To Tame the Onslaught of Big Data, Better Drink Your V8. It will make You Healthy, Wealthy and Wise.

Velocity: It determines the speed and efficiency in capture, storage and retrieval of data and often drives performance and availability requirements.
Veracity: This establishes the authenticity of data that is available to perform analytics and to arrive at useful insights. Data veracity shapes the final strategic actions and is dependent on the accuracy of data.
To this list we add Vulnerability. In today’s #mobile era, with a proliferation of numerous access points and devices and a distributed workforce, IT has become even more concerned with data security.
Vulnerability: This establishes how susceptible corporate data assets are to a plethora of possible malicious attacks. Very comprehensive security solutions are needed to protect strategic data assets.

Beyond deploying comprehensive security solutions, to combat all the Big Data challenges listed above, IT should also invest in solutions for:

Visualization: This helps IT Managers better fathom data growth and patterns and produce actionable insights to better optimize their IT environment. Users can also visualize and traverse enormous data quickly – even in real time – to draw actionable insights and steer subsequent analyses for better business outcomes.
Virtualization: This allows the integration of large data volumes with already-stored data to perform new forms of analyses and predictive modeling. All the data is typically stored in a centralized data warehouse that provides storage and integration for multiple data sources. Virtualization offers the right technique for reuse of datasets across multiple applications and improves data management efficiencies.
Finally, IT must enable users and the business to leverage data to create Value.
Value: Enterprises can unlock the business value by leveraging existing data assets to create information, insights, knowledge, and ultimately greater profits. Using advanced software tools and technologies, enterprises can analyze huge amounts of data to reveal unseen patterns, links across various domains to drive new levels of innovation and customer intelligence.
“By drinking this V8”, IT can enable the entire organization to be more resilient; make faster, better and wiser decisions; and transform the business.
 

My Masticating Juicer

Beyond V8: Veni Vidi Vici!

 
But to constantly enhance organizational Vitality, you must “drink fresh V8” and make it an organizational routine. Aged data is like canned juice which often loses many vital nutrients and Vitamins. When my son demands and drinks his fresh apple juice with a twist of ginger and lime from the masticating juicer shown above, he has a sated contended smile on his face. That smile makes all my angst from Big Data and life Vanish!

Are There Too Many Startups?

That was a question put to Albert Wenger, Managing Partner at Union Square Ventures (USV), after his remarks last week at the BMW I Born Electric event. Might this be a fad – like doing a band in the 70s? No, no and no, says Wenger. We’re at the beginning of a transformation as big as the one from agriculture to industrial, he explained. We need a lot of experimentation. Even failures have social benefits in terms of the experience gained in taking risks, making decisions, etc. This can benefit both large and small companies.
And today’s startups have a higher potential for life expectancy. A lot of historical investing was binary, win-lose. Now a small team with low capital expenditures can keep on going even if the business is not really hitting.

A significant outcome of seeing startups from the long-term perspective of sweeping transformation is USV’s “thesis-driven investing” – putting more emphasis on the principles of large-scale change than on traditional investing criteria, like market size, competitive situation, etc. No. 1 among these principles is the insight that networks will replace old hierarchies, with the unbundling of traditional services – single purpose services replacing all-in-one traditional newspapers, for example. Classified ads went to Craig’s List. Commentary went to blogs. Breaking news went to Twitter. People can find the other pieces just one click away, with no need for a single source. All the companies in USVs investment portfolio exemplify this – among them, Lending Club, Pollenware and Edmodo, two in finance, one in education. But no sector will escape. Healthcare and government are just down the line..

In transportation, Wenger sees cars doing three things: delivering transportation on demand, self-expression and fun and alone time. Transportation, in turn, can mean delivering my body from point to point or solving an information problem. Startups like Buzz Car and GetAround are examples of early peer networks that make it unnecessary to control your own car or where it goes. Online shopping and delivery services can replace the need to get information by going to the grocery store.

Of course, as one audience member commented, industries under siege go to the government for help. The hotel industry is opposing Airnb’s travel guides to staying in people’s apartments with regulations against renting out spare rooms. The Taxi & Limousine Commission got a cease-and-desist against Uber, NYC’s on-demand car service. So then we have the inaugural peer network summit in San Francisco. The battle is engaged: yesterday vs. tomorrow!

First cousin to the notion of too many startups is the meme that social media are all frivolous. But social is also becoming the enabling glue for how ideas are shared and funded. Hierarchical research journals and funding processes (NIH) are beginning to lose ground to innovations like Mendeley, a peer-network blog for sharing scientific research, and Kickstarter and others, which are extending their scope to research. A huge flowering of research can be expected as a result

Data Data Everywhere

Like the Ancient Mariner who had ‘water, water everywhere, but not a drop to drink,” we have data, data everywhere, but not the understanding we need about it.

What is it?

 
 
What does “big data” mean? What defines it? Wikipedia focuses on the volume and speed of data. IBM talks about the 4 Vs – volume (size), velocity (how fast it moves), variety (how diverse the ways are that it’s put together), and veracity (the question of what to believe). But that leaves out how complex it is and what you’re doing with it. “Big data’ is more about how you think of the data and its use and the set of skills you have in place to do this.

That’s how it began – a recent panel discussion on Big Data in Healthcare, organized by NYC Health Business Leaders, introduced by Bunny Ellerin and skillfully moderated by Yin Ho, MD, MBA and CEO of Context Matters, Inc. Other speakers were Charles Beever – Partner, Booz & Company; Asaf Evenhaim, CEO, Crossix; Greg Jackson, Chief Data Officer, Everyday Health, and Charlie Schick, Ph.D. - Director, Big Data Solutions, Healthcare and Life Sciences, IBM.

A few takeaways:

  • When we don’t know how to handle something, we give it a name, so we labeled the situation “big data,” but the words do not in fact describe what we mean. What we need to do is figure out is how to use data. That’s the starting point for addressing the “big data” conundrum. Data collection and creation follow the 4 Vs. But the other side of the coin is how you use data and turn it into monetizable opportunities. As the world becomes more digitized, data velocity becomes intense, and creating new ways to use data becomes critical.
  • “Big data’ means pulling multiple sources together and looking at the result. In the old days, we looked at “small data.’ Volume and speed are not good examples. The key is how we understand and go to the next level of how we analyze it. Today we have better data competency, a better understanding of what data is supposed to tell us.
  • Combining data sets used to be difficult. Today, automated systems make data collection easy. The challenge becomes curation, selecting and combining data sets in ways that make sense. Yes and the data has to be accessible. It’s not enough just to capture and store it.
  • Data is like oil. Risky. Hard to extract. But, once refined, valuable. (Courtesy of Charlie Schick!)
How do you differentiate signal from noise?

 
The volume today is too great to eyeball data and find meaning. We need different tools. The kinds of questions we ask about the data haven’t changed. According to Asaf Evenhaim, what’s new is our ability to process the ne volume of data. Visualizations can make the difference. They help us see patterns that show relationships, i.e., the signal within the noise.

With big data, it’s all noise until you find the signal, said Greg Jackson. All of it has value. What you have to do is to discern the hypothesis in order to find the signal. Research used to start with a hypothesis; now we start with data and that drives the hypothesis.

How important is domain knowledge?

 
Domain expertise is crucial to get value from data – to understand the business and have the ability to manipulate the data

Cliff, Cliff on the Hill: Which Emerging Computing Technologies (ECT) to Watch in 2013?

Our best wishes to you, your families and friends for a Happy, Healthy, and Prosperous New Year. Much of 2012 was a stimulating hike through the emerging computing technology (ECT) landscape; with the last month or so being an exciting steep ascent culminating at the ECT Cliff. Our year-end climb started with our participation at the exciting annual <a href=”http://sc12.supercomputing.org/” target=”_blank” rel=”noopener”>Supercomputing 2012</a> event (#SC12) in Salt Lake City in Utah. Then, we attended the annual #IBM Software Analyst Insights conference in Stamford, CT. And finally, we attended the monthly Connecticut Chief Technology Officers (CTO) club in mid-December before winding down for our annual holiday in 2012.

Already, 2013 is shaping to be an exciting year here in Connecticut. Fortunately, we did not fall over the cliff – fiscal or otherwise. It is refreshingly cold and crisp here. And after this morning’s stimulating hike, I pause and reflect on what the hike through ECT landscape in 2013 may look like from the edge of this ECT cliff while relishing a breathtaking view that is truly amazing – gazing at the horizon taking in the first rays emanating from the rising sun. Reflections on what the ECT landscape may look like 2013 are almost as wondrous and awesome as the rising sun. But unlike the sunrise that can be predicted with great accuracy, ECT predictions even for a relatively near-term horizon i.e. only 2013 could be far off-target!
But rather than just provide my undoubtedly biased individual view, I thought, it may be valuable to share what a small group of Southern Connecticut CTOs viewed as key ECT items to watch in 2013.

December 2012 Connecticut CTO Club Meeting Informal Survey – 2013 will be the Year for Analytics!

 
 
At our last CTO club meeting for 2012, we had a vigorous and stimulating discussion on what the group assembled there considered were the key emerging computing technologies to watch in 2013. We put up a list and then this group of about 18 individuals representing technical leaders across various companies – large and small – in southern Connecticut and New York – voted on whether they thought these technologies were Over-Hyped, Under-Hyped, or Just Right.

Some items in the list were broad areas i.e. Storage and Analytics. While others were very specific technologies i.e. Automatic Identification Technologies, Personalized Genomic Testing, and In-Memory Computing. So, there was considerable variance in this list. Nevertheless, being an informal list, it covered considerable ground in the ECT landscape. We even listed broad mature categories like Storage as they have emerging technologies to watch i.e. Solid State Disks, Flash Memory, etc. Clearly, Extreme Low-energy Servers are just emerging as a category. Here are the informal survey results.
 
 
Some key observations from the above chart: The topics most thought were over-hyped were Cloud Computing and Tablets. The ones they thought were most under-hyped was Software-Defined Networks, followed by Dynamic Simulation Models and Automatic Identification Technology, along with Non-Traditional Hardware Architectures (GPU computing and ARM) , Extreme Low-Energy Servers, In-Memory Computing, and the Internet of Things.
When asked what were the technologies that would have the most impact in 2013, Analytics won in a landslide (58% mentioned it). Cloud Computing (35%), Big Data (29%) and BYOD (also 29%) also did well. So perhaps, 2013 will be the year of Analytics!

Greater the Impacts When Several ECT Trends Combine …..

 
 
We are always awed by the potential impact of any one ECT trend, but we become ecstatic when several ECT trends combine together to significantly improve our personal and professional lives….each ray of the rising sun is lovely, but when these rays coalesce and illuminate the vast gorgeous valley below the cliff, that view is breathtakingly stunning!

First, let’s just consider four larger ECT category trends: mobile, cloud, analytics, and social. When mobile and cloud combine, we get the CloudMobile! With Software Everyware and in the CloudMobile we can leverage the power of SocialAnalytics. Next, with a High Performance Computing (HPC) infrastructure, which someone aptly said is constantly emerging, we can support mankind’s ECT journey. And with Storage, Personalized Genomics Testing, and Non-Traditional Hardware Architectures capable of large In-Memory Computing, we could develop Novel Next Generation Genetic Sequencing solutions that could significantly change the Economics of Healthcare!

….. Under the Leadership of Enterprising Individuals

 
 
But we need enterprising doers, managers, and leaders to invent, develop, nurture, evangelize, adopt, and use these Emerging Computing Technologies. In 2012, we have been very fortunate to interact with several enterprising individuals. Clearly, the members of the Connecticut CTO club and the Faculty, Staff and Industry Members of the Wharton Emerging Technology Center are enterprising individuals with a passion for ECT. But I wanted to specifically call out others who we recently met or interacted with at #SC12 or the IBM Software Analyst Insights event. These individuals (doers, managers, and leaders all in one) have enriched our lives with their passion for ECT.

Combining the promise of Big Data with the power of High Performance Computing and Analytics is Gord Sissons, Sr. Marketing Manager at IBM Platform Computing for the IBM Platform Symphony offering. Joe Landman, CEO of Scalable Informatics is pushing the envelope in very high performance storage. Gord and Joe are classic examples of entrepreneurs and technical innovators. Chad Harrington, VP of Marketing at Adaptive Computing – a HPC and Cloud Software Company is a top-notch evangelizer of the business value of ECT as is Karl Freund, VP of Marketing at Calxeda, a company building extreme low-energy servers. Last but not the least is Jim Corgel, General Manager of IBM’s Developer Relations organization. At the IBM Analyst Insights event, I had the unique opportunity to listen to Jim talking about how he plans to expand the very successful IBM Global Entrepreneur Program. While I was definitely in agreement with the content and strategy of Jim’s presentation, I was even more impressed with Jim’s passion and zeal to drive innovation in the partner ecosystem with targeted initiatives around four ECT areas: cloud, social, mobile and analytics. Jim’s body language and presentation exuded the passion and optimism of a doer typically found in technology entrepreneurs and innovators. This, in my opinion, is rare especially given Jim’s immense responsibilities of managing a partner ecosystem worth over tens of billions of dollars to IBM.

2013: The Best Year for Emerging Computing Technologies Yet – Let’s All Smile.

 
 
Despite Connecticut’s (and the entire Tristate area’s) travails with the recent devastation caused by hurricane Sandy and the absolutely horrific shooting in Newtown, CT (this is just a few miles away from my home), 2013 will be good a year. This is almost as definite as tomorrow’s magnificent sunrise – I remember vividly sitting at the deck of my friend’s (Bob DeLuccia – a Biotech entrepreneur himself and now co-founder of DiPexium Pharmaceuticals ) home on the shore at Long Beach Island in New Jersey this past summer discussing how delightful it is to witness the splendor of the rising sun. Fortunately, Bob’s house suffered minimal damage from hurricane Sandy.

Entrepreneurs and the enterprising individuals involved with ECT are, by nature, optimistic. One of the greatest compliments I received, in a prior life as CEO of a startup software company, from our lead investor – just as he was pushing us towards a Chapter 11 bankruptcy – was that I remained optimistic about the immense market potential of our startup’s software technology. That is probably a manifestation of the Karmic values and the Gandhian outlook that were part of my upbringing. Gandhi was clearly a rare transformational leader in a millennium. But almost every day for an hour or so, he as a doer, sat silently and intensely concentrated on his manual task of making cloth with a Spinning Wheel.
Our job, as IT analysts, is to similarly concentrate and meticulously observe with awe and analyze and catalog the wonderful impacts of these marvelous emerging computing technologies in 2013. But nothing makes me more euphoric than to witness one of my twin boy’s mischievous smiles. And when both twin boys smile mischievously together, that euphoria more than doubles!

Ratcheting up the “Flops”, the US regains Supercomputing Leadership. Keep the Innovation Flame on!

This week’s big supercomputing story – It’s Red, White and Blue and … Green too!
 
 
This past Monday (June/17), as I was sitting outside; reading and enjoying the nice sunny weather on the East Coast, I received an email alert that delighted me and put me on a joyous reflective state. At ISC 2012, the Top500 list of supercomputers worldwide firmly established that, after a span of almost three years, the United States has regained that envious and prestigious floating point performance leadership position in supercomputing or High Performance Computing (#HPC) – wresting this away from other world-class manufacturers.

Blue is Green Too!

 
 
The fastest supercomputer in the world is the IBM BlueGene/Q (Sequoia), installed at the Lawrence Livermore National Laboratory, and achieved an impressive 16.32 petaflops/s on the Linpack benchmark using 1,572,864 cores. The BlueGene/Q is also the top system in the Graph500 list, which ranks supercomputers by a data intensive benchmark that mirrors workloads common in graph applications including social networks, cyber security, and medical informatics. And the BlueGene/Q is also the Greenest supercomputer according to the Green500 list that ranks supercomputers by energy-efficiency benchmarks! Moreover, the fastest supercomputer in Europe is the SuperMUC, an IBM iDataplex system installed at the Leibniz-Rechenzentrum in Germany and cooled by warm water.

You can get more details from the Top500, the Green500, and the Graph500 lists of supercomputers. But if you want to truly get a detailed (the what, how and why) perspective on the innovations that underpin these spectacular results, please read our recent papers on the BlueGene/Q and the iDataPlex:
 

  1. IBM Blue Gene/Q: The Most Energy Efficient Green Solution for High Performance Computing
  2. Beyond PetaFlops: Scalable, Energy Efficient IBM System x iDataPlex dx360 M4 powered by Intel Xeon processor E5-2600 Product Family
  3. The IBM System x iDataPlex dx360 M4: Superior Energy Efficiency and Total Cost of Ownership for Petascale Technical Computing

The Eternal Flame of Innovation

 
 
This is a great testament to US innovation in the computer industry. Going forward, one fundamental question/challenge in supercomputer design is; how can we keep heat away and cool these systems to run reliably and efficient as we scale up performance? For this, innovations in cooling technologies, low-power processors, and the rest of the technologies must all come together to build that gigantic jigsaw puzzle – the exascale system! The center of gravity of this pursuit, while historically firmly entrenched in the US since the dawn of the information age, seems to be lately seesawing between the US and Asia. Today, it is in the US. One question is how can the US reinforce and sustain this edge and arrest this seesawing jigsaw?

However, a bigger question is how can the US keep the flame and heat on the escalating tussle for an edge in innovation and on the seesawing race for leadership in today’s global knowledge economy? Today (June/21/2012) this heat is literally on. It is not only the longest day in the northern hemisphere but it is also the hottest day here in Connecticut! The sprint towards exascale is just one proxy for this larger battle.

To win, we must flex our neurons. For this we need relentless focus and continuing investment in education – particularly in math, science, and language. Our teachers are our personal trainers and the classroom is the gym. But beyond, traditional classroom education, we must experiment, constantly learn on the job and not be afraid to make and learn from Brilliant Mistakes. Moving on and learning from these Brilliant Flops (a.k.a. Mistakes) is of greater benefit to innovation than merely ratcheting up the supercomputing Flops! May the Olympic Torch of Innovation continue to shine on the United States!

Even Bigger than the Internet

The cloud is changing everything. The change is even bigger than the change we saw from the Internet. It will change how every business operates. That’s what a cloud computing expert told me – Roger Krakoff, founder and managing partner of Cloud Computing Partners, a venture capital firm that invests exclusively in cloud computing. I didn’t get it. How could this be? Then I had a second conversation with Roger.

An HBR Analytic Services white paper gave me the core of a cloud computing definition I like: “enables access through the Internet to a shared pool of computing resources (hardware, software, etc.) that can be tapped on demand and configured and scaled up or down as needed.” But it stops there. Thanks to Roger I could now add “by any computing device.” That was the missing link. It’s the mobile implications that make cloud computing transformational – not merely evolutionary. Aha!

But then came an e-mail exchange and Roger’s P.S. “better to think of cloud computing as dial-tone or electric power. It is there when you need it. Pay by the unit and it just works.” Bingo! The cloud is the new utility – like electrical power or water or the Internet! One source of its power to transform businesses is what happens when it handles business transactions. And this is already happening in a really big way.

On May 17th, IBM released the following stats about its enterprise SmartCloud services customers: one million enterprise application users working on the IBM Cloud. More than $100 billion in commerce transactions a year in the cloud. 4.5 million daily client transactions conducted through the IBM Cloud. And that’s just one major vendor of cloud services!

What’s more it’s just the beginning. TopCoder, the world’s largest open innovation community, with 400,000 developers is moving to the IBM SmartCloud Enterprise. From this we can expect an exponential increase in innovation, as these developers support the organizations for which they work with the entire innovation process – from ideation, software engineering and analytics to implementation, testing and support.

At YouTube (http://www.youtube.com/ibmcloud) I found the moving story of how the cloud has transformed the Bari fishing industry – and made life better for the fishermen and their families with a new business model. Until recently, the fishermen caught too many fish. They exceeded market demand, Thanks to cloud computing, they can now communicate how many fish they are catching in real time and a virtual market can sell the fish before the boats dock. Now they catch only as many fish as the market consumes, their income is up 25 percent and the time to market is down 70 percent. Wow! That’s innovation that matters!

What Difference Does it Make?

What differences does it make? That’s the first question for every entrepreneur and innovator.

The country – and the world for that matter – is buzzing with new start ups. Most of them will fail of course and it won't matter because most really don’t makd a difference for anyone.

How does your product differentiate itself? That’s what the investor will ask – because being different from other products that serve similar purposes is fundamental to being marketable.

But isn’t it time for new companies and new products to make a difference as well as differentiate? We live in a time when every product category is already saturated with options. That’s why branding has become hot. Creating a distinctive image in the minds of customers is the sine qua non of differentiation. Now some entrepreneurs and innovators are adding an important new dimension to differentiating. They are creating new ways to improve the quality of life.

Arshad Chowdhury did that to create Cleargears, a startup that promises to make a difference for employees of any company sufficiently enlightened to deploy it. What it delivers is a system for real-time performance review by everyone of everyone. Unlike the traditional process – and that hasn’t changed for years – where performance review occurs in huge chunks once a year from the narrow perspective of people at the top, Clearview delivers ongoing feedback in bite-sized chunks from the 360-degree perspective of everyone you work with - anonymously. The vision of Arshad and his early customers alike is that companies can perform better if they help everyone on the team perform better as well

Sandy Heck, MD, is making a difference with Reach Bionics, a start up that is developing technology to help paraplegics wirelessly control electronic devices by activating vestigial muscles around the ears.

Michael Huerta and his partners at BrightPath Energy are making a difference by applying their skills in providing capital and deal infrastructure to the renewable energy sector. One of their first projects is Power.ly, an angel-stage product company that solves cost and logistical problems for remote electricity - such as post-disaster, rural areas, the battlefield, or anywhere the grid is limited – with a truly portable generator that uses solar power.

When I’m lucky enough to discover start ups like these, I hear Stevie Wonder’s lyrics echo in my head: “And I think to myself, what a wonderful world.”

The New News: Vox Populi

  • A new Greenpeace campaign targets Apple’s cloud computing products, as it looks to “clean the cloud around the world.
  • A smooth animation of a timelapse of planet Earth from ‘Electro-L’, a geostationary satellite orbiting 40,000 kilometres above the Earth.
  • A blind-folded guy entertainingly told at his bachelor party that he’s about to bungee-jump 50 feet – only it’s more like 5 feet into a pool of water!
  • Honda’s new ‘UNI-CUB’ personal mobility device.
  • A graphic undercover investigation, by the Humane Society of the United States, into the walking horse industry discovers cases of rampant cruelty.

These are Storyful Daily’s “Five of the best on YouTube” for today. Not exactly “all the news that’s fit to print” or any other major daily’s take on world news, is it?

To the five best on YouTube, Storyful adds its five best in sport, five best in weather and five general stories – Frankfurt protesters, fans mourning the death of disco queen Donna Summer, a PAC plan to attack Obama, the effect of a Twitter hashtag on a Spanish bank and a live-tweeted journey through a region facing a hunger crisis.

It’s the new news from Storyful, the brainchild of an Irish journalist. Storyful’s professional journalists sift “actionable news” from the chaff of the real-time web for use by news organizations throughout the world, acting as a “social media ‘field producer'” and providing an online window into their findings for the general public. For both its media clients and the general public, the result is access to authentic views on recent events or developments and early warnings of what could be big stories to come. It adds a valuable social dimension to what we call “news.”

The New Communication: Electronic, Social & Mobile Media

For some years, I had six phone lines on each of two instruments and a phone at one ear or the other – sometimes both – many hours a day. I also had a third instrument with my private line to be sure I could call out no matter what and certain key people could always reach me.

Now I’m so rarely on the phone that I often don’t even bother to check for voice mail messages. It’s easy to manage with merely one land line phone and a cell phone! Lots of people find all they need is the cell phone.

What happened? We abandoned synchronous communication and gained control of our time. We send and receive text and email messages instead of calling. We also went from long-form to bite-sized messages and, at the same time, to more frequent brief interactions.

Not long after the new communication formats started, social media entered my life – Facebook about 2002, Linked In a few years later and Twitter after that. I have what one friend calls “a robust presence” on all three but spend little time on Facebook, not much more on Twitter and probably the most on Linked In. On Facebook, it’s fun to interact periodically with distant friends at times we’d typically have no communication. On Twitter, it’s helpful to discover and share insights. Linked In has become an invaluable reference tool, only rarely used to communicate, let alone interact, but the only way to reach some people at times. So all three add value for me in different ways. They supplement live interaction uniquely.

Does any of this replace live interaction? No way! My calendar is full - and it's only thanks to email and text messages that I can keep it straight!

Sherry Turkle, social scientist, author and MIT professor, argues that our increasing use of email, text messaging and social media has a negative impact on the social fabric and demonstrates evidence of diminished expectations of our relationships with other people and of a personal power-grab for control of interactions. Bah, humbug!

Any media can of course be used for positive or negative reasons and with varying results. But, in my experience, contrary to Dr. Turkle’s perception, the new ones enrich the social fabric with an infinite number of contact points that have never existed before, they provide the convenience of communication on demand – free of interaction – and they allow each of us to manage our time more productively without losing touch.

The New Advertising: Frictionless Sharing

Privacy – “the ability of an individual or group to seclude themselves or information about themselves and thereby reveal themselves selectively,” according to Wikipedia” – has become a marketable commodity for millions of consumers, it seems. Given the right “value exchange,” these people can cheerfully accept “frictionless sharing” – automated distribution by marketers to their social networks of their personal information and online activities.

What’s the right kind of value exchange That depends on the individual. It can, for example, be as simple as a sense of self-esteem, coupons or a 4Square badge.

It’s typically all ok to the people involved as long as the process is transparent, and they know who’s doing the distribution and trust them. Some consumers actually interact with brand pages on social networks, in effect, broadcasting their endorsement of the brand to whomever.

What are the chances of legislation or FTC regulation? Probably zero. Technology is growing too fast for legislators or regulators to keep up with it. Ultimately, the market self-corrects anyhow. All marketing benefits from frictionless sharing depend on relevant targeting and willing users.

These were my principal takeaways from this morning’s Gotham Media Ventures discussion at Frankfurt Kurnit by Daniel Berkowitz, of 360i; Jordan Franklin, of Clickable; Marc Hayem, of MicroStrategy; Kathy Leake, of Local Response, and Brett Martin of Sonar. Terri Seligman, of Frankfurt Kurnit, was moderator.