10 ways to make Dubai a Smart(er) City

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There was a lot of excitement  in Dubai at GITEX last week after His Highness Shaikh Mohammad Bin Rashid Al Maktoum outlined his plans to make Dubai a SmartCity.  The Dubai ruler, Vice President and Prime minister of UAE has started a project that aims at improving citizen’s quality of life, develop the economy, but also aims at putting Dubai on the global map when it comes to innovation and technology leadership.

Although no details  about the scope of the project are known, it is clear that it is an attempt to bring together both public institutions as well as private sector companies in order to speed-up the move of Dubai and the UAE into the digital world. The higher committee that has been formed to run this initiative includes both public and private sector officials, with telecom operators Etisalat and du represented among others. It is not clear how much money will be poured into this initiative, but looking at the stakeholders involved we are talking serious business .  There are today three main themes defined under the umbrella project: Smart Life, Smart Economy and Smart tourism.

  • Smart Life focuses on education, health, transport, telecommunication and public utilities….
  • Smart Economy concerns the development of technology companies and jobs as well as port, airport and other business services.
  • Smart Tourism aims to offer visitors efficient visa, aviation, hotels, restaurants and other services.

For this initiative to succeed though it is important  to learn from what is being done elsewhere in the world but also consider learnings from projects like Masdar in Abu Dhabi. The green city project had to revise many of its initial high ambitions, to become the first carbon neutral city, mainly due to cost of implementation. Still I believe it is the right time and the right place to start such an ambitious project.  Having lived in UAE for 6 years now I start getting my own ideas on how such a project could shape up and wanted to share some humble ideas around the main themes.

Smart Life

  1. I believe that traffic management is still one of the areas that has most potential for development. There are so many traffic jams, accidents and frustration spent on the roads that this could be a quick win for the city. Being it support applications to find parking spaces, information about location of infrastructure, real-time traffic information. I think this is one of the smart services citizen would really like to see.  Many cities around the world have started to even open this data to the public in order to stimulate innovation, I really hope Dubai and UAE can do thee same. Less accidents, Less CO2 emissions and less stress on the road are main benefits.  Check my previous article on opendata to read more about this topic.
  2. In order to improve quality of life, I think another important investment area should be around sustainability and greener lifestyle. Here also I am a proponent of environment opendata to stimulate innovation. Dubai and UAE would certainly benefit from measuring and exposing data like air quality, pollution levels as well as water and energy consumption.  Air Conditioning systems are in bad shape in many places here and lack of monitoring some of these environmental parameters could lead to chronic diseases.  To develop a Smart life means being more respectful about the environment, but to create awareness and change behaviors you need more visibility first.
  3. Healthcare is another area for investment. Now, while the quality of doctors here can be high, the administrative part is a nightmare, paperwork left and right, queueing here and there.  Now, this is probably not a quick win, but the move the electronic medical records is probably a big step to take as well as an introduction of remote patient monitoring solutions to deal with chronic diseases.
  4. Education is a tricky area, but I believe SmartCities will be cities capable of harnessing the right mix of local education programs combined with specialized Remote teaching capabilities from world class universities.  With technology the world becomes a smaller place, and that means that we can get access to educational resources that were out of reach before.  Video-conferencing, collaborative means that you can have very similar interactions with the teachers as when you are in the classroom. Another aspect of this development is that education could become a lot cheaper than it is today and hence become more affordable.

Smart Economy

  1. The smart economy is certainly about securing the infrastructure is continuously built-out to facilitate communications, logistics and production. Here I think tele-presence solutions provide an opportunity to facilitate Business-to-Business , Business-to-Government and Government-to-Citizen interactions. Less time spend on the road, waiting or idling will have a positive impact on productivity.
  2. Another aspect of the smart economy it is also about creating leaner administration and moving more jobs to the private sector. More jobs in private sector means also improving support systems for startups.  As I wrote in one of my previous articles cost of living and infrastructure is still to high to want to start a technology business here in UAE.  Maybe government needs to revise visa policies, provide housing support and finance startups to attract technology entrepreneurs.

Smart Tourism

  1. Digital signage could be further developed to promote events and provide tourist information services in strategic places.
  2. Voucher systems like the Dubai Entertainer or other coupon systems, need to be revamped so that you can get coupons in digital format. Just take the example of tourist visiting Dubai, likelyhood of him/her buying the entertainer at 100USD if he stays a few days is very low. Going digital gives you more flexbility in the offering.
  3. Automatic translation services could be used to provide relevant information to tourists.
  4. Now while many search engines are available to check flight availability, it is much more difficult to know restaurant availability. I would really love an application that can search for available restaurants that serve certain types of food.  Again if this type of data is made open and maybe brokered through the operator the applications will be developed.

Do you like some of these ideas? What are you thoughts and what would you like to see?

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Why #Opendata matters in the Networked Society

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What is Opendata?

In a nutshell, “Open data is data that can be freely used, reused and redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike.”

What this means practically, is that data assets are being exposed  without charging the consumer of that data, with the exception of possible reproduction costs.  Since most of this data will be available over the internet and stored in the cloud, where the costs are marginal we can assume that open data is completely free of charge. Secondly the definition also states that this data shall be freely redistributable and can also be mixed with other data assets without limitations. This means that you can manipulate the data, aggregate it without any limitations imposed by the original data source provider. But the most interesting requirement on opendata is that it cannot include any restrictions on how the data should be used. For me this is the key, since it will not only open the data for educational purposes, but also  allow  the use of  opendata for commercial purposes. So Opendata will spur innovation and entrepreneurship.

Opendata promotes transparency

One of the opportunities seen by governments and local administration is to expose data for transparancy purposes. This helps citizens to understand where and how public spending is made, allows better scrutiny of this spending and can create more trust in authorities in the long run. Let me give you a few examples.

Open data PARIS – The city of Paris releases economic data about public contracts awarded, government spending and other data to promote transparency between the public administration and citizen.  Information and location of public services like educational institutions and buildings is made available machine readable files that can be downloaed.  Accessibility information about government infrastructure is also provided.

The city of Vienna in Austria is even taking this one step further since the country was to implement a vision of an open government where  “In opening its data records to the public, the City of Vienna is taking yet another important step towards implementing its Open Government Strategy” furthermore the city has deicded “to create administrative structures based on more transparency and participation, enabling closer cooperation with the local population, local businesses and the scientific community.” This is quiet a bold ambition but I think is the future of governments in the networked society.

Another interesting initiative I came across comes from Northern Italy. The region Veneto has started an opendata initiative with an ambition to provide a portal to different type of data sets grouped in different themes. Interesting is that the data sources are not only including information about public infrastructure, like roads and maps,  but some of the data sets now also include more domain specific information like environment or culture related data.  Especially the environmental related data can be very important to creare a more sustainable society.

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Opendata initiatives and the SmartCity

Governments and city administrations have also realized that sharing the data assets they have can help in the development of a SmartCity vision and improve the life quality of their citizen.

Around the world many cities have quick-started opendata initiatives to stimulate innovation in the urban context.

As  an example in the city of Amsterdam, DIVV, the city’s department for Infrastructure , Traffic and Transportation has

made available all its data on traffic and transportation to interested parties.  Data about parking (tariffs, availability, time), taxi stands, cyclepaths, stops for touringcars are public.

By having a competition on the best applications and rewarding the winners, they attracted a lot of potential startups that want to leverage ont the data . On the 2012 winners is ParkShark an application which helps you find available parking places using predefined criteria. The benefits for the citizen is less stress when searching for parking and for the city is ultimately reduces CO2 emissions and will optimize parking usage.

To go back to the previous example, the city of Vienna has been exposing mostly GIS based information like infrastructure, musuems, bus stops and other usefull data, but have now also started to expose real-time data. In particular they are exposing real-time traffic information about communal transportation systems.  There are today roughly 100 applications that have been designed specifically to leverage on opendata in Vienna.

Opendata will be a catalyst for innovation

The opendata phenomenom is growing rapidly around the world and I strongly believe Opendata will be a catalyst for innovation everywhere. It is important that startups and innovators realize that there is a good mine of data that is available for them to create value for citizens and governments.

Will wearable computing take us by storm?

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The world of wearable computing is evolving at lightspeed and the impact these connected devices will have on our daily lives will be dramatic. From the simple fitness devices we see today, to the smart watches and google glasses which are just around the corner, we are not too far from some of the visionary scenes of a movie like ironman. 

Skeptics will say that wearable computing industry is still a big hype but I believe we have hardly seen the tip of the iceberg and there are just too many technology trends converging and too many business benefits for this not too happen at a large scale and much faster than anticipated.  Here is why…

Connectivity is almost everywhere

Mobile Connectivity is almost everywhere, being it through Wi-FI or 3G and LTE, we can now be constantly connected with our mobile devices and at affordable rates. Mobile data share plans will also make it easy to connect more devices to our current subscription, but in the worst case you can always use your mobile phone or home gateway as an aggregation point. The truth is, that any device that benefits from a connection will have one. The phone is most likely to be our aggregation point for data traffic, since this is the device we always carry with us, but this might change over time.

Wearable devices us Open Source Operating Systems, Open API’s and SDK

Wearable devices are becoming mainstream, fitness devices produced by Nike or Fitbit are already part of the common sports gear and soon we will see smart watches from Sony and Apple on retailer stores. Health monitoring devices are also appearing as mass market devices.  Many of the devices we see right now are very much single function or very focused functionality which means they do not necessarily need to be open to the developer community but this is changing as the device becomes more of an interface to the rest of the world.

Many devices manufacturers that see the wearable device as an interface or a portal will most likely want to build on open operating systems, being it Linux or Android they are providing open API’s to stimulate innovation and community engagement. We see this already with Google Glass supporting HTTP REST API’s to interface with their device. Google’s main competitor Vuzix is taking a similar approach and seem to have come even further since they have a rich SDK and a developer program to encourage innovation.

In addition to these hub devices, with Open API’s we also see companies developing sensors that can be embedded in cloth and some even washed.

Cloud infrastructure and Bigdata

With the availability of cloud and bigdata infrastructures it also means that the data captured by these wearable devices can rapidly be processed and insights can be actionable insights can be gained. It also means that the data can easily be augmented to be provide new information and insights to the end-user of the device.

Imagine yourself walking through a book store with you google glasses and by zooming on the ISBN, or barcode you get access to instant book reviews from Amazon, pricing information and other information about the book author. The system could also provide you with recommendations you might like based on your previous readings and by access the local in-store information portal you could actually get guidance on which shelf to find the book. That is if you are still going to bookstore.. but I guess you get the point.

Cloud, bigdata and analytics could change the way we use devices and transform them to become some kind of life support system.

Consumer and Business Benefits

I believe consumer and businesses will both drive the development of wearable computing.  On the business side devices like smart glasses enhanced with augmented reality will allow major costs saving and efficiency improvements in the enterprise, especially in segments where you need your hands free. A good way to exemplify this is how SAP and Vuzix are partnering to bring augmented reality solutions to the enterprise. In this video, you can see how the smart glasses allow a logistics worker to get important information and guidance in his daily warehouse activities while keeping his hands free, this allows him to save time and avoid dangerous situations. If elaborate a bit more the needs from job safety you can find all kinds of wearables devices, what if you would start measuring vital signs of people working in hard physical environment, that could help do preventive care.

On the consumer side healthcare and fitness are two big interest areas and we see more and more self-diagnosis and monitoring devices appearing on the market.

If you have a sense of humor, you can also check out some more exotic projects like Durex Fundawear.The famous condom manufacturer is working on underwear which can be controlled with you mobile phone, no more on that!

Another interesting example is the invisible bicycle helmet, it looks like some sort of scarf, but is in fact a hidden airbag for cyclists, that use sensors that determines when to unfold.

Earlier this year Juniper Research issued a report forecasing a total of almost 70 million smart wearable devices sold in 2017, including smart glasses, health and fitness devices along with enterprise wearables, compared to almost 15 million sales in 2013. I believe these numbers are still conservative.

So will wearable computing take us by storm?

I believe it will, the technology is there and the benefits are huge both for the consumer as well as the enterprise, but time will tell how fast this will really happen. Also I am sure I have missed plenty of use-cases and companies doing great stuff. I would love to get your feedback, experiences and thoughts about this topic.

M2M & BigData giving life to the Connected Society – Part 3(5) – Retail

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When it comes to bigdata, retail is an industry which is quite mature compared to the ones mentioned in my previous articles, especially if you start looking at companies like Wallmart. The subject of bigdata is already well covered but I hope I can give an additional twist on the current developments by taking M2M into the picture.

Wallmart has leveraged bigdata and analytics for a number of years now. The amount of data they collect is already at the level of petabytes and they save information about all of their customer transactions, more than 1 million per hour, and it is mainly related to receipts and purchases.  Even with a single source of data, it already provides a lot of insights when properly stored and analyzed. Today, the average retailer in the US has about 700 Terabytes of stored data. This is huge already. Processing this data requires often big investments especially if you want to process the data in real time.  But bigdata is not only for big enterprises it can also be offered as a service and a number of service providers are moving into analytics as a service, this will revolutionize the way retailers do business.

Connecting the right type of data sources could provide value even for the smallest companies. Most retailers own information collected at the point of sale in terms of receipts, purchases done, but that is not the only valuable source. Using video surveillance cameras to analyze customer behavior or combining information from mobile devices or social media could be other valuable sources. Much of this information comes today from mobile and M2M devices, but that data is often stored in silos and it can be difficult to get actionable insights from this data.  I think the key for smaller sized retailers will be to expose their own data assets, get that data enriched and get analytics as a service from specialized service providers. The question is now, how can these insights be used and monetized?

Productivity improvements and cost savings

A first application of properly processing retail data is to achieve cost savings. Knowing which items are in demand ahead of time and knowing what will sell can help to optimize inventory and supply chains. Utilizing big data could increase retailers’ operating margins by up to 60%, this could include savings in marketing, merchandising as well as supply chain.

Looking ahead, I could easily imagine in a not so far future, that bigdata and analytics could also become a means to improve in store customer service. Imagine a clerk in a fashion store that would know as you enter his store what you like in terms of clothes, what you sizes are, what colors you prefer and understands your purchasing behavior, he could serve you faster and better. This would result in more customers served and a better sales ratio.

Generate revenues from customer Insights, sentiment and behavior analysis

Another application of bigdata is to improve customer loyalty and reduce churn. To continue with the Wallmart reference, they have developed a product that allows them to reach customers, or friends of customers, who have mentioned something online to inform them about that exact product and include a discount. Using social media and combining that with purchasing data and contact information it allows them to implement pro-active measures and hence avoid churn or even attract new customers. This creates loyalty and strenghtens the brand image.

Retaining customers has also to do with the experience they get when interacting with the retailer, this is in part achieved by delivering relevant ads, offers, and promotions. Personalizing offers means making offers more revelant to a customer by having specific knowledge of that customer’s profile.

Securing increased sales is also related to the ability to rapidly adjust to the competitive environment. Most of us are sensitve to pricing and customers will often look for peer reviews to find the best place and time to buy an item. Being able to quickly adjust to this competitive environment will be key for increasing sales and sometimes even for survival.

M2M and mobile devices will play an increasing role in customer profiling.

There are today many data sources that are already in digital format and could be used in a big data context. From a retailer context we have customer information, this is often tied to the purchases done in that store through an opt-in loyalty program. Then there are the product catalogues and the actual status of the inventory.

The next step in personalization is coming from Mobile Devices, through applications which will let customers specify preferences, provide navigation capabilities to be guided to the right store, get relevant advertising and also get recommendations from other customers on the items they are interested in.

I think though that the biggest disruption might come from a smart usage of video cameras (e.g. surveillance camera) and other M2M sensors. Images from cameras in a store could help identifying who you are and support retailers to pul up a full profile of your customer preferences. Most of us tend to trade in privacy for convenience, so I have not doubt that every individual will sooner or later have pictures of himself tagged somewhere on the net and that could be the starting point to pull more information about you as a customer. But there are other mechanisms to identify you as a person as for instance foursquare check-ins or the social media profile you are using when logging to wifi.

Location information is going to be quite important to target shoppers. This could be obtained from mobile systems, wifi or tracking from video cameras. Video cameras could also be used to analyze how customers are focusing on different items in the store. This could help understand interest for certain items and maybe also decide when and what to discount. Another application of video camera is for instance to get the right sizes of the customers when entering a fashion store.

Digital signage in shopping malls and retail store can also be used to provide tailored messages and personalized ads to shoppers in or outside the store. A few seconds is probably enough to reach out to a shopper with the right message and the impact of the advertisement can probably be measured if the sale is done within the next  hour. Digital signage could also be used with cameras to analyze shopping carts and make a last second recommendation on something you might have forgotten to buy.

Other smart devices collecting data about users could be smart mirrors,  that record reactions when trying out clothes or screens that provide a personalized greeting when entering a store.

The future of retail – Smart Shopping malls

If I picture the future of retail I would imagine a smart shopping mall where customer experience is at the heart of this business. I would enter the mall and get greeted with a personalized message, the map of the mall would be downloaded to my mobile and I would get a recommendations on a few stores to visit. I would get discounts for the items I been looking for, especially the I have been reading recommendations about on the internet. This would be part of the profile information the mall is pulling up for me. As I walk and watch the digital signs I see more information about the products I am interested in. I enter a shop. The clerk again greets me and guides me directly to the item I am looking for and provides also alternative color options based on my preferences. Not much to ask me since he has all this information on a tablet.  As the clerk knows I am price sensitive he gives me an extra discount. If I picture the future of retail I would imagine a smart shopping mall where customer experience is at the heart of this business and where bigdata and analytics provide value at every step .

M2M & BigData giving life to the Connected Society – Part 1(5) – Healthcare

This post is part of a series of 5 posts that I intend to write on how M2M and Bigdata are made for each other. I will start with covering the benefits in HealthCare industry and then address Automotive, Utilities and Retail. In the final post I will go through some of technology requirements needed to properly address these opportunities.

Exponential growth in device generated data

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This is the start. Connected devices are becoming ubiquitous to out daily lives, whether it is consumer devices like smartphones or smart TV’s, everything else is becoming smart as well, and everything is somehow connected to the global cloud. This applies also to most enterprise equipment.  From smart meters, to smart cars, ehealth devices, everything that benefits from a connection is today getting one.

The data generated by these connected devices is skyrocketing. In its report “The Digital Universe in 2020, IDC, a market analysis firm, predicts the amount of data produced by connected devices will grow to 40,000 exabytes by 2020. M2M is the biggest source of the data that will be generated in the coming years.

Much of the data produced by connected devices will be unstructured and gaining insights from this data will need a different approach than what we get from conventional databases and traditional analytics tools.

Gain insights and act on them or somebody else will…

Gaining actionable insights from the huge amount of data will be a key success factor for any company. With the right insights it will be easier to create value to a specific value chain. And with the right insights at the right point in time, service providers can get closer to their customers, companies can reduce cost, improve efficiency, deliver upon the needs and expectations of their customers. In the long-run better insights means improved competitiveness.

Digitalization has already lead to disruption in current value chains as we have for instance seen it with the music industry. Similarly bigdata will have a huge impact on current value chains. Companies embracing big data opportunities will gain a competitive advantage in the value creation game and will also use that to enter brand new markets. So let’s start to have a look at what these opportunities are and why bigdata is key.

Medical Data from improving healthcare quality to quantified self

Healthcare is probably one of the most interesting areas both due to the amount of data generated as well as the opportunities it creates. From reducing healthcare costs to improving life quality the opportunities are real.

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It is estimated that by 2015 the average hospital will generate about 665TB of data. 80% of this information will be unstructured data in the form of videos, images and emails. The amount of data is huge and untapped.

To put things in perspective a single CT scan represents about 1GB of data, while an X-ray takes about 30MB. Doctors around the world would benefit from instantly accessing patients records, comparing it with other patients.

Soon the analytical tools to mine this data will be there. The opportunities are in predictive medicine and preemptive measures. Predictive medicine will allow earlier and better treatment. Comparing data which is normally contained in different silos, will allow doctors and hospitals to infer new insights and improve the decision process. For instance, people genetically predisposed to certain diseases will get faster diagnosis and more accurate treatment. It will be possible to better asses the risk profile of patients and hence better understand the optimal time to release a patient from the hospital.  According to a Mc Kinsey report up to $70 billion could be saved by otpimizing discharging timings in hospitals. Monitoring different patient behaviors could also help doctors to recommend pre-emptive actions to avoid future illness or complications.

Telco’s are moving into healthcare value

Now with all this data neevideo_264_c_1307533420_rsf_orangeded to better process patient treatments and the increasing connectivity requirements between patients, doctors and hospitals, their is an opportunity for telco’s to play a major role in healthcare.

Orange is probably one of the best examples of how an operator has successfully managed to take a major role in healthcare. They are today providing data centers to doctors and hospitals to instantly share patient records including all imagery, they are working with hospitals to improve efficiency by improving supply management and are optimizing flow of patients by automatically delivering orders to staff and supporting vehicles. Orange is also providing telehealth solutions to improve the interaction and communication with patients.  The next level of value creation for telco’s will be the ability to create additional value through analytics as a service.

Healthcare going over the top…

Now beside the genetic predisposition to certain diseases, the lifestyle and activity a person performs has also a lot to do with how that person’s health develops. So how much information can we actually capture about these habits and behaviors that could really affect our health, and how much of this are we actually sharing with our physician?

Health-Score-OverviewSport brands and Fitness companies are probably among the first that recognized this. From Nike fuelband to fitbit, which boht started measuring fitness activity, there is now a whole range of companies that have gone beyond and have the ambition to become every consumer’s health and fitness partner (see for instance health score application from dacadoo.com on the left).  Sensors, self-testing devices are becoming reasonably priced and people start investing in their own health through technology rather than relying only on the existing healthcare system.

I wouldn’t be surprised if in a few years from now a big part of the healthcare industry goes over the top. As an individual I might be investing in a number of monitoring devices, that will give me real insights on my health and might even give me more accurate diagnosis than my local physician, since I cannot lie to a device.  When connecting all of this information to the cloud, by identifying patterns and similarities between different users, a lot of insight can be collected and recommendations can be given, maybe even for free. If I am a device vendor/sensor vendor, I might just do this to boost sales of devices. This is similar to the approach apple has taken with its ipod and itunes and has that way disrupted much of the music industry.

One example of how such approaches could replace some of today’s approaches is food allergies. Proper allergy tests are still damn expensive but by recording for instance what i eat, how I feel, and comparing that with other patients records and foods databases, I am pretty sure you could infer mild form of allergies and treat them in time and with better quality.

This philosophy or starting to measure everything about yourself and sharing it in exchange of advice is pretty much at the heart of the quantified self movement. Quantified self is an interesting trend since it means that individuals are investing time and money to monitor themselves with the ultimate goal to improve their quality of life.

Finally, medical records, tests made, genetic profile could also be overlaid with earlier mentioned lifestyle related insights: combined with fitness levels, food consumptions, spleeping patterns or even mood or feelings could provide even more insights if analyzed and mined properly.

So in ten years from now who will be your first choice for healthcare?

My best bet is that it will be whoever gives me the best insights on what my health is, gives truly personalized advice and treatments, and interacts with me in a way that conveys both trust and empathy.

With global connectivity and emerging cloud services, this provider does not necessarily need to be local. Global connectivity and cloud means that the cost of providing diagnosis will fall and that might lead to traditional boundaries for healthcare slowly falling.  National and regional Healthcare providers will have to step up to the challenge and probably join forces with Telco’s to stay competitive.  If they don’t then movements like Quantified Self will sooner or later create the “Skype” or “Whatsapp” of the healthcare industry.

Why Telco’s should invest in bigdata capabilities

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What is bigdata and what are key operator data assets?

In a nutshell bigdata is about getting actionable insights from data which is available in huge volumes, has high velocity and is often found in a big variety. These are the so called 3V’s of big data. While the volume definition is very clear, with velocity we mean data which is of value only for a short period of time, possibly a few minutes or less. The variety of the data is also a bit difficult to understand at first. Here we talk primarily about the huge amount of unstructured data which is today hardly harvested, as an example you can think of insights found in text, images and video.

Data amounts available to analyze are huge and grow exponentially. An IBM study showed that 90% of all data available in the world has been produced over the last two years only. Operators sit today on huge amounts of data themselves, but few have started to monetize that knowledge neither internally nor externally.

There is probably different ways to segment the operator’s data assets but the taxonomy I used below is simple enough so that anybody can get a feeling for the types of use-cases that could be monetized by Telco’s. This taxonomy is based on different types of contexts which provide value to the telco or to a third party.

  • Operators have today a good understanding of the situational context of their users (i.e. position information, whether I am in mall, in my car or in an movie theater),
  • they understand my behavioral context through my devices I am using (am I in a call, watching my IPTV or browsing the web and which sites)
  •  and they know about my social context (most frequent people I call, my preferences through the content I am consuming, the places I go, which social networks I belong to and of course my billing information)

Now for privacy reasons much of this data cannot be exposed without the consent of the end-user,  unless there is an opt-in close when subscribing to a service. In any case the data can most of the time be made anonymous and brokered as such.

The opportunities for Telco’s are numerous but can be seen as internal and external opportunities. Improving retention and revenues by becoming more customer centric and better managing the customer experience is an internal usage of these insights, while an external usage is to provide new services to enterprises that will help them to improve their own efficiency and decision processes. In this post I will only cover the external bigdata opportunities.

Targeting enterprises with BigData Services and strengthening cloud offerings

From a 2102 Gartner study you can see that most industries are in the process of investing or a planning to invest in Bigdata technology of the next 2 years. Rather than further increasing ICT spending and OPEX in the enterprise their is an opportunity for operators to provide cloud services and become the technology partner for bigdata.

Gartner-diagram

While telcos are probably a bit late to the market with cloud services compared to companies like Amazon, operators have still a privileged position when it comes to trust, security and service level expectations. Telco’s are still privileged partner for larger enterprises, industry verticals and government mainly because of their local presence. This is why they need to invest in this area now or necessity will take over to find alternative providers.  For Telco’s the opportunities in bigdata when part of a cloud offering, can probably count the folowing non exhaustive list.

Storage provider – Data-as-a-service

For enterprises that collect or want to collect data, they will rapidly have to consider how to store that data in a cost efficient and scalable manner. This is where telco’s data center could be used to provide elasticity and handle that demand in a cost efficiency way. Of course depending on the type of enterprise data, there are important questions to address when it comes to privacy, integrity and security of the data, but operators are probably well positioned to offer Data-as-a-Service to different industry vertical according to the enterprises expectations.

Analytics-as-a-Service Provider

The tools and processes needed to gain insights require major changes and investments in the enterprise. Now even if you have data and can store most of your data, it sill requires new tools and competences to be able to gain insights from that data. Telco’s  could play a major role in taking bigdata to the masses, especially toward the SME’s where efficiency and agility is so important. Providing business intelligence reports, visualization capabilities as well as dashboard views are few of the Basic mechanisms to put in place.

Data Enrichment and brokering – Enriched Insights provider

The data operators own has even more value if consolidated or federated with other data sources like social media, government or enterprise data. If this data can be exposed and analyzed it will provide further insights that a government, large enterprise or industry verticals will be ready to pay for.

Become a strategic partner for enterprises, industry verticals, governments and the public sector

A said earlier, operators have a privileged position when interfacing governments and regulators and should leverage that position. In order to stay competitive and sustain economic growth governments need to take faster and smarter decisions. This often means collecting and analyzing more data to improve the decisioning process. By leveraging on bigdata technology, federation and analytics, operators could find new means to address value chains for which they were today only providing connectivity and communications.

I won’t be able to cover all bigdata opportunities where telco’s could provide value, but nelow you will find a couple of examples where big data could be useful and it will show how that could help operators position themselves in new value chains.

M2M and BigData

A simple example that could be considered here is how an operator can use big data to combine multiple structured and unstructured data sources to provide additional value to vehicle fleet management solution.  Analyzing social media streams, outgoing calls or lack of movement along certain roads, can help provide real-time information that could be useful for redirecting vehicles or a whole fleet. In addition the operator can combine this services with automated communication to guide a track, bus or taxi toward the right destination in real-time. Automative industry, Health care, Telemetry and most industries using M2M sensors could benefit from bigdata and analytics to increase the value or services offered by operators.

Retail and Advertising

For advertisers and retailers targeting the right audience and the ability to prove that you can address the right audience is worth heavy dollars. The propensity to buy for a customer is heavily correlated to how much know about that person, it tastes and preferences. Operators have a lot of information about the user profile, but more could be collected through the various portals and even through packet inspection. By analyzing consumer likes on social networks, purchases on amazon or  zapping patterns on an IPTV system a lot can be learned and shared.

Urban Planning

Urban planning can certainly benefit from the insights operators have in terms of road traffic development and customer segmentation in order to improve build-out of new infrastructure, including roads, housing, schools and hospitals.

Security Services

Take the example of a mall where you have cameras monitoring everything that happens. Quickly analyzing what happens over multiple video streams to identify a theft and identify the person would require real-time processing and federation over multiple data sources. Operators could be a natural broker for this type of use-case.

… and many more industries can be addressed

Many more industries and verticals could benefit from bigdata investments, but it would be difficult top properly cover all of this in one post. If there is interest from the community I will write separate post on how big data can help Education and Healthcare, which are two topics that deserve their own analysis.

Finally, BigData as a means for Telco’s to become a community as well as a lifestyle provider?

For telco’s there is potentially more at stake. Bigdata provides opportunities for operators to become more customer centric and become more relevant in their consumer’s lives. If done right they could become this lifestyle provider they have always dreamt off becoming.  By strengthening relationships with governments and selected enterprises they could also take a more active role in the community and by that increase their relevance both for consumers and enterprises.