Tag Archives: social media

The Power of APIs – Join The Open Group Tweet Jam on Wednesday, July 9th

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

The face of technology is evolving at breakneck speed, driven by demand from consumers and businesses alike for more robust, intuitive and integrated service offerings. APIs (application programming interfaces) have made this possible by offering greater interoperability between otherwise disparate software and hardware systems. While there are clear benefits to their use, how do today’s security and value-conscious enterprises take advantage of this new interoperability without exposing them themselves?

On Wednesday, July 9th at 9:00 am PT/12:00 pm ET/5:00 pm GMT, please join us for a tweet jam that will explore how APIs are changing the face of business today, and how to prepare for their implementation in your enterprise.

APIs are at the heart of how today’s technology communicates with one another, and have been influential in enabling new levels of development for social, mobility and beyond. The business benefits of APIs are endless, as are the opportunities to explore how they can be effectively used and developed.

There is reason to maintain a certain level of caution, however, as recent security issues involving open APIs have impacted overall confidence and sustainability.

This tweet jam will look at the business benefits of APIs, as well as potential vulnerabilities and weak points that you should be wary of when integrating them into your Enterprise Architecture.

We welcome The Open Group members and interested participants from all backgrounds to join the discussion and interact with our panel of thought-leaders from The Open Group including Jason Lee, Healthcare and Security Forums Director; Jim Hietala, Vice President of Security; David Lounsbury, CTO; and Dr. Chris Harding, Director for Interoperability and Open Platform 3.0™ Forum Director. To access the discussion, please follow the hashtag #ogchat during the allotted discussion time.

Interested in joining The Open Group Security Forum? Register your interest, here.

What Is a Tweet Jam?

A tweet jam is a 45 minute “discussion” hosted on Twitter. The purpose of the tweet jam is to share knowledge and answer questions on relevant and thought-provoking issues. Each tweet jam is led by a moderator and a dedicated group of experts to keep the discussion flowing. The public (or anyone using Twitter interested in the topic) is encouraged to join the discussion.

Participation Guidance

Here are some helpful guidelines for taking part in the tweet jam:

  • Please introduce yourself (name, title and organization)
  • Use the hashtag #ogchat following each of your tweets
  • Begin your tweets with the question number to which you are responding
  • Please refrain from individual product/service promotions – the goal of the tweet jam is to foster an open and informative dialogue
  • Keep your commentary focused, thoughtful and on-topic

If you have any questions prior to the event or would like to join as a participant, please contact George Morin (@GMorin81 or george.morin@hotwirepr.com).

We look forward to a spirited discussion and hope you will be able to join!

 

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Filed under Data management, digital technologies, Enterprise Architecture, Enterprise Transformation, Information security, Open Platform 3.0, real-time and embedded systems, Standards, Strategy, Tweet Jam, Uncategorized

Future Technologies

By Dave Lounsbury, The Open Group

The Open Group is looking toward the future – what will happen in the next five to ten years?

Those who know us think of The Open Group as being all about consensus, creating standards that are useful to the buy and supply side by creating a stable representation of industry experience – and they would be right. But in order to form this consensus, we must keep an eye on the horizon to see if there are areas that we should be talking about now. The Open Group needs to keep eyes on the future in order to keep pace with businesses looking to gain business advantage by incorporating emerging technologies. According to the McKinsey Global institute[1], “leaders need to plan for a range of scenarios, abandoning assumptions about where competition and risk could come from and not to be afraid to look beyond long-established models.”

To make sure we have this perspective, The Open Group has started a series of Future Technologies workshops. We initiated this at The Open Group Conference in Philadelphia with the goal of identifying emerging business and technical trends that change the shape of enterprise IT.  What are the potential disruptors? How should we be preparing?

As always at The Open Group, we look to our membership to guide us. We assembled a fantastic panel of experts on the topic who offered up insights into the future:

  • Dr. William Lafontaine, VP High Performance Computing, Analytics & Cognitive Markets at IBM Research: Global technology Outlook 2013.
  • Mike Walker, Strategy and Enterprise Architecture Advisor at HP: An Enterprise Architecture’s Journey to 2020.

If you were not able to join us in Philadelphia, you can view the Livestream session on-demand.

Dr. William Lafontaine shared aspects of the company’s Global Technology Outlook 2013, naming the top trends that the company is keeping top of mind, starting with a confluence of social, mobile analytics and cloud.

According to Lafontaine and his colleagues, businesses must prepare for not “mobile also” but “mobile first.” In fact, there will be companies that will exist in a mobile-only environment.

  • Growing scale/lower barrier of entry – More data created, but also more people able to create ways of taking advantage of this data, such as companies that excel at personal interface. Multimedia analytics will become a growing concern for businesses that will be receiving swells of information video and images.
  • Increasing complexity – the Confluence of Social, Mobile, Cloud and Big Data / Analytics will result in masses of data coming from newer, more “complex” places, such as scanners, mobile devices and other “Internet of Things”. Yet, these complex and varied streams of data are more consumable and will have an end-product which is more easily delivered to clients or user.  Smaller businesses are also moving closer toward enterprise complexity. For example, when you swipe your credit card, you will also be shown additional purchasing opportunities based on your past spending habits.  These can include alerts to nearby coffee shops that serve your favorite tea to local bookstores that sell mysteries or your favorite genre.
  •  Fast pace – According to Lafontaine, ideas will be coming to market faster than ever. He introduced the concept of the Minimum Buyable Product, which means take an idea (sometimes barely formed) to inventors to test its capabilities and to evaluate as quickly as possible. Processes that once took months or years can now take weeks. Lafontaine used the MOOC innovator Coursera as an example: Eighteen months ago, it had no clients and existed in zero countries. Now it’s serving over 4 million students around the world in over 29 countries. Deployment of open APIs will become a strategic tool for creation of value.
  • Contextual overload – Businesses have more data than they know what to do with: our likes and dislikes, how we like to engage with our mobile devices, our ages, our locations, along with traditional data of record. The next five years, businesses will be attempting to make sense of it.
  • Machine learning – Cognitive systems will form the “third era” of computing. We will see businesses using machines capable of complex reasoning and interaction to extend human cognition.  Examples are a “medical sieve” for medical imaging diagnosis, used by legal firms in suggesting defense / prosecution arguments and in next generation call centers.
  • IT shops need to be run as a business – Mike Walker spoke about how the business of IT is fundamentally changing and that end-consumers are driving corporate behaviors.  Expectations have changed and the bar has been raised.  The tolerance for failure is low and getting lower.  It is no longer acceptable to tell end-consumers that they will be receiving the latest product in a year.  Because customers want their products faster, EAs and businesses will have to react in creative ways.
  • Build a BRIC house: According to Forrester, $2.1 trillion will be spent on IT in 2013 with “apps and the US leading the charge.” Walker emphasized the importance of building information systems, products and services that support the BRIC areas of the world (Brazil, Russia, India and China) since they comprise nearly a third of the global GDP. Hewlett-Packard is banking big on “The New Style of IT”: Cloud, risk management and security and information management.  This is the future of business and IT, says Meg Whitman, CEO and president of HP. All of the company’s products and services presently pivot around these three concepts.
  • IT is the business: Gartner found that 67% of all EA organizations are either starting (39%), restarting (7%) or renewing (21%). There’s a shift from legacy EA, with 80% of organizations focused on how they can leverage EA to either align business and IT standards (25%), deliver strategic business and IT value (39%) or enable major business transformation (16%).

Good as these views are, they only represent two data points on a line that The Open Group wants to draw out toward the end of the decade. So we will be continuing these Future Technologies sessions to gather additional views, with the next session being held at The Open Group London Conference in October.  Please join us there! We’d also like to get your input on this blog.  Please post your thoughts on:

  • Perspectives on what business and technology trends will impact IT and EA in the next 5-10 years
  • Points of potential disruption – what will change the way we do business?
  • What actions should we be taking now to prepare for this future?

[1] McKinsey Global Institute, Disruptive technologies: Advances that will transform life, business, and the global economy. May 2013

Dave LounsburyDave Lounsbury is The Open Group‘s Chief Technology Officer, previously VP of Collaboration Services.  Dave holds three U.S. patents and is based in the U.S.

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Filed under Cloud, Enterprise Architecture, Future Technologies, Open Platform 3.0

As Platform 3.0 ripens, expect agile access and distribution of actionable intelligence across enterprises, says The Open Group panel

By Dana Gardner, Interarbor Solutions

Listen to the recorded podcast here

This latest BriefingsDirect discussion, leading into the The Open Group Conference on July 15 in Philadelphia, brings together a panel of experts to explore the business implications of the current shift to so-called Platform 3.0.

Known as the new model through which big data, cloud, and mobile and social — in combination — allow for advanced intelligence and automation in business, Platform 3.0 has so far lacked standards or even clear definitions.

The Open Group and its community are poised to change that, and we’re here now to learn more how to leverage Platform 3.0 as more than a IT shift — and as a business game-changer. It will be a big topic at next week’s conference.

The panel: Dave Lounsbury, Chief Technical Officer at The Open Group; Chris Harding, Director of Interoperability at The Open Group, and Mark Skilton, Global Director in the Strategy Office at Capgemini. The discussion is moderated by Dana Gardner, Principal Analyst at Interarbor Solutions.

This special BriefingsDirect thought leadership interview comes in conjunction with The Open Group Conference, which is focused on enterprise transformation in the finance, government, and healthcare sectors. Registration to the conference remains open. Follow the conference on Twitter at #ogPHL. [Disclosure: The Open Group is a sponsor of this and other BriefingsDirect podcasts.]

Here are some excerpts:

Gardner: A lot of people are still wrapping their minds around this notion of Platform 3.0, something that is a whole greater than the sum of the parts. Why is this more than an IT conversation or a shift in how things are delivered? Why are the business implications momentous?

Lounsbury: Well, Dana, there are lot of IT changes or technical changes going on that are bringing together a lot of factors. They’re turning into this sort of super-saturated solution of ideas and possibilities and this emerging idea that this represents a new platform. I think it’s a pretty fundamental change.

Lounsbury

If you look at history, not just the history of IT, but all of human history, you see that step changes in societies and organizations are frequently driven by communication or connectedness. Think about the evolution of speech or the invention of the alphabet or movable-type printing. These technical innovations that we’re seeing are bringing together these vast sources of data about the world around us and doing it in real time.

Further, we’re starting to see a lot of rapid evolution in how you turn data into information and presenting the information in a way such that people can make decisions on it. Given all that we’re starting to realize, we’re on the cusp of another step of connectedness and awareness.

Fundamental changes

This really is going to drive some fundamental changes in the way we organize ourselves. Part of what The Open Group is doing, trying to bring Platform 3.0 together, is to try to get ahead of this and make sure that we understand not just what technical standards are needed, but how businesses will need to adapt and evolve what business processes they need to put in place in order to take maximum advantage of this to see change in the way that we look at the information.

Harding: Enterprises have to keep up with the way that things are moving in order to keep their positions in their industries. Enterprises can’t afford to be working with yesterday’s technology. It’s a case of being able to understand the information that they’re presented, and make the best decisions.

Harding

We’ve always talked about computers being about input, process, and output. Years ago, the input might have been through a teletype, the processing on a computer in the back office, and the output on print-out paper.

Now, we’re talking about the input being through a range of sensors and social media, the processing is done on the cloud, and the output goes to your mobile device, so you have it wherever you are when you need it. Enterprises that stick in the past are probably going to suffer.

Gardner: Mark Skilton, the ability to manage data at greater speed and scale, the whole three Vs — velocity, volume, and value — on its own could perhaps be a game changing shift in the market. The drive of mobile devices into lives of both consumers and workers is also a very big deal.

Of course, cloud has been an ongoing evolution of emphasis towards agility and efficiency in how workloads are supported. But is there something about the combination of how these are coming together at this particular time that, in your opinion, substantiates The Open Group’s emphasis on this as a literal platform shift?

Skilton: It is exactly that in terms of the workloads. The world we’re now into is the multi-workload environment, where you have mobile workloads, storage and compute workloads, and social networking workloads. There are many different types of data and traffic today in different cloud platforms and devices.

Skilton

It has to do with not just one solution, not one subscription model — because we’re now into this subscription-model era … the subscription economy, as one group tends to describe it. Now, we’re looking for not only just providing the security, the infrastructure, to deliver this kind of capability to a mobile device, as Chris was saying. The question is, how can you do this horizontally across other platforms? How can you integrate these things? This is something that is critical to the new order.

So Platform 3.0 addressing this point by bringing this together. Just look at the numbers. Look at the scale that we’re dealing with — 1.7 billion mobile devices sold in 2012, and 6.8 billion subscriptions estimated according to the International Telecommunications Union (ITU) equivalent to 96 percent of the world population.

Massive growth

We had massive growth in scale of mobile data traffic and internet data expansion. Mobile data is increasing 18 percent fold from 2011 to 2016 reaching 130 exabytes annually.  We passed 1 zettabyte of global online data storage back in 2010 and IP data traffic predicted to pass 1.3 zettabytes by 2016, with internet video accounting for 61 percent of total internet data according to Cisco studies.

These studies also predict data center traffic combining network and internet based storage will reach 6.6 zettabytes annually, and nearly two thirds of this will be cloud based by 2016.  This is only going to grow as social networking is reaching nearly one in four people around the world with 1.7 billion using at least one form of social networking in 2013, rising to one in three people with 2.55 billion global audience by 2017 as another extraordinary figure from an eMarketing.com study.

It is not surprising that many industry analysts are seeing growth in technologies of mobility, social computing, big data and cloud convergence at 30 to 40 percent and the shift to B2C commerce passing $1 trillion in 2012 is just the start of a wider digital transformation.

These numbers speak volumes in terms of the integration, interoperability, and connection of the new types of business and social realities that we have today.

Gardner: Why should IT be thinking about this as a fundamental shift, rather than a modest change?

Lounsbury: A lot depends on how you define your IT organization. It’s useful to separate the plumbing from the water. If we think of the water as the information that’s flowing, it’s how we make sure that the water is pure and getting to the places where you need to have the taps, where you need to have the water, etc.

But the plumbing also has to be up to the job. It needs to have the capacity. It needs to have new tools to filter out the impurities from the water. There’s no point giving someone data if it’s not been properly managed or if there’s incorrect information.

What’s going to happen in IT is not only do we have to focus on the mechanics of the plumbing, where we see things like the big database that we’ve seen in the open-source  role and things like that nature, but there’s the analytics and the data stewardship aspects of it.

We need to bring in mechanisms, so the data is valid and kept up to date. We need to indicate its freshness to the decision makers. Furthermore, IT is going to be called upon, whether as part of the enterprise IP or where end users will drive the selection of what they’re going to do with analytic tools and recommendation tools to take the data and turn it into information. One of the things you can’t do with business decision makers is overwhelm them with big rafts of data and expect them to figure it out.

You really need to present the information in a way that they can use to quickly make business decisions. That is an addition to the role of IT that may not have been there traditionally — how you think about the data and the role of what, in the beginning, was called data scientist and things of that nature.

Shift in constituency

Skilton: I’d just like to add to Dave’s excellent points about, the shape of data has changed, but also about why should IT get involved. We’re seeing that there’s a shift in the constituency of who is using this data.

We have the Chief Marketing Officer and the Chief Procurement Officer and other key line of business managers taking more direct control over the uses of information technology that enable their channels and interactions through mobile, social and data analytics. We’ve got processes that were previously managed just by IT and are now being consumed by significant stakeholders and investors in the organization.

We have to recognize in IT that we are the masters of our own destiny. The information needs to be sorted into new types of mobile devices, new types of data intelligence, and ways of delivering this kind of service.

I read recently in MIT Sloan Management Review an article that asked what is the role of the CIO. There is still the critical role of managing the security, compliance, and performance of these systems. But there’s also a socialization of IT, and this is where  the  positioning architectures which are cross platform is key to  delivering real value to the business users in the IT community.

Gardner: How do we prevent this from going off the rails?

Harding: This a very important point. And to add to the difficulties, it’s not only that a whole set of different people are getting involved with different kinds of information, but there’s also a step change in the speed with which all this is delivered. It’s no longer the case, that you can say, “Oh well, we need some kind of information system to manage this information. We’ll procure it and get a program written” that a year later that would be in place in delivering reports to it.

Now, people are looking to make sense of this information on the fly if possible. It’s really a case of having the platforms be the standard technology platform and also the systems for using it, the business processes, understood and in place.

Then, you can do all these things quickly and build on learning from what people have gone in the past, and not go out into all sorts of new experimental things that might not lead anywhere. It’s a case of building up the standard platform in the industry best practice. This is where The Open Group can really help things along by being a recipient and a reflector of best practice and standard.

Skilton: Capgemini has been doing work in this area. I break it down into four levels of scalability. It’s the platform scalability of understanding what you can do with your current legacy systems in introducing cloud computing or big data, and the infrastructure that gives you this, what we call multiplexing of resources. We’re very much seeing this idea of introducing scalable platform resource management, and you see that a lot with the heritage of virtualization.

Going into networking and the network scalability, a lot of the customers have who inherited their old telecommunications networks are looking to introduce new MPLS type scalable networks. The reason for this is that it’s all about connectivity in the field. I meet a number of clients who are saying, “We’ve got this cloud service,” or “This service is in a certain area of my country. If I move to another parts of the country or I’m traveling, I can’t get connectivity.” That’s the big issue of scaling.

Another one is application programming interfaces (APIs). What we’re seeing now is an explosion of integration and application services using API connectivity, and these are creating huge opportunities of what Chris Anderson of Wired used to call the “long tail effect.” It is now a reality in terms of building that kind of social connectivity and data exchange that Dave was talking about.

Finally, there are the marketplaces. Companies needs to think about what online marketplaces they need for digital branding, social branding, social networks, and awareness of your customers, suppliers, and employees. Customers can see that these four levels are where they need to start thinking about for IT strategy, and Platform 3.0 is right on this target of trying to work out what are the strategies of each of these new levels of scalability.

Gardner: We’re coming up on The Open Group Conference in Philadelphia very shortly. What should we expect from that? What is The Open Group doing vis-à-vis Platform 3.0, and how can organizations benefit from seeing a more methodological or standardized approach to some way of rationalizing all of this complexity? [Registration to the conference remains open. Follow the conference on Twitter at #ogPHL.]

Lounsbury: We’re still in the formational stages of  “third platform” or Platform 3.0 for The Open Group as an industry. To some extent, we’re starting pretty much at the ground floor with that in the Platform 3.0 forum. We’re leveraging a lot of the components that have been done previously by the work of the members of The Open Group in cloud, services-oriented architecture (SOA), and some of the work on the Internet of things.

First step

Our first step is to bring those things together to make sure that we’ve got a foundation to depart from. The next thing is that, through our Platform 3.0 Forum and the Steering Committee, we can ask people to talk about what their scenarios are for adoption of Platform 3.0?

That can range from things like the technological aspects of it and what standards are needed, but also to take a clue from our previous cloud working group. What are the best business practices in order to understand and then adopt some of these Platform 3.0 concepts to get your business using them?

What we’re really working toward in Philadelphia is to set up an exchange of ideas among the people who can, from the buy side, bring in their use cases from the supply side, bring in their ideas about what the technology possibilities are, and bring those together and start to shape a set of tracks where we can create business and technical artifacts that will help businesses adopt the Platform 3.0 concept.

Harding: We certainly also need to understand the business environment within which Platform 3.0 will be used. We’ve heard already about new players, new roles of various kinds that are appearing, and the fact that the technology is there and the business is adapting to this to use technology in new ways.

For example, we’ve heard about the data scientist. The data scientist is a new kind of role, a new kind of person, that is playing a particular part in all this within enterprises. We’re also hearing about marketplaces for services, new ways in which services are being made available and combined.

We really need to understand the actors in this new kind of business scenario. What are the pain points that people are having? What are the problems that need to be resolved in order to understand what kind of shape the new platform will have? That is one of the key things that the Platform 3.0 Forum members will be getting their teeth into.

Gardner: Looking to the future, when we think about the ability of the data to be so powerful when processed properly, when recommendations can be delivered to the right place at the right time, but we also recognize that there are limits to a manual or even human level approach to that, scientist by scientist, analysis by analysis.

When we think about the implications of automation, it seems like there were already some early examples of where bringing cloud, data, social, mobile, interactions, granularity of interactions together, that we’ve begun to see that how a recommendation engine could be brought to bear. I’m thinking about the Siri capability at Apple and even some of the examples of the Watson Technology at IBM.

So to our panel, are there unknown unknowns about where this will lead in terms of having extraordinary intelligence, a super computer or data center of super computers, brought to bear almost any problem instantly and then the result delivered directly to a center, a smart phone, any number of end points?

It seems that the potential here is mind boggling. Mark Skilton, any thoughts?

Skilton: What we’re talking about is the next generation of the Internet.  The advent of IPv6 and the explosion in multimedia services, will start to drive the next generation of the Internet.

I think that in the future, we’ll be talking about a multiplicity of information that is not just about services at your location or your personal lifestyle or your working preferences. We’ll see a convergence of information and services across multiple devices and new types of “co-presence services” that interact with your needs and social networks to provide predictive augmented information value.

When you start to get much more information about the context of where you are, the insight into what’s happening, and the predictive nature of these, it becomes something that becomes much more embedding into everyday life and in real time in context of what you are doing.

I expect to see much more intelligent applications coming forward on mobile devices in the next 5 to 10 years driven by this interconnected explosion of real time processing data, traffic, devices and social networking we describe in the scope of platform 3.0. This will add augmented intelligence and is something that’s really exciting and a complete game changer. I would call it the next killer app.

First-mover benefits

Gardner: There’s this notion of intelligence brought to bear rapidly in context, at a manageable cost. This seems to me a big change for businesses. We could, of course, go into the social implications as well, but just for businesses, that alone to me would be an incentive to get thinking and acting on this. So any thoughts about where businesses that do this well would be able to have significant advantage and first mover benefits?

Harding: Businesses always are taking stock. They understand their environments. They understand how the world that they live in is changing and they understand what part they play in it. It will be down to individual businesses to look at this new technical possibility and say, “So now this is where we could make a change to our business.” It’s the vision moment where you see a combination of technical possibility and business advantage that will work for your organization.

It’s going to be different for every business, and I’m very happy to say this, it’s something that computers aren’t going to be able to do for a very long time yet. It’s going to really be down to business people to do this as they have been doing for centuries and millennia, to understand how they can take advantage of these things.

So it’s a very exciting time, and we’ll see businesses understanding and developing their individual business visions as the starting point for a cycle of business transformation, which is what we’ll be very much talking about in Philadelphia. So yes, there will be businesses that gain advantage, but I wouldn’t point to any particular business, or any particular sector and say, “It’s going to be them” or “It’s going to be them.”

Gardner: Dave Lounsbury, a last word to you. In terms of some of the future implications and vision, where could this could lead in the not too distant future?

Lounsbury: I’d disagree a bit with my colleagues on this, and this could probably be a podcast on its own, Dana. You mentioned Siri, and I believe IBM just announced the commercial version of its Watson recommendation and analysis engine for use in some customer-facing applications.

I definitely see these as the thin end of the wedge on filling that gap between the growth of data and the analysis of data. I can imagine in not in the next couple of years, but in the next couple of technology cycles, that we’ll see the concept of recommendations and analysis as a service, to bring it full circle to cloud. And keep in mind that all of case law is data and all of the medical textbooks ever written are data. Pick your industry, and there is huge amount of knowledge base that humans must currently keep on top of.

This approach and these advances in the recommendation engines driven by the availability of big data are going to produce profound changes in the way knowledge workers produce their job. That’s something that businesses, including their IT functions, absolutely need to stay in front of to remain competitive in the next decade or so.

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Filed under ArchiMate®, Business Architecture, Cloud, Cloud/SOA, Conference, Data management, Enterprise Architecture, Platform 3.0, Professional Development, TOGAF®

Connect at The Open Group Conference in Sydney (#ogSYD) via Social Media

By The Open Group Conference Team

By attending The Open Group’s conferences, attendees are able to learn from industry experts, understand the latest technologies and standards and discuss and debate current industry trends. One way to maximize the benefits is to make technology work for you. If you are attending The Open Group Conference in Sydney next week, we’ve put together a few tips on how to leverage social media to make networking at the conference easier, quicker and more effective.

Using Twitter at #ogSYD

Twitter is a real-time news-sharing tool that anyone can use. The official hashtag for the conference is #ogSYD. This enables anybody, whether they are physically attending the event or not, to follow what’s happening at The Open Group Conference in Sydney in real-time and interact with each other.

Before the conference, be sure to update your Twitter account to monitor #ogSYD and, of course, to tweet about the conference.

Using Facebook at The Open Group Conference in Sydney

You can also track what is happening at the conference on The Open Group Facebook Page. We will be posting photos from conference events throughout the week. If you’re willing to share, your photos with us, we’re happy to post them to our page with a photo credit. Please email your photos, captions, full name and organization to photo (at) opengroup.org!

LinkedIn during The Open Group Conference in Sydney

Motivated by one of the sessions? Interested in what your peers have to say? Start a discussion on The Open Group LinkedIn Group page. We’ll also be sharing interesting topics and questions related to The Open Group Conference as it is happening. If you’re not a member already, requesting membership is easy. Simply go to the group page and click the “Join Group” button. We’ll accept your request as soon as we can!

Blogging during The Open Group Conference in Sydney

Stay tuned for conference recaps here on The Open Group blog. In case you missed a session or you weren’t able to make it to Sydney, we’ll be posting the highlights and recaps on the blog. If you are attending the conference and would like to submit a recap of your own, please contact ukopengroup (at) hotwirepr.com.

If you have any questions about social media usage at the conference, feel free to tweet the conference team @theopengroup.

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Filed under Conference

Thinking About Big Data

By Dave Lounsbury, The Open Group

“We can not solve our problems with the same level of thinking that created them.”

- Albert Einstein

The growing consumerization of technology and convergence of technologies such as the “Internet of Things”, social networks and mobile devices are causing big changes for enterprises and the marketplace. They are also generating massive amounts of data related to behavior, environment, location, buying patterns and more.

Having massive amounts of data readily available is invaluable. More data means greater insight, which leads to more informed decision-making. So far, we are keeping ahead of this data by smarter analytics and improving the way we handle this data. The question is, how long can we keep up? The rate of data production is increasing; as an example, an IDC report[1] predicts that the production of data will increase 50X in the coming decade. To magnify this problem, there’s an accompanying explosion of data about the data – cataloging information, metadata, and the results of analytics are all data in themselves. At the same time, data scientists and engineers who can deal with such data are already a scarce commodity, and the number of such people is expected to grow only by 1.5X in the same period.

It isn’t hard to draw the curve. Turning data into actionable insight is going to be a challenge – data flow is accelerating at a faster rate than the available humans can absorb, and our databases and data analytic systems can only help so much.

Markets never leave gaps like this unfilled, and because of this we should expect to see a fundamental shift in the IT tools we use to deal with the growing tide of data. In order to solve the challenges of managing data with the volume, variety and velocities we expect, we will need to teach machines to do more of the analysis for us and help to make the best use of scarce human talents.

The Study of Machine Learning

Machine Learning, sometimes called “cognitive computing”[2] or “intelligent computing”, looks at the study of building computers with the capability to learn and perform tasks based on experience. Experience in this context includes looking at vast data sets, using multiple “senses” or types of media, recognizing patterns from past history or precedent, and extrapolating this information to reason about the problem at hand. An example of machine learning that is currently underway in the healthcare sector is medical decision aids that learn to predict therapies or to help with patient management, based on correlating a vast body of medical and drug experience data with the information about the patients under treatment

A well-known example of this is Watson, a machine learning system IBM unveiled a few years ago. While Watson is best known for winning Jeopardy, that was just the beginning. IBM has since built six Watsons to assist with their primary objective: to help health care professionals find answers to complex medical questions and help with patient management[3]. The sophistication of Watson is the reaction of all this data action that is going on. Watson of course isn’t the only example in this field, with others ranging from Apple’s Siri intelligent voice-operated assistant to DARPA’s SyNAPSE program[4].

Evolution of the Technological Landscape

As the consumerization of technology continues to grow and converge, our way of constructing business models and systems need to evolve as well. We need to let data drive the business process, and incorporate intelligent machines like Watson into our infrastructure to help us turn data into actionable results.

There is an opportunity for information technology and companies to help drive this forward. However, in order for us to properly teach computers how to learn, we first need to understand the environments in which they will be asked to learn in – Cloud, Big Data, etc. Ultimately, though, any full consideration of these problems will require a look at how machine learning can help us make decisions – machine learning systems may be the real platform in these areas.

The Open Group is already laying the foundation to help organizations take advantage of these convergent technologies with its new forum, Platform 3.0. The forum brings together a community of industry thought leaders to analyze the use of Cloud, Social, Mobile computing and Big Data, and describe the business benefits that enterprises can gain from them. We’ll also be looking at trends like these at our Philadelphia conference this summer.  Please join us in the discussion.


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Filed under Cloud, Cloud/SOA, Data management, Enterprise Architecture

Business Architecture Tweet Jam – March 19

By Patty Donovan, The Open Group

On Tuesday, March 19 at 2:00 p.m. PT/9:00 p.m. BST/Wednesday, March 20 at 8:00 a.m. EDT (Sydney, Australia), The Open Group will host a tweet jam examining the topic of Business Architecture.

Today, Business Architecture is shaping and fostering enterprise transformation initiatives and continuous improvement throughout companies of all sizes. In The Open Group’s 2013 Predictions, Steve Philp, marketing Director for Open CA and Open CITS at The Open Group predicted that Business Architecture would continue to grow in prominence and visibility among executives. According to Steve’s prediction, “there are a number of key technology areas for 2013 where business architects will be called upon to engage with the business such as Cloud Computing, Big Data and social networking.” Steve also predicted that “the need to have competent Business Architects is a high priority in both the developed and emerging markets and the demand for Business Architects currently exceeds the supply.” Steve’s sentiments mirror an industry-wide perspective: It’s certain that Business Architecture will impact enterprises, but to what extent?

This tweet jam, sponsored by The Open Group, will take a step back and allow participants to discuss what the nascent topic of Business Architecture actually means. How is Business Architecture defined? What is the role of the business architect and how does Business Architecture relate to Enterprise Architecture?

Please join us for our upcoming Business Architecture tweet jam where leading experts will discuss this evolving topic.

And for those of you who are unfamiliar with tweet jams, here is some background information:

What Is a Tweet Jam?

A tweet jam is a one hour “discussion” hosted on Twitter. The purpose of the tweet jam is to share knowledge and answer questions on Business Architecture. Each tweet jam is led by a moderator and a dedicated group of experts to keep the discussion flowing. The public (or anyone using Twitter interested in the topic) is encouraged to join the discussion.

Participation Guidance

Whether you’re a newbie or veteran Twitter user, here are a few tips to keep in mind:

  • Have your first #ogChat tweet be a self-introduction: name, affiliation, occupation.
  • Start all other tweets with the question number you’re responding to and the #ogChat hashtag.
    • Sample: “Q1 Business Architecture has different meanings to different people within my organization #ogChat”
    • Please refrain from product or service promotions. The goal of a tweet jam is to encourage an exchange of knowledge and stimulate discussion.
    • While this is a professional get-together, we don’t have to be stiff! Informality will not be an issue!
    • A tweet jam is akin to a public forum, panel discussion or Town Hall meeting – let’s be focused and thoughtful.

If you have any questions prior to the event or would like to join as a participant, please direct them to Rod McLeod (rmcleod at bateman-group dot com). We anticipate a lively chat and hope you will be able to join!

patricia donovanPatricia Donovan is Vice President, Membership & Events, at The Open Group and a member of its executive management team. In this role she is involved in determining the company’s strategic direction and policy as well as the overall management of that business area. Patricia joined The Open Group in 1988 and has played a key role in the organization’s evolution, development and growth since then. She also oversees the company’s marketing, conferences and member meetings. She is based in the U.S.

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Filed under Business Architecture, Tweet Jam

Welcome to Platform 3.0

By Dave Lounsbury, The Open Group

The space around us is forever changing.

As I write now, the planet’s molten core is in motion far beneath my feet, and way above my head, our atmosphere and the universe are in constant flux too.

Man also makes his own changes as well. Innovation in technology and business constantly create new ways to work together and create economic value.

Over the past few years, we have witnessed the birth, evolution and use of a number of such changes, each of which has the potential to fundamentally change the way we engage with one another. These include: Mobile, Social (both Social Networks and Social Enterprise), Big Data, the Internet of Things, Cloud Computing as well as devices and application architectures.

Now however, these once disparate forces are converging – united by the growing Consumerization of Technology and the resulting evolution in user behavior – to create new business models and system designs.

You can see evidence of this convergence of trends in the following key architectural shifts:

  • Exponential growth of data inside and outside organizations converging with end point usage in mobile devices, analytics, embedded technology and Cloud hosted environments
  • Speed of technology and business innovation is rapidly changing the focus from asset ownership to the usage of services, and the predication of more agile architecture models to be able to adapt to new technology change and offerings
  • New value networks resulting from the interaction and growth of the Internet of Things and multi-devices and connectivity targeting specific vertical industry sector needs
  • Performance and security implications involving cross technology platforms , cache and bandwidth strategies, existing across federated environments
  • Social behavior and market channel changes resulting in multiple ways to search and select IT and business services
  • Cross device and user-centric driven service design and mainstream use of online marketplace platforms for a growing range of services

The analyst community was the first to recognize and define this evolution in the technological landscape which we are calling Platform 3.0.

At Gartner’s Symposium conference, the keynote touched on the emergence of what it called a ‘Nexus of Forces,’ and warning that it would soon render existing Business Architectures “obsolete.”

However, for those organizations who could get it right, Gartner called the Nexus a “key differentiator of business and technology management” and recommended that “strategizing on how to take advantage of the Nexus should be a top priority for companies around the world.”[i]

Similarly, according to IDC Chief Analyst, Frank Gens, “Vendors’ ability (or inability) to compete on the 3rd Platform [Platform 3.0] right now — even at the risk of cannibalizing their own 2nd Platform franchises — will reorder leadership ranks within the IT market and, ultimately, every industry that uses IT.”[ii]

Of course, while organizations will be looking to make use of Platform 3.0 to create innovative new products and services, this will not be an easy transition for many. Significantly, there will be architectural issues and structural considerations to consider when using and combining these convergent technologies which will need to be overcome. Accomplishing this will in turn require cooperation among suppliers and users of these products and services.

That is why we’re excited to announce the formation of a new – as yet unnamed – forum, specifically designed to advance The Open Group vision of Boundaryless Information Flow™ by helping enterprises to take advantage of these convergent technologies. This will be accomplished by identifying a set of new platform capabilities, and architecting and standardizing an IT platform by which enterprises can reap the business benefits of Platform 3.0. It is our intention that these capabilities will enable enterprises to:

  • Process data “in the Cloud”
  • Integrate mobile devices with enterprise computing
  • Incorporate new sources of data, including social media and sensors in the Internet of Things
  • Manage and share data that has high volume, velocity, variety and distribution
  • Turn the data into usable information through correlation, fusion, analysis and visualization

The forum will bring together a community of industry experts and thought leaders whose purpose it will be to meet these goals, initiate and manage programs to support them, and promote the results. Owing to the nature of the forum it is expected that this forum will also leverage work underway in this area by The Open Group’s existing Cloud Work Group, and would coordinate with other forums for specific overlapping or cross-cutting activities.

Looking ahead, the first deliverables will analyze the use of Cloud, Social, Mobile Computing and Big Data, and describe the business benefits that enterprises can gain from them. The forum will then proceed to describe the new IT platform in the light of this analysis.

If this area is as exciting and important to you and your organization as it is to us, please join us in the discussion. We will use this blog and other communication channels of The Open Group to let you know how you can participate, and we’d of course welcome your comments and thoughts on this idea.

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Filed under Enterprise Architecture, Professional Development