Category Archives: Internet Of Things

The technology backbone of IOT – what’s needed from a platform POV and how to think about it

As previously stated there is a tremendous opportunity created by the fourth industrial revolution and the technologies powering it such as ubiquitous connectivity, big data, analytics and the cloud which combines to enable the “internet of things” (IoT).

Already we are seeing organizations go “all-in” and accelerate. Examples include Schneider Electric and Rolls Royce who are pivoting today for the future. We are also seeing IoT projects having a material impact on society such as the example of a combination of partners coming together in Nigeria to transform lives by making electricity delivery more reliable through IoT.

What each of these organizations have in common is a recognition that their existing technology needed to be augmented to help them better leverage the opportunities of the future and deliver the new services and optimized experiences that will enable them to thrive.

In this vein, progressive organizations and governments have begun building a next generation digital software platform that is:

  • able to span the IoT spectrum, from the things they want to connect to the actions they want to drive;
  • able to provide the connectivity to communicate with the things in BOTH directions for the purpose of command and control;
  • able to handle the data acquisition, storage and management of vast quantities of data at good speed and economically sensible and scaling price points;
  • able to deliver a strong analytics underpinning that supports the very latest cognitive technologies as well as machine learning and statistical approaches to derive intelligence, foster usage and drive more educated business decisions and actions;
  • able to enable the development of web, desktop or mobile applications and/or delivery of out of the box reporting;
  • able to seamlessly support the connection to productivity, ERP and other SaaS applications to drive action and close the loop automatically;
  • able, as a core priority, to deliver end-to-end integrated security. We live in a world where trust and privacy are paramount and the weakest link is often “add-ons” not originally designed to work together.

Let’s go deeper on a few of these important areas to consider  when building a next generation digital software platform that is IOT ready:

Sensors and Security

IoT projects inherently need sensors on physical things monitoring and interacting with the physical environment via a digital twin. The most exposed parts of an IoT enabled digital software platform are often the physical things and specifically:

  • the software running on the thing – how secure is it;
  • how data is handled on the thing – how is it locally stored and securely transmitted;
  • how secure exchange and execution of command and control is handled with the thing;
  • how identification and authentication happens to prevent spoofing or other issues.

Security of any next generation digital software platform is paramount and there is much ground to cover. There is a helpful blog post on How Microsoft engineers for IoT security and you can read the whitepaper Securing Your Internet of Things from the Ground Up.

Cloud based

So called smart things are generally always connected, always on and always generating data. The incoming data requires ongoing evaluation to deliver the level of service people will expect and the amount of data will continue to grow.

This implies that the platform must be:

  • universally accessible – things move. Your services need to keep working no matter what;
  • secure and reliable – nothing will turn off the next generation more than lax security or poor reliability;
  • able to scale quickly – you never know when the next “big” thing might hit. Look at “Pokemon Go”. Imagine if this was your service exploding into life. You need to ensure you can scale up and, when interest in that service wanes, scale down based on demand.

The only way to deliver that, unless you want to run huge budgets on non-value add in-house IT services, is through a cloud based approach which guarantees accessibility, reliability and speed.

Complete and agile

The next generation digital software platform must support end to end development and integration of systems of intelligence, which power these new smart “things” and their services.  The platform needs to have the capabilities you need in one place pre-integrated. Time to market is critical, as is security, and patchwork integration is the brake and risk multiplier you cannot afford. The platform must also be agile and flexible so that you can change according to market shifts.

Pulling it all together and getting started

The idea of a next generation digital platform with such capabilities might sound dramatic but the opportunities it brings are huge. The next generation digital platform will provide the technical foundation to launch new companies and services or revitalize existing ones. But, where to begin?

Microsoft offers an IoT QuickStart Program with guidance on where to start. The program offers a real-world plan to suit unique needs you may have, focused on the issues you want to tackle and the services you want to deliver, so you can start transformation immediately and progressively. The end goal is clear but how you get there depends on many things in the local contextual environment.

In the next article I will discuss a little of how to get the enterprise ready for the shift and how to ensure they come along with you on the journey. Thanks for reading!

Collaboration and learning – how to stay on top of the evolving trends for the good of your organization

Collaboration and learning – how to stay on top of the evolving trends for the good of your organization

What is different with the fourth industrial revolution is that it is fueled by an always-on flow of data, which in turn is driving the creation and use of knowledge as a core asset. This knowledge economy typifies the outcome of the fourth industrial revolution. Using data organizations derive knowledge that enables them to:

  • Engage customers through new and differentiated experiences;
  • Empower employees to differentiated levels of agility and productivity, securely in a digital culture;
  • Optimize operations to be to be efficient through digitizing business process, leveraging cloud and modernizing the workplace in the process;
  • Helping enable the transformation of products and reimagining of business to disrupt their industry.

Organizations and governments need to start out deciding what they want to influence and in which order. From there they need to consider an end-to-end approach to instrumentation and data collection as a core part of their fabric. Once that is in place the attention shifts to how they can leverage that data to derive the knowledge to meet their stated goals.

The technology of ubiquitous connectivity combined with IoT, the cloud, big data and analytics ensures every organization can take part in the knowledge economy but the direction to take depends on what an organization wants to do and in which order as well as their desire to change.

In short, the future demands a new data and knowledge driven mindset in every organization and government.

 

Illustrating with an Example

If we look at car manufacturers, previously a car was delivered to a dealer, who acted as an intermediary to the purchaser.  In this model, the dealer had the relationship with the customer and data only went back to the manufacturer when something went wrong. In essence the manufacturer knew very little of how the car was being used and how it was performing once it left their production line.

Now, with vehicle sensors delivering regular telemetry data, it is possible for the car manufacturer to offer directly engage customers through new and differentiated experiences throughout the lifespan of the vehicle. Essentially this means that the car manufacturer is no longer simply the producer of the car but also the software platform powering a new world of in-car (often safety related) value adding services. This makes every car company a software company overnight, which is new territory and changes them from a pure manufacturing company to one that is also very much a services company. It is not unreasonable to think that in a number of years’ time you could even get the car for free by signing up for a collection of services you pay for over time.

The rich data now directly available to the car manufacturer means they can offer new data driven services which equates to a fundamental transformation of products and reimagining of business potential for them. New services such as predictive maintenance become possible which not only optimizes servicing but reduces the risk to drivers of a suddenly failing part which could be a life threatening event. By monitoring where the car is and suspension usage they will be able to detect roads that need repair and sell/pass-on that data to others who can leverage it to improve things for everyone. The possibilities are endless!

Essentially this shift opens the doors to new revenue opportunities for car manufacturers and new services for drivers and those who may be affected by drivers on our streets.  To support the creation of these new services car manufacturers must collaborative more than ever. They need to refresh existing partnerships and establish new strategic relationships so they can thrive moving forwards.

Schneider Electric Has Already Embraced This Change

At the recent World Economic Forum, Jean-Pascal Tricoire, Chairman and Chief Executive Officer, Schneider Electric, spoke about this shift clearly (full video here) saying that now they “stay connected 24/7 so that means we can bring new value, new capabilities and a lot of new services“. You can learn more about what they are doing with Microsoft here. The point is new relationships and ubiquitous always on connectivity is a massive opportunity to grow a brand, customer satisfaction, the top line and drive a new wave of process automation and optimization. To get to this thinking Schneider Electric have redefined relationships and then empowered new ones using a next generation digital software platform. Of course, they are just beginning this journey but are ahead of many.

Not Just Limited To Making Or Saving Money

The benefits of the fourth industrial revolution are not just focused on the top or bottom line of an organization. Governments should embrace the opportunity to utilize ubiquitous connectivity to help with information flow to citizens and improve not only the citizens’ connection to public officials but also the services they are provided. Governments can use IoT to gather data that lets them monitor and improve water and air quality, provide better quality of services leading to streamlined refuse collection, optimized traffic flows, reduced expenditures on lighting, heating and more.

One recent example is a government initiative from the States of Jersey which allows citizens to track the buses on the island. In this case, they delivered new sources of information to citizens helping parents to see, for example, when their children’s school bus might be arriving to the stop where they might collect them so they are not waiting and children are not left standing on their own. This is a simple example but smart cities offer great promise as discussed in this post by Microsoft executive vice president and president, Microsoft Global Sales, Marketing and Operations Jean-Phillipe Courtois with far reaching potential impact for citizens.

Focus Going Forwards

If you want to be a driving force in the fourth industrial revolution you have to:

  • Pay more attention to relationships and partnerships. Refresh existing ones, terminate those which no longer make sense and seek out those that can propel you forwards.
  • Reconsider how relationships with the end user of a product or service might evolve with the advent of IoT, the cloud and more.
  • Think about which new data might unlock new potential and how to get that data. Don’t just think outside the box…. think in a transformational way with the sky as the only limit because that is what your next competitor, who may not exist today, will be doing.
  • Start now, focused at first, and accelerate!

It is for this reason that Microsoft has focused much attention on helping to connect sensor and device manufacturers, ISVs, Systems Integrators and more. By connecting you to this broad set of partners you can start to build new collaborative partnerships and have access to some of the brightest minds who can help you challenge your own thinking.

Watch this space for more information next week on technology and IoT. Thanks for reading!

Originally published on the Microsoft News Center here.

Continue reading Collaboration and learning – how to stay on top of the evolving trends for the good of your organization

Defining the Fourth Industrial Revolution: Where IOT fits and the potential

Defining the Fourth Industrial Revolution: Where IOT fits and the potential

Embracing change

Continue reading Defining the Fourth Industrial Revolution: Where IOT fits and the potential

The IoT Continuum – How do you see it?

The IoT Continuum

How do you see the IoT ContinuumOver the past months I have read a great deal about the Internet of Things (IoT) and how companies are moving forwards with it.

Looking across all the stories on the web it is clear that there is an IoT Continuum when you look at the different types of projects out there which many vendors are talking about.

This post shares some phases which I have summarized. I am interested to know if you think there are intermediate phases or even phases before or after these. I would also love to hear if you would alter the names and the focus!

Introducing the IoT Continuum

There are three things I see happening today with a fourth one maybe being the future.  Certain projects will contain multiple phases of the continuum over time with each building on the previous one and each phase might be a milestone in a much bigger goal.

The IoT Continuum

You might have ideas for different names for these and I would be very open to hearing your thoughts on that. The main question I want you to think about, after reading the phase descriptions below, is if you see different phases I have missed altogether? If so please share your thoughts and pointers to the stories that support them as I am eager to learn.

Continue reading The IoT Continuum – How do you see it?

Next Up : Internet of Things, Cloud and More Analytics

In my recent post I shared that I was leaving SAS after 18.5 years.  It has been overwhelming to see all the comments in response to that post on LinkedIn, Facebook and on the Blog post itself. Thank you to everyone for the kind words and for all you did to make my time at SAS the success it was. Seeing all those comments made me even more sad that I am leaving!

Many people have asked me where I am going next. The job market is a very interesting one at the moment and it was great to receive a number of offers to consider over the time of my search. Deciding where to go next was not easy especially with some self imposed constraints playing over and over again in my mind. I must also say that staying away from the shiny lights of the booming title is not as easy as it is to write down :-).

There are many great companies out there. I hope I will be able to stay in touch with those I spoke to moving forwards. Many thanks to each of them for considering me for their roles and for their time investment!

What’s Next

DecisionNow onto the future. I am now able share my next move. It is one I am very excited about.

I am going to go work for Microsoft (although I will remain located in Heidelberg, Germany) when not travelling as required.

Continue reading Next Up : Internet of Things, Cloud and More Analytics