The internet of things, people and processes is enabling

March 1, 2016

Today the relationship between the evolving technologies driving the Internet of Things and the business models that these systems could inform is “disconnected” and problematic at best. No single company should look to innovate on their own. Collaborative developer communities will both inform and express the Internet of Things opportunity

Spotlight

Qubole

Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon Web Services, Microsoft and Google Clouds. We were started by the team that built and ran Facebook's Data Service when they founded and authored Apache Hive. With Qubole, a data scientist can now spin up hundreds of clusters on their public cloud of choice and begin creating ad hoc and/or batch queries in under five minutes and have the system autoscale to the optimal compute levels as needed. Please feel free to test Qubole Data Services for yourself by clicking "Free Trial"​ on the website.

OTHER WHITEPAPERS
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Smart solution for sustainable cities

whitePaper | January 8, 2020

The 19th century was a century of empires. The 20th century was a century of states. The 21st century will be a century of cities.” This quote by Wellington E. Webb, former mayor of the City of Denver, seems plausible when you look at the numbers: Although cities cover only a fraction of the Earth’s surface, they are already home to more than half of the world’s population.

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Industrial Internet of Thing

whitePaper | January 2, 2020

The brief report provides a positioning of developments in the area referred to as Industrial Internet of Things (IIoT) – loosely interpreting this as the industrial developments associated with the Internet of Things (IoT). IoT in turn describes the extension of the application of internet communications beyond computers and networked devices to also include the networking of everyday objects. In the context of industrial operations these objects are typically equipment, products and raw materials.

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IoT at the Edge: HOW AI WILL TRANSFORM IOT ARCHITECTURE

whitePaper | May 23, 2021

The vast amounts of data constantly collected by the billions of sensors and devices that make up the Internet of Things (IoT) can pose a serious processing challenge for businesses that rely on traditional intelligence and analytics tools. An emerging solution is to use Artificial Intelligence (AI) and machine learning to build intelligent systems that automatically gather, process, and extract actionable insights from IoT data - in real time without the need for human intervention. How are AI-enabled systems transforming IoT devices and applications at the edge, and what are some of the emerging use cases we can expect to see in the near future?

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Global Industry Standards for Industrial IoT

whitePaper | June 2, 2021

The Industrial Internet of Things (IIoT) is a rapidly expanding world of connected objects. As IIoT systems proliferate, large amounts of data are consumed by machine learning algorithms and shared between partners, customers and others. IIoT is a technology environment in which integration and interoperability are critical capabilities and the complexity of this environment makes this difficult to achieve. Standards play a critical role in IIoT for five main reasons. First, users and vendors cannot engineer a custom interface every time components or systems need to interact. Standards can make this explosion of interfaces manageable; they are the lingua franca for interoperability. For suppliers, this eliminates needless costs related to common capabilities instead encouraging a focus on innovations that add value.

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Accelerating the Impact of Industrial IoT in Small and Medium‑Sized Enterprises

whitePaper | February 12, 2020

Small and medium sized enterprises (SMEs) in the manufacturing sector are being left behind in the Fourth Industrial Revolution. This worrying trend is exacerbating economic inequality, stifling opportunities for social mobility and dragging down global industrial productivity. To benefit from the technological advancements of the Fourth Industrial Revolution, SMEs will need to overcome a range of challenges including a dearth of skilled employees, lack of access to capital and unclear returns on investment, a need to revamp their firm’s infrastructure and processes, a need to update information technology and operational technology, and navigate a nascent technology landscape that is currently poised to serve larger companies.

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Empowering DSOs to secure the Smart Grid

whitePaper | February 6, 2020

As the world’s growing need for energy meets the power of the Internet of Things, the traditional energy marketplace is rapidly transforming. Millions of meters and energy assets are connected and digitized each year, providing enormous benefits to the entire ecosystem: real time tracking of energy production and consumption data, optimized load balancing systems, streamlined operations and billing systems to name a few. As connectivity expands and the landscape is digitalizing, new distributed energy resources (DERs) and stakeholders are able to integrate into and expand the grid. DERs offer non-carbon resources that improve the energy sector’s overall carbon footprint, a key benefit for everyone.

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Spotlight

Qubole

Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon Web Services, Microsoft and Google Clouds. We were started by the team that built and ran Facebook's Data Service when they founded and authored Apache Hive. With Qubole, a data scientist can now spin up hundreds of clusters on their public cloud of choice and begin creating ad hoc and/or batch queries in under five minutes and have the system autoscale to the optimal compute levels as needed. Please feel free to test Qubole Data Services for yourself by clicking "Free Trial"​ on the website.

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