"smart cities" entries

Showcasing the real-time processing revival

Tools and learning resources for building intelligent, real-time products.

Earth orbiting sun illustration

Register for Strata + Hadoop World NYC, which will take place September 29 to Oct 1, 2015.

A few months ago, I noted the resurgence in interest in large-scale stream-processing tools and real-time applications. Interest remains strong, and if anything, I’ve noticed growth in the number of companies wanting to understand how they can leverage the growing number of tools and learning resources to build intelligent, real-time products.

This is something we’ve observed using many metrics, including product sales, the number of submissions to our conferences, and the traffic to Radar and newsletter articles.

As we looked at putting together the program for Strata + Hadoop World NYC, we were excited to see a large number of compelling proposals on these topics. To that end, I’m pleased to highlight a strong collection of sessions on real-time processing and applications coming up at the event. Read more…

Four short links: 25 December 2015

Four short links: 25 December 2015

Smart Cities, Blockchain Innovation, Brain Interfaces, and Knowledge Graphs

  1. Smartest Cities Rely on Citizen Cunning and Unglamorous Technology (The Guardian) — vendors like Microsoft, IBM, Siemens, Cisco and Hitachi construct the resident of the smart city as someone without agency; merely a passive consumer of municipal services – at best, perhaps, a generator of data that can later be aggregated, mined for relevant inference, and acted upon. Should he or she attempt to practise democracy in any form that spills on to the public way, the smart city has no way of accounting for this activity other than interpreting it as an untoward disruption to the orderly flow of circulation.
  2. Second Wave of Blockchain Innovation — the economic challenges of innovating on the blockchain.
  3. Introduction to the Modern Brain-Computer Interface Design (UCSD) — The lectures were first given by Christian Kothe (SCCN/UCSD) in 2012 at University of Osnabrueck within the Cognitive Science curriculum and have now been recorded in the form of an open online course. The course includes basics of EEG, BCI, signal processing, machine learning, and also contains tutorials on using BCILAB and the lab streaming layer software.
  4. Machine Learning with Knowledge Graphs (video) — see also extra readings.

Most of what we need for smart cities already exists

Culture, play, and an emphasis on fair use will help smart cities take root.

The compelling thing about the emerging Internet of Things, says technologist Tom Armitage, is that you don’t need to reinvent the wheel — or the water and sewage systems, or the electrical and transportation grids. To a large degree, you can create massive connectivity by simple (well, relatively simple) augmentation.

“By overlaying existing infrastructure with intelligent software and sensors, you can turn it into something else and connect it to a larger system,” says Armitage. “Yes, you could simply design and construct an entirely new system, but that’s incredibly expensive, it would take a lot time, and you may lose some things (of cultural or architectural value) that you may want to save. It’s better to adapt existing systems to your goals if you have the technology to do it — and we have it.”

Armitage speaks from direct experience. He was one of the collaborators behind Hello Lamp Post, a 2013 Bristol, England, project aimed at engaging people on a deep and intimate level with the urban landscape. In conjunction with PAN Studio and media artist Gyorgyi Galik, Armitage designed software interfaces for Bristol’s “street furniture” — the eponymous lamp posts, of course, but also manholes, post boxes, telephone poles, traffic bollards, and trash cans. Read more…

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The bicycle barometer, SCADA security, the smart city in a disaster (industrial Internet links)

As more data from a sensor-laden world becomes available, we'll need better tools for reducing it to useful, simple, informed prescriptions.

The Bicycle Barometer (@richardjpope) — Richard Pope, a project manager at Gov.uk, built what he calls a barometer for his bike commute: it uses weather and transit data to compute a single value that expresses the relative comfort of a bike commute versus a train commute, and displays it on a dial. It’s a clever way of combining two unrelated datasets and then applying algorithmic intelligence. As more data from a sensor-laden world becomes available, we’ll need better tools like this one for reducing it to useful, simple, informed prescriptions.

Scada Security Predictions: 2013 (IndustryWeek) — Tofino Security founder Eric Byres predicts that 2013 will be the year that tablets start to show up on the plant floor. “We won’t see a full invasion of iDevices on the plant floor in 2013,” he writes, “but the wall will be breached.” Security researchers I’ve spoken with usually say that iOS is a remarkably secure platform, but connecting more devices to industrial control systems means more endpoints that make the job of securing an industrial system much more complicated.

Adaptation (The New Yorker, subscription required for full article) — Some smart-city systems, especially targeted communications and infrastructure monitoring, have become important elements of disaster preparedness. Read more…


Industrial Internet links: smart cities return, pilotless commercial aircraft, and more

Small-scale smart city projects; the industrial Internet as part of big data; a platform for smart buildings

Mining the urban data (The Economist) — The “smart city” hype cycle has moved beyond ambitious top-down projects and has started to produce useful results: real-time transit data in London, smart meters in Amsterdam. The next step, if Singapore has its way, may be real-time optimization of things like transit systems.

This is your ground pilot speaking (The Economist) — Testing is underway to bring drone-style remotely-piloted aircraft into broader civilian use. One challenge: building in enough on-board intelligence to operate the plane safely if radio links go down.

How GE’s over $100 billion investment in ‘industrial internet’ will add $15 trillion to world GDP (Economic Times) — A broad look at what the industrial Internet means in the context of big data, including interviews with Tim O’Reilly, DJ Patil and Kenn Cukier. (Full disclosure: GE and O’Reilly are collaborating on an industrial Internet series.)

Defining a Digital Network for Building-to-Cloud Efficiency (GreentechEnterprise) — “Eventually, the building will become an IT platform for managing energy a bit like we manage data today. But to get there, you don’t just have to make fans, chillers, lights, backup generators, smart load control circuits and the rest of a building’s hardware smart enough to act as IT assets. A platform — software that ties these disparate devices into the multiple, overlapping technical and economic models that help humans decide how to manage their building — is also required.” Read more…


"Spontaneous collaboration" and other lessons from the private sector

Padmasree Warrior on the tools and technology governments should harness.

In this wide-ranging interview, Cisco CTO Padmasree Warrior weighs in on smart cities, how the signal-to-noise ratio of social media can be managed, and why open government — if done right — can improve the speed and quality of decisions.

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