Category Archives: Cloud/SOA

Three laws of the next Internet of Things – the new platforming evolution in computing

By Mark Skilton, Global Director at Capgemini

There is a wave of new devices and services that are growing in strength extending the boundary of what is possible in today’s internet driven economy and lifestyle.   A striking feature is the link between apps that are on smart phones and tablets and the ability to connect to not just websites but also to data collection sensors and intelligence analytical analysis of that information.   A key driver of this has also been the improvement in the cost-performance curve of information technology not just in CPU and storage but also the easy availability and affordability of highly powerful computing and mass storage in mobile devices coupled with access to complex sensors, advanced optics and screen displays results in a potentially truly immersive experience.  This is a long way from the early days of radio frequency identity tags which are the forerunner of this evolution.   Digitization of information and its interpretation of meaning is everywhere, moving into a range of industries and augmented services that create new possibilities and value. A key challenge in how to understand this growth of devices, sensors, content and services across the myriad of platforms and permutations this can bring.

·         Energy conservation

o   Through home and building energy management

·         Lifestyle activity

o   Motion sensor Accelerometers, ambient light sensors, moisture sensors, gyroscopes, proximity sensors.

·          Lifestyle health

o   Heart rate, blood oxygen levels, respiratory rate, heart rate variability, for cardiorespiratory monitoring are some of the potential
that connecting Devices

·         Medical Health

o   Biomedical sensing for patient care and elderly care management,  heart, lung, kidney dialysis,  medial value and organ implants, orthopaedic implants and brain-image scanning.   Examples of devices can monitoring elderly physical activity, blood pressure and other factors unobtrusively and proactively.  These aim to drive improvements in prevention, testing, early detection, surgery and treatment helping improve quality of life and address rising medical costs and society impact of aging population.

·         Transport

o   Precision global positioning, local real time image perception interpretation  sensing, dynamic electromechanical control systems.

·         Materials science engineering and manufacturing

o   Strain gauges, stress sensors, precision lasers, micro and nanoparticle engineering,  cellular manipulation, gene splicing,
3D printing has the potential to revolutionize automated manufacturing but through distributed services over the internet, manufacturing can potentially be accessed by anyone.

·         Physical Safety and security

o   Examples include Controlling children’s access to their mobile phone via your pc is an example of parental protection of children using web based applications to monitory and control mobile and computing access.  Or Keyless entry using your  phone.  Wiki, Bluetooth and internet network app and device to automate locking of physical; door and entry remotely or in proximity.

·         Remote activity and swarming robotics

o   The developing of autonomous robotics to respond and support exploration and services in harsh or inaccessible environments. Disabled support through robotic prosthetics and communication synthesis.   Swarming robots that fly or mimic group behavior.  Swarming robots that mimic nature and decision making.

These are just the tip of want is possible; the early commercial ventures that are starting to drive new ways to think about information technology and application services.

A key feature I noticed in all these devices are that they augment previous layers of technology by sitting on top of them and adding extra value.   While often the long shadow of the first generation giants of the public internet Apple, Google, Amazon give the impression that to succeed means a controlled platform and investment of millions; these new technologies use existing infrastructure and operate across a federated distributed architecture that represents a new kind of platforming paradigm of multiple systems.

Perhaps a paradigm of new technology cycles is that as the new tech arrives it will cannibalize older technologies. Clearly nothing is immune to this trend, even the cloud,   I’ll call it even the evolution of a  kind a technology laws ( a feature  I saw in by Charles Fine clock speed book http://www.businessforum.com/clockspeed.html  but adapted here as a function of compound cannibalization and augmentation).  I think Big Data is an example of such a shift in this direction as augmented informatics enables major next generation power pays for added value services.

These devices and sensors can work with existing infrastructure services and resources but they also create a new kind of computing architecture that involves many technologies, standards and systems. What was in early times called “system of systems” Integration (Examples seen in the defence sector  http://www.bctmod.army.mil/SoSI/sosi.html  and digital ecosystems in the government sector  http://www.eurativ.com/specialreport-skills/kroes-europe-needs-digital-ecosy-interview-517996 )

While a sensor device can replace the existing thermostat in your house or the lighting or the access locks to your doors, they are offering a new kind of augmented experience that provides information and insight that enabled better control of the wider environment or the actions and decisions within a context.

This leads to a second feature of these device, the ability to learn and adapt from the inputs and environment.  This is probably an even larger impact than the first to use infrastructure in that it’s the ability to change the outcomes is a revolution in information.  The previous idea of static information and human sense making of this data is being replaced by the active pursuit of automated intelligence from the machines we build.   Earlier design paradigms that needed to define declarative services, what IT call CRUD (Create, Read, Update, Delete) as predefined and managed transactions are being replaced by machine learning algorithms that seek to build a second generation of intelligent services  that alter the results and services with the passage of time and usage characteristics.

This leads me to a third effect that became apparent in the discussion of lifestyle services versus medical and active device management.  In the case of lifestyle devices a key feature is the ability to blend in with the personal activity to enable new insight in behavior and lifestyle choices, to passively and actively monitor or tack action, not always to affect they behavior itself. That is to provide unobtrusive, ubiquitous presence.   But moving this idea further it is also about the way the devices could merge in a become integrated within the context of the user or environmental setting.  The example of biomedical devices to augment patient care and wellbeing is one such example that can have real and substantive impact of quality of life as well as efficiency in cost of care programs with an aging population to support.

An interesting side effect of these trends is the cultural dilemma these devices and sensors bring in the intrusion of personal data and privacy. Yet once the meaning and value of if this telemetry on safety , health or material value factors is perceived for the good of the individual and community, the adoption of such services may become more pronounced and reinforced. A virtuous circle of accelerated adoption seen as a key characteristic of successful growth and a kind of conditioning feedback that creates positive reinforcement.     While a key feature that is underpinning these is the ability of the device and sensor to have an unobtrusive, ubiquitous presence this overall effect is central to the idea of effective system of systems integration and borderless information flow TM (The Open Group)

These trends I see as three laws of the next Internet of things describing a next generation platforming strategy and evolution.

Its clear that sensors and devices are merging together in a way that will see cross cutting from one industry to another.  Motion and temperature sensors in one will see application in another industry.   Services from one industry may connect with other industries as combinations of these services, lifestyles and affects.

Iofthings1.jpg

Formal and informal communities both physical and virtual will be connected through sensors and devices that pervade the social, technological and commercial environments. This will drive further growth in the mass of data and digitized information with the gradual semantic representation of this information into meaningful context.  Apps services will develop increasing intelligence and awareness of the multiplicity of data, its content and metadata adding new insight and services to the infrastructure fabric.  This is a new platforming paradigm that may be constructed from one or many systems and architectures from the macro to micro, nano level systems technologies.

The three laws as I describe may be recast in a lighter tongue-in-cheek way comparing them to the famous Isaac Asimov three laws of robotics.   This is just an illustration but in some way implies that the sequence of laws is in some fashion protecting the users, resources and environment by some altruistic motive.  This may be the case in some system feedback loops that are seeking this goal but often commercial micro economic considerations may be more the driver. However I can’t help thinking that this does hint to what maybe the first stepping stone to the eventuality of such laws.

Three laws of the next generation of The Internet of Things – a new platforming architecture

Law 1. A device, sensor or service may operate in an environment if it can augment infrastructure

Law 2.  A device, sensor or service must be able  to learn and adapt its response to the environment as long as  it’s not in conflict with the First law

Law 3. A device, sensor or service  must have unobtrusive ubiquitous presence such that it does not conflict with the First or Second laws

References

 ·       Energy conservation

o   The example of  Nest  http://www.nest.com Learning thermostat, founded by Tony Fadell, ex ipod hardware designer and  Head of iPod and iPhone division, Apple.   The device monitors and learns about energy usage in a building and adapts and controls the use of energy for improved carbon and cost efficiency.

·         Lifestyle activity

o   Motion sensor Accelerometers, ambient light sensors, moisture sensors, gyroscopes, proximity sensors.  Example such as UP Jawbone  https://jawbone/up and Fitbit  http://www.fitbit.com .

·          Lifestyle health

o   Heart rate, blood oxygen levels, respiratory rate, heart rate variability, for cardiorespiratory monitoring are some of the potential that connecting Devices such as Zensorium  http://www.zensorium.com

·         Medical Health

o   Biomedical sensing for patient care and elderly care management,  heart, lung, kidney dialysis,  medial value and organ implants, orthopaedic implants and brain-image scanning.   Examples of devices can monitoring elderly physical activity, blood pressure and other factors unobtrusively and proactively.  http://www.nytimes.com/2010/07/29/garden/29parents.html?pagewanted-all  These aim to drive improvements in prevention, testing, early detection, surgery and treatment helping improve quality of life and address rising medical costs and society impact of aging population.

·         Transport

o   Precision global positioning, local real time image perception interpretation  sensing, dynamic electromechanical control systems. Examples include Toyota  advanced IT systems that will help drivers avoid road accidents.  Http://www.toyota.com/safety/ Google driverless car  http://www.forbes.com/sites/chenkamul/2013/01/22/fasten-your-seatbelts-googles-driverless-car-is-worth-trillions/

·         Materials science engineering and manufacturing

o   Strain gauges, stress sensors, precision lasers, micro and nanoparticle engineering,  cellular manipulation, gene splicing,
3D printing has the potential to revolutionize automated manufacturing but through distributed services over the internet, manufacturing can potentially be accessed by anyone.

·         Physical Safety and security

o   Alpha Blue http://www.alphablue.co.uk Controlling children’s access to their mobile phone via your pc is an example of parental protection of children using web based applications to monitory and control mobile and computing access.

o   Keyless entry using your  phone.  Wiki, Bluetooth and internet network app and device to automate locking of physical; door and entry remotely or in proximity. Examples such as Lockitron  https://www.lockitron.com.

·         Remote activity and swarming robotics

o   The developing of autonomous robotics to respond and support exploration and services in  harsh or inaccessible environments. Examples include the NASA Mars curiosity rover that has active control programs to determine remote actions on the red planet that has a signal delay time round trip (13 minutes, 48 seconds EDL) approximately 30 minutes to detect perhaps react to an event remotely from Earth.  http://blogs.eas.int/mex/2012/08/05/time-delay-betrween-mars-and-earth/  http://www.nasa.gov/mission_pages/mars/main/imdex.html .  Disabled support through robotic prosthetics and communication synthesis.     http://disabilitynews.com/technology/prosthetic-robotic-arm-can-feel/.  Swarming robotc that fly or mimic group behavior.    University of Pennsylvania, http://www.reuters.com/video/2012/03/20/flying-robot-swarms-the-future-of-search?videoId-232001151 Swarming robots ,   Natural Robotics Lab , The University of Sheffield , UK   http://www.sheffield.ac.uk/news/nr/sheffield-centre-robotic-gross-natural-robotics-lab-1.265434

 Mark Skilton is Global Director for Capgemini, Strategy CTO Group, Global Infrastructure Services. His role includes strategy development, competitive technology planning including Cloud Computing and on-demand services, global delivery readiness and creation of Centers of Excellence. He is currently author of the Capgemini University Cloud Computing Course and is responsible for Group Interoperability strategy.

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The era of “Internet aware systems and services” – the multiple-data, multi-platform and multi-device and sensors world

By Mark Skilton, Global Director at Capgemini

Communications + Data protocols and the Next Internet of Things Multi-Platform solutions

Much of the discussion on the “internet of things” have been around industry sector examples use of device and sensor services.  Examples of these I have listed at the end of this paper.  What are central to this emerging trend are not just sector point solutions but three key technical issues driving a new Industry Sector Digital Services strategy to bring these together into a coherent whole.

  1. How combinations of system technologies platforms are converging enabling composite business processes that are mobile , content and transactional rich  and with near real time persistence and interactivity
  2. The development of “non-web browser” protocols in new sensor driven machine data that are emerging that extend  new types of data into internet connected business and social integration
  3. The development of “connected systems” that move solutions in a new digital services of multiple services across platforms creating new business and technology services

I want to illustrate this by focusing on three topics:  multi-platforming strategies, communication protocols and examples of connected systems.

I want to show that this is not a simple “three or four step model” that I often see where mobile + applications and Cloud equal a solution but result in silos of data and platform integration challenges. New processing methods for big data platforms, distributed stream computing and in memory data base services for example are changing the nature of business analytics and in particular marketing and sales strategic planning and insight.  New feedback systems collecting social and machine learning data are  creating new types of business growth opportunities in context aware services that work and augment skills and services.

The major solutions in the digital ecosystem today incorporate an ever growing mix of devices and platforms that offer new user experiences and  organization. This can be seen across most all industry sectors and horizontally between industry sectors. This diagram is a simplistic view I want to use to illustrate the fundamental structures that are forming.

Iofthings1.jpg

Multiple devices that offer simple to complex visualization, on-board application services

Multiple Sensors that can economically detect measure and monitor most physical phenomena: light, heat, energy, chemical, radiological in both non-biological and biological systems.

Physical and virtual communities of formal and informal relationships. These human and/ or machine based  associations in the sense that search and discover of data and resources that can now work autonomously across an internet of many different types of data.

Physical and virtual Infrastructure that represent servers, storage, databases, networks and other resources that can constitute one or more platforms and environments. This infrastructure now is more complex in that it is both distributed and federated across multiple domains: mobile platforms, cloud computing platforms, social network platforms, big data platforms and embedded sensor platforms. The sense of a single infrastructure is both correct and incorrect in that is a combined state and set of resources that may or may not be within a span of control of an individual or organization.

Single and multi-tenanted Application services that operate in transactional, semi or non-deterministic ways that drive logical processing, formatting, interpretation, computation and other processing of data and results from one-to-many, many-to-one or many-to-many platforms and endpoints.

The key to thinking in multiple platforms is to establish the context of how these fundamental forces of platform services are driving interactions for many Industries and business and social networks and services. This is changing because they are interconnected altering the very basis of what defines a single platform to a multiple platform concept.

MS2This diagram illustrates some of these relationships and arrangements.   It is just one example of a digital ecosystem pattern, there can be other arrangements of these system use cases to meet different needs and outcomes.

I use this model to illustrate some of the key digital strategies to consider in empowering communities; driving value for money strategies or establishing a joined up device and sensor strategy for new mobile knowledge workers.   This is particularly relevant for key business stakeholders decision making processes today in Sales, Marketing, Procurement, Design, Sourcing, Supply and Operations to board level as well as IT related Strategy and service integration and engineering.

Taking one key stakeholder example, the Chief Marketing Officer (CMO) is interested and central to strategic channel and product development and brand management. The CMO typically seeks to develop Customer Zones, Supplier zones, marketplace trading communities, social networking communities and behavior insight leadership. These are critical drivers for successful company presence, product and service brand and market grow development as well as managing and aligning IT Cost and spend to what is needed for the business performance.  This creates a new kind of Digital Marketing Infrastructure to drive new customer and marketing value.  The following diagram illustrates types of  marketing services that raise questions over the types of platforms needed for single and multiple data sources, data quality and fidelity.

ms3These interconnected issues effect the efficacy and relevancy of marketing services to work at the speed, timeliness and point of contact necessary to add and create customer and stakeholder value.

What all these new converged technologies have in common are communications.  But  communications that are not just HTTP protocols but wider bandwidth of frequencies that are blurring together what is now possible to be connected.

These protocols include Wi-Fi and other wireless systems and standards that are not just in the voice speech band but also in the collection and use of other types of telemetry relating to other senses and detectors.

All these have common issues of Device and sensor compatibility, discovery and paring and security compatibility and controls.

ms4Communication standards examples for multiple services.

  • Wireless: WLAN, Bluetooth, ZigBee, Z-Wave, Wireless USB,
  •  Proximity Smartcard, Passive , Active, Vicinity Card
  • IrDA, Infrared
  • GPS Satellite
  • Mobile 3G, 4GLTE, Cell, Femtocell, GSM, CDMA, WIMAX
  • RFID RF, LF, HFbands
  • Encryption: WEP, WPA, WPA2, WPS, other

These communication protocols impact on the design and connectivity of system- to-system services. These standards relate to the operability of the services that can be used in the context of a platform and how they are delivered and used by consumers and providers..  How does the data and service connect with the platform? How does the service content get collected, formatted, processed and transmitted between the source and target platform?  How do these devices and sensors work to support extended and remote mobile and platform service?  What distributed workloads work best in a mobile platform, sensor platform or distributed to a dedicated or shared platform that may be cloud computing or appliance based for example?

Answering these questions are key to providing a consistent and powerful digital service strategy that is both flexible and capable of exploiting, scaling and operating with these new system and intersystem capabilities.

This becomes central to a new generation of Internet aware data and services that represent the digital ecosystem that deliver new business and consumer experience on and across platforms.ms5

This results in a new kind of User Experience and Presence strategy that moves the “single voice of the Customer” and “Customer Single voice” to a new level that works across mobile, tablets and other devices and sensors that translate and create new forms of information and experience for consumers and providers. Combining this with new sensors that can include for example; positional, physical and biomedical data content become a reality in this new generation of digital services.  Smart phones today have a price-point that includes many built in sensors that are precision technologies measuring physical and biological data sources. When these are built into new feedback and decision analytics creates a whole new set of possibilities in real time and near real time augmented services as well as new levels of resource use and behavior insight.

The scale and range of data types (text, voice, video, image, semi structured, unstructured, knowledge, metadata , contracts, IP ) about social, business and physical environments have moved beyond the early days of RFID tags to encompass new internet aware sensors, systems, devices and services.  ms6This is not just “Tabs and Pads” of mobiles and tablets but a growing presence into “Boards, Places and Spaces” that make up physical environments turning them in part of the interactive experience and sensory input of service interaction. This now extends to the massive scale of terrestrial communications that connect across the planet and beyond in the case of NASA for example; but also right down to the Micro, Nano, Pico and quantum levels in the case of Molecular and Nano tech engineering .   All these are now part of the modern technological landscape that is pushing the barriers of what is possible in today’s digital ecosystem.

The conclusion is that strategic planning needs to have insight into the nature of new infrastructures and applications that will support these new multisystem workloads and digital infrastructures.
I illustrate this in the following diagram in what I call the “multi-platforming” framework that represents this emerging new ecosystem of services.ms7

Digital Service = k ∑ Platforms + ∑ Connections

K= a coefficient measuring how open, closed and potential value of service

Digital Ecosystem = e ∑ Digital Services

e = a coefficient of how diverse and dynamic the ecosystem and its service participants.

I will explore the impact on enterprise architecture and digital strategy in future blogs and how the emergence of a new kind of architecture called Ecosystem Arch.

Examples of new general Industry sector services Internet of Things

 Mark Skilton is Global Director for Capgemini, Strategy CTO Group, Global Infrastructure Services. His role includes strategy development, competitive technology planning including Cloud Computing and on-demand services, global delivery readiness and creation of Centers of Excellence. He is currently author of the Capgemini University Cloud Computing Course and is responsible for Group Interoperability strategy.

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Driving Boundaryless Information Flow in Healthcare

By E.G. Nadhan, HP

I look forward with great interest to the upcoming Open Group conference on EA & Enterprise Transformation in Finance, Government & Healthcare in Philadelphia in July 2013. In particular, I am interested in the sessions planned on topics related to the Healthcare Industry. This industry is riddled with several challenges of uncontrolled medical costs, legislative pressures, increased plan participation, and improved longevity of individuals. Come to think of it, these challenges are not that different from those faced when defining a comprehensive enterprise architecture. Therefore, can the fundamental principles of Enterprise Architecture be applied towards the resolution of these challenges in the Healthcare industry? The Open Group certainly thinks so.

Enterprise Architecture is a discipline, methodology, and practice for translating business vision and strategy into the fundamental structures and dynamics of an enterprise at various levels of abstraction. As defined by TOGAF®, enterprise architecture needs to be developed through multiple phases. These include Business Architecture, Applications, Information, and Technology Architecture. All this must be in alignment with the overall vision. The TOGAF Architecture Development Method enables a systematic approach to addressing these challenges while simplifying the problem domain.

This approach to the development of Enterprise Architecture can be applied towards the complex problem domain that manifests itself in Healthcare. Thus, it is no surprise that The Open Group is sponsoring the Population Health Working Group, which has a vision to enable “boundary-less information flow” between the stakeholders that participate in healthcare delivery. Checkout the presentation delivered by Larry Schmidt, Chief Technologist, Health and Life Sciences Industries, HP, US at the Open Group conference in Philadelphia.

As a Platinum member of The Open Group, HP has co-chaired the release of multiple standards, including the first technical cloud standard. The Open Group is also leading the definition of the Cloud Governance Framework. Having co-chaired these projects, I look forward to the launch of the Population Health Working Group with great interest.

Given the role of information in today’s landscape, “boundary-less information flow” between the stakeholders that participate in healthcare delivery is vital. At the same time, how about injecting a healthy dose of innovation given that enterprise Architects are best positioned for innovation – a post triggered by Forrester Analyst Brian Hopkins’s thoughts on this topic. The Open Group — with its multifaceted representation from a wide array of enterprises — provides incredible opportunities for innovation in the context of the complex landscape of the healthcare industry. Take a look at the steps taken by HP Labs to innovate and improve patient care one day at a time.

I would strongly encourage you to attend Schmidt’s session, as well as the Healthcare Transformation Panel moderated by Open Group CEO, Allen Brown at this conference.

How about you? What are some of the challenges that you are facing within the Healthcare industry today? Have you applied Enterprise Architecture development methods to problem domains in other industries? Please let me know.

Connect with Nadhan on: Twitter, Facebook, Linkedin and Journey Blog.

A version of this blog post originally appeared on the HP Enterprise Services Blog.

HP Distinguished Technologist and Cloud Advisor, E.G.Nadhan has over 25 years of experience in the IT industry across the complete spectrum of selling, delivering and managing enterprise level solutions for HP customers. He is the founding co-chair for The Open Group SOCCI project and is also the founding co-chair for the Open Group Cloud Computing Governance project. 

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Questions for the Upcoming Platform 3.0™ Tweet Jam

By Patty Donovan, The Open Group

Last week, we announced our upcoming tweet jam on Thursday, June 6 at 9:00 a.m. PT/12:00 p.m. ET/5:00 p.m. BST, which will examine how convergent technologies such as Big Data, Social, Mobile and The Internet of Things are impacting today’s business operations. We will also discuss the opportunities available to those organizations who keep pace with this rapid pace of change and how they might take steps to get there.

The discussion will be moderated by Dana Gardner (@Dana_Gardner), ZDNet – Briefings Direct, and we welcome both members of The Open Group and interested participants alike to join the session.

The discussion will be guided by these five questions:

- Does your organization see a convergence of emerging technologies such as social networking, mobile, cloud and the internet of things?

- How has this convergence affected your business?

- Are these changes causing you to change your IT platform; if so how?

- How is the data created by this convergence affecting business models or how you make business decisions?

- What new IT capabilities are needed to support new business models and decision making?

To join the discussion, please follow the #ogp3 and #ogChat hashtag during the allotted discussion time.

For more information about the tweet jam, guidelines and general background information, please visit our previous blog post.

If you have any questions prior to the event or would like to join as a participant, please direct them to Rob Checkal (rob.checkal at hotwirepr dot com) or leave a comment below. We anticipate a lively chat and hope you will be able to join us!

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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Why should your business care about Platform 3.0™? A Tweet Jam

By Patty Donovan, The Open Group

On Thursday, June 6, The Open Group will host a tweet jam examining Platform 3.0™ and why businesses require it to remain relevant in today’s fast paced internet enabled business environment. Over recent years a number of convergent technologies have emerged which have the potential to disrupt the way we engage with each other in both our personal business lives. Many of us are familiar with the buzz words including Mobile, Social, Big Data, Cloud Computing, the Internet of Things, Machine-to-Machine (M2M) and Cosumerization of IT (CoIT) – but what do they mean for our current operating business environments and what should businesses be doing to ensure that they keep pace?

Gartner was the first to recognize this convergence of trends representing a number of architectural shifts which it called a ‘Nexus of Forces’. This Nexus was presented as both an opportunity in terms of innovation of new IT products and services and a threat for those who do not keep pace with evolution, rendering current Business Architectures obsolete.

Rather than tackle this challenge solo, The Open Group is working with a number of IT experts, analysts and thought leaders to better understand the opportunities available to businesses and the steps they need to take to get them there.

Please join us on Thursday, June 6 at 9:00 a.m. PT/12:00 p.m. ET/5:00 p.m. BST for a tweet jam, moderated by Dana Gardner (@Dana_Gardner), ZDNet – Briefings Direct, that will discuss and debate the issues around Platform 3.0™. Key areas that will be addressed during the discussion include: the specific technical trends (Big Data, Cloud, Consumerization of IT, etc.), and ways businesses can use them – and are already using them – to increase their business opportunity. We welcome Open Group members and interested participants from all backgrounds to join the session and interact with our panel thought leaders led by David Lounsbury, CTO and Chris Harding, Director of Interoperability from The Open Group. To access the discussion, please follow the #ogp3 and #ogChat hashtag during the allotted discussion time.

- Does your organization see a convergence of emerging technologies such as social networking, mobile, cloud and the internet of things?

- How has this convergence affected your business?

- Are these changes causing you to change your IT platform; if so how?

- How is the data created by this convergence affecting business models or how you make business decisions?

- What new IT capabilities are needed to support new business models and decision making?

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 Platform 3.0™. 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 or #ogp3 tweet be a self-introduction: name, affiliation, occupation.
  • Start all other tweets with the question number you’re responding to and the #ogChat or #ogp3 hashtag.
    • Sample: “There are already a number of organizations taking advantage of Platform 3.0 technology trends #ogp3”
    • 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 Rob Checkal (rob.checkal at hotwirepr 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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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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The Open Group Cloud Computing Work Group Web Jam on CIO Priorities

By E.G. Nadhan, HP

Recently, I shared my experience leading the first Web Jam within The Open Group Cloud Work Group. We are now gearing up to have another one of these sessions – this time around, the topic being CIO priorities as driven by Cloud Computing. Even though the Web Jam is an internal session held within The Open Group Cloud Work Group, we want to factor in other opinions as well – hence this blog where I share my perspective on how Cloud Computing is defining the priorities for the CIO. I am basing this perspective on the findings from a survey conducted by IDG Research as published in this white paper on IT priorities where I was one of the persons interviewed.

I would categorize the CIO priorities across five drivers: customers, business, innovation, finance and governance.

1. Customers. CIOs must listen to their customers (especially shareholders). Cloud Computing is breeding a new generation of customer-focused CIOs.  Shareholders are driving IT to the Cloud. At the same time, enterprises need to be at least as social as their customers so that they can process the brontobytes of data generated through these channels.

2. Business. CIOs must shift their attention from technical matters to business issues. This is not surprising. As I outlined in an earlier blog post, the right way to transform to Cloud Computing has always been driven by the business needs of the enterprise. When addressing technical requests, CIOs need to first determine the underlying, business-driven root cause of the request.

3. Innovation. CIOs must make innovation part of the IT blood stream. CIOs need to take steps today to innovate the planet for 2020.  For example, the Cloud facilitates the storage of brontobytes of data that can be informationalized through data analysis techniques by those who have the sexiest job of the 21st Century – Data Scientist.

4. Finance. CIOs must have the right mechanisms in place to track the ROI of Cloud Computing.  As fellow blogger from The Open Group Chris Harding states, CIOs must not fly in the Cloud by the seat of their pants.  Note that tracking the ROI is not a one-time activity. CIOs must be ready to answer the ROI question on the Cloud.

5. Governance. CIOs must ensure that there is a robust Cloud governance model across the enterprise. In the past, I’ve explained how we can build upon SOA Governance to realize Cloud governance.  As a co-chair for the Cloud Governance project within The Open Group, I have a lot of interest in this space and would like to hear your thoughts.

So, there you have it. Those are the top 5 priorities for the CIO driven by key Cloud Computing forces. How about you? Are there other CIO priorities that you can share? I would be interested to know and quite happy to engage in a discussion as well.

Once the web jam has taken place, I am planning on sharing the discussions in this blog so that we can continue our discussion.

NadhanHP Distinguished Technologist, E.G.Nadhan has over 25 years of experience in the IT industry across the complete spectrum of selling, delivering and managing enterprise level solutions for HP customers. He is the founding co-chair for The Open Group SOCCI project and is also the founding co-chair for the Open Group Cloud Computing Governance project. Twitter handle @NadhanAtHP.

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