How Big Data and the Internet of Things Create Smart Cities

The Internet of Things may be giving over to the Internet of Everything as more and more uses are dreamed up for the new wave of Smart Cities.
In the Internet of Things, objects have their own IP address, meaning that sensors connected to the web can send data to the cloud on just about anything: how much traffic is rolling through a stoplight, how much water you’re using, or how full a trash dumpster is.
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The Internet of Things (IoT) and Analytics at The Edge

The Internet of Things (IoT) promises to change everything by enabling “smart” environments (homes, cities, hospitals, schools, stores, etc.) and smart products (cars, trucks, airplanes, trains, wind turbines, lawnmowers, etc.). The article discusses the importance of moving beyond just collecting the data, to transitioning to leveraging this new wealth of IoT data to improve the decisions that these smart environments and products need to make: to help these environments and products to self-monitor, self-diagnose and eventually, self-direct.
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Big Data: What it is and how your business stands to benefit

Chances are your company is swimming in data. From handwritten notes to computer-generated information, you have a ton of data that can be used to gain new insights, make important businesses decisions and sometimes even predict the future.
On the surface, this large amount of data is simply a benefit, but it comes with one major caveat: with so much information, it’s often challenging to find a pragmatic way to leverage data for business optimization.
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Quantum Computing and Deep Learning. How Soon? How Fast?

Quantum computing is now a commercial reality. Here’s the story of the companies that are currently using it in operations and how this will soon disrupt artificial intelligence and deep learning.
Like a magician distracting us with one hand while pulling a fast one with the other Quantum computing has crossed over from research to commercialization almost without us noticing.
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Blockchain, digital trust and distributed ledger technology – going big business

Blockchain or distributed ledger technology revolves around an encoded and distributed database serving as a ledger whereby records regarding transactions are stored. At the core blockchain is an innovative database approach with a data model whereby cryptography (encryption) is utilized in each transaction update and verifications become possible across the specific blockchain network, depending on its goal and stakeholders.
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Unstructured data: turning data into actionable intelligence

Traditionally, data professionals and information managers distinguish three types of data: structured, unstructured and, you guessed it, semi-structured. Some also talk about “quasi-structured”, “multi-structured” and “hybrid data” but in this article we’ll keep it simple. Although there are debates about the structure surrounding unstructured data and much more, it’s important to look at what these three types of data essentially mean, where they come from, how they are used and, most of all, how they can generate value. As the title already indicates, unstructured data is our major focus here.
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CloudWATCH Cloud Market Roadmap Final Iteration

The Final Version of the roadmap charts how the cloud computing market has changed in the last 14 months. With a foreword from Pierre Chastanet, Acting Head of the European Commission’s Unit E2 Cloud & Sofwtare Services, this document makes recommendations to key stakeholders for actions to mitigate risks of market failure, and deliver a stable cloud computing market.
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10 Principles of Digital Transformation

Digital transformation affects every company. Along with the availability of large amounts of data and new processing capabilities comes the development of new business models that can disrupt markets. This paper presents 10 principles about what should be expected and how companies must shape their software landscape to be well-positioned for digital transformation.
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CloudWATCH Cloud Market Roadmap First Iteration

A Preliminary Version of the Cloud Market Roadmap highlights a number of risks to the global cloud computing market and hence to the digital economies that rely upon its on-demand computing capabilities. At that time, it was very unclear as to whether the market structure would evolve into a healthy, sophisticated market that encourages competition, or if its evolution would stall as a result of the dominant providers protecting their interests.
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