data related items

Internet Trends 2014 — Mary Meeker [KPCB]

On 05/29/2014, in 21st century, 24x7x365 access, A/V -- audio/visual, Amazon, analytics, Apple, Asia, business, Canada, change, changing business models, cloud-based computing / apps / other cloud-related, collaboration, communications, convergence, corporate / business world, dangers of the status quo, data related items, disruption, emerging technologies, Europe, global / globalization, Google, human-computer interaction (HCI), IBM, innovation, interactivity, internet, marketing/social marketing, marketplaces, mobile technologies, more voice more choice more control, pace of change, platforms, social media, society, strategy, streams of content, technologies for your home, technology (general), telecommunications, television, trends, TVs, UK, United States, user experience (UX), vision/possibilities, web-based collaboration, workplace, youth, by Daniel Christian

Example slides:

MIT Technology Review’s “10 Breakthrough Technologies for 2014”

On 05/14/2014, in Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), biology, collaboration, data related items, emerging technologies, engineering, mobile technologies, research, robotics, technology (general), by Daniel Christian

10 Breakthrough Technologies for 2014 — from MIT Technology Review

Also see:

MIT Lists its 10 Breakthrough Technologies for 2014 – Part 1 — from WFS.org

2 items on Big Data as it applies to learning [Masie & Proulx]

On 04/24/2014, in analytics, corporate / business world, corporate universities / corporate training, data related items, ethics, higher education, online learning, by Daniel Christian

When is Big Learning Data too Big? — from Learning TRENDS by Elliott Masie

Excerpt from Update #822:

1) An interesting question arose in our conversations about Big Learning Data:

When is Big Learning Data too Big?
The question is framed around the ability of an individual or an organization to process really large amounts of data. Can a learning designer or even a learner, “handle” really large amounts of data? When is someone (or even an organization) handicapped by the size, scope and variety of data that is available to reflect learning patterns and outcomes? When do we want a tight summary vs. when we want to see a scattergram of many data points?

As we grow the size, volume and variety of Big Learning Data elements – we will also need to respect the ability (or challenge) of people to process the data. A parent may hear that their kid is a B- in mathematics – and want a lot more data. But, the same parent does not want 1,000 data elements covering 500 sub-competencies. The goal is to find a way to reflect Big Learning Data to an individual in a fashion that enables them to make better sense of the process – and have a “Continuum” that they can move to get more or less data as a situational choice.

Also related, an excerpt from Three Archetypes of the Future Post-Secondary Instructor — from evoLLLution.com by Chris Proulx

The Course Hacker
The last and perhaps most speculative role of the future online instructor will be the person who digs deep into the data that will be available from next generation learning systems to target specific learning interventions to specific students — at scale. The idea of the Course Hacker is based on the emerging role of the Growth Hacker at high-growth web businesses. Mining data from web traffic, social media, email campaigns, etc., the Growth Hacker is constantly iterating a web product or marketing campaign to seek rapid growth in users or revenue. Adapted to online education, the Course Hacker would be a faculty member with strong technical and statistical skills who would study data about which course assets were being used and by whom, which students worked more quickly or slowly, which questions caused the most problems on a quiz, who were the most socially active students in the course, who were the lurkers but getting high marks, etc. Armed with those deep insights, they would be continually adapting course content, providing support and remedial help to targeted students, creating incentives to motivate people past critical blocks in the course, etc.

Added later on:

Ethical Discourse: Guiding the Fuure of Learning Analytics — from educause.edu by James E. Willis, III and Matthew D. Pistilli
Excerpt:

What do the ethical models look like? How are these models deployed rapidly — at the speed of technology? How are these models refined with time? We distilled the group discussions into a series of topics, including student awareness (or lack of awareness) of analytics, future algorithmic science, and the future of learning analytics as defined by business practices, student and faculty access to the data, and a redefinition of failure.

The arguments put forward here often take the form of rhetorical questions; the methodological purpose in presenting the argument in this way is to frame how ethical questioning might guide future developments.

Career alert: A Master of analytics degree is the ticket — if you can get into class — from computerworld.com by Patrick Thibodeau
As demand for data degrees rise, acceptance rates fall

Reflections on “Time to retire from online learning?” [by Tony Bates]

On 04/17/2014, in analytics, Artificial Intelligence/Agents/LLMs/and Related, data related items, distance education, future of higher education, game-changing environment, higher education, MOOCs -- Massive Open Online Courses, online learning, teaching & learning, by Daniel Christian

Time to retire from online learning? – by Tony Bates

Excerpts:

Teaching in higher education is about to go through as major a revolution as one can imagine. This is not going to be easy; indeed it could get brutal.
…
…this is not a profession where you can be half in and half out. Dabbling in online learning is very dangerous (politicians please note).
…
Lastly, I am concerned that the computer scientists seem to be taking over online education. Ivy League MOOCs are being driven mainly by computer scientists, not educators. Politicians are looking to computer science to automate learning in order to save money. Computer scientists have much to offer, but they need more humility and a greater willingness to work with other professionals, such as psychologists and teachers, who understand better how learning operates. This is a battle that has always existed in educational technology, but it’s one I fear the educators are losing. The result could be disastrous, but that’s a theme for a whole set of blog posts.

From DSC:
I am very grateful for Tony’s work! He has helped many, many people develop their own learning ecosystems in a variety of ways throughout these last 45 years. As I, too, am passionate about online learning, I have really appreciated Tony’s insights and writings about topics that related to online and distance learning. I was glad to hear that Tony will continue to write in the future.

What educationally-related affordances might we enjoy from these TV-related developments?

On 04/09/2014, in 21st century, 24x7x365 access, A/V -- audio/visual, active learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, Bring your own device (BYOD), communications, content development, aggregation, repositories, Daniel S. Christian, data related items, digital learning, digital storytelling, digital textbooks, digital video, distance education, e-books, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, experimentation, flipping -- inverted learning, future, human-computer interaction (HCI), innovation, intelligent systems, intelligent tutoring, interaction design, interactivity, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, lifelong learning, media/film, mirroring and/or multiple devices, mobile learning, MOOCs -- Massive Open Online Courses, more voice more choice more control, Near Field Communication (NFC), online learning, online media, online tutoring, participation, personalized/customized learning, platforms, play, professional development, reinvent, second screen apps, social learning / networks, social media, staying relevant, streams of content, student-related, surviving, technologies for your home, telepresence, television, training / L&D, transmedia, trends, TVs, user experience (UX), videoconferencing, virtual field trips, Virtual Reality (VR) / worlds / learning, virtual tutoring, web-based collaboration, workplace, by Daniel Christian

CONTENTS

Content discovery and synchronization
With access to rich data about their subscribers and what they do, operators can improve recommendation, encourage social TV and exploit second screen synchronization.
Recordings get more personal
One of the next big steps in multiscreen TV is giving people access to their personal recordings on every screen. This is the moment for nPVR to finally make its entrance.
Evolving the User Experience
As service providers go beyond household level and address individuals, the role of log-ins or context will become important. There is a place for social TV and big data.
The role of audio in personalization
Audio has a huge impact on how much we enjoy video services. Now it can help to personalize them. ‘Allegiance’ based audio choices are one possibility.
Making advertising more targeted
Addressable advertising is in its infancy but has a bright future, helping to fund the growth of on-demand and multiscreen viewing.

Some excerpts from this report:

Good content should be matched by good content discovery , including recommendations. The current state-of -the-art is defined by Netflix.

…

Today’s TV experience is worlds apart from the one we were talking about even five years ago. We’ve witnessed exponential growth in services such as HD and have moved from a model in which one screen is watched by many, to many screens (and devices) being available to the individual viewer, what is today called TV Everywhere. Having multiscreen access to content is driving the demand for a more personalised experience, in which the viewer can expect to see what they want, where, and when. While video on-demand (VOD) has been a great method for delivering compelling content to viewers, it is not always a truly seamless TV-like experience, and traditionally has been limited to the living room. The growing demand for the personalised experience is driving seismic change within the TV industry, and we’ve seen great strides made already, with time-shifted TV and nPVR as just two examples of how we in the industry can deliver content in the ways viewers want to watch. The next step is to move towards more advanced content discovery, effectively creating a personalised channel or playlist for the individual user.

…

As the tools become available to deliver personalized experiences to consumers, content owners can better create experiences that leverage their content. For example, for sports with multiple points of action, like motor racing, multiple camera angles and audio feeds will allow fans to follow the action that is relevant to their favourite racing team. And for movies, access to additional elements such as director’s commentaries, which have been available on Blu-ray discs for some time, can be made available over broadcast networks.

From DSC:
Some words and phrases that come to my mind:

Personalization.
Data driven.
Content discovery and recommendation engines (which could easily relate to educational playlists)
Training on demand
Learning agents
Web-based learner profiles
Learning hubs
What MOOCs morph into
More choice. More control.
Virtual tutoring
Interactivity and participation
Learning preferences
Lifelong learning
Reinventing oneself
Streams of content
Learning from The Living [Class] Room

Reflections on “IT under pressure: McKinsey Global Survey results” [Khan & Sikes]

On 03/26/2014, in analytics, business, career development, corporate / business world, corporate universities / corporate training, Daniel S. Christian, data related items, game-changing environment, IT in HE, professional development, vision/possibilities, workplace, by Daniel Christian

IT under pressure: McKinsey Global Survey results — from mckinsey.com by Naufal Khan and Johnson Sikes
Recognition of IT’s strategic importance is growing, but so is dissatisfaction with its effectiveness, according to our eighth annual survey on business and technology strategy.

Excerpts (emphasis DSC):

More and more executives are acknowledging the strategic value of IT to their businesses beyond merely cutting costs. But as they focus on and invest in the function’s ability to enable productivity, business efficiency, and product and service innovation, respondents are also homing in on the shortcomings many IT organizations suffer. Among the most substantial challenges are demonstrating effective leadership and finding, developing, and retaining IT talent.

These are among the key findings from our most recent survey on business technology, which asked executives from all functions about their companies’ priorities for, spending on, and satisfaction with IT. Overall, respondents are more negative about IT performance than they were in 2012 and, notably, IT executives judge their own effectiveness more harshly than their business counterparts do. Compared with executives from the business side, they are more than twice as likely to suggest replacing IT management as the best remedy.

From DSC:
It seems to me that an organization or team can’t expect to extract significant value from someone or something that they haven’t cultivated. That is, a sports team shouldn’t expect a player who has sat on the bench most of the year to come in and light the world on fire. That player needs actual time playing in the games/matches/meets/etc. They need experience. They need practice in developing strategy as well as some experiments — to find out what’s working and what’s not.

IT organizations are key these days; and becoming more important in leading the organizations that they function in. It is short-sighted not to develop IT employees in both technical and business-related skills. As our world is increasingly being impacted by technological advances (occurring at exponential — not linear — trajectories), those companies who have leadership from the technical sides of the house should do quite well in the future.

Key items to work on:

Creating tighter integrations with the rest of the business/organization; get more IT-based reps into situations where they can pull up chairs at more business-oriented tables/discussions/projects (product development/R&D, sales, marketing, customer service, other); affect the culture of the organization so that they can actually lead the organization
Develop innovative, strategic thinking — thinking BIG!
Understanding the changing landscapes and what opportunities might exist as a result of those changing landscapes
Ability to develop potential scenarios and form responses to those scenarios
Stop thinking about cutting costs, start using your skills/knowledge to develop new income streams, new products, and new markets! Stop seeing IT departments as cost centers, but rather key revenue generators!
Moving more visionaries and those with the ability to persuade/sell into the IT organization
Create/give IT staff more chances to get in the game!

Regarding the graphic below:

IT-based personnel should be kicking out a lot more new, innovative products and services. That’s where their new/additional value should come from. But that doesn’t seem to be happening.

Why is that? Is the rest of the business so used to looking at IT in certain ways? Does IT have a seat at the senior-most level/table? Are folks in the business listening or even approaching IT for their input? Are some cultural changes necessary?

Also see:

CIO ‘confessions’: 5 critical attributes of the best IT leaders — from hp.com
A new book profiles leading CIOs to learn how they thrive. It’s not about technology—it’s about guts.

What: CIOs are taking on more and more responsibilities, and while technology matters, leadership makes all the difference.
Why: Tech trends come and go, but the challenge of bridging the gap between IT and the business—and demonstrating how IT can deliver real value—remain the heart of the job.
More: Read Confessions of a Successful CIO, set for March 2014 release.

By the way, all of this is true within the world of higher education as well. Consider, for example, the need for IT/technical leadership in the worlds of online learning, blended learning, distance education, as well as in creating new revenue streams based upon technologies and the affordances that these technologies provide.

Also see:

Top 10 Strategic Issues for Boards, 2013-2014 — from The Association of Governing Boards of Universities and Colleges
Excerpt (emphasis DSC):

Those top issues include:

The Revenue Model
Productivity and Efficiency
Student Aid
Educational Delivery
Student Learning
Student Success
Market and Mission
The Academic Workforce
Globalization
Institutional Risk

Top-Ten IT Issues, 2014: Be the Change You See — from educause.edu by Susan Grajek

Excerpt (emphasis DSC):

Improving student outcomes through an institutional approach that strategically leverages technology
Establishing a partnership between IT leadership and institutional leadership to develop a collective understanding of what information technology can deliver
Assisting faculty with the instructional integration of information technology
Developing an IT staffing and organizational model to accommodate the changing IT environment and facilitate openness and agility
Using analytics to help drive critical institutional outcomes
Changing IT funding models to sustain core service, support innovation, and facilitate growth
Addressing access demand and the wireless and device explosion
Sourcing technologies and services at scale to reduce costs (via cloud, greater centralization of institutional IT services and systems, cross-institutional collaborations, and so forth)
Determining the role of online learning and developing a strategy for that role
Implementing risk management and information security practices to protect institutional IT resources/data and respond to regulatory compliance mandates*

Developing an enterprise IT architecture that can respond to changing conditions and new opportunities*

* Tie

Tapping M2M: The Internet of Things [zdnet.com]

On 03/26/2014, in 21st century, 24x7x365 access, analytics, business, change, corporate / business world, data related items, emerging technologies, human-computer interaction (HCI), internet, machine-to-machine communications, mobile technologies, web-based collaboration, workplace, by Daniel Christian

Tapping M2M: The Internet of Things — from zdnet.com

Excerpt:

The rise of objects that connect themselves to the internet — from cars to heart monitors to stoplights — is unleashing a wave of new possibilities for data gathering, predictive analytics, and IT automation. We discuss how to tap these nascent solutions.

Reflections on “I failed my online course — but learned a lot about Internet education” [Larson]

On 03/10/2014, in analytics, Artificial Intelligence/Agents/LLMs/and Related, Daniel S. Christian, data related items, education technology, experimentation, higher education, IBM, innovation, internet, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, MOOCs -- Massive Open Online Courses, by Daniel Christian

I failed my online course — but learned a lot about Internet education — from readwrite.com by Selena Larson (by way of eduwire.com)
Massive open online courses, or “MOOCs,” require a lot of motivation—and sometimes, a thick skin.

Excerpts (comments via DSC):

He provided great insight, paired it with interesting required readings, and led Google Hangouts throughout the course, though only a handful of students were able to participate. Time zone differences and limited space ultimately resulted in a select few students receiving the opportunity to participate in this more intimate online setting.

(From DSC: Last I knew, only 25 students can get into one of these sessions; this seems to be a major mistake to use Google Hangouts if you are talking MOOCs with thousands of students; Coursera should have required that the professor use a different tool.)

…

I’ll admit it: I had minimal motivation. Sure, I didn’t want to waste $49, but I certainly didn’t stay up all night finishing a 600-word essay—the goal of receiving a course completion certificate just wasn’t appealing enough.

…

The quizzes were easy—we were given multiple attempts to get a perfect score—but the essays were a different story. Since the professor was unable to grade them himself, each student was subject to peer reviews—five of them. And each review impacted your grade.

…

I failed my first essay. All but one reviewer gave me a failing grade, for reasons unknown.

…

In true Internet fashion, these peer reviews were totally anonymous. I couldn’t discuss with my reviewer why he or she thought my essay was lousy, and I couldn’t defend my link to Fox News. I felt uncomfortable and powerless. Stupid.

(From DSC: I don’t have a lot of confidence in asking other students, who aren’t trained in teaching/pedagogy/grading, to effectively use rubrics to grade other students’ papers. Though one could turn right around and say that of many faculty members as well, who often lack training in education-related courses. But in the case of professors, they often build up such expertise over time.)

How MOOCs Can Succeed
(from DSC, I’m paraphrasing below)

Get rid of anonymous grading
Get the price point right
(From DSC: This is tough though, as such a figure most likely differs for each student.)

From DSC:
The graphic below attempts to relay the potential power of technologies such as IBM’s Watson in auto-curating content for MOOCs. But there may be other uses for such technologies — such as if these technologies could be used to effectively grade papers, assignments, quizzes, etc. — then today’s MOOCs would be much more effective and would better address one of Selana’s key concerns.

Watson-MOOCs-NewTypesCollaboration-DChristian-2-14-13

IBM teams up with AT&T to rule the Internet of Things [Wheatley]

On 02/20/2014, in analytics, Artificial Intelligence/Agents/LLMs/and Related, cloud-based computing / apps / other cloud-related, collaboration, data related items, experimentation, global / globalization, innovation, internet, technology (general), telecommunications, vendors, by Daniel Christian

IBM teams up with AT&T to rule the Internet of Things — from by Mike Wheatley

Excerpt:

In their joint statement, the two companies said they plan to combine their analytics platforms, cloud and security technologies to build smarter cities for us to live in. Specifically, the partnership will see AT&T manage sensor communications and tracking through its global cellular network, whilst IBM will keep a handle on the analytics side of things. The target of their operations, initially, will be the kinds of devices that spew out masses upon masses of Big Data, such as mass transit vehicles, video cameras and utility meters. The goal of this undertaking meanwhile, is to analyze the data collected to identify trends and patterns that”ll help urban planners to regulate the flow of traffic, and to help utility firms to save energy and reduce costs through better management of their equipment.

AT&T and IBM join forces to deliver new innovations for the Internet of Things — from ibm.com
Cities, Utilities and Other Industries to Benefit from Interconnected, Intelligent Devices

Also see:

Excerpt:

An 80 page eBook, paperback or hardcover photobook including insights, quotes and articles from industry leaders on the future of mobile technology and how it can change our world.

In addition to most of the original Mobile Trends 2020 contributors, the content is now extended with contributions of some 50 new experts from around the globe who are prominent futurists and trend-predictors and industry leaders.

Some items relating to Human Computer Interaction (HCI)

On 01/15/2014, in analytics, Artificial Intelligence/Agents/LLMs/and Related, cloud-based computing / apps / other cloud-related, data related items, engagement / engaging students, experimentation, human-computer interaction (HCI), IBM, innovation, interactivity, Learning from the Living [Class] Room, personalized/customized learning, second screen apps, trends, TVs, user experience (UX), user interface design, vendors, by Daniel Christian

Human Computer Interaction & the next generation of exhibits — from ideum.com by one of my former instructors at SFSU’s Multimedia Studies Program, Mr. Jim Spadacini

Excerpt:

Computer-based technology continues to evolve at an ever-accelerating rate, creating both opportunities and challenges for science centers and museums. We are now seeing computing enter new realms, one that are potentially more promising for exhibit development than earlier ones.

Split screen interactivity and finger motion control on 2014 Samsung Smart TVs — from v-net.tv

Excerpt:

Samsung has made some incremental improvements to its Smart TV platform for 2014. During International CES the company unveiled the Multi-Link feature, which lets you split the screen and use one half to get more information about content you are watching. For example, you can watch live TV on half the screen and get search results from a web browser on the other or seek out relevant YouTube content. In effect, the company is enabling ‘companion’ or Second Screen activities but on the main screen.

Items re: IBM and Watson:

IBM forms new Watson Group to meet growing demand for cognitive innovations — from IBM.com
Headquartered in NYC’s “Silicon Alley,” New IBM Watson Group to Include Watson Innovation Hub, Fueling New Products and Start-ups
Watson Group Introduces New Cloud Solutions to Accelerate Research, Visualize Big Data and Enable Analytics Exploration
.
IBM Watson Group unveils cloud-delivered Watson services to transform industrial R&D, visualize big data insights and fuel analytics exploration — from IBM.com
.
IBM bets big on Watson-branded cognitive computing – from CIO.com
IBM will dedicate a third of its research projects to cognitive computing, IBM execs revealed at the launch of its Watson business unit
.
TED and IBM: Cognitive Computing

FURo-S and also see FutureRobot

Nuance unlocks personalized content for Smart TVs with voice biometrics for Dragon TV — from online.wsj.com

Excerpt:

Nuance Communications, Inc. (NASDAQ: NUAN) today announced that its Dragon TV platform now includes voice biometrics for TVs, set-top boxes and second screen applications, creating an even more personalized TV experience through voice. Upon hearing a person’s unique voice, Dragon TV not only understands what is being said, but authenticates who is saying it, and from there enables personalized content for different members of a household. As a result, individuals can have immediate access to their own preferred channels and content, customized home screens and social media networks.

From DSC:
Re: this last one from Nuance, imagine using this to get rid of the problem/question in online learning — is it really Student A taking that quiz? Also, this type of technology could open up possibilities for personalized playlists/content for each learner.

The year ahead: ten amazing science and technology innovations coming up in 2014 — from telegraph.co.uk by Paul Kendall and Chris Bell
From the world’s largest underground hotel to Star Wars-style holographic communication, the coming year is set to unveil an array of incredible advances in science and technology

Former Windows leader Steven Sinofsky presents 10 Mega Trends in Tech for 2014 — from businessinsider.com by Jay Yarow; via Graeme Codrington (@FuturistGraeme) and Laura Goodrich (@LauraGoodrich)

Top Technology Trends for 2014 — from computer.org
Excerpt:

Supporting New Learning Styles
Online courses demand seamless, ubiquitous approach.

These days, students from all corners of the world can sign up for online classes to study everything from computer science, digital signal processing, and machine learning to European history, psychology, and astronomy–and all for free. As interest in Massive Open Online Courses (MOOCs) continues to explode, there will be a corresponding need for technology to support these new learning systems and styles. Platforms such as Coursera, with more than 3 million users and 107 partners; and edX, a partnership between Massachusetts Institute of Technology and Harvard University with 1.7 million users; are hosting classes with thousands of online enrollees each. And although lectures are still the mainstay of MOOCs, the classes require web forums, online meetups, and keystroke loggers to check identities, as well as powerful servers to handle the volumes. MOOCs and other new online classes are creating a demand for learning that is seamless—happening continuously via different technologies; ubiquitous—drawing from pervasive and embedded technologies; and contextual—drawing awareness from location-based and other sensor-based technologies.

5 Higher-Education Trends for 2014 — from theatlantic.com by Sophie Quinton
Expect an increased emphasis on teacher effectiveness, technical education, and more.

Headings include:

Earning College Credit for What You Know
Career and Technical Education
Student-Loan Outrage
Data-Privacy Concerns
Teacher Effectiveness

Special Report: 2014 Top Tech to Watch — from spectrum.ieee.org

NMC Horizon Report — 2014 Higher Education Preview

JWT’s 100 things to watch in 2014

IBM internal experts club together to offer 2014 predictions — from siliconangle.com by Bert Latamore

Headings include:

Analytics
Cloud
Mobile
Skills

2014 Technology Predictions Series: RadiumOne on Mobile — from siliconangle.com by Suzanne Kattau

Internet of Things may strangle enterprise bandwidth — from informationweek.comby Deepak Kumar
The Internet of Things is poised to bring a flood of WAN traffic and new Internet-enabled devices to enterprise WANs. Be sure your corporate network is ready for it.

7 things you should expect from your leaders in 2014 — from forbes.com by Glenn Llopis

10 Jobs for tomorrow that barely exist today (Infographic) — from jobmarketmonitor.com by Michel Cournoyer and Thomas Frey

Addendum on 1/4/14:

10 Competencies Students Need to Thrive in The Future — from educatorstechnology.com

IDC predicts 2014 will be a year of escalation, consolidation, and innovation as the transition to IT’s “3rd platform” accelerates

On 12/18/2013, in analytics, business, cloud-based computing / apps / other cloud-related, data related items, disruption, future, innovation, IT in HE, platforms, social learning / networks, strategy, tablets, workplace, by Daniel Christian

IDC predicts 2014 will be a year of escalation, consolidation, and innovation as the transition to IT’s “3rd platform” accelerates — from idc.com

Excerpts (emphasis DSC):

The 3rd Platform will deliver the next generation of competitive advantage apps and services that will significantly disrupt market leaders in virtually every industry.
Worldwide IT spending will grow 5% year over year to $2.1 trillion in 2014.
Emerging markets will return to double-digit growth of 10%, driving nearly $740 billion or 35% of worldwide IT revenues
Within the 3rd Platform, value will start to migrate “up the stack”, from infrastructure as a service (IaaS) to platform as a service (PaaS) and from generic PaaS to data-optimized PaaS.
Cloud spending, including cloud services and the technology to enable these services, will surge by 25% in 2014, reaching over $100 billion.

Also see:

What is the 3^rd platform and how will it affect business? — by Mark Neistat US Signal Company

Excerpts (emphasis DSC):

Simply stated, the 3rd Platform is the next phase of the IT revolution. The first platform was the mainframe computer. The second was Personal Computers (PC) which dominated the IT landscape from 1985 to 2005. The 3^rd Platform is being built on mobile computing, social networking, cloud services, and Big Data analytics technologies.

IBM’s 5-in-5: Innovations that will change our lives in the next 5 years

On 12/17/2013, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, business, change, corporate / business world, data related items, emerging technologies, future, health, IBM, marketing/social marketing, society, by Daniel Christian

See also:

IBM’s 5 in 5: In the future, computers will learn — from asmarterplanet.com by Steve Hamm
Personalized learning: In 5 years the classroom will learn you

Primer: Learning Machines — from IBM by Dario Gil

Also see:

‘Classrooms of the future’ and DNA-tailored health care: IBM’s 5-in-5 tech predictions — from ctvnews.ca

Addendum on 12/18/13:

IBM reveals its top five innovation predictions for the next five years — from venturebeat.com by Dean Takahashi

Excerpt:

Globally, two out of three adults haven’t gotten the equivalent of a high school education. But IBM believes the classrooms of the future will give educators the tools to learn about every student, providing them with a tailored curriculum from kindergarten to high school.

“Your teacher spends time getting to know you every year,” Meyerson said. “What if they already knew everything about how you learn?”

In the next five years, IBM believes teachers will use “longitudinal data” such as test scores, attendance, and student behavior on electronic learning platforms — and not just the results of aptitude tests. Sophisticated analytics delivered over the cloud will help teachers make decisions about which students are at risk, their roadblocks, and the way to help them. IBM is working on a research project with the Gwinnett County Public Schools in Georgia, the 14th largest school district in the U.S. with 170,000 students. The goal is to increase the district’s graduation rate. And after a $10 billion investment in analytics, IBM believes it can harness big data to help students out.

“You’ll be able to pick up problems like dyslexia instantly,” Meyerson said. “If a child has extraordinary abilities, they can be recognized. With 30 kids in a class, a teacher cannot do it themselves. This doesn’t replace them. It allows them to be far more effective. Right now, the experience in a big box store doesn’t resemble this, but it will get there.”

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