Limited edition early version of my new book – The Telco Data Scientist – A case study approach

I have mentioned this book earlier in the year and it reflects a growing focus on Big Data for futuretext
A brief outline below
The book will be available as a limited edition for Feb 2013
Please contact me for pricing for the early limited edition at ajit.jaokar at futuretext.com 
The book is based on real case studies and insights
The ultimate objective will be to prepare you for the role of a Telco Data Scientist
I define a Telco Data Scientist as someone who performs/ aspires to perform the role of a Data Scientist and uses Telco/Mobile data
The Telco Data Scientist – A case study approach 
According to the Harvard Business School, the Role of the Data scientist will be the hottest job in the forthcoming future.
However, every industry will have different considerations for a Data Scientist. Specifically, the Telco industry will have unique considerations and great opportunities.
This book will explore the role and opportunities for a Telco Data scientist
Based on interviews and case studies with Operators and Vendors in this field – the book will provide a practical approach for the Telco Data Scientist
An indicative outline of the Telco Data Scientist 
An introduction to Big Data
The role of the Data Scientist
An overview of the Telecoms Opportunities
Data sets for Telcos
IOT Data
Data monetization and Business models
Case studies and ‘low hanging fruit’
Lessons from early adopters
Monetization strategies
Regulation
Data Quality
Tools and technologies
Understanding and analyzing Telecoms data
Vendor strategies

Chairing first day of conference .. Big Data Monetization in Telecoms

 

 

 

 

I chaired and spoke at the Big Data in Telecoms Monetization conference

This was an interesting conference and much aligned to my work on Big Data and Telecoms

I started with a quote – variously attributed to J Paul Getty - The meek shall inherit the earth – but not its mining rights 

In other words, Data will be free and avaialble and Open but some one will make money out of it (which essentially was the theme i.e. monetization)

I will blog about this conference more when I get more from the speakers ..

But there are many facets

Ex – The business case for Big Data in Telecoms  ..

Who owns? IT/Business

Should it come from IT or business

We should be able to prove a hypothesis and then a real business case

What are the quick wins

Inside vs Outside ROI (inside will be more likely for ROI)

Should we set up as a different business?

Do we need hadoop (hadoop allows us to explore new ideas although existing ways)

Should we set up a seperate Data selling company or a mobile apps company

Worth paying for data that can be used internally

Putting loads of data and not figuring what for rarely works

and much more ..

Will need more blogs ..

some gems from twitter

@AjitJaokar via @yifatkafkafi Best quote today: Big Data’s like teenage sex-everyone talks about it, but don’t know how to do it & think everyone else does #BigDataIQ

@AjitJaokar 5 Nov #bigdatatelecoms #bigdataiq – If you torture data for long enough you can make it say anything you want!

 

Global Forum 2013 – DRIVING THE DIGITAL FUTURE, Opportunities for Citizens and Businesses

 

 

 

 

 

I was looking forward to speaking at this event but I have to be in the USA next year.

This 22nd edition of the Global Forum is co-organized with the Foundation Stock Weinberg and the Sophia Antipolis Foundation

Operating since 1992, the Global Forum/Shaping the Future is as an independent, high profile, international, non-for-profit think-tank dedicated to Business and Policy issues affecting the successful evolution of the Digital Society. Evolving agenda HERE

Among the topics this year are Incentive for Investment, Cross-Boundaries Services Challenges, Broadband/4G Infrastructures,  Evolving Mobile Technologies. These are relevant considering the the Digital single market. Here are some thoughts which balance Open systems, infrastructure investments , innovation and growth.

The goals of  the single market are : “In the face of the deep crisis affecting its economy and society, Europe needs to tap into new sources of growth in areas that will reinforce its competitiveness, drive innovation and create new job opportunities.”

So, it’s a question of balancing investments (public and private) to create a viable ecosystem to create growth

An analogy is sustainable forest management

The stewardship and use of forests and forest lands in a way, and at a rate, that maintains their biodiversity, productivity, regeneration capacity, vitality and their potential to fulfill, now and in the future, relevant ecological, economic and social functions, at local, national, and global levels, and that does not cause damage to other ecosystems.

In simpler terms, the concept can be described as the attainment of balance – balance between society’s increasing demands for forest products and benefits, and the preservation of forest health and diversity. This balance is critical to the survival of forests, and to the prosperity of forest-dependent communities.

So, if we take an ecosystem perspective to achieve a balance for infrastructure, investment, innovation and growth – we have to consider that any finite resource – whether forestry, spectrum, capital investment etc would behave the same.

So, considering a Pan European perspective to create investment, growth and jobs for the Telecoms sector – we need to compare markets where investments have worked.

According to the CTIA  – Since 2000, wireless providers invested more than $296 billion, not including the more than $35 billion in spectrum auction revenues paid to the U.S. government.

So, if spectrum is considered as the limited resource to drive investments, growth and jobs – the question is – how to encourage additional investment (beyond the cost of the spectrum) to create more growth and jobs

Comparing to the American market, we need

a)      More flexibility to reduce the market fragmentation. This means fluidity in the secondary markets (allowing trading, aggregating etc)

b)      Harmonizing spectrum by creating a more homogenous footprints across European markets

c)       Within guidelines – encourage long term ownership for companies who have proven that they see the buying of spectrum only as a first step. To compare to the CTIA stats – the follow on investment of 296 Billion$ is more than 8 times the license (35billion $). This shows commitment beyond the fee (and discourages short term speculators

In other words, any long term investments have some basic fundamental truths – and they apply to forestry and spectrum in the same way

I will probably blog about this event findings after I am back from the USA

 

Webinos and IOT – To boldly go where no node.js has gone before

Accelerating the Open IOT ecosystem

On Nov 22, I am co-moderating an event the event Accelerating the Open Source IOT ecosystem. The event brings together thought leaders and practitioners who are passionate about Open source and IOT.

Here, we are primarily speaking of Royalty free, non proprietary, Open source software for the Internet of Things. Of course, that does not exclude other software paradigms – which are a part of the ecosystem.

In this longish blog post, I will discuss how the webinos project fits in with Open source IOT especially in the context of its role for node.js

I have been leading the webinos IOT hub efforts – the blog comprises of insights and contributions from others at webinos especially  Dr Paddy Byers, Dr Nick Allott, Dave Raggett(W3C) and Giuseppe la Torre

It’s hard to describe webinos .. and I once jokingly said applying a Star Trek analogy that ‘webinos boldly takes node.js where no node.js has gone before!’

So, I will use the paradigm of node.js to explain these ideas

Node.js and webinos

Essentially, in webinos we embed an agent into a device that allows them to be part of the Personal Zone of devices managed by a person. The agent is implemented with Node.js and it enables secure mutual authentication of devices in the Zone. Thus, webinos extends the traditional web runtime with a suite of APIs for discovery, messaging etc.

The analogy of an email server is applicable here. Like an email server, messages are stored in the ‘cloud’ but can be accessed by local devices. But webinos also adds distributed functionality i.e.  services owned by one person can be shared with others (under policy limitations). In an IOT sense, that means a sensor owned by one user can be discovered and shared with another user

Webinos has the following characteristics:

  • Non-proprietary
  • Cross-device
  • Secure
  • Distributed
  • Privacy enabling i.e. which helps users in re-establishing control over your devices and personal data.

webinos can be applied to many industries and applications and is initially focussed on four specific areas or gateways: TV, Automotive, Health and Home Automation Gateways. Note that – this blog and discussion relates only to the Home automation/ IOT areas of webinos.

The description of webinos (non-proprietary, cross-device, secure, distributed platform which helps in re-establishing control over your devices and personal data) sounds daunting but in practice, it means :

a)      Devices you own can be translated into a service that can be discovered and shared with others (based on policy settings) and

b)      Similarly, devices owned by others can be discovered by you as a service and can be accessed (again subject to policy approval).

This has implications for IOT/Home automation/Smart cities

Consider a Smart city scenario:

One department of the city has deployed pollution sensors and temperature sensors. Another department of the city wants access to the same real time information. Indeed, considering Open Data principles, it could be any person – for example developers running a hackathon. In this scenario, the department which owns the sensors can grant access to the sensors to third parties based on Policy scenarios. Indeed, these sensors could become ‘discoverable’ and could be accessed by any third party as needed.

This is achieved through three ways:

  • Open technologies(specifically node.js)
  • Implementation of Personal zones and
  • The webinos Dashboard

Significance of Node.js

(this section – acknowledgements to Dr Paddy Byers)

node.js, or just node, is a runtime environment based on Javascript (JS). It uses the V8 JS engine from Google – the same one as in Chrome – and exposes a series of APIs needed to build networking applications. Libraries include basic things like filesystem and network access, but also HTTP, crypto, SSL, streams – all of the building blocks for apps that either serve or consume network services.

Most important of all, though, is the ability to build apps using external modules – not built in to the core – provided by third parties. There is a very active ecosystem of developers of these node “modules” which gives you access to a massive catalogue of libraries and frameworks. By having this structure, node can concentrate on maintaining a focussed, high performance, stable and common core, and the module ecosystem can provide huge diversity in libraries and frameworks. Unlike other environments – say Ruby with Rails – there isn’t a single framework architecture that becomes an encumbrance or constrains how things are built. There is diversity in the ecosystem and it isn’t held back by centralised coordination or the need for a single view on how things are done.

Node was one of the first projects whose community engagement was fuelled by Github and that mindset – free, decentralised, and open – has been the core ethos of the developer community for node’s core, the module ecosystem and end-user developers. Although node is now owned by Joyent which has its own commercial mission, node remains open and sees contributions from many individuals and organisations.

node is primarily used for building the “front end” for web sites (i.e. the part that directly handles incoming requests and sends responses). Some organisations use it just for the front end but many sites are built top-to-bottom with node.

Node has a number of key advantages.

1)      The principal advantage is scalability. node is based on JS; it is event-driven and single-threaded. While this might at first sight seem to be a disadvantage – running an inherently parallel service on a single-threaded runtime – it turns out to be its key advantage. The reason is that the cost of handling each new request, and in particular the cost of each outstanding request, is very small compared with systems that spawn threads or processes to handle each request. Each request is handled – processing the request, resolving the request path and parameters, triggering database or other IO – but then instead of waiting the system then returns to the idle state ready to handle a new request. The resources occupied by the pending request are simply a few objects and buffers, so many thousands of requests can then be pending on a single server. Secondly, state is easier to share between requests, which minimises the state that needs to be persisted somewhere. A single server can therefore handle tens of thousands of connections and concurrent requests.

2)      The next key feature is its accessibility. node is small at its core – which means a small learning curve to get started – but has a rich ecosystem of modules that enable you to add functionality quickly. The openness of the platform and modules, the support available from the community, and the sheer diversity of things being created, mean that you’re rarely on your own when trying something new. If you look through the various testimonials on the nodejs.org site you see multiple organisations using node to power their mobile apps or mobile sites. There are several reasons why it is well-suited to this.

3)      Suitability for mobile apps – First, these mobile backends – whether serving html or APIs – require huge scale. Any mobile app with even modest adoption can generate hundreds or thousands of requests a second. node allows these services to scale to this level much more readily and cheaply than with competing platforms. Many organisations, even though they have an existing backend for their mainstream website, will take a “clean sheet” approach to building their mobile platform and node is then a natural choice.

4)      Further, mobile apps are increasingly dependent on realtime connections where data can be pushed from the server to the device (egg with long polling or websocket connections), rather than being solely conventional sites or http APIs. node provides ready support for realtime connections (either directly or with helpers such as socket.io) and realtime push-dependent systems can be built far more easily than would be possible with Rails or PHP, say. LinkedIn, for example, have built their entire mobile backend in node and you can see other examples on the node.js site

5)      You can also run node on the mobile itself. node is inherently portable – V8 supports multiple CPU architectures and Chrome itself obviously runs on ARM and MIPS and other CPUs as well as x86. node’s footprint on the OS API surface is small – networking, filesystem and events essentially – so it makes it readily portable to multiple environments. There is a port of node to Android and a framework that allows you to build Android apps with node, and there is also an experimental port to iOS.

As devices grow ever more connected, they will increasingly be simultaneously both clients and servers for network services. That doesn’t necessarily mean they will be serving web apps, but your phone has a wide range of data sources that are interesting to exploit – location, camera, proximity via Bluetooth, say, as well as the personal information in contacts, etc. node is a framework that allows you to create servers very quickly for all sorts of functionality.

 You would think performance is an issue, but it’s not; modern devices are so powerful that they have plenty of processing power for the kinds of services you would think of. Anywhere you can run a browser you can also run node.

Having services that are always on is an issue for battery life. There needs to be a way of ensuring that an idle service is really idle and doesn’t drain the battery.

Intermittent network connectivity is obviously an issue – services won’t always be reachable.

Webinos and node.js

Webinos has gone further than most other projects in exploring node.js in different platforms. Specifically, it is addressing two separate issues:

a)      How to expose device functionality as network-accessible services, and

b)      How to create a portable application environment based on JS.

These have implications for IOT
The main technical contribution of Webinos has been that of privacy and access control for services exposed by a device such as a phone or car or TV. Webinos has the idea that a “personal cloud” can be augmented by devices and the services they can each expose; and has created a framework for access to those services, both peer-to-peer and via the cloud.

This is similar to a distributed “plug and play” for personal services; it’s not just about enabling discovery and access, but enabling the owner of the device to give access selectively and to set policies for access. Webinos addresses the range of trust scenarios on which that access might be based – social network relationships, physical proximity, etc.
Webinos is itself built with node and you can download the specifications from the webinos site and from github for webinos

 

Webinos technology

An overview of webinos technology

Within this context now, it’s easier to understand the significance of webinos for IOT

  •     Today companies provide services, but require centralization of personal data over which you have little control, making it hard to switch companies
  • Personal Zones provide an architecture for reclaiming control
  • You decide what/when to share with 3rd parties
  • This facilitates intent based smart search
  • Your data is managed within your zone, by the services you install
  • This works well for IoT devices

 webinos Personal Zone Hub (PZH)

The Personal Zone is a conceptual construct, that is implemented on a distributed basis from a single Personal Zone Hub (PZH) and multiple Personal Zone Proxy (PZP)s

The critical functions that a Personal Zone hub provides are:

  • An fixed entity to which all requests and messages can be sent to and routed on – a personal postbox as it were
  • A fixed entity on the web through which requests and messages can be issued, for security and optimisation reasons.
  • An authoritative master copy of a number or critical data elements that are to synced between Personal Zone Proxy (PZP)s and Personal Zone Hub (PZH), specifically
    • Certificates for Personal Zone Hub (PZH), Personal Zone Hub (PZH) mutual authentication
    • All policy rules, for distributed policy enforcement
    • All relevant context data
  • The functions therefore that a Personal Zone Hub (PZH) can support are
    • User authentication service
    • Personal Zone Proxy (PZP) secure session creation for transport of messages and synchronisation
  • A webinos service host: a Personal Zone Hub (PZH) can host directly Services/APIs that other applications can make use of.
  • Context sync: the Personal Zone Hub (PZH) should act as the master repository for all context data
  • A webinos executable host: a Personal Zone Hub (PZH) will be able to run a server resident webinos applications (these will be JavaScript program files wrapped in a webinos application package)

webinos Personal Zone Proxy (PZP)

  • The webinos Personal zone satellite proxy, acts in place of the Personal Zone hub, when there is no internet access to the central server.
  • In order to act in its place, certain information needs to be synchronised between the satellites and the central hub.
  • This information has already been listed above.
  • The Personal Zone Proxy (PZP) fulfils most, if not all of the above functions described above, when there is not Personal Zone Hub (PZH) access
  • In addition to the Personal Zone Hub (PZH) proxy function, the Personal Zone Proxy (PZP) is responsible for all discovery using local hardware based bearers (bluetooth, zigbee , NFC etc)
  • Unlike the PZH, the PZH does not issue certificates and identities.
  • For optimisation reasons PZPs are capable of talking directly PZP-PZP, without routing messages through the PZH

webinos Application

  • A webinos application runs “on device” (where that device could also be internet addressable i.e. a server).
  • A webinos application is packaged, as per packaging specifications, and executes within the WRT.
  • A webinos application has its access to security sensitive capabilities, mediated by the active policy.
  • A webinos application can expose some or all of its capability as a webinos service

webinos Service

A webinos service is a collection of functions and events, that are accessible by an webinos application

These functions and events are always presented to the application developer as a sets of JavaScript functions, no matter where the implementation resides.

An webinos service must take note of the following parts of the webinos specifications

  • Discovery: a service must be discoverable and be able to describe itself to the application in accordance with the discovery specification
  • Messaging : a service must be able to receive and respond to incoming RPC messages

Local Connections

One of the critical innovations of webinos, is the virtual overlay network that allows different applications and services to talk to each other over many different interconnect technologies. Not only are the interconnect technologies for local messaging, there are three different scenarios in which this communication can take place. These are highlighted in the diagram below.

Connecting to a full smart device, that hosts both a PZP (therefore can host native APIs presented as services) and a WRT (so can host webinos applications exposing webinos services)

  1. Connecting to a dumb device, it hosts a PZP but not a WRT. This means that it can expose only native APIs, not webinos applications
  2. Connecting to a super-dumb device, it hosts neither a PZP nor a WRT, but can expose webinos services – if the client PZP hosts a customised driver

Two other aspects complete the webinos vision – the microPZP and the Dashboard

 

 

 

 

 

 

 

 

 

 

MicroPZP is an implementation of the PZP when the device is too low spec to deploy a full PZP. A device supporting a MicroPZP has a target to 2mb device range

Dashboard

 

 

 

 

 

 

(acknowledgements to Giuseppe la Torre for this section)

 

The dashboard brings it all together for the user. In the near future, our houses will be “populated” of several “smart objects” which can be remotely controlled by users. Some efforts will be necessary to create a common platform for the “physical object virtualization”. Webinos provides support for the IoT domain, defining and implementing APIs for generic sensors and actuators.

Webinos provides drivers for Arduino boards, OBD electronic control units, ANT health sensors.

One of the most important feature we will expect from the iot ecosystem is the physical mashup.

The webinos home controller is a web application which, relying on the webinos platform,

allows users to

i) Create customizable UI to display information from user’s sensors. Using the drag&drop paradigm the user can create its own user interface with charts, gauges, text label, and so on. And display information about all the sensors which belong to his personal zone. This UI can be saved and then displayed in each kind of user’s device (TV, in-car, tablet). This part of the app could be easily extended, recently improved with the possibility to display user’s position (a webinos service) on a Google map.

 

ii) Add “logic” among the the smart objects by means the definition of rules – This is a good example of physical mashup: sensors and actuators (but theoretically each type of webinos services) can be used together to create logic rules of type: if CONDITION then TRIGGER.

 

Using the drag&drop paradigm, user can move on the UI

-) Input elements (sensors, user input textfields)

-) Condition elements (<,>,AND,OR)

-) Output elements (actuators)

 

An important webinos feature which has been integrated into the home controller application is theExplorer.

 

The explorer is a common interface for webinos applications which allows them to get access to the services exposed by user’s devices inside the personal zone.

In the case of home controller app, the explorer allows users to pick services (sensors or actuators) among those inside his personal zone or those belonging to a friend’s personal zone.

Conclusions

The webinos project takes node.js to different platforms – including IOT. But it does a lot more. We will be discussing these platforms (webinos, OSIOT, hypercat, web of things etc) at the accelerating the open source IOT ecosystem event

A big picture of webinos is as below

Contributions

Many thanks to Webinos project  esp. Dr Nick Allott, Dr Paddy Byers, Dave Raggett(W3C) and Giuseppe la Torre

 

 

 

 

 

My course on Big Data algorithms for Smart cities at City science – UPM (Madrid)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Background

I have blogged before about the need for algorithm transparency for Big Data algorithms for Smart cities . The same sentiment is expressed in Rage Against the Algorithms – How can we know the biases of a piece of software? By reverse engineering it, of course

After a year or so, I have made some progress on the idea of Big Data algorithms for Smart cities and I will try and elaborate here in this longish blog post which you can download also as a pdf. In addition to my Oxford university course on Big Data for Telecoms, from Jan 2014  onwards I am pleased to be also teaching a course about Big Data Algorithms for Smart Cities. This also includes IOT, Mobile and M2M data.

At the newly launched City Sciences program at UPM – Technical University of Madrid – Universidad Politécnica de Madrid, I will be teaching about applying Big Data algorithms (specifically Mahout, Real time algorithms like Twitter storm, Predictive algorithms and Machine learning algorithms) to Telecoms, IOT and Smart cities

I am excited about this and always wanted to do this!

Also, I don’t see many other places where this is being done .. so it’s truly pioneering.  Spain is a hotbed of Smart city and mobile activity especially with initiatives like Smart Santander and the GSMA Connected Living initiatives

One of the reasons for this blog post is to reach out to companies and other researchers who are working in this space (ex IBM Smarter planet, SAP, GE(Industrial Internet)  are all doing some interesting work in this space – as are research institutes like fraunhofer FOKUS ).  I am already doing some interesting work in this space especially at Liverpool Smart cities projects – Connected Liverpool  - so we are already looking at real world applications

Another way to look at it is to think of the role of a Data Scientist for a city -  The Harvard business review says that the role of the Data scientist will be one of the hottest roles going forward

Here are some idea s about my thinking

Note that this is not the actual syllabus – it shows more my thought process

Approach

My approach involves applying insights from one domain(Big Data algorithms) to data from Smart cities, Mobile and IOT.

So, we start with the maths – for example

Differential calculus,

Discrete maths,

Probablity theory,

Linear algebra

 and then techniques such as

Decision trees,

nearest neighbour,

unsupervised learning,

Probabilistic modelling pdf,

 Bayesian learning

Predictive analysis techniques (Predicting the future,  What is predictive analytics – Part 1, Predicting the future,  What is predictive analytics – Part 2),

Machine learning algorithms
Real time algorithms like Twitter storm

Apache Mahout etc

we then apply these to optimization problems based on data streams from Smart city verticals(like transportation), IOT, Mobile data and Open Data streams all within the context of the R programming language – albeit there is some great work on Python as well ex scikit learn

 Why now?

Both IOT and Open Data are maturing .. many new initiatives will make IOT data increasingly common. Apart from mobile phones,  apps and sensors – we also have initiatives like alljoyn, IFTTT and webinos  for IOT and Operators like Telefonica using Open Data in innovative ways in partnership with the Open Data institute

So, soon we will be presented with an abundance of Data. How to optimise it to get real insights will be the next challenge. Hence the algorithms.

This also brings us to Data. I was trying to find a taxonomy of mobile data. The closest I came to was this paper. Although from 2007, the principles still apply Towards a Taxonomy of mobile applications(pdf)

Mobile data streams

Candidate dimensions for a mobile taxonomy

Temporal dimension. (Synchronous: user and application interact in real time, Asynchronous: user and application interact in non-real time)

Communication dimension. ( Informational,  Reporting, Interactional)

Transaction dimension: (Transactional, non-transactional)

Public dimension: (Public, Private)

Multiplicity (or participation) dimension:  (Individual, Group)

Location dimension: Some mobile applications provided customized information or functionality based on the users

location, whereas other applications do not depend on where the user is located.

The identity dimension relates to whether the identity of the user is used to modify the application based on the user’s identity.

Categorization of Sample Mobile Applications

Purchasing location-based contents (local information, routing, etc.):

Mobile inventory management for a company:

Product location and tracking for individuals (e.g., searching for a certain plasma TV in a given city):

Mobile auctions:

Mobile games:

Mobile financial services (mobile banking):

Mobile advertisement (both user-specific and location-specific):

Mobile entertainment services (stored contents-on-demand, live events):

Mobile personal services (mobile dating):

Mobile distance education (synchronous and asynchronous versions):

Mobile product recommendation systems:

Wireless patient monitoring:

Mobile telemedicine:

So, potentially, all these applications (and many more from apps) could provide mobile data. We also need a taxonomy of city data

A taxonomy of City Data

Domains like Transportation will be early providers of City data – but in the blog
Big data for Smart cities – How do we go from Open Data to Big Data for Smart cities – I listed many more

Environmental data (particulate matter, CO2, pollen)
Markets (weekly, flea, Christmas markets)
events (festivals, concerts, long night of …, sports events)
Disposal (appointment in my street, recycling centers, container sites, hazardous waste)
infrastructure (cycle paths, toilets, mailboxes, ATMs, telephones)
Traffic (construction sites, traffic jams, road closures)
transport (delays, cancellations, special trips)
opening times (libraries, museums, exhibitions)
Management (Forms, responsibilities, authorities, opening times)
consumer advice, debt counselling
Family (parental allowance, day nurseries, kindergartens)
Education (schools, community colleges, colleges and universities)
Housing (housing benefit, rent prices, real estate, land prices)
health (hospitals, pharmacies, emergency services, specialist counselling services, Blood donation)
Pets (veterinarians, animal shelter, animal care)
Control (bathing, food, restaurants, prices)
Legal (laws, regulations, guidance, arbitrator, evaluator)
Police Online (current events, investigation, crime Atlas)
City Planning (zoning, construction, transport, airports)
Population (number, regional distribution, demographics, purchasing power,
Employment / unemployment, children)

 And ofcourse wearable mobile data technology could create its own data streams

 What makes a city Smart?

How do we bring this all together?

The ex Chinese Premier Wen Jiabo once said “Internet + Internet of things = Wisdom of the earth”

Indeed the Internet of Things revolution promises to transform many domains ..

As the term Internet of Things implies (IOT) – IOT is about Smart objects

For an object (say a chair) to be ‘smart’ it must have three things

-       An Identity (to be uniquely identifiable – via iPv6)

-       A communication mechanism(i.e. a radio) and

-       A set of sensors / actuators

For example – the chair may have a pressure sensor indicating that it is occupied

Now, if it is able to know who is sitting – it could co-relate more data by connecting to the person’s profile

If it is in a cafe, whole new data sets can be co-related (about the venue, about who else is there etc)

Thus, IOT is all about Data ..

By 2020, we are expected to have 50 billion connected devices

To put in context:

The first commercial citywide cellular network was launched in Japan by NTT in 1979

The milestone of 1 billion mobile phone connections was reached in      2002

The 2 billion mobile phone connections milestone was reached in 2005

The 3 billion mobile phone connections milestone was reached in 2007

The 4 billion mobile phone connections milestone was reached in February 2009.

So, 50 billion by 2020 is a large number

 Smart cities can be seen as an application domain of IOT

In 2008, for the first time in history, more than half of the world’s population will be living in towns and cities. By 2030 this number will swell to almost 5 billion, with urban growth concentrated in Africa and Asia with many mega-cities(10 million + inhabitants). By 2050, 70% of humanity will live in cities.

That’s a profound change and will lead to a different management approach than what is possible today

   Also, economic wealth of a nation could be seen as – Energy + Entrepreneurship + Connectivity                                                                             (sensor level + network level + application level)

Hence, if IOT is seen as a part of a network, then it is a core component of GDP.

 So, what makes a city ‘smart’?

Building upon the previous discussion, my view is a Smart city is a city that behaves like the Internet i.e. is a platform/enabler for its citizens. Thus, the citizens make the city ‘smart’ by adding knowledge, value, data etc. This is a part of a wider socio economic trend to go from ‘mass production’ to ‘smaller individualized services’ – ex in music, in urban farming, in the Bristol pound, in local sourcing of food etc.

Holy grail – improved services

In conclusion, the payoff for a city is improved services. This is already happening for instance in a far of place like  Abidjan (AllAboard: a system for exploring mobility and optimizing transport in developing countries using cellphone data) and in healthcare  and we are seeing many new forms of radios like Cell dot from Ericsson and Internet connected super highways using white space

We could thus see a new value chain of sensor – Data – Algorithms – visualization

If you are a Vendor – company –researcher working in this space – happy to discuss solutions, joint papers etc. Pls contact me at ajit.jaokar at futuretext.com

Image – shutterstock

feynlabs USA at the Lab Miami – launching Oct 30

 

 

 

 

Hello + Hola!

My edtech start-up feynlabs is launching in the USA at Lab Miami 

Thanks to Alex de Carvalho and  introductions to Wifredo Fernandez Estrellita Sofia Sibila - I have been very much impressed by the tech / social media community and also the education community in Miami.

As a UK start-up this is a big step for us and I am very much looking forward to it.

feynlabs is doing some pioneering work in teaching programming and Computer Science and we are looking to use the Lab Miami community as a base to launch in the USA next year (when we deploy our product – currently in trials).

I am in Miami Oct 26 to November 2 and would be great to meet you at these events (or outside also)

Have a look at the Raspberry Pi workshops in Lab Miami

I am also happy to discuss mobile related matters.

The events are designed to teach programming.

In the UK and Holland we have been working with our techniques to rapidly teach programming especially for non programmers and I look fwd to meeting you!

My email address is ajit.jaokar at futuretext.com and you can register for the events Raspberry Pi workshops in Lab Miami

 

Informa / Ovum press release points to significance of Big Data / Data scientists for Operators ..

 

 

 

 

 

 

 

 

I got the press release below from Ovum and it points to a key trend ..

a) As growth slows, market realities mean telcos must find ways to serve their existing customers profitability rather than simply growing their customer bases.

b) … software and to provide skills such as those of data scientists for Big Data analytics projects

This I very much agree and is a key focus of futuretext

Press release below

Ovum predicts telco IT spending to reach US$60bn in 2017, driven by investments in packaged software and system integration

For immediate release

London, 25 September 2013 –The global telecoms industry’s revenues will remain roughly flat over the next few years, with a decline in spending on voice services counterbalanced by growth in spending on mobile and fixed (broadband) data services, according to global analyst firm Ovum.

In a recent market forecast analysis report*, it was found that as growth slows, market realities mean telcos must find ways to serve their existing customers profitability rather than simply growing their customer bases.

Shagun Bali, analyst for Telecoms Technology at Ovum and author of the report said, “Over the next five years, service and tariff innovation will be key revenue-generating strategies, while LTE rollout, network optimization, and creative approaches to partnerships will become focal points for cost savings. Telcos need to monetize new business models, leverage customer data by investing in analytics, and define their response to over-the-top (OTT) players.”

Ovum estimates that telco IT spending will reach US$60bn in 2017, growing at a CAGR of 0.6 percent between 2013 and 2017. Growth in telco IT spending will be driven primarily by investments in packaged software and system integration. Spending in emerging markets in Asia-Pacific, the Middle East and Africa (MEA), and South and Central America (SCA) will drive global IT spending. In North America, telco IT spending will grow modestly at a CAGR of 0.8 percent to reach US$17.5bn by 2017.

Bali states that, “Although overall telco IT spending will grow modestly, the trend is for telcos to reduce internal IT spending and increase spending on external IT projects. To control costs, telcos are outsourcing the maintenance of legacy IT and turning to trusted partners, both to implement unified and standards-based systems and software and to provide skills such as those of data scientists for Big Data analytics projects. Consequently, the overall addressable market for vendors will increase.”

“The combination of middling profits, high capital requirements, high risk, and uncertain economic growth requires telcos to place their bets carefully, including investing in growing revenue streams and managing customer experience more than ever before. The result is increased opportunities for the IT industry. In the long term, telcos will place more focus than they have before on software to drive innovation,” concludes Bali.

—ENDS—

NOTES TO EDITORS

*Global Telecoms Technology Spending Forecast Through 2017: Analysis

To arrange an interview or for further details regarding this research, please contact: Claire Booty on +44 (0) 20 7017 7916, or email [email protected]

ABOUT OVUM

Ovum provides clients with independent and objective analysis that enables them to make better business and technology decisions. Our research draws upon over 400,000 interviews a year with business and technology, telecoms and sourcing decision-makers, giving Ovum and our clients unparalleled insight not only into business requirements but also the technology that organisations must support. Ovum is anInforma business.

 

Mobilista rockstars event by Tomi Ahonen

 Our friend @Tomiahonen brings is a brand new event Mobilista Rockstars, which is a series of absolutely sensational mobile technology conferences with incredible speaker faculties.
Some more details on Mobilista Rockstars:
  • It’s 3 separate events, all being organised in one week in early October, which feature theLEADING GLOBAL EXPERTS, all of whom will be discussing the future of mobile technology.
  • The events will be held in Hong Kong (7 & 8 October), London (9 & 10 October) and New York (10 & 11 October).
  • The best information resource is the website: http://mobilistarockstars.com.
  • Your 10% discount code is 1MRTA; please use this when you register online.
  • Also, the first 100 tickets for each location are being sold at a considerable discount.

2013 M2M & Internet of Things Global Summit

 

 

 

The 2013 M2M & Internet of Things Global Summit has some interesting sessions which I am following

From the Sessions at M2M & Internet of Things Global Summit - here are some interesting themes for IOT/M2M

  • What is the current state of play of M2M innovation and what does today’s Internet of Things ecosystem look like?
  • What different IoT and M2M applications and platforms are available to help combat the emerging global challenges affecting the environment, society and technology?
  • Building the Internet of Things – Challenges and opportunities
  • Managing personal data appropriately is key in ensuring consumer confidence and trust is guaranteed from the outset.
  • What needs to be done to ensure the protection of users now and in the future?
  • What assurance techniques and counter measures are in place and what others could be implemented?
  • How can we educate consumers, industry and governments?
  • What are the greatest concerns and emerging security risks associated with M2M communications and the Internet of Things?
  • What impact can the 4G evolution have on industry and consumers?
  • What role are other ‘Connected Devices’ playing in reinventing the mobile experience?
  • Reinventing the mobile experience in vehicles
  • Governance and Standardization
  • What will be the future interplay between Cloud Computing and the Internet of Things?
  • What current technologies are available to residents?
  • What is the current state of Connected Home technology deployment in the United States?
  • What role can the smartphone play as an interface for the Connected Home experience? Is there a need for a platform approach?
  • What are the key privacy concerns?

 

 

Big Data, IOT and M2M- What’s trending on Twitter?

 

 

 

 

 

 

Editor’s note:

 This is Irina’s first post as Deputy Editor on OpenGardens. We will make this a regular feature. Irina has been looking at Twitter data to identify trends which have gained traction for Big Data, IOT and M2M. We list below the links that have been retweeted many times on Twitter. Comments welcome

A. Big Data – General, Business-Related and Legal Issues 

  1. “Big Data” Is Not “Big Data” Unless It Gives You Actionable Insight
  2. “Internet of things” will mean really, really big data
  3. Cloud Computing, Big Data & Smart Mobile Apps to Drive IT Spending in 2014
  4. Big data = big exposure. What can you do about it?
  5. A Technical Look at Big Data
  6. An extensive glossary of big data terminology
  7. Big Data and Vulnerability of Cellular Systems
  8. Big Data needs big problems
  9. The Datification Of Our Daily Lives [Video]
  10. The datacenter’s “elephant in the room”—the big piece that’s still missing from DC integration
  11. Thought Leaders in Big Data: Interview with Rajat Paharia, Co-Founder and Chief Product Officer of Gamification Leader Bunchball (Part 1)
  12. The Big Joke About Big Data
  13. Big-data treasure depends on where you dig for it: Brobst – ZDNet (blog)
  14. Loyalty 3.0: Turning Big Data into customer loyalty
  15. Machine Learning Saves the Internet From Itself – Chris Taylor | Big Data Republic
  16. McKinsey Report Sells Big Data Short As Game Changer
  17. Is Hadoop really the answer to our big data problems?
  18. Big data important for Brick and Mortar stores. Video: Big Data Hits Real Life
  19. [webcast] Why Is Big Data Such Big Business? Big Data Power Panel at CloudExpo NY
  20. Why Big Data Will Never Beat Human Intuition
  21. What does Big Data mean for our cities?
  22. Why every finance professional needs a degree in big data
  23. The 21st Century Gold Rush: Mining Big Data | SiliconANGLE
  24. The Rise of Big Data | Foreign Affairs
  25. The Viability of Big Data [INFOGRAPHIC]
  26. What Michael Jordan Can Teach Us About Big Data, Strategy And Innovation
  27. Big Data for Smart Buildings
  28. Big Data Not Big Enough? How the Digital Divide Leaves People Out
  29. “Big Data” Is Not “Big Data” Unless It Gives You Actionable Insight
  30. BIG DATA 2. “Algorithms have improved by up to 100 times over the last 2 decades”
  31. An Extensive Glossary of Big Data Terminology
  32. Are You Tangled In A Big Data Hairball?
  33. Big data analytics revitalizes Colorado museum
  34. Apps That Know What You Want, Before You Do
  35. Big Data and Credit Unions: Machine Learning in Member Transactions
  36. Big Data and Its Less-Than-Gentle Lessons
  37. Big Data and Nonprofits
  38. Big Data for People and Revolutionaries, Not Just Businesses (Video)
  39. Big Data ‘Has No Clothes’ — Millennials Love It
  40. Big data in little hands: It happens with mobile
  41. Big Data in Real Time (Video)
  42. Big data obsession is treasure trove for comms
  43. Big Data Promises Overstated? Yes and No. Stopping by the Data Ops Neighborhood in Search of the Truth
  44. Building the Business Case for Information Governance – Contrasting Risk, Value
  45. Dyson: Big Data-Driven Thought Control Is Here
  46. Big Data Gets the Algorithms Right but the People Wrong
  47. How Big Data Can Help the Developing World Beat Poverty [VIDEO]
  48. How big data can result in bad data
  49. How Big Data Is Changing Enterprise Applications
  50. IBM Smarter PlanetVoice: What’s Driving Financial Services? Think Big Data
  51. Opportunities and Insights from Distributed Big Data
  52. Polish University Taps IBM Big Data Tools to Bring Middle Age Manuscripts to the Public
  53. Quantum Machine Learning for Big-Data
  54. APS Big Data Strategy has been approved by Secretaries ICT Governance Board
  55. I believe in Big Data.’ – Kim Jong Il
  56. The Big Brother Backlash: Who do You Trust with Your Big Data?
  57. The Fifth Wave: How Are Cloud Computing &amp; Big Data Transforming IT?
  58. The Internet Knows More About You Than You Think (INFOGRAPHIC)
  59. The ‘Internet of things’ will mean really, really big data
  60. The Intersection Of Big Data And Cloud
  61. Three Enormous Problems Big Data Tech Solves
  62. The Future of Big Data Requires a Human Algorithm
  63. “Big Data at Human Scale,” Wharton Web Conference 2013
  64. Why most mobile apps can’t be trusted
  65. Zombie PCs are for crimelord chumps: Fear clusters, says infosec ace
  66. Smartphone batteries measure the weather.  An unexpected big data outcome
  67. What Sort of Questions Should You Ask of Big Data?
  68. Put a fork in ‘big data’  it’s done
  69. CenturyLinkVoice: 3 Ways To Develop A Big Data Strategy
  70. Big Data is changing the way we do business: 10 trends
  71. The Big Data Wilderness: Finding Your Way Starts With Asking The Right Questions
  72. PODCAST: TALKING BIG DATA WITH PROFESSOR BILL MCGEVERAN
  73. “A Fool with a Tool is Still a Fool” – 5 Guidelines to Make Big Data Work
  74. What is your definition of Big Data?
  75. What Sort of Questions Should You Ask of Big Data?
  76. Big Data and Customer Experience Begin to Converge
  77. What are the benefits of customer complaints?
  78. Big data is giving China an edge in renewable energy production
  79. Gartner’s 2013 Hype Cycle for Emerging Technologies Maps Out Evolving Relationship Between Humans and Machines
  80. 12 Predictive Analytics Screw-Ups
  81. The vanishing cost of guessing

 

B. Big Data – By Industry 

- Marketing, Advertising & Analytics

  1. Big Data, Analytics And The Future Of Marketing And Sales
  2. Big data, metadata, and traffic analysis: What the NSA is really doing
  3. Advertising in the Business of Big Data
  4.  New World’s-Largest marketing agency confirms advertising is no longer about memorable TV commercials, it’s Big Data
  5. How Is Big Data Reshaping Advertising?
  6. Big Data Analytics Will Permeate the Internet of Things | Blog post by James Kobielus
  7. Big Data and Advanced Analytics – 16 Use Cases
  8. How Big Data Analytics Enables Predictive Sourcing
  9. Preparing tomorrows city leaders for big data analytics
  10. Retailers, CPGs Using Big Data Analytics to Outperform Others
  11. Blueocean Market Intelligence Produces On-Demand Webinar on Big Data Challenges, Gaining Insights from Unstructured Data
  12. Claims Fraud: A Big Opportunity for Big Data & Analytics
  13. Graph analysis will make big data even bigger
  14. Marketers Need Consumer Data, But There’s a Big Problem
  15. Tealium, Splunk Partner to Solve Marketing’s Big Data Problem
  16. Big Data Analytics:  Good Questions Result in Better Answers
  17. 10 Ways to Use Big Data to Get to Know Your Customers Better
  18. Big Data Analytics Doesn’t Have to Be the Wild West
  19. Big Data analytics
  20. Big Data Analytics Will Permeate the Internet of Things
  21. Big Data Analytics: Getting Business Value from Big Data via Advanced Analytics
  22. Big Data and Advanced Analytics – 16 Use Cases
  23. Big data and multi-channels complicating marketers’ ability to measure ROI, according to report
  24. Big Data Will Change Advertising Forever
  25. Claims Fraud: A Big Opportunity for Big Data & Analytics
  26. How Big Data Can Improve Marketing and Customer Service
  27. McKinsey eBook (free): Big Data, Analytics, and the Future of Marketing and Sales
  28. Marketers and Big Data: Instructions for Use
  29. Free White Paper: Marketing With Big Data to Increase ROI
  30. Can Big Data make sponsorship easier?

- Education

  1. How Big Data Is Taking Teachers Out of the Lecturing Business
  2. Big Data in Education
  3. Some Higher Ed CIOs Remain Big Data Skeptics
  4. Big data could end professor lectures
  5. How Big Data Is Taking Teachers Out of the Lecturing Business
  6. Big Data in Education
  7. This Guy Left Google To Put The Power Of Big Data Into Small Classrooms

- Government 

  1. BSA Presidential Event: The Challenge of Big Data | 25 Oct ’13, British Library
  2. Deciphering big data for wider public access
  3. Future of e-government: prevention is better than the cure
  4. 5 Ways to Create a Data-Driven Culture in Government
  5. Twitter under pressure to give governments more user data
  6. Big Data Can Help the Federal Government Move Mountains. Here’s How.

- Security

  1. “Big Data” Dynamo: How Giant Tech Firms Help the Government to Spy on Americans
  2. DHS Ups Its Big Data Game, Asks Vendors What They’ve Got
  3. Watch out, terrorists: Big data is on the case
  4. Have the NSA Leaks Compromised Big Datas Future?
  5. Top 5 Truths about the Big Data Hype and Security Intelligence
  6. London’s ban for spy bins highlights lure of big data to business
  7. Irony Alert: Pentagon Now Sees Big Data as ‘National Security Threat’
  8. Feds label Big Data ‘security threat,’ expand data programs anyway
  9. DARPA calls Big Data boffins: Help us lock up everyone’s privates
  10. How Big Data Could Stop Criminals Before They Strike

- Healthcare 

  1. Notre Dame Researchers Develop System That Uses a Big Data Approach to Personalized Health Care
  2. System developed that uses a big data approach to personalized healthcare
  3. 6 Keys to the Future of Big Data in Healthcare Marketing
  4. Big Data Analytics In Healthcare: Choosing The Right Solution
  5. Big Data Can Deepen or Dilute Caregiver-Patient Engagement
  6. How big data is taking on breast cancer — and big biotech
  7. Big Data: How Max Levchin is using ‘big data’ to make a difference
  8. HOW DELL FIGHTS CANCER WITH BIG DATA
  9. How big data and genome sequencing leads people to change their habits and prevent disease
  10. How can big data, analytics make healthcare data meaningful?
  11. Michael J. Fox Foundation Points Big Data At Parkinson’s
  12. The Importance of Big Data in Healthcare

- Retail 

  1. How are retailers dealing with big data? Who are some innovators?
  2. “Big Data in Retail” now available at Fast Market Research

- Sports 

  1. Point, Set, Match. Wimbledon Runs with IBM Power Systems, Big Data, and SlamTracker

- Social Media 

  1. Leveraging Big Data &  Social Media to Create a Cross-Channel Experience
  2. What Does Big Data Mean for the Future of Social Media?
  3. What the Quantified Self and Big Data Mean for Social Media
  4. Tubular Labs Crunches Big Data to Create Audience Dashboard for YouTube
  5. Harris Teeter Using Big Data to Enhance Mobile, Social

- Skills, Jobs & Employment  

  1. Data Scientists are the New Rock Stars as Big Data Demands Big Talent
  2. A Big Market for Big Data Jobs
  3. With Big Data, Companies Can Predict Your Success Before Your First Day On The Job
  4. Are Degrees In Big Data A Fad Or A Fast Track To Career Success?
  5. Big Data and talent acquisition – what’s the link?
  6. Hot Jobs in IT: Competitive Intelligence
  7. Big Data tying knots in HIT workforce
  8. How Big Data Is Playing Recruiter for Specialized Workers
  9. With Big Data, Companies Can Predict Your Success Before Your First Day On The Job

 

C. Big Data – By Company 

  1. Big Data computing startup GridGain raises $10M
  2. Farewell Don Draper, hello Big Data: decoding the Omnicom-Publicis merger
  3. Adobe CEO Shantanu Narayen shares key takeaways from his FortuneTech panel on “Who Owns Big Data”
  4. At Netflix, big data can affect even the littlest things
  5. Zettics nabs USD8.2m for big data analytics
  6. TravelSky, Sugon Team For Big Data Aimed At China’s Travel Sector
  7. Big-Data Doings at Big Companies
  8. Cloudant Enhances Big Data Management With Features Like Scalability And Replication
  9. ESDS selects IBM PureSystems for Cloud and Big Data
  10. FreeBSD founder quits Apple to focus on Big Data
  11. NIH commits $24 million annually for Big Data Centers of Excellence
  12. Omnicom, Publicis Merger Reveals Big Data’s Influence on Ad Business
  13. Transactional Big Data Startup ERN Bolsters Its Analytics By Acquiring Elucidata, Inspired Analytics
  14. 10 Top Big Data Startups to Watch–Final Rankings
  15. ABS prepares big data transformation
  16. ESDS Selects IBM PureSystems Over HP and DELL for Cloud and Big Data Offerings
  17. IBM unveils PowerLinux System server for big data and analytics
  18. Kofax Adds Integration, Big Data Analytics in Kapow Acquisition
  19. Kontera Extends its Big Data Content Marketing Platform with New Content Discovery Product for Social and Content Teams
  20. Mathematica gets Big Data with HadoopLink
  21. NIH commits $24 million annually for Big Data Centers of Excellence
  22. OpenDNS uses big data to identify attacks before they occur
  23. Sonic Drive-in CIO on learning to embrace big data and cloud computing
  24. IBM and Universities Team Up to Close a “Big Data” Skills Gap
  25. Communitech Launches Data.Base, the World’s First Structured Big Data Ecosystem
  26. Why Google thinks it can solve a big balloon problem with big data

 

D. Top Trends & Summaries 

  1. The Four V’s of Big Data [INFOGRAPHIC]
  2. 10 Big Data Trends Changing the Face of Business
  3. 10 Ways to Use Big Data to Get to Know Your Customers Better
  4. 3Vs of Big Data are Volume, Velocity, and Variety.  Most important is 4th V: Veracity
  5. 6 Tips for Turning Big Data into Great Customer Experiences
  6. 6 Ways To Build Trust In Big Data
  7. 9 Big Data Lessons Learned
  8. 9 Open Source Big Data Technologies to Watch
  9. 5 Ways Big Data is Changing Marketing Forever
  10. 5 key questions to improve Big Data governance
  11. Five charts on the US economy’s big data makeover

 

E. IOT 

- General Issues

  1. The Internet of Things (and the myth of the “Smart” Fridge)
  2. “The Internet of Things is actually hundreds of smaller, fractured Internets.”
  3. This Startup’s Cheap Sensors Could Create an OS for Everyday Life
  4. Cheap Monitoring Highlights Dangers Of Internet Of Things
  5. Trillions of Smart Sensors Will Change Life
  6. Connected devices are taking over the world
  7. 8 ways the Internet of Things will change the way we work
  8. A Blueprint To The Internet Of Things: Bump’s David Lieb
  9. Arduino and Android, lets start the Home Automation
  10. Arduino and the XOBXOB IoT Platform
  11. Big Data, IoT, API …….Newer technologies protected by older security.
  12. Researchers invent wireless Morse code for the internet of things
  13. brand-e: Internet things to come
  14. Counting the Internet of things in real time
  15. Dr. Seuss and the Internet of Things
  16. Europe’s policy options for a dynamic and trustworthy development of the Internet of things
  17. Exploring XOBXOB – the new Arduino-compatible IoT platform
  18. Friend or Foe? When IoT Helps You Get Hacked by Your Security
  19. Guidelines Expected For IoT Vehicle Data Communications
  20. Hacking a smart lightbulb system
  21. How Many Internet Connections are in the World? Right. Now.
  22. Learn About A Future With “The Internet Of Things” From Jeff Hagins, CTO of SmartThings At Compute Midwest
  23. How The Internet Of Things Will Think
  24. How the internet of things changes everything
  25. How The Internet of Things is changing the game [Infographic]
  26. How To Intelligently Build An Internet Of Things (IoT)
  27. How to Model an IOT in Oracle SQL Developer Data Modeler
  28. A Better Way to Tackle All That Data
  29. Smartphone-enabled hotel rooms give customers control of their experience
  30. $14.4-tn bounty: Internet of everything & opportunities it represents
  31. Gartner Says Potential Size and Diversity of the Internet of Things Mask Immediate Opportunities
  32. Internets of Things Need Glue
  33. Internet Of Things: A Growing Battleground Between Mobile And Chip Companies
  34. Internet of Things: Semantic Tech Has A Role, If Businesses Can Figure Out What IoT Means To Them
  35. The Internet of Things and the future of manufacturing – Part I: Changing value chains
  36. Interoperability Issues Cloud IoT Vision
  37. Interoperability issues on the Internet of Things
  38. Machine To Machine Connections – The Internet Of Things – And Energy
  39. NVM memory: A Critical Design Consideration for IoT Applications
  40. Obama Promises and the Internet of Things: How Your Toaster Will Spy On You In the Future. 
  41. What Does IoT all mean?
  42. [Report] Car industry must remodel itself to exploit the ‘connected future’
  43. Battery-Free Wireless Devices Let You Send Texts After Your Phone Dies
  44. The future of ubiquitous sensors and new ways to write software for it
  45. What Is the Internet of Things?
  46. Bionic fashion: Wearable tech that will turn man into machine by 2015
  47. Yes, the hardware revolution is upon us
  48. How wearable technology could transform business
  49. Pinoccio – A Complete Ecosystem for Building the Internet of Things
  50. Up close and personal with Atmel’s SAM4L Xplained Pro
  51. The Maker Movement: Tangible Goods Emerge From Ones and Zeros
  52. Cisco and the Future of M2M
  53. Key players in IoT, but can QRcodes ever be a designers friend?
  54. Nerds: get ready for the Internet of Cooking
  55. RFID be gone: Why you might soon be 3D printing the Internet of Things
  56. The real human experience of the IoT
  57. Driving Compliance with Embedded Devices — the Internet of Things
  58. Strasburg, Colorado: Remote Controlled Fire Alarm and Disaster Warning System
  59. How crowdsourcing, IoT and data analysis is transforming earthquake detection.
  60. The Internet of Things Incubating in University Labs
  61. Kore partners with Gemalto to boost connectivity offering
  62. Connected home security scare: Why a renewed focus on security is imperative
  63. The Internet of Things – Navigating the Future of Information Technology
  64. The Internet of Things: Getting Smart About ‘Smart’ Objects
  65. Utilizing TV white space, unlicensed spectrum in an M2M world
  66. Demand for Smart Sensors Is On the Rise
  67. Here’s an ingenious and depressing connected device to conserve energy
  68. Atmel builds a world of touch for the IoT
  69. Thinking About How to Secure the Internet of Things (IoT)
  70. Remote acoustic sensor network used to pinpoint location of gunshots
  71. A New Era of Computing Requires a New Way to Program Computers
  72. ArduSat successfully launched in space – Watch video!
  73. Broadcom Smartens Up ‘Internet of Things’
  74. Counting the Internet of things in real time
  75. CSC Unveils New Machine-to-Machine Solution
  76. Eclipse Foundation Adds New Internet Of Things Projects To Help Push M2M Standards Forward
  77. Internet things to come
  78. More Connected Homes, More Problems – MIT Technology Review
  79. My open-source, do-it-yourself cellphone (built with Arduino).
  80. Over the Internet of Things Hovers the Specter of Legacy Code
  81. Podcast: How the internet of things will make your wallet fat
  82. IoT Brings Power Awareness Opportunities
  83. Wireless devices go battery-free with new ambient backscatter energy-harvesting communication technique
  84. Your house is your new follower on Twitter
  85. How ‘big data’ is changing lives
  86. The Human Face of Big Data

- Smart Cities

  1. After Mobile – The Smarter City
  2. London to create airport of the future with ‘Internet of Things’
  3. The city of 2050

 

F. M2M 

  1. Communicating in the age of the network: Benetton gets into M2M with Sandbox collaboration
  2. Confused about M2M Terminology? Here is a great place to start