Big Data, Cloud, Smart Mobile And Even AR Morph Into One Mind Boggling Thing

IEEE Talk: Integrated Big Data, The Cloud, & Smart Mobile: Actually One Big Thing

by David Mayes

This IEEE Talk discusses the three biggest trends in online technology and proposes that in fact, they represent one huge integrated trend that is already having a major impact on the way we live, work and think. The 2012 Obama Campaign’s Dashboard mobile application, integrating Big Data, The Cloud, and Smart Mobile is perhaps the most significant example of this trend, combining all three technologies into one big thing. A major shakeout and industry consolidation seems inevitable. Additional developments as diverse as augmented reality, the Internet of Things, Smart Grid, near field communication, mobile payment processing, and location-based services are also considered as linked to this overall trend.

IEEE Talk: Integrated Big Data, The Cloud, & Smart Mobile: Big Deal or Not? from David Mayes

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IEEE Talk: Integrated Big Data, The Cloud, & Smart Mobile: Big Deal or Not? Presentation Transcript

• 1. Big Data, The Cloud, & Smart Mobile: Integrated Big Deal or Not? ©David Mayes 1
• 2. IEEE: UBC Okanagan Wednesday, February 6th, 2013 ©David Mayes 2
• 3. Speaker Introduction IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 3
• 4. David Mayes: LinkedIn Profile: http://www.linkedin.com/in/mayo615 Personal Blog: http://mayo615.com UBC Office: EME 4151 (250) 807-9821 / Hours by appt. Email: david.mayes@ubc.ca mayo0615@gmail.com Mobile: (250) 864-9552 Twitter: @mayo615 Experience: Executive management, access to venture capital, International business development, sales & marketing, entrepreneurial mentorship, technology assessment, strategic planning, renewable energy technology. Intel Corporation (US/Europe/Japan), 01 Computers Group (UK) Ltd, Mobile Data International (Canada/Intl.), Silicon Graphics (US), Sun Microsystems (US), Ascend Communications (US/Intl.), P-Cube (US/Israel/Intl.), Global Internet Group LLP (US/Intl.), New Zealand Trade & Enterprise. IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 4
• 5. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 5
• 6. Some Historical Context IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 6
• 7. Canada’s McLuhan: The First Hint “The new electronic interdependence recreates the world in the image of a global village.” Marshall McLuhan, “Gutenberg Galaxy”, 1962, Canadian author, educator, & philosopher (1911 – 1980) IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? Video: The “McLuhan” Scene from Annie Hall © David Mayes 7
• 8. Stuart Brand, Jobs & Woz: The Whole Earth Catalog IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 8
• 9. Grove, Noyce and Moore IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? “We had no idea at all that we had turned the first stone on something that was going to be an $80 billion business.” -Gordon Moore ©David Mayes 9
• 10. Sir Tim Berners-Lee and Vin Cerf IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 10
• 11. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not?
• 12. The Emergence of SoMoClo IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? Social + Mobile + Cloud ©David Mayes 12
• 13. Emergence of Social Media IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 13
• 14. 2012 Social Media Market Landscape IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 14
• 15. Emergence of “Cloud Computing” IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 15
• 16. Emergence of End-user Cloud Apps IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 16
• 17. 2012 Cloud Enterprise Players IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 17
• 18. The Key Issue: Data Privacy Reliability, and Security Despite reassurances, there is no permanent solution, no silver bullet. The only solution is to unplug IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 18
• 19. Recent Cyber Security News: • Google Chairman, Eric Schmidt’s new book on China: • “the world’s most active and enthusiastic filterer of information” as well as “the most sophisticated and prolific” hacker of foreign companies. In a world that is becoming increasingly digital, the willingness of China’s government and state companies to use cyber crime gives the country an economic and political edge. • NY Times, WSJ hacking last week traced to China • Twitter theft of 250K users personal information last week • Sony PlayStation Anonymous hacks (twice in 2 weeks) IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 19
• 20. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not?
• 21. The Emergence of “Big Data” IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 21
• 22. Emergence of “Big Data” • Major advances in scale and sophistication of government intelligence gathering and analysis • Cost no object • NSA PRISM global telecom surveillance programPost 9/11 World IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 22
• 23. An Interesting Scientific Analogy Chaos, with reference to chaos theory, refers to an apparent lack of order in a system that nevertheless obeys particular laws or rules; this understanding of chaos is synonymous with dynamical instability, a condition discovered by the physicist Henri Poincare in the early 20th century that refers to an inherent lack of predictability in some physical systems. IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 23
• 24. Key Drivers of the Emergence of Big Data • Moore’s Law – compute cost and power • Design rules, multi-core, 3D design • Massive cost decline in data storage • Emergence of solid state memristor • Google Spanner 1st global real-time database • DARPA “Python” programming language • Data Center data storage accumulation • 2.7 zettabytes currently and growing rapidly • A zettabyte equals 1021 bytes (1000 exabytes) IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 24
• 25. The Big Data Landscape Today IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 25
• 26. The Key Issue: Privacy “Get over it! You have no privacy!” Scott McNealy, former CEO of Sun Microsystems IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 26
• 27. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not?
• 28. The Emergence of Smart Mobile IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 28
• 29. Emergence of Smart Mobile IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 29
• 30. Key Drivers of Smart Mobile • Moore’s Law – compute cost and power • Design rules, multi-core, 3D design • Focus on reducing heat: gate leakage • Intel Atom “all day battery life” is a beginning • Massive cost decline in data storage • Mobile bandwidth:4G/LTE “no cost difference” • “White space” metro Wi-Fi potential maybe • New available spectrum between digital TV channels: increased transmit power • PC market death: Dell Computer & HP IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 30
• 31. Mobile-based Services • GPS, Cloud, personal and database info on mobile • Geotagging from current location tied to your objective: • Find merchandise, restaurant, bar, etc. • Find and tag people • Find people with similar interests nearby • The rise of the mobile gaming market • Already well-established in Hong Kong, Seoul • North America far behind Asian telecom markets • Facebook has just announced LBS plans • The downside: battery drain issue still critical • “People want their phones to do too much” • 4G LTE, Wifi, Bluetooth, GPS, Streaming, Mobile Gaming IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 31
• 32. Location-based Services Landscape IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 32
• 33. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not?
• 34. The Convergence of “ToDaClo” Touch + Data + Cloud IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 34
• 35. David Mayes ‹#›
• 36. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not?
• 37. Discussion: Big Data, The Cloud, and Smart Mobile, Big Deal or Not? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 37
• 38. My Key Takeaway Points • Even from the 50,000 foot level, a shakeout and consolidation seem inevitable • A lot of people are going to lose a lot of money • There will be “snake oil” sold that does not work • Nevertheless these three new markets are actually one unified market, and likely: The Next Big Thing IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 38
• 39. What Do You Think? • No. ToDaClo is mostly media hype, and not a “Big Deal.” • I’m skeptical. ToDaClo will probably be a “Big Deal,” but I haven’t seen much yet • Maybe. I do not know yet whether ToDaClo will be a Big Deal • Yes. ToDaClo is a Big Deal and it is already changing our lives IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 39
• 40. Thank You! IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 40
• 41. ©David Mayes 41

 

Integrated Big Data, Cloud, and Smart Mobile: One Big Deal or Not?

IEEE Talk: Integrated Big Data, The Cloud, & Smart Mobile: One Big Deal or Not?

by David Mayes on Jul 10, 2013

This IEEE Talk discusses the three biggest trends in online technology and proposes that in fact, they represent one huge integrated trend that is already having a major impact on the way we live, work and think. The 2012 Obama Campaign’s Dashboard mobile application, integrating Big Data, The Cloud, and Smart Mobile is perhaps the most significant example of this trend, combining all three technologies into one big thing. A major shakeout and industry consolidation seems inevitable. Additional developments as diverse as the Internet of Things, Smart Grid, near field communication, mobile payment processing, and location based services are also considered as linked to this overall trend.

IEEE Talk: Integrated Big Data, The Cloud, & Smart Mobile: Big Deal or Not? from David Mayes

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IEEE Talk: Integrated Big Data, The Cloud, & Smart Mobile: Big Deal or Not? Presentation Transcript

• 1. Big Data, The Cloud, & Smart Mobile: Integrated Big Deal or Not? ©David Mayes 1
• 2. IEEE: UBC Okanagan Wednesday, February 6th, 2013 ©David Mayes 2
• 3. Speaker Introduction IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 3
• 4. David Mayes: LinkedIn Profile: http://www.linkedin.com/in/mayo615 Personal Blog: http://mayo615.com UBC Office: EME 4151 (250) 807-9821 / Hours by appt. Email: david.mayes@ubc.ca mayo0615@gmail.com Mobile: (250) 864-9552 Twitter: @mayo615 Experience: Executive management, access to venture capital, International business development, sales & marketing, entrepreneurial mentorship, technology assessment, strategic planning, renewable energy technology. Intel Corporation (US/Europe/Japan), 01 Computers Group (UK) Ltd, Mobile Data International (Canada/Intl.), Silicon Graphics (US), Sun Microsystems (US), Ascend Communications (US/Intl.), P-Cube (US/Israel/Intl.), Global Internet Group LLP (US/Intl.), New Zealand Trade & Enterprise. IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 4
• 5. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 5
• 6. Some Historical Context IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 6
• 7. Canada’s McLuhan: The First Hint “The new electronic interdependence recreates the world in the image of a global village.” Marshall McLuhan, “Gutenberg Galaxy”, 1962, Canadian author, educator, & philosopher (1911 – 1980) IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? Video: The “McLuhan” Scene from Annie Hall © David Mayes 7
• 8. Stuart Brand, Jobs & Woz: The Whole Earth Catalog IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 8
• 9. Grove, Noyce and Moore IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? “We had no idea at all that we had turned the first stone on something that was going to be an $80 billion business.” -Gordon Moore ©David Mayes 9
• 10. Sir Tim Berners-Lee and Vin Cerf IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 10
• 11. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not?
• 12. The Emergence of SoMoClo IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? Social + Mobile + Cloud ©David Mayes 12
• 13. Emergence of Social Media IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 13
• 14. 2012 Social Media Market Landscape IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 14
• 15. Emergence of “Cloud Computing” IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 15
• 16. Emergence of End-user Cloud Apps IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 16
• 17. 2012 Cloud Enterprise Players IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 17
• 18. The Key Issue: Data Privacy Reliability, and Security Despite reassurances, there is no permanent solution, no silver bullet. The only solution is to unplug IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 18
• 19. Recent Cyber Security News: • Google Chairman, Eric Schmidt’s new book on China: • “the world’s most active and enthusiastic filterer of information” as well as “the most sophisticated and prolific” hacker of foreign companies. In a world that is becoming increasingly digital, the willingness of China’s government and state companies to use cyber crime gives the country an economic and political edge. • NY Times, WSJ hacking last week traced to China • Twitter theft of 250K users personal information last week • Sony PlayStation Anonymous hacks (twice in 2 weeks) IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 19
• 20. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not?
• 21. The Emergence of “Big Data” IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 21
• 22. Emergence of “Big Data” • Major advances in scale and sophistication of government intelligence gathering and analysis • Cost no object • NSA PRISM global telecom surveillance programPost 9/11 World IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 22
• 23. An Interesting Scientific Analogy Chaos, with reference to chaos theory, refers to an apparent lack of order in a system that nevertheless obeys particular laws or rules; this understanding of chaos is synonymous with dynamical instability, a condition discovered by the physicist Henri Poincare in the early 20th century that refers to an inherent lack of predictability in some physical systems. IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 23
• 24. Key Drivers of the Emergence of Big Data • Moore’s Law – compute cost and power • Design rules, multi-core, 3D design • Massive cost decline in data storage • Emergence of solid state memristor • Google Spanner 1st global real-time database • DARPA “Python” programming language • Data Center data storage accumulation • 2.7 zettabytes currently and growing rapidly • A zettabyte equals 1021 bytes (1000 exabytes) IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 24
• 25. The Big Data Landscape Today IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 25
• 26. The Key Issue: Privacy “Get over it! You have no privacy!” Scott McNealy, former CEO of Sun Microsystems IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 26
• 27. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not?
• 28. The Emergence of Smart Mobile IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 28
• 29. Emergence of Smart Mobile IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 29
• 30. Key Drivers of Smart Mobile • Moore’s Law – compute cost and power • Design rules, multi-core, 3D design • Focus on reducing heat: gate leakage • Intel Atom “all day battery life” is a beginning • Massive cost decline in data storage • Mobile bandwidth:4G/LTE “no cost difference” • “White space” metro Wi-Fi potential maybe • New available spectrum between digital TV channels: increased transmit power • PC market death: Dell Computer & HP IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 30
• 31. Mobile-based Services • GPS, Cloud, personal and database info on mobile • Geotagging from current location tied to your objective: • Find merchandise, restaurant, bar, etc. • Find and tag people • Find people with similar interests nearby • The rise of the mobile gaming market • Already well-established in Hong Kong, Seoul • North America far behind Asian telecom markets • Facebook has just announced LBS plans • The downside: battery drain issue still critical • “People want their phones to do too much” • 4G LTE, Wifi, Bluetooth, GPS, Streaming, Mobile Gaming IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 31
• 32. Location-based Services Landscape IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 32
• 33. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not?
• 34. The Convergence of “ToDaClo” Touch + Data + Cloud IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 34
• 35. David Mayes ‹#›
• 36. Agenda • Some Historical Context • The Emergence of SoMoClo • The Emergence of Big Data • The Emergence of Smart Mobile • The Convergence of ToDaClo • What Do You Think? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not?
• 37. Discussion: Big Data, The Cloud, and Smart Mobile, Big Deal or Not? IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 37
• 38. My Key Takeaway Points • Even from the 50,000 foot level, a shakeout and consolidation seem inevitable • A lot of people are going to lose a lot of money • There will be “snake oil” sold that does not work • Nevertheless these three new markets are actually one unified market, and likely: The Next Big Thing IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 38
• 39. What Do You Think? • No. ToDaClo is mostly media hype, and not a “Big Deal.” • I’m skeptical. ToDaClo will probably be a “Big Deal,” but I haven’t seen much yet • Maybe. I do not know yet whether ToDaClo will be a Big Deal • Yes. ToDaClo is a Big Deal and it is already changing our lives IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 39
• 40. Thank You! IEEE UBC Okanagan Big Data, The Cloud, and Smart Mobile: Big Deal or Not? ©David Mayes 40
• 41. ©David Mayes 41

 

Big Data, The Cloud And Smart Mobile Are Actually One Big Thing

ToDaClo is a current buzz word of sorts for “touch-data-cloud,” (or Big Data, The Cloud and Smart Mobile)  which appears to have been coined by a writer for Forbes magazine during a talk in Paris in May 2012.  The speaker declared the death of the previous buzz word, SoLoMo (social-local-mobile). ToDaClo does not seem to have caught on beyond France as most of the writing and blogging about it is in French.  SoLoMo had a following for some time, and even has an online manifesto, vaguely implying location based services, which have been a major mobile feature for some time in Asia, but not here.  I think the bottom line is that both of these acronyms are trying to communicate the concept that Big Data, The Cloud and Smart Mobile are inter-related.  I actually think of them as One Big Thing, even The Next Big Thing, or perhaps “Ne-Bi-Ng”  (Nebing) as some may prefer, though I doubt Nebing will ever catch on.  Sanjay Poonen, President & CEO of SAP also views them as One Big Thing.

Reblogged from Gigaom

The secret to tackling mobile, cloud and big data? Treat them as one.

by Sanjay Poonen

Sanjay Poonen, President & CEO of SAP AG

SUMMARY:It’s no secret that mobile, big data and cloud computing are transforming IT. Sanjay Poonen, president of SAP’s mobile division, says companies need a single unified strategy to tackle them, not three separate ones.

There is widespread agreement—across the globe and in every industry—that mobile, big data, and cloud computing are the three cornerstone issues of tomorrow’s business environment. In fact, a strong organizational response to each of these issues is already critical to competitive survival.

As a result, CIOs, business strategists and IT leaders are working furiously to make sure their businesses have plans in place to stay ahead of these challenges. But there is one subtlety that is frequently overlooked: When it comes to mobile computing, big data and the cloud, what we have is not three problems but one.

Rising in unison

It’s not a coincidence that the profile of these three business challenges rose in parallel. Mobile, big data, and cloud are not siloed concerns easily addressed in isolation. They exist in an overlapping matrix, where the importance of each issue increases because it leverages (or helps solve) an issue raised by one of the others.

For example, in the days before mobile computing, business users typically did all their work using just a handful of applications. Today, the average smartphone has 41 apps installed on it. And each of those applications sparks a need to consider security, since it generates data each and every time it is used. And because these devices are often connected to service provider networks – rather than directly with corporate servers – a great deal of that business app data requires secure cloud storage.

Thus the proliferation of mobile devices exacerbates the big data problem, which in turn precipitates the demand for cloud.

In short, they are all part of a single, converged and symbiotic trend. And to address them optimally requires a holistic perspective on all three.

No bottom in sight

With global demand for mobile computing at the heart of this escalation, it makes sense that IT strategists would be keenly interested in the trend lines for mobile adoption. Today, 87 percent of the world’s population owns a mobile phone; 60 million Android devices were sold in the second quarter of 2012, and now 1 million new Android devices are provisioned daily, according to Google. As of last month, there were likely more smartphones on the planet than humans, according to Cisco.

So the question is whether there is a saturation point on the horizon that could help curb this cloud/mobile/data demand? Surprisingly, no. The average number of mobile devices per employee worldwide has already reached three to five, and adoption rates continue to grow as consumers add tablets and ever-more capable smartphones to their mobile arsenals.

But consumers’ ceaseless enthusiasm for new form factors and functionality is not the whole story behind the world’s bottomless demand for mobility. Today, businesses themselves – rather than consumers – are adding fuel to the fire.

Not just a BYOD issue

As industries finally crest the hump of transforming their workflows to leverage mobile device availability, they drive new demand – not only for mobile devices, but for new scalable infrastructures that deliver more actionable intelligence from their big data.

Finance Consumer banks, operators and retailers are widely deploying mobile commerce capabilities, which, in addition to automating traditional transactions, must include on-demand access to unstructured data, such as check images.

Manufacturing  Mobile devices on the factory floor automate manual processes, thereby feeding more rapid information into the system. This makes it possible to detect and respond early to issues that take a toll on quality or productivity, such as supplier errors.

Retail  Retailers are giving regional store managers mobile app access to daily and even real-time sales performance data on the floor, allowing them to optimize displays and customer service to sell more of the most popular items.

Health care Thanks to new mobile apps and devices, the details of every patient interaction is now entered into the system nearly instantaneously. This provides a basis for a more efficient and orchestrated care response, and in some cases leading to more rapid or accurate diagnoses.

The internet of things

As mobile technology embeds itself into more and more objects, vehicles, buildings, sensors and machines, the heterogeneity of actionable business information will only grow. “Annual global IP traffic will surpass the zettabyte threshold by the end of 2016,” reports Cisco. “In 2016, global IP traffic will reach 1.3 zettabytes per year or 109.5 exabytes per month.” (As we already know, there are currently at least 2.7 zettabytes in storage globally).

Smart equipment and vehicles will upload data to service provider networks as well as private networks, and organizations will need a plan to normalize data in many forms and from many sources. The scalable infrastructures we design today to store and structure such varied data are critical to the enablement of the business innovations we will need in the future.

The effect of this convergence is already apparent, especially in the area of business intelligence. Mobile business intelligence makes it possible for organizations to provide analytics on key performance metrics to a wider variety of employees – not just for executives. Once employees get a taste for how mobile apps fuel greater effectiveness in their job duties, they will push for more dashboards and more data. And these big data stores can’t be undertaken without cloud, to facilitate real-time performance, nor mobile devices and apps, to deliver data into the field where it’s put to good use.

Embracing the Entanglement

The interdependence of mobile, big data and cloud is undeniable, and will only multiply as data growth and mobile use continue. Yet our strategic thinking lags behind the evidence. As we have learned from IT revolutions of the past, a partial strategy is worse than no strategy at all, as you can end up with an inflexible, tactical implementation that requires a ‘rip and replace’ approach.

Organizations that manage to avoid a false start with a siloed strategy will create a network design better aligned with where IT will be in five years. In short, the most successful organizations recognize the secret alliance of mobile, big data and cloud early, and develop a holistic strategy considering all three in concert.

IEEE Seminar, February 6th, 5PM, EME 1151

 

 

IEEE Okanagan Subsection
Presents
Mr. David Mayes
Faculty of Management, Global Internet Group, LLP
Big Data, the Cloud, and Smart Mobile: Big
Deal or Not?
Time & Date: 5pm-6pm, February 6, 2013
Location: EME 1151, UBC Okanagan campus
Talk Abstract: We are hearing regularly in the media about so-called “Big Data.” Is Big Data so
transformational that it will change our everyday lives, or is it just another evolutionary advance
that may improve productivity but not much else? The same arguments may apply to the concept
of “The Cloud,” and “Smart Mobile,” the other two major trends. I say that the three, taken together,
are coalescing into the most important new force in information technology in decades. They will
drive further innovation and productivity enhancements into the foreseeable future. The talk will
explore all three trends and pose questions for the future.
Speaker Biography: Mr. David Mayes is a full-time Lecturer in entrepreneurship, communication,
negotiation, IT and strategic management at The University of British Columbia, Faculty of
Management, and Master’s degree program. Mr. Mayes was founder and spokesperson for the Intel,
Microsoft and Compaq initiative for high speed consumer “universal” DSL Internet access. Mr.
Mayes also led a number of other major industry initiatives: Vendors’ ISDN Association, V.92
modem consortium. Mr. Mayes joined with Microsoft as an author of the IETF security protocol
PPTP (point to point tunneling protocol), creating secure “virtual private networks” across the
Internet. Mr. Mayes formed solar energy company, Sola Renewable Energy Ltd., and was
Executive Director and Chairperson of the Okanagan Environmental Industry Alliance (OEIA),
which works directly with local, regional, provincial and federal Canadian government groups.
Mr. Mayes began his career at Intel Corporation in California, Oregon and Europe. He left Intel
while based at Intel’s European HQ, to form his first entrepreneurial venture, 01 Computers Group
Ltd., based in London. Its corporate clients included the BBC, British Telecom and Imperial
Chemical Industries. Recently, Mr. Mayes was Vice President of Business Development at P-Cube,
iBEAM Broadcasting, and Director of Business Development at Ascend Communications. Mr.
Mayes was directly involved in a variety of multinational venture investments, public, private
mergers, acquisitions, corporate partnerships, and sales, including Ascend’s acquisitions of NetStar
and Cascade Communications.
Pizza and drinks will be provided after the talk. For further information please contact:
Julian Cheng (email: julian.cheng@ubc.ca)

 

Big Data: Big Deal Or Not?

I have been having a spirited marathon debate with a couple of my friends.  Is this alleged new “Big Data thingy” so transformational that it will change our every day lives, or is it just an evolutionary advance that may improve productivity but not much else?  The same arguments may apply to the concept of “The Cloud,” and “Smart Mobile.”  The three, taken together, are coalescing into the major information technology forces that will drive innovation and productivity into the foreseeable future.

PollDaddy: What Is Your Opinion?  Big Data: Big Deal Or Not? Or Comment Below

We are hearing regularly in the media about so-called “Big Data.”  What exactly is Big Data? A number of differing definitions have been offered from a wide range of media sources. ZDNet‘s definition is one of the best I have seen so far.  In essence, big data is about liberating data that is large in volume, broad in variety and high in velocity from multiple sources in order to create efficiencies, develop new products and be more competitive. Forrester puts it succinctly in saying that big data encompasses “techniques and technologies that make capturing value from data at an extreme scale economical”  Prior to the emergence of commercial Big Data, the concept only existed where cost was no object: in the black world of the National Security Administration, and required the largest purpose-built supercomputers in existence.

A zettabyte (symbol ZB, derived from the SI prefix zetta-) is a quantity of information or information storage capacity equal to 10²¹ bytes or 1,000 exabytes (or one sextillion (one long scale trilliard) bytes).^{[1][2][3][4][5]…..I Billion terabytes….Today, you can walk into your local computer store and buy a couple of terabyes for a $100.  Only $500 Million for a zettabyte.  In real terms that is dirt cheap, and getting cheaper daily.   Now that we have that cleared up, we can move to the next level.}

With regard to the obvious issue of personal privacy, the European Union and other organizations have made efforts to protect privacy, with very mixed results.  Other governments, notably China, are aggressively implementing opposite policies to strictly limit privacy.  Highly sophisticated telecommunications equipment has been available for years that enables deep analysis of all of your voice and Internet traffic. We learned this when Dick Cheney secretly set up such equipment to track and record all voice and data traffic in the United States.  The equipment trapped and analyzed all of it in real time. You didn’t notice a thing.  The thing about your personal data is that they already have it. Most of it comes from public sources you authorized.   I not advocating this, I am only the messenger. The founder and former CEO of Sun Microsystems, Scott McNealy famously said, “You have no privacy. Get over it.”  We must not ignore the serious issue of privacy, but the problem is already here and deep data mining is thriving.  Privacy needs a revolution of its own.

The core question then becomes whether Big Data, and for that matter, the Cloud, and Smart Mobile, represent revolutionary and transformational changes in technological capability and also consequentially, human culture, politics: how we conduct ourselves in the World.  Or is it just so many more boring zeros and ones zooming by at the speed of light, stored in chips, and processed by quantum microprocessors?  No big deal, just IT management as normal.  Frankly, this is a significant philosophical question.  For this discussion, we will focus only on Big Data.   Discussion of the Cloud and Smart Mobile will follow later.  My most recent post on Smart Mobile gives a hint of my thoughts:  Mobile Market Share: A War of Titans Worth Following, http://mayo615.com/2013/01/21/mobile-os-market-share-strategy-war-of-the-titans-worth-following/

In fairness, I cut my teeth on Marshall McLuhan‘s ideas while in university in the 1960’s.  In an amazing irony, I soon fell into Intel Corporation at the birth of the microprocessor revolution, and later, I was also present to personally participate in the emergence of the personal computer. My memory of McLuhan kept popping up everywhere.   As my career progressed, I seemed to jump onto each new wave: networking at Sun Microsystems,  then the Internet infrastructure build out explosion with Ascend Communications, and finally a host of new companies, based on Internet-based capabilities.  Through all of it, I could only conclude that somehow McLuhan, like some kind of modern Nostradamus, had foreseen it all.   Most importantly, my own life was transformed by it all, and I saw with my own eyes the massive transformation occurring all around me.

So I have no doubt that Big Data is transforming our lives, and will continue to transform our lives, in ways we cannot yet fully grasp, as I could not grasp McLuhan when I first heard him, or the significance of the Internet as I sat right in the middle of it.

I have previously described Big Data as analogous to the evolution of Chaos Theory.  For centuries, full understanding of the complexity of nature’s designs were thought to be the realm of God, and beyond human comprehension and explanation.  Then in the 1960’s in places like Santa Cruz, California and Germany, the elegant simplicity of a solution to chaos began to emerge.  The massive scale of Big Data is a very similar nut to crack. We are now seeing an elite group of data scientists and mathematicians begin to solve Big Data in a way similar to how chaos was resolved.  Google, Microsoft Bing, Baidu, Yahoo and Amazon are driving the development of these mathematical skill sets.

Last year I showed my UBC Faculty of Management students a YouTube video on Data Mining. In the video, the two Hungarian mathematicians leading a data mining company, described how they had solved hideously complex problems that were previously beyond any computational solution. The key to their success was their ability to extract very precise useful information from extraordinarily large stores of information.  The metaphor here is more like finding a particular grain of sand on a very large beach.  A parallel key factor has been the incessant march of Moore’s Law.  Even 10 years ago, successful data mining on this scale could not have been accomplished. The computational cycles and high speed mass storage were not available or were too expensive.   Today those microprocessor cycles are available.  The costs will continue to plummet, making further advances inevitable. Failure to consider Moore’s Law and available computational cycles has also been the cause of many failed ideas over the years. But the threshold has arrived.

Today, developments like Google Spanner, the largest known database architecture in the World, have joined with the computational solutions.

Unveiled this fall after years of hints and rumors, it’s the first worldwide database worthy of the name — a database designed to seamlessly operate across hundreds of data centers and millions of machines and trillions of rows of information.

Spanner is a creation so large, some have trouble wrapping their heads around it. But the end result is easily explained: With Spanner, Google can offer a web service to a worldwide audience, but still ensure that something happening on the service in one part of the world doesn’t contradict what’s happening in another.

Google’s decision to reveal Spanner has many dimensions.  First, it provides a peek into the black World of the U.S.  National Security Agency and the U.S. Defense Intelligence Agency.  Previously, the existence of such large and sophisticated global databases were only imagined. We now know they exist and are a crucial component of Big Data.

Read more in my post, Google Spanner, the single largest database in the world

http://mayo615.com/2012/11/26/inside-google-spanner-the-single-largest-database-in-the-world/

For me, the most compelling example of how this all works, has been the extremely sophisticated Big Data mining used by the Obama campaign to achieve re-election. As early as March 2012, the Wall Street Journal began reporting about “Dashboard,”  the Obama campaign app that was mining Big Data to find undecided voters in key states.  But not only undecided voters.  Dashboard can key in, find and persuade “Off the Grid” voters.  Off the Grid is the term used to describe those people, such as students and other young people, with constantly changing locations and only a mobile phone.  These voters have historically been virtually impossible to reach.  This short PBS Newshour video below speaks volumes about the extraordinary impact and value of Big Data, not seen before.

Watch How Much Do Digital Campaigns Know About You? on PBS. See more from PBS NewsHour.

The campaign’s hiring of Rayid Ghani, as “chief data scientist,” and an army of data analysts, set the stage for what was to come.  On election night, Mitt Romney and Paul Ryan were absolutely convinced that they had won the election, but were shocked to find otherwise. Working through their disbelief, both candidates later remarked about the enormous voter turnout for Democrats in key locations and the “technology advantage” of the Obama campaign.

So from my years of observation of the march of technology and its impact on my own life, I am convinced that we are entering another transformational period as profound as the emergence of the Internet itself.

I have been repeatedly drawn back to Steve Job’s 2005 Stanford University commencement address, in which he closes with references to Stuart Brand and The Whole Earth Catalog. Stuart Brand is an extraordinary futurist.  One of Ken Kesey’s original Merry Prankster’s chronicled in Tom Wolfe’s book non-fiction novel, The Electric Kool-Aid Acid Test, Brand had been inspired by the legendary first photograph of the entire Earth taken by Apollo 8 astronaut Frank Borman.  Brand is also the founder of The Well,  the very early Sausalito-based Internet Service Provider, who is now considered one of the most important thinkers on human culture, technology and its impacts.  Word of Job’s commencement address spread virally around the Valley...”Did you hear what Job’s said at Stanford today?”    Steve was basically saying that he too understood what McLuhan had said, and that Stuart Brand also understood the transformational importance of the Global Village, by publishing The Whole Earth Catalog.