Category Archives: Future Technologies

The Open Group London 2014 – Day Three Highlights

By Loren K. Baynes, Director, Global Marketing Communications, The Open Group

After an evening spent in the wonderful surroundings of the Victoria and Albert Museum, delegates returned to another London landmark building, Westminster Central Hall, for the final day of The Open Group London 2014.

Following on from Tuesday’s schedule, The Open Group event continued with tracks covering topics including Risk Management, TOGAF®, an Open Group standard, Security as well as The Open Group Open Platform 3.0™. To begin the Open Platform 3.0 track, Mark Skilton, Professor of Practice, Information Systems Management, Warwick Business School discussed the real world implications of Open Platform 3.0. To do this he looked at both the theory and practice behind technologies such as Big Data, social media and even gamification and their adoption by companies such as Coca Cola and Hilton.

Mark detailed how such companies are amending their business strategy to take into account these new technologies to drive business benefit. Mark went on to say that Open Platform 3.0 is serving to help “contextualize the moment”, essentially making it easier for individuals or businesses to interact with goods or services. This he concluded is being driven by people’s growing value of time – we want a more seamless experience in our day-to-day lives whether to buy a coffee or to check in to a hotel – and technology is making this possible. The talk provided a fascinating glimpse into the future of convergent technologies and the important role that contextualization is set to play in this.

Following this, Stuart Boardman from KPN Consulting led a session which looked in detail at the capability requirements of Open Platform 3.0. In what was a lively debate, contributors discussed the importance of smart data, semantic consistency, platform hierarchies and sustainability.

The final session of the morning in the Open Platform 3.0 track looked at the topic of open public sector data with Deirdre Lee, Principal at Derilinx and Chris Harding, Director for Interoperability at The Open Group. Discussing a topic that has risen up government agendas recently, Deirdre began by providing a thorough overview of the background to open data in the public sector and the supporting forces behind it. Deirdre provided detail on how various authorities across Europe had provided impetus to the Open Data movement, and what economic impact these initiatives had resulted in. Subsequently, Chris looked at how The Open Group can play a role in the emergence of open data as a subject area.

Following lunch, the tracks were split into two, with Jim Hietala, VP, Security & Healthcare, The Open Group, leading a workshop on the “Voice of the Security Customer”. This specifically looked at the impact of Security Automation on overall Enterprise Security, provoking much discussion among attendees. In the other session, the Open Platform 3.0 Forum focused on the topic of data integration with Ronald Schuldt, Senior Partner, UDEF and Dimitrios Kyritsis, Deputy Director, EPFL, leading a productive debate on the topic.

With The Open Group London 2014 coming to a close, we would like to thank all the speakers for providing such thoughtful content and the 300 attendees for making the event another great success. Also, many thanks go to our sponsors BiZZdesign, Corso, BOC Group, Good e-Learning, AEA and Scape, and media sponsors Van Haren and Computer Weekly,

See you at The Open Group San Diego 2015 February 2 – 5!

Join the conversation – #ogchat

Loren K. BaynesLoren K. Baynes, Director, Global Marketing Communications, joined The Open Group in 2013 and spearheads corporate marketing initiatives, primarily the website, blog and media relations. Loren has over 20 years experience in brand marketing and public relations and, prior to The Open Group, was with The Walt Disney Company for over 10 years. Loren holds a Bachelor of Business Administration from Texas A&M University. She is based in the US.

 

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IT Trends Empowering Your Business is Focus of The Open Group London 2014

By The Open Group

The Open Group, the vendor-neutral IT consortium, is hosting an event in London October 20th-23rd at the Central Hall, Westminster. The theme of this year’s event is on how new IT trends are empowering improvements in business and facilitating enterprise transformation.

Objectives of this year’s event:

  • Show the need for Boundaryless Information Flow™, which would result in more interoperable, real-time business processes throughout all business ecosystems
  • Examine the use of developing technology such as Big Data and advanced data analytics in the financial services sector: to minimize risk, provide more customer-centric products and identify new market opportunities
  • Provide a high-level view of the Healthcare ecosystem that identifies entities and stakeholders which must collaborate to enable the vision of Boundaryless Information Flow
  • Detail how the growth of “The Internet of Things” with online currencies and mobile-enabled transactions has changed the face of financial services, and poses new threats and opportunities
  • Outline some of the technological imperatives for Healthcare providers, with the use of The Open Group Open Platform 3.0™ tools to enable products and services to work together and deploy emerging technologies freely and in combination
  • Describe how to develop better interoperability and communication across organizational boundaries and pursue global standards for Enterprise Architecture for all industries

Key speakers at the event include:

  • Allen Brown, President & CEO, The Open Group
  • Magnus Lindkvist, Futurologist
  • Hans van Kesteren, VP & CIO Global Functions, Shell International, The Netherlands
  • Daniel Benton, Global Managing Director, IT Strategy, Accenture

Registration for The Open Group London 2014 is open and available to members and non-members. Please register here.

Join the conversation via Twitter – @theopengroup #ogLON

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The Open Group London 2014: Open Platform 3.0™ Panel Preview with Capgemini’s Ron Tolido

By The Open Group

The third wave of platform technologies is poised to revolutionize how companies do business not only for the next few years but for years to come. At The Open Group London event in October, Open Group CTO Dave Lounsbury will be hosting a panel discussion on how The Open Group Open Platform 3.0™ will affect Enterprise Architectures. Panel speakers include IBM Vice President and CTO of U.S. Federal IMT Andras Szakal and Capgemini Senior Vice President and CTO for Application Services Ron Tolido.

We spoke with Tolido in advance of the event about the progress companies are making in implementing third platform technologies, the challenges facing the industry as Open Platform 3.0 evolves and the call to action he envisions for The Open Group as these technologies take hold in the marketplace.

Below is a transcript of that conversation.

From my perspective, we have to realize: What is the call to action that we should have for ourselves? If we look at the mission of Boundaryless Information Flow™ and the need for open standards to accommodate that, what exactly can The Open Group and any general open standards do to facilitate this next wave in IT? I think it’s nothing less than a revolution. The first platform was the mainframe, the second platform was the PC and now the third platform is anything beyond the PC, so all sorts of different devices, sensors and ways to access information, to deploy solutions and to connect. What does it mean in terms of Boundaryless Information Flow and what is the role of open standards to make that platform succeed and help companies to thrive in such a new world?

That’s the type of call to action I’m envisioning. And I believe there are very few Forums or Work Groups within The Open Group that are not affected by this notion of the third platform. Firstly, I believe an important part of the Open Platform 3.0 Forum’s mission will be to analyze, to understand, the impacts of the third platform, of all those different areas that we’re evolving currently in The Open Group, and, if you like, orchestrate them a bit or be a catalyst in all the working groups and forums.

In a blog you wrote this summer for Capgemini’s CTO Blog you cited third platform technologies as being responsible for a renewed interest in IT as an enabler of business growth. What is it about the Third Platform is driving that interest?

It’s the same type of revolution as we’ve seen with the PC, which was the second platform. A lot of people in business units—through the PC and client/server technologies and Windows and all of these different things—realized that they could create solutions of a whole new order. The second platform meant many more applications, many more uses, much more business value to be achieved and less direct dependence on the central IT department. I think we’re seeing a very similar evolution right now, but the essence of the move is not that it moves us even further away from central IT but it puts the power of technology right in the business. It’s much easier to create solutions. Nowadays, there are many more channels that are so close in business that it takes business people to understand them. This explains also why business people like the third platform so much—it’s the Cloud, it’s mobile, social, it’s big data, all of these are waves that bring technology closer to the business, and are easy to use with very apparent business value that haven’t seen before, certainly not in the PC era. So we’re seeing a next wave, almost a revolution in terms of how easy it is to create solutions and how widely spread these solutions can be. Because again, as with the PC, it’s many more applications yet again and many more potential uses that can be connected through these applications, so that’s the very nature of the revolution and that also explains why business people like the third platform so much. So what people say to me these days on the business side is ‘We love IT, it’s just these bloody IT people that are the problem.’

Due to the complexities of building the next wave of platform computing, do you think that we may hit a point of fatigue as companies begin to tackle everything that is involved in creating that platform and making it work together?

The way I see it, that’s still the work of the IT community and the Enterprise Architect and the platform designer. It’s the very nature of the platform is that it’s attractive to use it, not to build it. The very nature of the platform is to connect to it and launch from it, but building the platform is an entirely different story. I think it requires platform designers and Enterprise Architects, if you like, and people to do the plumbing and do the architecting and the design underneath. But the real nature of the platform is to use it and to build upon it rather than to create it. So the happy view is that the “business people” don’t have to construct this.

I do believe, by the way, that many of the people in The Open Group will be on the side of the builders. They’re supposed to like complexity and like reducing it, so if we do it right the users of the platform will not notice this effort. It’s the same with the Cloud—the problem with the Cloud nowadays is that many people are tempted to run their own clouds, their own technologies, and before they know it, they only have additional complexity on their agenda, rather than reduced, because of the Cloud. It’s the same with the third platform—it’s a foundation which is almost a no-brainer to do business upon, for the next generation of business models. But if we do it wrong, we only have additional complexity on our hands, and we give IT a bad name yet again. We don’t want to do that.

What are Capgemini customers struggling with the most in terms of adopting these new technologies and putting together an Open Platform 3.0?

What you currently see—and it’s not always good to look at history—but if you look at the emergence of the second platform, the PC, of course there were years in which central IT said ‘nobody needs a PC, we can do it all on the mainframe,’ and they just didn’t believe it and business people just started to do it themselves. And for years, we created a mess as a result of it, and we’re still picking up some of the pieces of that situation. The question for IT people, in particular, is to understand how to find this new rhythm, how to adopt the dynamics of this third platform while dealing with all the complexity of the legacy platform that’s already there. I think if we are able to accelerate creating such a platform—and I think The Open Group will be very critical there—what exactly should be in the third platform, what type of services should you be developing, how would these services interact, could we create some set of open standards that the industry could align to so that we don’t have to do too much work in integrating all that stuff. If we, as The Open Group, can create that industry momentum, that, at least, would narrow the gap between business and IT that we currently see. Right now IT’s very clearly not able to deliver on the promise because they have their hands full with surviving the existing IT landscape, so unless they do something about simplifying it on the one hand and bridging that old world with the new one, they might still be very unpopular in the forthcoming years. That’s not what you want as an IT person—you want to enable business and new business. But I don’t think we’ve been very effective with that for the past ten years as an industry in general, so that’s a big thing that we have to deal with, bridging the old world with the new world. But anything we can do to accelerate and simplify that job from The Open Group would be great, and I think that’s the very essence of where our actions would be.

What are some of the things that The Open Group, in particular, can do to help affect these changes?

To me it’s still in the evangelization phase. Sooner or later people have to buy it and say ‘We get it, we want it, give me access to the third platform.’ Then the question will be how to accelerate building such an actual platform. So the big question is: What does such a platform look like? What types of services would you find on such a platform? For example, mobility services, data services, integration services, management services, development services, all of that. What would that look like in a typical Platform 3.0? Maybe even define a catalog of services that you would find in the platform. Then, of course, if you could use such a catalog or shopping list, if you like, to reach out to the technology suppliers of this world and convince them to pick that up and gear around these definitions—that would facilitate such a platform. Also maybe the architectural roadmap—so what would an architecture look like and what would be the typical five ways of getting there? We have to start with your local situation, so probably also several design cases would be helpful, so there’s an architectural dimension here.

Also, in terms of competencies, what type of competencies will we need in the near future to be able to supply these types of services to the business? That’s, again, very new—in this case, IT Specialist Certification and Architect Certification. These groups also need to think about what are the new competencies inherent in the third platform and how does it affect things like certification criteria and competency profiles?

In other areas, if you look at TOGAF®, and Open Group standard, is it really still suitable in fast paced world of the third platform or do we need a third platform version of TOGAF? With Security, for example, there are so many users, so many connections, and the activities of the former Jericho Forum seem like child’s play compared to what you will see around the third platform, so there’s no Forum or Work Group that’s not affected by this Open Platform 3.0 emerging.

With Open Platform 3.0 touching pretty much every aspect of technology and The Open Group, how do you tackle that? Do you have just an umbrella group for everything or look at it through the lens of TOGAF or security or the IT Specialist? How do you attack something so large?

It’s exactly what you just said. It’s fundamentally my belief that we need to do both of these two things. First, we need a catalyst forum, which I would argue is the Open Platform 3.0 Forum, which would be the catalyst platform, the orchestration platform if you like, that would do the overall definitions, the call to action. They’ve already been doing the business scenarios—they set the scene. Then it would be up to this Forum to reach out to all the other Forums and Work Groups to discuss impact and make sure it stays aligned, so here we have an orchestration function of the Open Platform 3.0 Forum. Then, very obviously, all the other Work Groups and Forums need to pick it up and do their own stuff because you cannot aspire to do all of this with one and the same forum because it’s so wide, it’s so diverse. You need to do both.

The Open Platform 3.0 Forum has been working for a year and a half now. What are some of the things the Forum has accomplished thus far?

They’ve been particularly working on some of the key definitions and some of the business scenarios. I would say in order to create an awareness of Open Platform 3.0 in terms of the business value and the definitions, they’ve done a very good job. Next, there needs to be a call to action to get everybody mobilized and setting tangible steps toward the Platform 3.0. I think that’s currently where we are, so that’s good timing, I believe, in terms of what the forum has achieved so far.

Returning to the mission of The Open Group, given all of the awareness we have created, what does it all mean in terms of Boundaryless Information Flow and how does it affect the Forums and Work Groups in The Open Group? That’s what we need to do now.

What are some of the biggest challenges that you see facing adoption of Open Platform 3.0 and standards for that platform?

They are relatively immature technologies. For example, with the Cloud you see a lot of players, a lot of technology providers being quite reluctant to standardize. Some of them are very open about it and are like ‘Right now we are in a niche, and we’re having a lot of fun ourselves, so why open it up right now?’ The movement would be more pressure from the business side saying ‘We want to use your technology but only if you align with some of these emerging standards.’ That would do it or certainly help. This, of course, is what makes The Open Group as powerful as not only technology providers, but also businesses, the enterprises involved and end users of technology. If they work together and created something to mobilize technology providers, that would certainly be a breakthrough, but these are immature technologies and, as I said, with some of these technology providers, it seems more important to them to be a niche player for now and create their own market rather than standardizing on something that their competitors could be on as well.

So this is a sign of a relatively immature industry because every industry that starts to mature around certain topics begins to work around open standards. The more mature we grow in mastering the understanding of the Open Platform 3.0, the more you will see the need for standards arise. It’s all a matter of timing so it’s not so strange that in the past year and a half it’s been very difficult to even discuss standards in this area. But I think we’re entering that era really soon, so it seems to be good timing to discuss it. That’s one important limiting area; I think the providers are not necessarily waiting for it or committed to it.

Secondly, of course, this is a whole next generation of technologies. With all new generations of technologies there are always generation gaps and people in denial or who just don’t feel up to picking it up again or maybe they lack the energy to pick up a new wave of technology and they’re like ‘Why can’t I stay in what I’ve mastered?’ All very understandable. I would call that a very typical IT generation gap that occurs when we see the next generation of IT emerge—sooner or later you get a generation gap, as well. Which has nothing to do with physical age, by the way.

With all these technologies converging so quickly, that gap is going to have to close quickly this time around isn’t it?

Well, there are still mainframes around, so you could argue that there will be two or even three speeds of IT sooner or later. A very stable, robust and predictable legacy environment could even be the first platform that’s more mainframe-oriented, like you see today. A second wave would be that PC workstation, client/server, Internet-based IT landscape, and it has a certain base and certain dynamics. Then you have this third phase, which is the new platform, that is more dynamic and volatile and much more diverse. You could argue that there might be within an organization multiple speeds of IT, multiple speeds of architectures, multi-speed solutioning, and why not choose your own speed?

It probably takes a decade or more to really move forward for many enterprises.

It’s not going as quickly as the Gartners of this world typically thinks it is—in practice we all know it takes longer. So I don’t see any reason why certain people wouldn’t certainly choose deliberately to stay in second gear and don’t go to third gear simply because they think it’s challenging to be there, which is perfectly sound to me and it would bring a lot of work in many years to companies.

That’s an interesting concept because start-ups can easily begin on a new platform but if you’re a company that has been around for a long time and you have existing legacy systems from the mainframe or PC era, those are things that you have to maintain. How do you tackle that as well?

That’s a given in big enterprises. Not everybody can be a disruptive start up. Maybe we all think that we should be like that but it’s not the case in real life. In real life, we have to deal with enterprise systems and enterprise processes and all of them might be very vulnerable to this new wave of challenges. Certainly enterprises can be disruptive themselves if they do it right, but there are always different dynamics, and, as I said, we still have mainframes, as well, even though we declared their ending quite some time ago. The same will happen, of course, to PC-based IT landscapes. It will take a very long time and will take very skilled hands and minds to keep it going and to simplify.

Having said that, you could argue that some new players in the market obviously have the advantage of not having to deal with that and could possibly benefit from a first-mover advantage where existing enterprises have to juggle several balls at the same time. Maybe that’s more difficult, but of course enterprises are enterprises for a good reason—they are big and holistic and mighty, and they might be able to do things that start-ups simply can’t do. But it’s a very unpredictable world, as we all realize, and the third platform brings a lot of disruptiveness.

What’s your perspective on how the Internet of Things will affect all of this?

It’s part of the third platform of course, and it’s something Andras Szakal will be addressing as well. There’s much more coming, both at the input sites, everything is becoming a sensor essentially to where even your wallpaper or paint is a sensor, but on the other hand, in terms of devices that we use to communicate or get information—smart things that whisper in your ears or whatever we’ll have in the coming years—is clearly part of this Platform 3.0 wave that we’ll have as we move away from the PC and the workstation, and there’s a whole bunch of new technologies around to replace it. The Internet of Things is clearly part of it, and we’ll need open standards as well because there are so many different things and devices, and if you don’t create the right standards and platform services to deal with it, it will be a mess. It’s an integral part of the Platform 3.0 wave that we’re seeing.

What is the Open Platform 3.0 Forum going to be working on over the next few months?

Understanding what this Open Platform 3.0 actually means—I think the work we’ve seen so far in the Forum really sets the way in terms of what is it and definitions are growing. Andras will be adding his notion of the Internet of Things and looking at definitions of what is it exactly. Many people already intuitively have an image of it.

The second will be how we deliver value to the business—so the business scenarios are a crucial thing to consider to see how applicable they are, how relevant they are to enterprises. The next thing to do will pertain to work that still needs to be done in The Open Group, as well. What would a new Open Platform 3.0 architecture look like? What are the platform services? What are the ones we can start working on right now? What are the most important business scenarios and what are the platform services that they will require? So architectural impacts, skills impacts, security impacts—as I said, there are very few areas in IT that are not touched by it. Even the new IT4IT Forum that will be launched in October, which is all about methodologies and lifecycle, will need to consider Agile, DevOps-related methodologies because that’s the rhythm and the pace that we’ve got to expect in this third platform. So the rhythm of the working group—definitions, business scenarios and then you start to thinking about what does the platform consist of, what type of services do I need to create to support it and hopefully by then we’ll have some open standards to help accelerate that thinking to help enterprises set a course for themselves. That’s our mission as The Open Group to help facilitate that.

Tolido-RonRon Tolido is Senior Vice President and Chief Technology Officer of Application Services Continental Europe, Capgemini. He is also a Director on the board of The Open Group and blogger for Capgemini’s multiple award-winning CTO blog, as well as the lead author of Capgemini’s TechnoVision and the global Application Landscape Reports. As a noted Digital Transformation ambassador, Tolido speaks and writes about IT strategy, innovation, applications and architecture. Based in the Netherlands, Mr. Tolido currently takes interest in apps rationalization, Cloud, enterprise mobility, the power of open, Slow Tech, process technologies, the Internet of Things, Design Thinking and – above all – radical simplification.

 

 

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The Open Group Panel: Internet of Things – Opportunities and Obstacles

Below is the transcript of The Open Group podcast exploring the challenges and ramifications of the Internet of Things, as machines and sensors collect vast amounts of data.

Listen to the podcast.

Dana Gardner: Hello, and welcome to a special BriefingsDirect thought leadership interview series coming to you in conjunction with recent The Open Group Boston 2014 on July 21 in Boston.

Dana Gardner I’m Dana Gardner, principal analyst at Interarbor Solutions, and I’ll be your host and moderator throughout these discussions on Open Platform 3.0 and Boundaryless Information Flow.

We’re going to now specifically delve into the Internet of Things with a panel of experts. The conference has examined how Open Platform 3.0™ leverages the combined impacts of cloud, big data, mobile, and social. But to each of these now we can add a new cresting wave of complexity and scale as we consider the rapid explosion of new devices, sensors, and myriad endpoints that will be connected using internet protocols, standards and architectural frameworks.

This means more data, more cloud connectivity and management, and an additional tier of “things” that are going to be part of the mobile edge — and extending that mobile edge ever deeper into even our own bodies.

When we think about inputs to these social networks — that’s going to increase as well. Not only will people be tweeting, your device could be very well tweet, too — using social networks to communicate. Perhaps your toaster will soon be sending you a tweet about your English muffins being ready each morning.

The Internet of Things is more than the “things” – it means a higher order of software platforms. For example, if we are going to operate data centers with new dexterity thanks to software-definited networking (SDN) and storage (SDS) — indeed the entire data center being software-defined (SDDC) — then why not a software-defined automobile, or factory floor, or hospital operating room — or even a software-defined city block or neighborhood?

And so how does this all actually work? Does it easily spin out of control? Or does it remain under proper management and governance? Do we have unknown unknowns about what to expect with this new level of complexity, scale, and volume of input devices?

Will architectures arise that support the numbers involved, interoperability, and provide governance for the Internet of Things — rather than just letting each type of device do its own thing?

To help answer some of these questions, The Open Group assembled a distinguished panel to explore the practical implications and limits of the Internet of Things. So please join me in welcoming Said Tabet, Chief Technology Officer for Governance, Risk and Compliance Strategy at EMC, and a primary representative to the Industrial Internet Consortium; Penelope Gordon, Emerging Technology Strategist at 1Plug Corporation; Jean-Francois Barsoum, Senior Managing Consultant for Smarter Cities, Water and Transportation at IBM, and Dave Lounsbury, Chief Technical Officer at The Open Group.

Jean-Francois, we have heard about this notion of “cities as platforms,” and I think the public sector might offer us some opportunity to look at what is going to happen with the Internet of Things, and then extrapolate from that to understand what might happen in the private sector.

Hypothetically, the public sector has a lot to gain. It doesn’t have to go through the same confines of a commercial market development, profit motive, and that sort of thing. Tell us a little bit about what the opportunity is in the public sector for smart cities.

Barsoum_Jean-FrancoisJean-Francois Barsoum: It’s immense. The first thing I want to do is link to something that Marshall Van Alstyne (Professor at Boston University and Researcher at MIT) had talked about, because I was thinking about his way of approaching platforms and thinking about how cities represent an example of that.

You don’t have customers; you have citizens. Cities are starting to see themselves as platforms, as ways to communicate with their customers, their citizens, to get information from them and to communicate back to them. But the complexity with cities is that as a good a platform as they could be, they’re relatively rigid. They’re legislated into existence and what they’re responsible for is written into law. It’s not really a market.

Chris Harding (Forum Director of The Open Group Open Platform 3.0) earlier mentioned, for example, water and traffic management. Cities could benefit greatly by managing traffic a lot better.

Part of the issue is that you might have a state or provincial government that looks after highways. You might have the central part of the city that looks after arterial networks. You might have a borough that would look after residential streets, and these different platforms end up not talking to each other.

They gather their own data. They put in their own widgets to collect information that concerns them, but do not necessarily share with their neighbor. One of the conditions that Marshall said would favor the emergence of a platform had to do with how much overlap there would be in your constituents and your customers. In this case, there’s perfect overlap. It’s the same citizen, but they have to carry an Android and an iPhone, despite the fact it is not the best way of dealing with the situation.

The complexities are proportional to the amount of benefit you could get if you could solve them.

Gardner: So more interoperability issues?

Barsoum: Yes.

More hurdles

Gardner: More hurdles, and when you say commensurate, you’re saying that the opportunity is huge, but the hurdles are huge and we’re not quite sure how this is going to unfold.

Barsoum: That’s right.

Gardner: Let’s go to an area where the opportunity outstrips the challenge, manufacturing. Said, what is the opportunity for the software-defined factory floor for recognizing huge efficiencies and applying algorithmic benefits to how management occurs across domains of supply-chain, distribution, and logistics. It seems to me that this is a no-brainer. It’s such an opportunity that the solution must be found.

Tabet_SaidSaid Tabet: When it comes to manufacturing, the opportunities are probably much bigger. It’s where we can see a lot of progress that has already been done and still work is going on. There are two ways to look at it.

One is the internal side of it, where you have improvements of business processes. For example, similar to what Jean-Francois said, in a lot of the larger companies that have factories all around the world, you’ll see such improvements on a factory base level. You still have those silos at that level.

Now with this new technology, with this connectedness, those improvements are going to be made across factories, and there’s a learning aspect to it in terms of trying to manage that data. In fact, they do a better job. We still have to deal with interoperability, of course, and additional issues that could be jurisdictional, etc.

However, there is that learning that allows them to improve their processes across factories. Maintenance is one of them, as well as creating new products, and connecting better with their customers. We can see a lot of examples in the marketplace. I won’t mention names, but there are lots of them out there with the large manufacturers.

Gardner: We’ve had just-in-time manufacturing and lean processes for quite some time, trying to compress the supply chain and distribution networks, but these haven’t necessarily been done through public networks, the internet, or standardized approaches.

But if we’re to benefit, we’re going to need to be able to be platform companies, not just product companies. How do you go from being a proprietary set of manufacturing protocols and approaches to this wider, standardized interoperability architecture?

Tabet: That’s a very good question, because now we’re talking about that connection to the customer. With the airline and the jet engine manufacturer, for example, when the plane lands and there has been some monitoring of the activity during the whole flight, at that moment, they’ll get that data made available. There could be improvements and maybe solutions available as soon as the plane lands.

Interoperability

That requires interoperability. It requires Platform 3.0 for example. If you don’t have open platforms, then you’ll deal with the same hurdles in terms of proprietary technologies and integration in a silo-based manner.

Gardner: Penelope, you’ve been writing about the obstacles to decision-making that might become apparent as big data becomes more prolific and people try to capture all the data about all the processes and analyze it. That’s a little bit of a departure from the way we’ve made decisions in organizations, public and private, in the past.

Of course, one of the bigger tenets of Internet of Things is all this great data that will be available to us from so many different points. Is there a conundrum of some sort? Is there an unknown obstacle for how we, as organizations and individuals, can deal with that data? Is this going to be chaos, or is this going to be all the promises many organizations have led us to believe around big data in the Internet of Things?

Gordon_PenelopePenelope Gordon: It’s something that has just been accelerated. This is not a new problem in terms of the decision-making styles not matching the inputs that are being provided into the decision-making process.

Former US President Bill Clinton was known for delaying making decisions. He’s a head-type decision-maker and so he would always want more data and more data. That just gets into a never-ending loop, because as people collect data for him, there is always more data that you can collect, particularly on the quantitative side. Whereas, if it is distilled down and presented very succinctly and then balanced with the qualitative, that allows intuition to come to fore, and you can make optimal decisions in that fashion.

Conversely, if you have someone who is a heart-type or gut-type decision-maker and you present them with a lot of data, their first response is to ignore the data. It’s just too much for them to take in. Then you end up completely going with whatever you feel is correct or whatever you have that instinct that it’s the correct decision. If you’re talking about strategic decisions, where you’re making a decision that’s going to influence your direction five years down the road, that could be a very wrong decision to make, a very expensive decision, and as you said, it could be chaos.

It just brings to mind to me Dr. Suess’s The Cat in the Hat with Thing One and Thing Two. So, as we talk about the Internet of Things, we need to keep in mind that we need to have some sort of structure that we are tying this back to and understanding what are we trying to do with these things.

Gardner: Openness is important, and governance is essential. Then, we can start moving toward higher-order business platform benefits. But, so far, our panel has been a little bit cynical. We’ve heard that the opportunity and the challenges are commensurate in the public sector and that in manufacturing we’re moving into a whole new area of interoperability, when we think about reaching out to customers and having a boundary that is managed between internal processes and external communications.

And we’ve heard that an overload of data could become a very serious problem and that we might not get benefits from big data through the Internet of Things, but perhaps even stumble and have less quality of decisions.

So Dave Lounsbury of The Open Group, will the same level of standardization work? Do we need a new type of standards approach, a different type of framework, or is this a natural path and course what we have done in the past?

Different level

Lounsbury_DaveDave Lounsbury: We need to look at the problem at a different level than we institutionally think about an interoperability problem. Internet of Things is riding two very powerful waves, one of which is Moore’s Law, that these sensors, actuators, and network get smaller and smaller. Now we can put Ethernet in a light switch right, a tag, or something like that.

Also, Metcalfe’s Law that says that the value of all this connectivity goes up with the square of the number of connected points, and that applies to both the connection of the things but more importantly the connection of the data.

The trouble is, as we have said, that there’s so much data here. The question is how do you manage it and how do you keep control over it so that you actually get business value from it. That’s going to require us to have this new concept of a platform to not only to aggregate, but to just connect the data, aggregate it, correlate it as you said, and present it in ways that people can make decisions however they want.

Also, because of the raw volume, we have to start thinking about machine agency. We have to think about the system actually making the routine decisions or giving advice to the humans who are actually doing it. Those are important parts of the solution beyond just a simple “How do we connect all the stuff together?”

Gardner: We might need a higher order of intelligence, now that we have reached this border of what we can do with our conventional approaches to data, information, and process.

Thinking about where this works best first in order to then understand where it might end up later, I was intrigued again this morning by Professor Van Alstyne. He mentioned that in healthcare, we should expect major battles, that there is a turf element to this, that the organization, entity or even commercial corporation that controls and manages certain types of information and access to that information might have some very serious platform benefits.

The openness element now is something to look at, and I’ll come back to the public sector. Is there a degree of openness that we could legislate or regulate to require enough control to prevent the next generation of lock-in, which might not be to a platform to access to data information and endpoints? Where is it in the public sector that we might look to a leadership position to establish needed openness and not just interoperability.

Barsoum: I’m not even sure where to start answering that question. To take healthcare as an example, I certainly didn’t write the bible on healthcare IT systems and if someone did write that, I think they really need to publish it quickly.

We have a single-payer system in Canada, and you would think that would be relatively easy to manage. There is one entity that manages paying the doctors, and everybody gets covered the same way. Therefore, the data should be easily shared among all the players and it should be easy for you to go from your doctor, to your oncologist, to whomever, and maybe to your pharmacy, so that everybody has access to this same information.

We don’t have that and we’re nowhere near having that. If I look to other areas in the public sector, areas where we’re beginning to solve the problem are ones where we face a crisis, and so we need to address that crisis rapidly.

Possibility of improvement

In the transportation infrastructure, we’re getting to that point where the infrastructure we have just doesn’t meet the needs. There’s a constraint in terms of money, and we can’t put much more money into the structure. Then, there are new technologies that are coming in. Chris had talked about driverless cars earlier. They’re essentially throwing a wrench into the works or may be offering the possibility of improvement.

On any given piece of infrastructure, you could fit twice as many driverless cars as cars with human drivers in them. Given that set of circumstances, the governments are going to find they have no choice but to share data in order to be able to manage those. Are there cases where we could go ahead of a crisis in order to manage it? I certainly hope so.

Gardner: How about allowing some of the natural forces of marketplaces, behavior, groups, maybe even chaos theory, where if sufficient openness is maintained there will be some kind of a pattern that will emerge? We need to let this go through its paces, but if we have artificial barriers, that might be thwarted or power could go to places that we would regret later.

Barsoum: I agree. People often focus on structure. So the governance doesn’t work. We should find some way to change the governance of transportation. London has done a very good job of that. They’ve created something called Transport for London that manages everything related to transportation. It doesn’t matter if it’s taxis, bicycles, pedestrians, boats, cargo trains, or whatever, they manage it.

You could do that, but it requires a lot of political effort. The other way to go about doing it is saying, “I’m not going to mess with the structures. I’m just going to require you to open and share all your data.” So, you’re creating a new environment where the governance, the structures, don’t really matter so much anymore. Everybody shares the same data.

Gardner: Said, to the private sector example of manufacturing, you still want to have a global fabric of manufacturing capabilities. This is requiring many partners to work in concert, but with a vast new amount of data and new potential for efficiency.

How do you expect that openness will emerge in the manufacturing sector? How will interoperability play when you don’t have to wait for legislation, but you do need to have cooperation and openness nonetheless?

Tabet: It comes back to the question you asked Dave about standards. I’ll just give you some examples. For example, in the automotive industry, there have been some activities in Europe around specific standards for communication.

The Europeans came to the US and started to have discussions, and the Japanese have interest, as well as the Chinese. That shows, because there is a common interest in creating these new models from a business standpoint, that these challenges they have to be dealt with together.

Managing complexity

When we talk about the amounts of data, what we call now big data, and what we are going to see in about five years or so, you can’t even imagine. How do we manage that complexity, which is multidimensional? We talked about this sort of platform and then further, that capability and the data that will be there. From that point of view, openness is the only way to go.

There’s no way that we can stay away from it and still be able to work in silos in that new environment. There are lots of things that we take for granted today. I invite some of you to go back and read articles from 10 years ago that try to predict the future in technology in the 21st century. Look at your smart phones. Adoption is there, because the business models are there, and we can see that progress moving forward.

Collaboration is a must, because it is a multidimensional level. It’s not just manufacturing like jet engines, car manufacturers, or agriculture, where you have very specific areas. They really they have to work with their customers and the customers of their customers.

Adoption is there, because the business models are there, and we can see that progress moving forward.

Gardner: Dave, I have a question for both you and Penelope. I’ve seen some instances where there has been a cooperative endeavor for accessing data, but then making it available as a service, whether it’s an API, a data set, access to a data library, or even analytics applications set. The Ocean Observatories Initiative is one example, where it has created a sensor network across the oceans and have created data that then they make available.

Do you think we expect to see an intermediary organization level that gets between the sensors and the consumers or even controllers of the processes? Is there’s a model inherent in that that we might look to — something like that cooperative data structure that in some ways creates structure and governance, but also allows for freedom? It’s sort of an entity that we don’t have yet in many organizations or many ecosystems and that needs to evolve.

Lounsbury: We’re already seeing that in the marketplace. If you look at the commercial and social Internet of Things area, we’re starting to see intermediaries or brokers cropping up that will connect the silo of my android ecosystem to the ecosystem of package tracking or something like that. There are dozens and dozens of these cropping up.

In fact, you now see APIs even into a silo of what you might consider a proprietary system and what people are doing is to to build a layer on top of those APIs that intermediate the data.

This is happening on a point-to-point basis now, but you can easily see the path forward. That’s going to expand to large amounts of data that people will share through a third party. I can see this being a whole new emerging market much as what Google did for search. You could see that happening for the Internet of Things.

Gardner: Penelope, do you have any thoughts about how that would work? Is there a mutually assured benefit that would allow people to want to participate and cooperate with that third entity? Should they have governance and rules about good practices, best practices for that intermediary organization? Any thoughts about how data can be managed in this sort of hierarchical model?

Nothing new

Gordon: First, I’ll contradict it a little bit. To me, a lot of this is nothing new, particularly coming from a marketing strategy perspective, with business intelligence (BI). Having various types of intermediaries, who are not only collecting the data, but then doing what we call data hygiene, synthesis, and even correlation of the data has been around for a long time.

It was an interesting, when I looked at recent listing of the big-data companies, that some notable companies were excluded from that list — companies like Nielsen. Nielsen’s been collecting data for a long time. Harte-Hanks is another one that collects a tremendous amount of information and sells that to companies.

That leads into the another part of it that I think there’s going to be. We’re seeing an increasing amount of opportunity that involves taking public sources of data and then providing synthesis on it. What remains to be seen is how much of the output of that is going to be provided for “free”, as opposed to “fee”. We’re going to see a lot more companies figuring out creative ways of extracting more value out of data and then charging directly for that, rather than using that as an indirect way of generating traffic.

Gardner: We’ve seen examples of how this has been in place. Does it scale and does the governance or lack of governance that might be in the market now sustain us through the transition into Platform 3.0 and the Internet of Things.

Gordon: That aspect is the lead-on part of “you get what you pay for”. If you’re using a free source of data, you don’t have any guarantee that it is from authoritative sources of data. Often, what we’re getting now is something somebody put it in a blog post, and then that will get referenced elsewhere, but there was nothing to go back to. It’s the shaky supply chain for data.

You need to think about the data supply and that is where the governance comes in. Having standards is going to increasingly become important, unless we really address a lot of the data illiteracy that we have. A lot of people do not understand how to analyze data.

One aspect of that is a lot of people expect that we have to do full population surveys, as opposed representative sampling to get much more accurate and much more cost-effective collection of data. That’s just one example, and we do need a lot more in governance and standards.

Gardner: What would you like to see changed most in order for the benefits and rewards of the Internet of Things to develop and overcome the drawbacks, the risks, the downside? What, in your opinion, would you like to see happen to make this a positive, rapid outcome? Let’s start with you Jean-Francois.

Barsoum: There are things that I have seen cities start to do now. There are couple of examples: Philadelphia is one and Barcelona does this too. Rather than do the typical request for proposal (RFP), where they say, “This is the kind of solution we’re looking for, and here are our parameters. Can l you tell us how much it is going to cost to build,” they come to you with the problem and they say, “Here is the problem I want to fix. Here are my priorities, and you’re at liberty to decide how best to fix the problem, but tell us how much that would cost.”

If you do that and you combine it with access to the public data that is available — if public sector opens up its data — you end up with a very powerful combination that liberates a lot of creativity. You can create a lot of new business models. We need to see much more of that. That’s where I would start.

More education

Tabet: I agree with Jean-Francois on that. What I’d like to add is that I think we need to push the relation a little further. We need more education, to your point earlier, around the data and the capabilities.

We need these platforms that we can leverage a little bit further with the analytics, with machine learning, and with all of these capabilities that are out there. We have to also remember, when we talk about the Internet of Things, it is things talking to each other.

So it is not human-machine communication. Machine-to-machine automation will be further than that, and we need more innovation and more work in this area, particularly more activity from the governments. We’ve seen that, but it is a little bit frail from that point of view right now.

Gardner: Dave Lounsbury, thoughts about what need to happen in order to keep this on the tracks?

Lounsbury: We’ve touched on lot of them already. Thank you for mentioning the machine-to-machine part, because there are plenty of projections that show that it’s going to be the dominant form of Internet communication, probably within the next four years.

So we need to start thinking of that and moving beyond our traditional models of humans talking through interfaces to set of services. We need to identify the building blocks of capability that you need to manage, not only the information flow and the skilled person that is going to produce it, but also how you manage the machine-to-machine interactions.

Gordon: I’d like to see not so much focus on data management, but focus on what is the data managing and helping us to do. Focusing on the machine-to-machine and the devices is great, but it should be not on the devices or on the machines… it should be on what can they accomplish by communicating; what can you accomplish with the devices and then have a reverse engineer from that.

Gardner: Let’s go to some questions from the audience. The first one asks about a high order of intelligence which we mentioned earlier. It could be artificial intelligence, perhaps, but they ask whether that’s really the issue. Is the nature of the data substantially different, or we are just creating more of the same, so that it is a storage, plumbing, and processing problem? What, if anything, are we lacking in our current analytics capabilities that are holding us back from exploiting the Internet of Things?

Gordon: I’ve definitely seen that. That has a lot to do with not setting your decision objectives and your decision criteria ahead of time so that you end up collecting a whole bunch of data, and the important data gets lost in the mix. There is a term “data smog.”

Most important

The solution is to figure out, before you go collecting data, what data is most important to you. If you can’t collect certain kinds of data that are important to you directly, then think about how to indirectly collect that data and how to get proxies. But don’t try to go and collect all the data for that. Narrow in on what is going to be most important and most representative of what you’re trying to accomplish.

Gardner: Does anyone want to add to this idea of understanding what current analytics capabilities are lacking, if we have to adopt and absorb the Internet of Things?

Barsoum: There is one element around projection into the future. We’ve been very good at analyzing historical information to understand what’s been happening in the past. We need to become better at projecting into the future, and obviously we’ve been doing that for some time already.

But so many variables are changing. Just to take the driverless car as an example. We’ve been collecting data from loop detectors, radar detectors, and even Bluetooth antennas to understand how traffic moves in the city. But we need to think harder about what that means and how we understand the city of tomorrow is going to work. That requires more thinking about the data, a little bit like what Penelope mentioned, how we interpret that, and how we push that out into the future.

Lounsbury: I have to agree with both. It’s not about statistics. We can use historical data. It helps with lot of things, but one of the major issues we still deal with today is the question of semantics, the meaning of the data. This goes back to your point, Penelope, around the relevance and the context of that information – how you get what you need when you need it, so you can make the right decisions.

Gardner: Our last question from the audience goes back to Jean-Francois’s comments about the Canadian healthcare system. I imagine it applies to almost any healthcare system around the world. But it asks why interoperability is so difficult to achieve, when we have the power of the purse, that is the market. We also supposedly have the power of the legislation and regulation. You would think between one or the other or both that interoperability, because the stakes are so high, would happen. What’s holding it up?

Barsoum: There are a couple of reasons. One, in the particular case of healthcare, is privacy, but that is one that you could see going elsewhere. As soon as you talk about interoperability in the health sector, people start wondering where is their data going to go and how accessible is it going to be and to whom.

You need to put a certain number of controls over top of that. What is happening in parallel is that you have people who own some data, who believe they have some power from owning that data, and that they will lose that power if they share it. That can come from doctors, hospitals, anywhere.

So there’s a certain amount of change management you have to get beyond. Everybody has to focus on the welfare of the patient. They have to understand that there has to be a priority, but you also have to understand the welfare of the different stakeholders in the system and make sure that you do not forget about them, because if you forget about them they will find some way to slow you down.

Use of an ecosystem

Lounsbury: To me, that’s a perfect example of what Marshall Van Alstyne talked about this morning. It’s the change from focus on product to a focus on an ecosystem. Healthcare traditionally has been very focused on a doctor providing product to patient, or a caregiver providing a product to a patient. Now, we’re actually starting to see that the only way we’re able to do this is through use of an ecosystem.

That’s a hard transition. It’s a business-model transition. I will put in a plug here for The Open Group Healthcare vertical, which is looking at that from architecture perspective. I see that our Forum Director Jason Lee is over here. So if you want to explore that more, please see him.

Gardner: I’m afraid we will have to leave it there. We’ve been discussing the practical implications of the Internet of Things and how it is now set to add a new dimension to Open Platform 3.0 and Boundaryless Information Flow.

We’ve heard how new thinking about interoperability will be needed to extract the value and orchestrate out the chaos with such vast new scales of inputs and a whole new categories of information.

So with that, a big thank you to our guests: Said Tabet, Chief Technology Officer for Governance, Risk and Compliance Strategy at EMC; Penelope Gordon, Emerging Technology Strategist at 1Plug Corp.; Jean-Francois Barsoum, Senior Managing Consultant for Smarter Cities, Water and Transportation at IBM, and Dave Lounsbury, Chief Technology Officer at The Open Group.

This is Dana Gardner, Principal Analyst at Interarbor Solutions, your host and moderator throughout these discussions on Open Platform 3.0 and Boundaryless Information Flow at The Open Group Conference, recently held in Boston. Thanks again for listening, and come back next time.

Listen to the podcast. Find it on iTunes. Download the transcript.

Transcript of The Open Group podcast exploring the challenges and ramifications of the Internet of Things, as machines and sensors collect vast amounts of data. Copyright The Open Group and Interarbor Solutions, LLC, 2005-2014. All rights reserved.

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Filed under Uncategorized, Enterprise Architecture, Cloud/SOA, Supply chain risk, Information security, Standards, Service Oriented Architecture, Cloud, Business Architecture, Data management, Open Platform 3.0, Future Technologies, Boundaryless Information Flow™, digital technologies, Strategy, Interoperability, Internet of Things

The Internet of Things is the New Media

By Dave Lounsbury, Chief Technical Officer, The Open Group

A tip of the hat to @artbourbon for pointing out the article “Principles for Open Innovation and Open Leadingship” by Peter Vander Auwera, which led to a TED Talk by Joi Ito with his “Nine Principles of the Media Lab”. Something in this presentation struck me:

“Media is plural for Medium, Medium is something in which you can express yourself. The medium was hardware, screens, robots, etc. Now the medium is society, ecosystem, journalism,… Our work looks more like social science.”

Great changes in society often go hand-in-hand with advances in communications, which in turn are tied to improvements in scale or portability of media. Think the printing press, television or even the development of paint in tubes which allowed impressionist painters to get out of the studios to paint water lilies and wheat fields.

295px-Vincent_Van_Gogh_0020

We are seeing a similar advance in the next generation of the Internet. Traditionally, humans interact with computer systems and networks through visual media, like screens of varying sizes and printed material. However, this is changing: Sensors and actuators are shrinking in size and price, and there has been an explosion of devices, new services and applications that network these together into larger systems  to increase their value through Metcalfe’s law. We interact with the actions of these sensors not just with our eyes, but other senses as well – a simple example is the feeling of warmth as your house adjusts its temperature as you arrive home.

These devices, and the platforms that orchestrate their interactions, are the media in which the next generation of the internet will be painted. We call it the Internet of Things today, or maybe the Internet of Everything – but in long run, it will become just be the Internet. The expression of connectivity through sensors and devices will soon become as commonplace as social media is today.

Join the conversation! @theopengroup #ogchat

lounsburyDavid is Chief Technical Officer (CTO) and Vice President, Services for The Open Group. As CTO, he ensures that The Open Group’s people and IT resources are effectively used to implement the organization’s strategy and mission.  As VP of Services, David leads the delivery of The Open Group’s proven collaboration processes for collaboration and certification both within the organization and in support of third-party consortia.

David holds a degree in Electrical Engineering from Worcester Polytechnic Institute, and is holder of three U.S. patents.

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Filed under digital technologies, Future Technologies, Internet of Things, Open Platform 3.0, Uncategorized

The Digital Ecosystem Paradox – Learning to Move to Better Digital Design Outcomes

By Mark Skilton, Professor of Practice, Information Systems Management, Warwick Business School

Does digital technologies raise quality and improve efficiencies but at the same time drive higher costs of service as more advanced solutions and capabilities become available demanding higher entry investment and maintenance costs?

Many new digital technologies introduce step change in performance that would have been cost prohibitive in the previous technology generations. But in some industries the technology cost per outcome have be steadily rising in some industries.

In the healthcare market the cost per treatment of health care technology was highlighted in a MIT Technology Review article (1). In areas such as new drugs for treating depression, left-ventricular assistance devices, or implantable defibrillators may be raising the overall cost of health, yet how do we value this if patient quality of life is improving and life extending. While lower cost drugs and vaccines may be enabling better overall patient outcomes

In the smart city a similar story is unfolding where governments and organizations are seeking paths to use digitization to drive improvements in jobs productivity, better lifestyles and support of environmental sustainability. While there are several opportunities to reduce energy bills, improve transport and office spaces exist with savings of 40% to 60% consumption and efficiencies complexity costs of connecting different residential, corporate offices, transport and other living spaces requires digital initiatives that are coordinated and managed. (U-city experience in South Korea (2)).

These digital paradoxes represent the digital ecosystem challenge to maximise what these new digital technologies can do to augment every objects, services, places and spaces while taking account of the size and addressable market that all these solutions can serve.

Skilton1

What we see is that technology can be both a driver of the physical and digital economy through lowering of price per function in computer storage, compute, access and application technology and creating new value; conversely the issues around driving new value is having different degrees of success in industries.

Creating value in the digital economy

The digital economy is at a tipping point, a growing 30% of business is shifting online to search and engage with consumers, markets and transactions taking account of retail , mobile and impact on supply channels (3);  80% of transport, real estate and hotelier activity is processed through websites (4); over 70% of companies and consumers are experiencing cyber-privacy challenges (5), (6) yet the digital media in social, networks, mobile devices, sensors and the explosion of big data and cloud computing networks is interconnecting potentially everything everywhere – amounting to a new digital “ecosystem.

Disruptive business models across industries and new consumer innovation are increasingly built around new digital technologies such as social media, mobility, big data, cloud computing and the emerging internet of things sensors, networks and machine intelligence. (MISQ Digital Strategy Special Issue (7)).

These trends have significantly enhanced the relevance and significance of IT in its role and impact on business and market value at local, regional and global scale.

With IT budgets increasing shifting more towards the marketing functions and business users of these digital services from traditional IT, there is a growing role for technology to be able to work together in new connected ways.

Driving better digital design outcomes

The age of new digital technologies are combining in new ways to drive new value for individuals, enterprise, communities and societies. The key is in understanding the value that each of these technologies can bring individually and in the mechanisms to creating additive value when used appropriately and cost effectively to drive brand, manage cyber risk, and build consumer engagement and economic growth.

Skilton2

Value-in-use, value in contextualization

Each digital technology has the potential to enable better contextualization of the consumer experience and the value added by providers.   Each industry market has emerging combinations of technologies that can be developed to enable focused value.

Examples of these include.

  • Social media networks

o   Creating enhanced co-presence

  • Big data

o   Providing uniqueness profiling , targeting advice and preferences in context

  • Mobility

o   Creating location context services and awareness

  • Cloud

o   Enabling access to resources and services

  • Sensors

o   Creating real time feedback responsiveness

  • Machine intelligence

o   Enabling insight and higher decision quality

Together these digital technologies can build generative effects that when in context can enable higher value outcomes in digital workspaces.

Skilton3

Value in Contextualization

The value is not in whether these technologies, objects, consumers or provider inside or outside the enterprise or market. These distinctions are out-of-context from relating them to the situation and the consumer needs and wants. The issue is how to apply and put into context the user experience and enterprise and social environment to best use and maximise the outcomes in a specific setting context rom the role perspective.

With the medical roles of patient and clinician, the aim in digitization is how mobile devices, wearable monitoring can be used most efficiently and effectively to raise patient outcome quality and manage health service costs. Especially in the developing countries and remote areas where infrastructure and investment costs, how can technologies reach and improve the quality of health and at an effective cost price point.

This phenomena is wide spread and growing across all industry sectors such as: the connected automobile with in-car entertainment, route planning services; to tele-health that offers remote patient care monitoring and personalized responses; to smart buildings and smart cities that are optimizing energy consumption and work environments; to smart retail where interactive product tags for instant customer mobile information feedback and in-store promotions and automated supply chains. The convergence of these technologies requires a response from all businesses.

These issues are not going to go away, the statistics from analysts describe a new era of a digital industrial economy (8). What is common is the prediction in the next twenty to fifty years suggest double or triple growth in demand for new digital technologies and their adoption.

Skilton4

Platforming and designing better digital outcomes

Developing efective digital workspaces will be fundamental to the value and use of these technologies. There will be not absolute winners and losers as a result of the digital paradox. What is at state is in how the cost and inovation of these technologies can be leveraged to fit specific outcomes.

Understanding the architecting practices will be essentuial in realizing the digitel enterprise. Central to this is how to develop ways to contextualize digital technologies to enable this value for consumers and customers (Value and Worth – creating new markets in the digital economy (9)).Skilton5Platforming will be a central IT strategy that we see already emerging in early generations of digital marketplaces, mobile app ecosystems and emerging cross connecting services in health, automotive, retail and others seeking to create joined up value.

Digital technologies will enable new forms of digital workspaces to support new outcomes. By driving contextualized offers that meet and stimulate consumer behaviors and demand , a richer and more effective value experience and growth potential is possible.

Skilton6The challenge ahead

The evolution of digital technologies will enable many new types of architect and platforms. How these are constructed into meaningful solutions is both the opportunity and the task ahead.

The challenge for both business and IT practitioners is how to understand the practical use and advantages as well as the pitfalls and challenges from these digital technologies

  • What can be done using digital technologies to enhance customer experience, employee productivity and sell more products and services
  • Where to position in a digital market, create generative reinforcing positive behavior and feedback for better market branding
  • Who are the beneficiaries of the digital economy and the impact on the roles and jobs of business and IT professionals
  • Why do enterprises and industry marketplaces need to understand the disruptive effects of these digital technologies and how to leverage these for competitive advantage.
  • How to architect and design robust digital solutions that support the enterprise, its supply chain and extended consumers, customers and providers

References

  1. http://www.technologyreview.com/news/518876/the-costly-paradox-of-health-care-technology/.
  2. http://www.kyoto-smartcity.com/result_pdf/ksce2014_hwang.pdf.
  3. http://www.smartinsights.com/digital-marketing-strategy/online-retail-sales-growth/
  4. http://www.statisticbrain.com/internet-travel-hotel-booking-statistics/
  5. http://www.fastcompany.com/3019097/fast-feed/63-of-americans-70-of-milennials-are-cybercrime-victims
  6. https://www.kpmg.com/Global/en/IssuesAndInsights/ArticlesPublications/Documents/cyber-crime.pdf
  7. http://www.misq.org/contents-37-2
  8. http://www.gartner.com/newsroom/id/2602817
  9. http://www2.warwick.ac.uk/fac/sci/wmg/mediacentre/wmgnews/?newsItem=094d43a23d3fbe05013d835d6d5d05c6

 

Skilton7Digital Health

As the cost of health care, the increasing aging population and the rise of medical advances enable people to live longer and improved quality of life; the health sector together with governments and private industry are increasingly using digital technologies to manage the rising costs of health care while improve patient survival and quality outcomes.

Digital Health Technologies

mHealth, TeleHealth and Translation-to-Bench Health services are just some of the innovative medical technology practices creating new Connected Health Digital Ecosystems.

These systems connect Mobile phones, wearable health monitoring devices, remote emergency alerts to clinician respond and back to big data research for new generation health care.

The case for digital change

UN Department of Economic and Social Affairs

“World population projected to reach 8.92 billion for 2050 and 9.22 Million in 2075. Life expectance is expected to range from 66 to 97 years by 2100.”

OECD Organization for Economic Cooperation and Development

The cost of Health care in developing countries is 8 to 17% of GDP in developed countries. But overall Health car e spending is falling while population growth and life expectancy and aging is increasing.

 

Skilton8Smart cities

The desire to improve buildings, reduce pollution and crime, improve transport, create employment, better education and ways to launch new business start-ups through the use of digital technologies are at the core of important outcomes to drive city growth from “Smart Cities” digital Ecosystem.

Smart city digital technologies

Embedded sensors in building energy management, smart ID badges, and mobile apps for location based advice and services supporting social media communities, enabling improved traffic planning and citizen service response are just some of the ways digital technologies are changing the physical city in the new digital metropolis hubs of tomorrow.

The case for digital change

WHO World Health Organization

“By the middle of the 21st century, the urban population will almost double globally, By 2030, 6 out of every 10 people will live in a city, and by 2050, this proportion will increase to 7 out of 10 people.”

UN Inter-governmental Panel on Climate Change IPCC

“In 2010, the building sector accounted for around 32% final energy use with energy demand projected to approximately double and CO2 emissions to increase by 50–150% by mid-century”

IATA International Air Transport Association

“Airline Industry Forecast 2013-2017 show that airlines expect to see a 31% increase in passenger numbers between 2012 and 2017. By 2017 total passenger numbers are expected to rise to 3.91 billion—an increase of 930 million passengers over the 2.98 billion carried in 2012.”

Mark Skilton 2 Oct 2013Professor Mark Skilton,  Professor of Practice in Information Systems Management , Warwick Business School has over twenty years’ experience in Information Technology and Business consulting to many of the top fortune 1000 companies across many industry sectors and working in over 25 countries at C level board level to transform their operations and IT value.  Mark’s career has included CIO, CTO  Director roles for several FMCG, Telecoms Media and Engineering organizations and recently working in Global Strategic Office roles in the big 5 consulting organizations focusing on digital strategy and new multi-sourcing innovation models for public and private sectors. He is currently a part-time Professor of practice at Warwick Business School, UK where he teaches outsourcing and the intervention of new digital business models and CIO Excellence practices with leading Industry practitioners.

Mark’s current research and industry leadership engagement interests are in Digital Ecosystems and the convergence of social media networks, big data, mobility, cloud computing and M2M Internet of things to enable digital workspaces. This has focused on define new value models digitizing products, workplaces, transport and consumer and provider contextual services. He has spoken and published internationally on these subjects and is currently writing a book on the Digital Economy Series.

Since 2010 Mark has held International standards body roles in The Open Group co-chair of Cloud Computing and leading Open Platform 3.0™ initiatives and standards publications. Mark is active in the ISO JC38 distributed architecture standards and in the Hubs-of-all-things HAT a multi-disciplinary project funded by the Research Council’s UK Digital Economy Programme. Mark is also active in Cyber security forums at Warwick University, Ovum Security Summits and INFOSEC. He has spoken at the EU Commission on Digital Ecosystems Agenda and is currently an EU Commission Competition Judge on Smart Outsourcing Innovation.

 

 

 

 

 

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Evolving Business and Technology Toward an Open Platform 3.0™

By Dave Lounsbury, Chief Technical Officer, The Open Group

The role of IT within the business is one that constantly evolves and changes. If you’ve been in the technology industry long enough, you’ve likely had the privilege of seeing IT grow to become integral to how businesses and organizations function.

In his recent keynote “Just Exactly What Is Going On in Business and Technology?” at The Open Group London Conference in October, Andy Mulholland, former Global Chief Technology Officer at Capgemini, discussed how the role of IT has changed from being traditionally internally focused (inside the firewall, proprietary, a few massive applications, controlled by IT) to one that is increasingly externally focused (outside the firewall, open systems, lots of small applications, increasingly controlled by users). This is due to the rise of a number of disruptive forces currently affecting the industry such as BYOD, Cloud, social media tools, Big Data, the Internet of Things, cognitive computing. As Mulholland pointed out, IT today is about how people are using technology in the front office. They are bringing their own devices, they are using apps to get outside of the firewall, they are moving further and further away from traditional “back office” IT.

Due to the rise of the Internet, the client/server model of the 1980s and 1990s that kept everything within the enterprise is no more. That model has been subsumed by a model in which development is fast and iterative and information is constantly being pushed and pulled primarily from outside organizations. The current model is also increasingly mobile, allowing users to get the information they need anytime and anywhere from any device.

At the same time, there is a push from business and management for increasingly rapid turnaround times and smaller scale projects that are, more often than not, being sourced via Cloud services. The focus of these projects is on innovating business models and acting in areas where the competition does not act. These forces are causing polarization within IT departments between internal IT operations based on legacy systems and new external operations serving buyers in business functions that are sourcing their own services through Cloud-based apps.

Just as UNIX® provided a standard platform for applications on single computers and the combination of servers, PCs and the Internet provided a second platform for web apps and services, we now need a new platform to support the apps and services that use cloud, social, mobile, big data and the Internet of Things. Rather than merely aligning with business goals or enabling business, the next platform will be embedded within the business as an integral element bringing together users, activity and data. To work properly, this must be a standard platform so that these things can work together effectively and at low cost, providing vendors a worthwhile market for their products.

Industry pundits have already begun to talk about this layer of technology. Gartner calls it the “Nexus of Forces.” IDC calls it the “third platform.” At the The Open Group, we refer to it as Open Platform 3.0™, and we announced a new Forum to address how organizations can address and support these technologies earlier this year. Open Platform 3.0 is meant to enable organizations (including standards bodies, users and vendors) coordinate their approaches to the new business models and IT practices driving the new platform to support a new generation of interoperable business solutions.

As is always the case with technologies, a point is reached where technical innovation must transition to business benefit. Open Platform 3.0 is, in essence, the next evolution of computing. To help the industry sort through these changes and create vendor-neutral standards that foster the cohesive adoption of new technologies, The Open Group must also evolve its focus and standards to respond to where the industry is headed.

The work of the Open Platform 3.0 Forum has already begun. Initial actions for the Forum have been identified and were shared during the London conference.  Our recent survey on Convergent Technologies confirmed the need to address these issues. Of those surveyed, 95 percent of respondents felt that converged technologies were an opportunity for business, and 84 percent of solution providers are already dealing with two or more of these technologies in combination. Respondents also saw vendor lock-in as a potential hindrance to using these technologies underscoring the need for an industry standard that will address interoperability. In addition to the survey, the Forum has also produced an initial Business Scenario to begin to address these industry needs and formulate requirements for this new platform.

If you have any questions about Open Platform 3.0 or if you would like to join the new Forum, please contact Chris Harding (c.harding@opengroup.org) for queries regarding the Forum or Chris Parnell (c.parnell@opengroup.org) for queries regarding membership.

 

Dave LounsburyDave is Chief Technical Officer (CTO) and Vice President, Services for The Open Group. As CTO, he ensures that The Open Group’s people and IT resources are effectively used to implement the organization’s strategy and mission.  As VP of Services, Dave leads the delivery of The Open Group’s proven collaboration processes for collaboration and certification both within the organization and in support of third-party consortia. Dave holds a degree in Electrical Engineering from Worcester Polytechnic Institute, and is holder of three U.S. patents.

 

 

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Filed under Cloud, Data management, Future Technologies, Open Platform 3.0, Standards, Uncategorized, UNIX