuleSoft a Leader – Magic Quadrant for Enterprise Integration Platform as a Service

MuleSoft Positioned as a Leader 3 Years in a Row

Read this complimentary copy of the 2016 Gartner Magic Quadrant for iPaaS, and find out why MuleSoft was named a Leader based on completeness of vision and the ability to execute.

  • Expert perspectives on the iPaaS vendor landscape
  • Critical analysis of key differentiators
  • Latest developments in integration technology
  • Industry benchmarks and trends
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