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Archive for the ‘Big Data’ Category

iot-tele2I am a simple sales guy, working with many different companies across the world, helping them getting their devices connected. I have customers in many different industries such as; telematics, smart metering, asset tracking/monitoring, security, health care, automotive and so on. Working with such a mix, gives me an opportunity to analyze what companies do with their IoT initiatives in different industries. In this blog post, I will share what I see is happening in real life based on my own personal experience.

First of all, many companies are talking about IoT and dreaming to getting their business model changed from selling product to selling solutions/services. Because they want to differentiate their products, get closer to their end customers, better understand how/when/where/why their products are being used etc. I think there is a lot of focus on the technology side of IoT and a lot of companies are lost when it comes to what type of sensory data to be collected and how this data will be converted into increased revenue & reduced costs.

I will divide my experience into 2 separate chapters as Technology and Commercial parts. In my opinion IoT should be very much tied into a commercial goal and just to connect things will not be enough at the end to truly innovate. What I see in real life is that most of the companies start with solving a simple problem, which is nice – as they start small, but missing the big picture of the potential savings/improvements that could be achieved with that specific IoT solution. (more…)

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shutterstock_60766669M2M and IoT is emerging with a higher speed than expected. The ecosystem is becoming mature and the players know where to position themselves. As the ecosystem converges with Cloud and big data, businesses need to get ready to address the new wave of connected devices and the intelligence they carry. I do not believe in the story of collecting all intelligence in the center, via the data delivered by edge devices. Because the agility, durability and security of the edge devices will directly impact the results of the total intelligence.

Agility in my term defines the ability of a connected device to adapt different applications. This requires running a flexible software environment that caters for different application requirements. (more…)

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machine to machineI should say for a Telecom operator to be successful on M2M requires some serious efforts. A dedicated M2M team (technical, support, operations, agreements, sales in the ground and a strong management etc), different KPIs and goals for the M2M unit, much more flexibility and support from the top management.

Europe is not doing fine economically and people are spending less and less on Telecom services. For Telcos to keep growing, they should invest in new areas like M2M, Cloud and Media & Entertainment Services. However, the success will not come quick and margins are not as good as we got in typical Telecom services. I see that more and more Telcos in Europe are taking serious steps in M2M and leaving the Cloud to IT providers; making M2M a bet of Telcos and Cloud for IT playes.

Teleco industry needs a new push and new units might bring that extra jump for growth. M2M is an opportunity for Telcos and for sure requires a different approach and skills. My recommendation is, select your fight and go for it. But do not expect quick wins.

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IoTI am part of the M2M global solutions team at a multinational Telecom company and one of our main goal is to follow the trends and make sure that the whole company is moving to the right directions. Being a Telecom company the first thing we want to win is of course the connectivity and also the device platform services. (more…)

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One petabyte a day: That’s how much data BMW’s Connected Drive cars will generate by 2017 reckons BMW Group IT infrastructure chief Mario Müller.

I took out this note while listening BMW group’s Cloud presentation at Telecom Cloud Services Summit at Berlin this year. M2M data will need a lot of IT capacity and the data produced by machines will be a real source of revenue. I realized that a lot of Telcos are still confused when it comes to M2M and Cloud business models. Many invested heavily into the infrastructure and getting ready for a big fight against global giants such as Amazon. Well, sure they can differentiate based on their local market demans but I am a bit sceptical to IaaS, except storage, at all.

I realized that when Telcos talk about M2M it was all about providing connectivity and mainly about infrastructure when it comes to the Cloud. None of the CSPs really talked about Big Data yet. I believe enterprises need more than basic connectivity and infrastructure. I think they need a solution, which will help them create business intelligence and value for them. I think big data analytics and ICT business solutions are the future for CSPs.

Around sixty percent of CSPs fear they’ll be bit-pipe providers in the M2M and Cloud market. To avoid this, they must have the ambition to take some more risk and be more innovative. I do not agree at all – as one Telco professional stated on the panel- “telcos are expected to be evolutionary not revolutionary”. Telcos need to better understand the business value of their offers and be more a complete ICT providers, extracting intelligence from the pipe – instead of simply delivering connection from A to B.

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