The document discusses the concept of contextual computing and the contextual enterprise. It begins by describing how IBM's Watson system was able to increase the amount of data and metadata available for reasoning by connecting related information and drawing context from existing data, even without an internet connection. The document then defines contextual computing as applying a similar paradigm of understanding relationships between data and how different processes operate on that data. Finally, it discusses how smart devices can act as natural aggregators of personal context data like interests, calendars, contacts and location, and how this aggregated data can then be used to deliver broader contextual applications and services.
How smart, connected products are transforming companies presentation (edit...Fahmy Amrillah
Information technology is revolutionizing products. Once composed solely of mechanical and electrical parts, products have become complex systems that combine hardware, sensors, data storage, microprocessors, software, and connectivity in myriad ways. These “smart, connected products”—made possible by vast improvements in processing power and device miniaturization and by the network benefits of ubiquitous wireless connectivity—have unleashed a new era of competition.
by Michael E. Porter and James E. Heppelmann
Cognizant is the only company to earn a place in the list of Forbes fastest growing technology companies every year since the list’s inception. Its intriguing growth leaves us inquisitive – is there a framework to excel? Has Cognizant found the same? It is known that the book Built to Last by Jim Collins and Jerry Porras influenced Francisco D’Souza (CEO of Cognizant) the most. He is committed to establish a “cult like” culture focused on core values. But, beyond this, does their dual mandate of run better and run different have any role in their monumental growth? Cognizant is not only preaching about helping their clients to transform in order to run better and run different but also walking the talk by practicing the dual mandate within organization from its early days. This paper digs into Cognizant’s history and current trends to understand what they have done to run better and run different.
Industry 4.0 is the name of the next industrial revolution which is fueled by the advancement of digital technologies. It
is dramatically changing how companies engage in business activities. As a result, the disruptive nature of Industry 4.0
demands a reassessment of the requirements for IT. On the one hand, there is the possibility that the responsibilities of Chief Information Officers (CIOs) could be taken over by other executives such as the Chief Digital Officer (CDO) or the Chief Technology Officer (CTO). On the other hand, this
recent development creates entirely new perspectives for positioning themselves and their IT departments
within the business.
The impact of digital technologies is reaching a magnitude at which IT is considered a substantial
business driver, potentially placing CIOs in the driver’s seat.
En presentation om IBM MessageSight som erbjuder skalbar konnektivitet.
Läs mer om Utveckling och sammankoppling för mobila enheter (http://www-03.ibm.com/software/products/sv/category/SWL00)
How smart, connected products are transforming companies presentation (edit...Fahmy Amrillah
Information technology is revolutionizing products. Once composed solely of mechanical and electrical parts, products have become complex systems that combine hardware, sensors, data storage, microprocessors, software, and connectivity in myriad ways. These “smart, connected products”—made possible by vast improvements in processing power and device miniaturization and by the network benefits of ubiquitous wireless connectivity—have unleashed a new era of competition.
by Michael E. Porter and James E. Heppelmann
Cognizant is the only company to earn a place in the list of Forbes fastest growing technology companies every year since the list’s inception. Its intriguing growth leaves us inquisitive – is there a framework to excel? Has Cognizant found the same? It is known that the book Built to Last by Jim Collins and Jerry Porras influenced Francisco D’Souza (CEO of Cognizant) the most. He is committed to establish a “cult like” culture focused on core values. But, beyond this, does their dual mandate of run better and run different have any role in their monumental growth? Cognizant is not only preaching about helping their clients to transform in order to run better and run different but also walking the talk by practicing the dual mandate within organization from its early days. This paper digs into Cognizant’s history and current trends to understand what they have done to run better and run different.
Industry 4.0 is the name of the next industrial revolution which is fueled by the advancement of digital technologies. It
is dramatically changing how companies engage in business activities. As a result, the disruptive nature of Industry 4.0
demands a reassessment of the requirements for IT. On the one hand, there is the possibility that the responsibilities of Chief Information Officers (CIOs) could be taken over by other executives such as the Chief Digital Officer (CDO) or the Chief Technology Officer (CTO). On the other hand, this
recent development creates entirely new perspectives for positioning themselves and their IT departments
within the business.
The impact of digital technologies is reaching a magnitude at which IT is considered a substantial
business driver, potentially placing CIOs in the driver’s seat.
En presentation om IBM MessageSight som erbjuder skalbar konnektivitet.
Läs mer om Utveckling och sammankoppling för mobila enheter (http://www-03.ibm.com/software/products/sv/category/SWL00)
The ppt describes about the services provided by innominds like mobile enterprise software,application development,independent testing.
website: www.innominds.com
In recent years, enterprise resource planning (ERP) and its business applications have grown and matured dramatically. ERP in 2022 will embrace innovative developments that will offer long-term value for modern systems and businesses that implement it. Let's have a look at the top trends for this year:
BIG DATA has to be the hottest topic in the boardrooms of blue chip companies - organizations with access to vast amounts of data that promises to have a massive impact on their businesses... But if you're not Amazon, Google, Walmart and Tesco what does it mean to your business? What about MOTOR DEALERS for example?
Fujitsu Scanners and Hyland Software Webinar Delivering Automation In The Len...Kevin Neal
This is a presentation on Lending and how document scanning and Enterprise Content Management (ECM) can help improve efficiency and decrease operational costs.
The survival kit for your digital transformationrun_frictionless
To go digital, you need an IT organization, an enterprise architecture, IT processes, and tools that allow for new projects to go live tomorrow instead of next week. The ability to do this will give you a competitive advantage and it will also reduce costs. But how do you get there? This white paper will get you there.
https://runfrictionless.com/b2b-white-paper-service/
Policy Administration Modernization: Four Paths for InsurersCognizant
The pivot to digital is fraught with numerous obstacles but with proper planning and execution, legacy carriers can update their core systems and keep pace with the competition, while proactively addressing customer needs.
The construction industry, which has long been heavily reliant on manual labour, is undergoing digital transformation at an accelerated rate. Here is how the industry is being transformed by technology.
#MaintainMomentum #Construction Industry #Management #Business #ManagementConsulting #ChangeManagement #MaintainMomentum
Going Digital: General Electric and its Digital TransformationCapgemini
How can a company that is over a century old transform itself to thrive in a digital economy?
For GE, responding to change is part of its modus operandi. This is a company that has famously made change a core capability and a constant in its history. For over 120 years, GE has ploughed forward under a banner of “Building, powering, moving and curing the world. Not just imagining. Doing.” This constant focus on innovation and transformation has made the company the only one to still remain in the Dow Jones Industrial Index since the original index was established in 1896.
GE is betting big on software and analytics to bring about its transformation, with Jeff Immelt stating: “I took over an industrial company, now it will be known as an analytics company”. GE’s focus on data analytics was clear back in 2012 when it set aside up to $1.5 billion for small take-overs to boost its presence in analytics. GE currently monitors and analyzes 50 million data elements from 10 million sensors on $1 trillion of managed assets daily to move customers toward zero unplanned downtime.
GE’s digital transformation is not the result of being in the right place at the right time. Instead, it is the result of a structured approach that involved a strong top-down digital vision, capability development, achieving all-round buy-in and a constant focus on innovation.
While many digital natives, from FaceBook to Uber, continue to take much of the limelight, this 120-year-old giant of the corporate world shows that digital agility is not just confined to the new Millennial corporates.
The Digital Transformation Symphony: When IT and Business Play in SyncCapgemini
Digital Masters, such as Starbucks, that leverage digital technologies effectively, differentiate themselves from their peers by consciously striving to build a close relationship between IT and the business. However, Digital Masters are exceptions. The IT-business relationship in most organizations is often a fractious relationship rather than a marriage of equals. Business teams often find the IT department’s high costs and long implementation timelines unacceptable. In addition, IT leaders are often faulted for not speaking the language of business. Leading CIOs take this disconnect head on and try and fix it. Our research shows that leading CIOs take three key actions to align the IT department with the needs of the business: 1. redesign the IT department to unlock digital innovation; 2. create strong digital platforms; 3. rationalize IT Infrastructure to fund digital initiatives. We explore each of these actions in this research paper.
Präsentation über den Nutzen und die Anwendungspotentiale von Enterprise Wikis in Unternehmen anhand von Atlassian Confluence. Einführungsstrategien von Wiki Systemen in Unternehmen.
The ppt describes about the services provided by innominds like mobile enterprise software,application development,independent testing.
website: www.innominds.com
In recent years, enterprise resource planning (ERP) and its business applications have grown and matured dramatically. ERP in 2022 will embrace innovative developments that will offer long-term value for modern systems and businesses that implement it. Let's have a look at the top trends for this year:
BIG DATA has to be the hottest topic in the boardrooms of blue chip companies - organizations with access to vast amounts of data that promises to have a massive impact on their businesses... But if you're not Amazon, Google, Walmart and Tesco what does it mean to your business? What about MOTOR DEALERS for example?
Fujitsu Scanners and Hyland Software Webinar Delivering Automation In The Len...Kevin Neal
This is a presentation on Lending and how document scanning and Enterprise Content Management (ECM) can help improve efficiency and decrease operational costs.
The survival kit for your digital transformationrun_frictionless
To go digital, you need an IT organization, an enterprise architecture, IT processes, and tools that allow for new projects to go live tomorrow instead of next week. The ability to do this will give you a competitive advantage and it will also reduce costs. But how do you get there? This white paper will get you there.
https://runfrictionless.com/b2b-white-paper-service/
Policy Administration Modernization: Four Paths for InsurersCognizant
The pivot to digital is fraught with numerous obstacles but with proper planning and execution, legacy carriers can update their core systems and keep pace with the competition, while proactively addressing customer needs.
The construction industry, which has long been heavily reliant on manual labour, is undergoing digital transformation at an accelerated rate. Here is how the industry is being transformed by technology.
#MaintainMomentum #Construction Industry #Management #Business #ManagementConsulting #ChangeManagement #MaintainMomentum
Going Digital: General Electric and its Digital TransformationCapgemini
How can a company that is over a century old transform itself to thrive in a digital economy?
For GE, responding to change is part of its modus operandi. This is a company that has famously made change a core capability and a constant in its history. For over 120 years, GE has ploughed forward under a banner of “Building, powering, moving and curing the world. Not just imagining. Doing.” This constant focus on innovation and transformation has made the company the only one to still remain in the Dow Jones Industrial Index since the original index was established in 1896.
GE is betting big on software and analytics to bring about its transformation, with Jeff Immelt stating: “I took over an industrial company, now it will be known as an analytics company”. GE’s focus on data analytics was clear back in 2012 when it set aside up to $1.5 billion for small take-overs to boost its presence in analytics. GE currently monitors and analyzes 50 million data elements from 10 million sensors on $1 trillion of managed assets daily to move customers toward zero unplanned downtime.
GE’s digital transformation is not the result of being in the right place at the right time. Instead, it is the result of a structured approach that involved a strong top-down digital vision, capability development, achieving all-round buy-in and a constant focus on innovation.
While many digital natives, from FaceBook to Uber, continue to take much of the limelight, this 120-year-old giant of the corporate world shows that digital agility is not just confined to the new Millennial corporates.
The Digital Transformation Symphony: When IT and Business Play in SyncCapgemini
Digital Masters, such as Starbucks, that leverage digital technologies effectively, differentiate themselves from their peers by consciously striving to build a close relationship between IT and the business. However, Digital Masters are exceptions. The IT-business relationship in most organizations is often a fractious relationship rather than a marriage of equals. Business teams often find the IT department’s high costs and long implementation timelines unacceptable. In addition, IT leaders are often faulted for not speaking the language of business. Leading CIOs take this disconnect head on and try and fix it. Our research shows that leading CIOs take three key actions to align the IT department with the needs of the business: 1. redesign the IT department to unlock digital innovation; 2. create strong digital platforms; 3. rationalize IT Infrastructure to fund digital initiatives. We explore each of these actions in this research paper.
Präsentation über den Nutzen und die Anwendungspotentiale von Enterprise Wikis in Unternehmen anhand von Atlassian Confluence. Einführungsstrategien von Wiki Systemen in Unternehmen.
Kollaboration in Java Projekten - Anspruch und RealitätTorben Knerr
Dieser Vortrag von der JAX 2008 beleuchtet verschiedene Application Lifecycle Management (ALM) Werkzeuge um die Zusammenarbeit in Java Teams zu unterstützen. Die Tools werden nach verschieden Stufen klassifiziert: Von Level 1 (ein wilder Mix aus lose gekoppelten Open Source Lösungen) bis Level 3 (die voll integrierte ALM Plattform) ist alles möglich. Beispielhaft vorgestellt werden: Subversion + Trac + Mylyn, Polarion ALM + FastTrack, Microsoft TFS, Eclipse Jazz / Rational Team Concert
In diesen Slot werden die Best-Pratice der jQuery Plugin-Entwicklung vorgestellt. Wichtig sind hier folgende Punkte:
Lightweight-Plugin Loader
Setzen der Konfiguration
DOM-Bridging
Steuerung eines Plugins per HTML5 "data"-Attribute
Namespacing von Events
Anwendungsfall für Confluence - Team CollaborationCommunardo GmbH
Teams arbeiten auf einer gemeinsamen Plattform kollaborativ zusammen:
Einfaches und schnelles Teilen von Wissen
transparente Kommunikation und übergreifende Zusammenarbeit
Optimale Vernetzung und Auffinden von Experten
>> Fragen Sie uns! http://www.communardo.de/home/atlassian-confluence/
The GTO 2013 focuses on this confluence, which is transforming the way companies deliver millions of systems, software, and services to billions of users. While each technology driver is important when considered individually, this confluence is fueling four “mega-trends” with significant implications for enterprises.
The rapidly shifting technology environment raises serious questions on how to help their companies capitalize on the transformation under way. Advancing technologies and their swift adoption are upending traditional business models. So, today we bring you Five Hottest Tech-Enabled Business Trends in 2017.
Five Converging Forces that Are Driving Technological EvolutionCognizant
The digital era is catalyzing business, unleashing technological change that may appear chaotic on the surface but is resulting in massively powerful systems of intelligence that enable humans and machines to collaborate securely.
Digitalization is the new buzzword, and digital solutions have become the platform for a new generation of Information Technology use cases, architectures and systems. Digital strategies and emerging digital technologies are the basis for disruptive IT innovations that will influence and guide enterprise planners and designers for many years to come. This white paper identifies and introduces the key framework technologies that will push us into the new digital era.
Process oriented architecture for digital transformation 2015Vinay Mummigatti
How the digitally savvy enterprises need to transform their business processes - A paper on architecture and patterns for business and technology audience.
Cyber Versicherung
Philippe Aerni
Head FinPro, Swiss Re Corporate Solutions
Willy D. Stoessel
Head Cyber, Technology & Construction, Swiss Re Corporate Solutions
Überall dort, wo ein Internetanschluss vorhanden ist, gibt es auch ein Risiko. Unabhängig davon, ob sie gross oder klein, öffentlich oder privat ist – fast jede Organisation ist der Gefahr möglicher Schäden durch eine Cyberattacke ausgesetzt. Die meisten von uns werden denken: «Aber die Wahrscheinlichkeit ist doch recht gering.» Tatsächlich ist die Gefahr jedoch sehr real. Umfang und Raffinesse schädlicher Cyberaktivitäten haben erheblich zugenommen, und die Kosten einer Cyberattacke können eine Grössenordnung von Milliarden von US-Dollars erreichen. Wenn das Cyberrisiko nicht aktiv von allen Beteiligten (Unternehmen, Versicherungsträgern, Regierungen und Aufsichtsbehörden) angepackt wird, werden die finanziellen Auswirkungen auf Organisationen weiterhin signifikant sein.
Wir werden eine Einführung in die Versicherungslösungen geben, die derzeit zur Deckung von Risikoexponierungen, die mit dem Cyberspace zusammenhängen, angeboten werden. Wir werden die Herausforderungen skizzieren, mit denen die Versicherungswirtschaft heute angesichts der sich ständig wandelnden Cyberrisikoumgebung konfrontiert wird. Wir werden einige auch in den Medien aufgegriffene Fälle und die Auswirkungen präsentieren, die sie auf eine Versicherungspolice haben. Wir wollen einen Überblick über die derzeitige Zusammenarbeit zwischen IBM und Swiss Re Corporate Solutions geben und die Frage beantworten, wie wir die Zukunft der Cyberversicherung gestalten wollen.
ISDC_2015_Behrang Khorsandian_The business value of social dataIBM Switzerland
Twitter & IBM Partnerschaft
Behrang Khorsandian
European Leader, Social Analytics, IBM Deutschland GmbH
Daten aus sozialen Medien sind noch immer die am meisten unterschätzte Quelle für Einblicke in den Verbrauchermarkt. Herr Khorsandian's Präsentation gibt einen Überblick über die IBM exklusive Partnerschaft mit Twitter, ein soziales Netzwerk mit 250 Millionen aktiven Nutzern im Monat. Darüber hinaus präsentiert er Best Practice Beispiele von führenden Unternehmen um damit das enorme Potenzial sozialer Daten in verschiedenen Unternehmensbereichen, wie HR, Produktentwicklung, Supply Chain Optimierung, bis zum Vertrieb, Marketing und PR aufzuzeigen.
Digital Transformation - Creating new business models where digital meets physical
Glenn Brouwer
Director, Enterprise and Industry Sales – Europe, IBM Netherlands
Individuals and businesses alike are embracing the digital revolution. Social networks and digital devices are being used to engage government, businesses and civil society, as well as friends and family. People are using mobile, interactive tools to determine who to trust, where to go and what to buy.
At the same time, businesses are undertaking their own digital transformations, rethinking what customers value most and creating operating models that take advantage of what's newly possible for competitive differentiation. The challenge for business is how fast and how far to go on their path to digital transformation.
Glenn will share his experience through working with clients how companies are defining new strategies for integrating digital and physical elements to successfully transform their business models and set new directions for entire industries.
Reinventing Customer Experience
Jessica Douglas
Partner, IBM Interactive Experience, Financial Services, Europe
Is your business model fit for the digital future? In most industries, mobile, digital, and social trends are creating competitive pressures from new entrants and challenges to traditional business models. These trends are also creating substantial opportunities for those businesses bold and agile enough to seize them. This session will include case stories where, working with IBM, business and IT leaders have made bold moves. It will consider how these leaders have created new capabilities to shape and deliver simple, relevant and human digital experience for competitive advantage with their customers.
Jessica's focus on Digital Front Office is about creating coherent experiences which work for customers however they engage (mobile, store, call centre, web, kiosk, pop-up). Jessica's work is about creating relevant and timely experience based on rich customer insight. She is motivated by successful implementation and the people and skills aspects of making business change real
ISDC_2015_Samuel Gähwiller_The most innovative Social TV in EuropeIBM Switzerland
Das innovativste social TV Europas
Samuel Gähwiler
Geschäftsführer Joiz Global
Erfolgsfaktoren und Vision, wie wir Digitalisierung von der ersten Minute an addressierten.
2. 2
IBM Research
The 2013 Global Technology Outlook
Since 1982, IBM Research’s worldwide community of top scientists has created the
Global Technology Outlook (GTO). The GTO is a comprehensive analysis that
identifies and evaluates significant, disruptive technology trends that will lead to industry-
changing products and services over a three- to ten-year period. IBM Research considers
the societal and business applications in which these technologies could be used – and the
impact that they will have on IBM and the world. The GTO has a history of influencing
IBM’s business and the Information Technology (IT) industry. In past years it has
predicted such emerging trends as virtual server security, optimized systems, pervasive
connectivity and the rising importance of data and analytics.
In the last half century there have been three major waves of technology that have defined
computing in the enterprise. The advent of the IBM System 360 in the 1960s enabled the
systems management of business processes and so-called “back office” computing. The
birth of the personal computer in the 1980s ushered in client-server computing. In the
1990s and early 2000s, the commercialization of the Internet fueled the growth of the
World Wide Web, revolutionizing culture and helping to create e-business.
Today we have reached a new inflection point and sit on the cusp of a fourth wave. This
wave is characterized by the confluence of social, mobile and cloud technologies, the
rise of Big Data and the new kinds of analytics needed to create value in this
environment. The GTO 2013 focuses on this confluence, which is transforming the
way companies deliver millions of systems, software, and services to billions of users.
While each technology driver is important when considered individually, this
confluence is fueling four “mega-trends” with significant implications for enterprises:
• Growing Scale / Lower Barrier of Entry: A massive expansion in the number of
smart devices, sensors, transactions and users of digital technologies is creating huge
amounts of structured and unstructured data — while the rise of easy-to-use and
affordable programming interfaces is simultaneously lowering the barrier of entry for
companies to create applications and services that derive value from this data.
3. 3
IBM Research
• Increasing Complexity / Yet More Consumable: While the volume, variety,
velocity, and veracity of data is contributing to the increasing complexity of data
management and workloads — creating a greater need for advanced analytics to
discover insights — mobile devices have made technology more consumable, creating
user demand for interactive tools for visual analytics.
• Fast Pace: Change is coming faster than ever — disruptive models for the
development and consumption of technology are emerging to penetrate global
enterprise ecosystems, resulting in rapid innovation and decreased time-to-value.
Open online courses are experiencing exponential growth making education and
training more accessible.
• Contextual Overload: The proliferation of sensors and devices and the explosive
growth in structured and unstructured data are causing information and contextual
overload. With the increasing affordability and sophistication of smart devices, new
opportunities exist to provide contextually aware and personalized services based on
user views, desires, preferences and location, delivered just-in-time.
This report is designed for your organization to benefit from the exploration of these
insights, just as we have at IBM.
Dr. William R. LaFontaine
Vice President, Technical Strategy
IBM Research
Contents
4 Mobile First
5 Scalable Services
Ecosystems
6 Software Defined
Environments
7 Multimedia and Visual
Analytics
9 Contextual Enterprise
11 Personalized Education
12 For more information
4. 4
IBM Research
Mobile First
Introduction: A new inflection point
In the fourth quarter of 2010, for the first time ever, global shipments of smart phones
surpassed desktop personal computers and notebooks. This was an inflection point in
the IT and communications industries, with the mobile device emerging as the new
primary design point for end-user access to information technology. One need look no
further than China, home to the world’s largest population of Internet users, where
more people access the web on mobile phones than on personal computers.
What is Mobile First?
Mobile First is about much more than adding a new access point to view existing
back-end systems and applications. Mobile First is about re-imagining businesses
around constantly connected employees and customers, and creating new ways to
deliver value to customers who are often looking to quickly accomplish a single task and
then move on. Trends like these are often widely seen first in what are primarily
consumer applications — Instagram, for instance, which radically simplified the process
for sharing pictures.
Mobile First is accelerating the integration of cloud, social, and analytics in a way that
requires companies to re-think how value is created within a larger ecosystem. It places
an emphasis on speed — in understanding rapid industry shifts and in creating new
solutions and integration models. It will require companies to redesign their
infrastructure, their service delivery business models, and how individual services can be
used to compose new applications.
Implications for the enterprise
Mobile First service delivery models will span traditional IT services and line-of-business
applications, with a convergence of consumers and enterprise ecosystems. Enterprise app
stores could support numerous industries with companies hosting and delivering
application ecosystems for third-party developers that support service componentization,
application orchestration and distributed service composition. The convergence that
enables consumer access to enterprise data creates an increasing need for enterprise-level
security and control. Security services are needed for secure composition of applications
and services, and for incorporating end-to-end, role-specific security into development,
enterprise catalogs and application runtimes.
What will it take to succeed?
Success in delivering on a Mobile First strategy that achieves differentiation in the
marketplace will require a novel blend of software, hardware and services. The solutions
will need to handle the scale requirements associated with mobile, providing end-to-end
security throughout the Mobile First ecosystem, and integrate a new development
environment to support multiple application development ecosystems.
of large companies are making
their internal line-of-business
applications accessible to
workers on smart phones
and tablets.
There will be more mobile
phones than humans by 2015.
60%
1m
5. 5
IBM Research
Scalable Services Ecosystems (SSE)
Introduction: A disruptive trend breaks through in the enterprise
A few years ago, web services “mash-ups” were the first signs of an entirely new services
economy built on IT. Freely available application programming interfaces (APIs),
openly available data, and a willingness to experiment with non-traditional business
models were among the early drivers of this new paradigm. This trend of rapidly
composed and flexibly managed services is emerging now in the mainstream of
enterprise computing, and the resulting Scalable Services Ecosystems are presenting a
disruptive, fast-changing and agile way of composing business solutions.
What are Scalable Services Ecosystems?
Scalable Services Ecosystems describe open clusters of enterprises, including partners
and value-added firms, where business functions are delivered as API-centric services,
enabling businesses to co-create customer value with speed and agility.
The confluence of social, mobile and cloud is fueling the hyper-growth of a new
business-as-a-service economy where enterprises externalize APIs to their business
processes. Other solution providers easily consume the available APIs to compose and
deliver new business capabilities and solutions and build new business relationships.
APIs have evolved from those supporting services oriented architecture (SOA) and
technologies such as representational state transfer (REST) to permit easy
externalization of core services, causing a disruption to traditional business models and
the IT systems that support them.
Implications for the enterprise
Scalable Services Ecosystems will have profound effects on many industries including
retail, travel and transportation, telecommunications and banking. Using location and
context-enabled social media, organizations will be able to target specific individuals
with custom-tailored offers, often involving partnerships with other firms in retail and
consumer goods. Through open APIs available to affiliate networks and developers,
firms will enable relationships to be forged through in-market experimentation. The
popular APIs and capabilities will be hardened and have the potential to provide both
increased revenue and transactions along with new innovative business models.
What will it take to succeed?
A successful strategy using API-based ecosystems will depend on trusted providers of
value-added services. Open standards-based service fabrics will allow for easy composition,
deployment and management of scalable services through predefined patterns, tools and
analytics. Enterprises will depend on expertise to rapidly identify and externalize targeted
business capabilities and also to compose and consume business services.
Driven by the extreme pace of activity that surrounds the mobile, cloud and social
technologies, client opportunity is presenting itself more and more “on the spot and in
the moment.” The barriers to entry are low, and the level of specialization is high and
getting higher. If an established player isn’t agile and precise in meeting this client need,
someone else will seize the opportunity.
Open APIs will
encourage
experimentation and
collaborative
development
between enterprises
and third parties to
augment and enhance
each other’s value and
dramatically broaden
distribution.
APIs are projected to be
registered by 2020.*
*Analysis from programmableweb.com
registry data. 3Q 2012
300k
6. 6
IBM Research
Software Defined Environments (SDE)
Introduction: Software defined revolution
Cloud computing as currently defined represents only the very early stage of a major
revolution in how information technology systems are architected, developed, deployed
and used. The last few years have seen the emergence of Software Defined Networks
(SDN), Software Defined Storage (SDS) and Software Defined Compute (SDC). SDN
are disrupting traditional switch and router vendors by moving the network control
plane away from the switch to the software for improved programmability, efficiency
and extensibility. SDS is disrupting traditional storage providers by enabling developers
to build their own control software to customize, optimize and integrate off-the-shelf
storage components. SDC automatically selects the best system based upon the
attributes and capabilities needed for the computation.
What are Software Defined Environments?
When the entire infrastructure including compute, storage and network becomes
software defined and programmable in the cloud, a new unified control plane emerges
which is highly configurable and fully programmable with the workloads being
compiled onto it. This is the foundation of Software Defined Environments (SDE).
Two simultaneous phenomena are driving this new environment. First, enterprises are
moving both their mission critical Systems of Record and performance sensitive
applications to the cloud. This is creating the requirement that cloud infrastructures
have the same robust system attributes traditionally associated with enterprise-grade IT:
reliability, availability, scalability and so on. Second, many new mobile, social and
analytics applications — referred to collectively as Systems of Engagement and driven
by the trend toward digitization of the front office — are being directly developed on
the cloud, leveraging the agility that has become the hallmark of cloud-based
environments. This is characterized by a focus on DevOps, mobile and web-centric
platforms, and as-a-service business models.
Implications for the enterprise
As enterprise workloads evolve from being Systems of Record only to dynamic and
volatile Systems of record and engagement, simultaneous achievement of agility and
optimization will be critical. This will be achieved through flexible and scalable
infrastructures with underlying resources that are optimized for performance. As system
infrastructures become more composable, programmable and heterogeneous, an
automated approach to compile workloads has promise to drive optimized outcomes,
increased security and resilience, and an overall reduction in operational expenses.
What will it take to succeed?
Clients should look to Software Defined Environments as a means of achieving a
balanced system that is agile, robust and optimized, and investigate OpenStack as the
industry standard approach to control layer programmability. Open standards are the
path to achieving the benefits of these new environments. They create a level playing
field, prevent vendor lock-in, and lead to modular and flexible approaches to extending
system capabilities and capacities.
IBM has a strategic
commitment to OpenStack, a
cloud operating system that
controls large pools of compute,
storage and networking
resources throughout
a datacenter.
The savings realized over three
years by a major IBM insurance
client after they migrated from
three thousand x86 servers to a
heterogeneous private cloud,
constructed out of IBM Systems
x and z.
$15M
7. 7
IBM Research
Multimedia and Visual Analytics
In recent years, there has been an explosion of multimedia data, accounting for 70% of
available unstructured data. This data comes from sources as varied as security cameras,
medical image applications and individuals uploading media to social networks. In the
past, computers weren’t able to make sense of this data and could only decipher it
through metadata, which had to be manually created by people. However, using
multimedia analytics, companies can begin to make sense of this data at scale and in an
automated fashion.
As data sets become more complex, there is a growing need for visual analytics by both
business and scientific users. The use of visual analytics improves the comprehension,
appreciation and trust in the analytics results and helps improve communication and
collaboration around business insights. Since the tools will become more focused on
domain user needs and less on visualization and analysis experts, the tools must have
high levels of interactivity, simplicity, responsiveness, and collaboration.
What are multimedia and visual analytics?
Multimedia analytics and visual analytics address two emerging needs in analyzing
data. Multimedia analytics is about computers making sense of images and videos,
and being able to extract information and insights from those sources, whereas visual
analytics is about humans using visual interfaces to consume and make sense of
complex data and analytics.
• Multimedia makes up 60% of
internet traffic, 70% of mobile
phone traffic and 70% of
available unstructured data
• 3 billion Facebook photo
uploads are made per month,
or 100 million photos per day
• 72 hours of video are uploaded
to YouTube every minute
• 1 billion medical images are
generated every year
Data
8. 8
IBM Research
Implications for the enterprise
Multimedia analytics has a wide range of potential in industries ranging from insurance
to transportation. Home, auto and marine insurance providers, for example, can
improve their processes by using video from policy holders to document their insured
items and then automatically turns those videos into the basis for appraisals and claims.
In transportation and manufacturing, suspicious activity can be detected and safety
concerns can be identified in real-time using security cameras. This allows companies
to have an integrated view of their operations and perform complex behavior analysis
that has the ability better manage crowd conditions and potentially save lives.
The ability for business users to make sense of complex analytics through visual
interfaces is revolutionizing how decisions are made in a variety of industries. Oil and
gas companies, for example, are using geographical visualizations to increase the success
rate of their drilling and optimize their reservoir production. Doctors are using visual
analytics to analyze patient records to gain insight into treatments plans and understand
the progress of a disease.
What will it take to succeed?
Multimedia analytics will require systems to learn which image features are important
in these different settings and industries, and recognize variations of those features so
they can be properly labeled. Visual analytics will require systems to automatically
determine what to visualize, pick the right visual metaphor based on user context and
show changes over time and uncertainty.
Innovation in four key areas is needed to address visual analytics requirements: visual
comprehension, visualizing aspects of time, visual analytics at scale, and visualizing
uncertainty and predictions. Industries should explore different applications of visual
analytics to their data and use cases, with a view to transform their decision-making
and analytics.
9. 9
IBM Research
Contextual Enterprise
Introduction: How Watson created data
When IBM’s question answer computing system Watson defeated the reigning
champions of the American television quiz program Jeopardy!, viewers were largely
unaware that what they were witnessing was an early example of contextual computing.
Despite being disconnected from the Internet during the contest, Watson’s own feature
extraction and contextualization capabilities created a 10:1 increase in the data and
metadata available for reasoning based solely on connecting the information it had
already learned and drawing context from that data. Contextual computing is the
application of a similar paradigm to every aspect of our daily life.
What is Contextual Enterprise?
Contextual computing is about the relationships between the data, and how different
processes operate on that data and with each other. Data without any context is not only
meaningless, it is worthless.
In a human setting, a social worker faced with a problem family scenario requires much
more context than either taking the situation at face value or the testimony of only one
person involved. That social worker needs to understand the other personalities
involved, existing conditions, previous relationships, and influencing environments
before coming to a useful course of action. As Watson demonstrated by delivering
answers to questions containing the complexities of natural language, contextual
computing replicates these actions using data driven analytics.
The smart devices we carry today are at the center of the social, mobile and cloud
confluence. They carry our personal context in form of our interests, calendars,
contacts, history, preferences and location. As natural aggregators of this data, such
devices could well be used to deliver information to create context applied to
broader applications.
Early contextual computing,
processing natural language.
Watson
• Structured
• Repeatable
• Linear
Data
• Transaction
• Internal app
• Mainframe
• OLTP system
• ERP
Data
Warehouse
Hadoop and
Streams
New
Sources
Traditional
Sources
Enterprise
Integration
and Context
Accumulation
Relationships between people, places, and organizations
provide the context for deeper situational understanding, which
drives better decisions and more effective actions.
Data
• Multimedia
• Web logs
• Social
• Text; emails
• Sensor
• RFID
• Unstructured
• Exploratory
• Dynamic
10. 10
IBM Research
Contextual computing accelerates the detection of complex patterns in both data and
processes through four main activities:
• Gathering: Collecting relevant data from a variety of sources and keeping it as long
as possible.
• Connecting: Extracting features and creating metadata from diverse data sources to
continually build and update context.
• Reasoning: Analyzing data in context to uncover hidden information and find new
relationships. Additional analytics add to context via metadata extraction, and uses
existing context to broaden information exploitation.
• Adapting: Composing recommendations and using context to deliver insights to the
point of action, whether the client is a system or a human decision-maker.
In all four activities, systems continually learn from user behavior and interaction
patterns to enhance the context over time. This wave is now touching enterprise
business processes and making them smarter and more aware
Implications for the enterprise
Clients will soon be able to access more accurate, relevant and insightful data about
their customers, processes and social networks. Given the accelerating trends toward
more open data and more open APIs, business processes are becoming more open and
provide context for the rapid assembly of novel solutions.
What will it take to succeed?
While there has always been context around any business process, it typically has
been captured in a very fixed and rigid fashion. Achieving the full promise of the
contextual enterprise will require innovation to integrate gathering, connecting,
reasoning and adapting.
InternationalDataCorporation
hasestimatedthatspendingon
BigDatatechnologiesand
serviceswillreachalmost$24
billionin2016.*
*gigaom.com, Jan. 8, 2013
$24B
“Data without any
context is not only
meaningless, it is
worthless.”
11. 11
IBM Research
Personalized Education
Introduction: An industry at the brink of transformation
The education industry is at the brink of an IT-enabled transformation. This
transformation is driven by a demand for quality education that outstrips supply especially
in the growth markets, misalignment between education and employment needs, and
impatience with inefficiencies of education systems. For example, the government of
Brazil is already funding students to go abroad because of a shortage of education
infrastructure and quality educators. If growth continues to follow the existing trajectory,
India will need about 800 more traditional universities than current levels today of about
350 universities.
Today, the most talked about application of technology to address these gaps is the
advent of Massive Open Online Courses, or MOOC, which are growing rapidly.
Several startups have emerged including Udacity, Khan Academy and Coursera, with
millions of students enrolled across hundreds of countries. Large amounts of new data
are being created, which thus far is untapped for its potential.
What is Personalized Education
Education today is mainly delivered on a one size fits all basis. This is a key cause of the
poor quality and inefficiencies associated with the industry. Educational institutions can
learn from healthcare by drawing the parallels of doctors to educators, patients to
learners, medicine/treatment to courses/learning, and payers to education loan
providers. From a technology point of view, the use of electronic health data to form
patient records, derive evidence, and provide patient-centric personalized healthcare
can be extended to education, with the formulation of digital student records helping to
inform and provide personalized learning pathways based on the capabilities of the
learner and the desired outcomes.
Implications for the industry
The education industry is ripe for innovation, as new business models are instantiated
on the emerging new sources of data, in particular the longitudinal learning data
(tracking student information over multiple years in multiple schools). Predictive and
prescriptive analytics will be applied to improve outcomes and efficiency. Clustering
learners into groups, assigning new learners to existing clusters, identifying when a
learner is deviating from a particular path are some possible outcomes. Prescriptive
analytics would identify personalized learning pathways, track progress, and provide
feedback to ultimately improve timely graduations and employability. Combined with
industry demand data, supply estimates could be provided and targeted courses created
with intakes tweaked to meet estimated demand.
What will it take to succeed?
Ultimately there are many stakeholders who will be involved in improving education.
This includes academic institutions, state education departments, students, learning
management systems (LMS) and MOOC providers, government social service agencies
and corporations. In order to achieve their often-shared goals, particularly to improve
graduation and employment rates, they’ll need to come together to create an open
platform for sharing this data and insights from the analytics.
The certainty with which
American Public University can
predict whether a student
needs intervention strategies to
avoid dropping out.
80%
• Desire2Learn’s learning
management system program
has more than 8 million
learners spread around more
than 20 countries
• The Qatar Supreme Education
Council uses longitudinal
student data systems to track
lifelong learning for more than
50,000 students across over
100 schools
• The Alabama State Education
Department uses analytics to
aggregate academic,
disciplinary and attendance
data from all school districts
and measure about 150
key metrics