The Critical Need to Integrate The Humanities With Deep Technology

After watching “The Great Hack” on Netflix I am appalled by the absence of any moral compass at Cambridge Analytica, which transformed Big Data into a political weapon. Other disturbing examples are Uber’s former corporate culture and Facebook’s collusion with CA in abusing our privacy. These cases are prima facie evidence of the crucial need and the opportunity to integrate the Humanities and ethics with deep technology development. I began my career as a Humanities graduate at Intel Corporation working closely with Ivy League MBA’s and senior engineers. We shared our knowledge and learned together to enable the company to excel. The best companies are those grounded in an appreciation of human values, companies that seek out Humanities graduates with a passion for technology to balance out their teams.


Human Oversight of Deep Technology Development Is Playing Catch-up

Systems Similar To Those In Place for Medical Science Are Urgently Required

 

After watching “The Great Hack” on Netflix I am appalled by the absence of any moral compass at Cambridge Analytica, which transformed Big Data into a political weapon. Other disturbing examples are Uber’s former corporate culture and Facebook’s collusion with CA in abusing our privacy. These cases are prima facie evidence of the crucial need and the opportunity to integrate the Humanities and ethics with deep technology development. I began my career as a Humanities graduate at Intel Corporation working closely with Ivy League MBA’s and senior engineers. We shared our knowledge and learned together to enable the company to excel. The best companies are those grounded in an appreciation of human values, companies that seek out Humanities graduates with a passion for technology to balance out their teams.

After watching “The Great Hack” on Netflix I am appalled by the absence of any moral compass at Cambridge Analytica, which transformed Big Data into a political weapon. Other disturbing examples are Uber’s former corporate culture and Facebook’s collusion with CA in abusing our privacy. These cases are prima facie evidence of the crucial need and the opportunity to integrate the Humanities and ethics with deep technology development. I began my career as a Humanities graduate at Intel Corporation working closely with Ivy League MBA’s and senior engineers. We shared our knowledge and learned together to enable the company to excel. The best companies are those grounded in an appreciation of human values, companies that seek out Humanities graduates with a passion for technology to balance out their teams.

 

Is Facebook Simply Replicating Kenya’s Successful M-Pesa Mobile Payment System?

Since Facebook announced its new Libra currency and mobile payments scheme, the global reaction has been very mixed. Libra is not truly a cryptocurrency though it will use blockchain. It will be pegged to a reserve currency, which cryptocurrencies are not.  Libra will “potentially” be governed by an association independent of Facebook, though that association remains non-binding and sketchy at this point. Potential regulatory issues abound around the World, and Facebook is currently not viewed very favorably by many governments.  But most interesting to me, Libra appears to be modeled after Kenya’s M-Pesa mobile payments system, the world’s leading mobile payments system, invented by mobile carrier Safaricom. Then I asked myself if Facebook, knowing that it needs to move away from selling personal data, has seized on Safaricom’s M-Pesa as its new revenue model. 


Facebook’s Libra and Safaricom’s M-Pesa

Are the similarities mere coincidence and competition, or is a global mega-corporation exploiting a successful Kenyan enterprise without collaboration or compensation?

Since Facebook announced its new Libra currency and mobile payments scheme, the global reaction has been very mixed. Libra is not truly a cryptocurrency though it will use blockchain. It will be pegged to a reserve currency, which cryptocurrencies are not.  Libra will “potentially” be governed by an association independent of Facebook, though that association remains non-binding and sketchy at this point. Potential regulatory issues abound around the World, and Facebook is currently not viewed very favorably by many governments.  But most interesting to me, Libra appears to be modeled after Kenya’s M-Pesa mobile payments system, the world’s leading mobile payments system, invented by mobile carrier Safaricom. Then I asked myself if Facebook, knowing that it needs to move away from selling personal data, has seized on Safaricom’s M-Pesa as its new revenue model. 

More disturbing to me, I asked myself if this might possibly be an example of Western mega-corporate exploitation of a smaller enterprise in the developing world. I have heard no reference whatsoever to M-Pesa from Facebook. In similar situations in high tech, the mega-enterprise would typically acquire the intellectual property of the smaller company, hire its founders and employees to gain market advantage. This is often called an “acqui-hire.” Even without IP, it can be done to simply ensure a positive brand image transaction.

Four years ago, in 2015, Facebook With apparent good intentions, and also a good dose of Facebook business strategy, struck out to promote Free Basics, a free limited Internet for the poor in less developed countries sponsored by Facebook and its local telecommunications partners. India was a prime market focus. While on the face of it Free Basics seemed to have merit, Zuckerberg ran into a wall of opposition. On close inspection of the details, Facebook’s problem, despite all of its global corporate sophistication, appeared to have been naïveté about the foreign markets it was trying to enter. International business is strewn with case studies of corporate arrogance and ignorance that led to failure. Zuckerberg could have looked no further back than 2013 for clues from Google and Eric Schmidt, who also failed in India, as to why Facebook failed. The Indian government viewed both Facebook and Google with the same suspicion that they had for the Raj in 1947.

I do not have all the answers yet about Libra and M-PESA, and other mobile carriers have also entered the mobile payment market, but at this point, I have deep reservations about Facebook’s failure to acknowledge its role and its responsibility to Safaricom and M-PESA. IMHO, questions need to be raised directly to Facebook.

Read more: Facebook’s International Business Blunder: following in the footsteps of Google

A bit of history from The Economist:

Why Does Kenya Lead The World In Mobile Money?

A convergence of factors, some of them accidental, explain Kenya’s lead

Source: Why does Kenya lead the world in mobile money? – The Economist explains

PAYING for a taxi ride using your mobile phone is easier in Nairobi than it is in New York, thanks to Kenya’s world-leading mobile-money system, M-PESA. Launched in 2007 by Safaricom, the country’s largest mobile network operator, it is now used by over 17m Kenyans, equivalent to more than two-thirds of the adult population; around 25% of the country’s gross national product flows through it. M-PESA lets people transfer cash using their phones, and is by far the most successful scheme of its type on earth. Why does Kenya lead the world in mobile money?

M-PESA was originally designed as a system to allow microfinance-loan repayments to be made by phone, reducing the costs associated with handling cash and thus making possible lower interest rates. But after pilot testing, it was broadened to become a general money-transfer scheme. Once you have signed up, you pay money into the system by handing cash to one of Safaricom’s 40,000 agents (typically in a corner shop selling airtime), who credits the money to your M-PESA account. You withdraw money by visiting another agent, who checks that you have sufficient funds before debiting your account and handing over the cash. You can also transfer money to others using a menu on your phone. Cash can thus be sent one place to another more quickly, safely and easily than taking bundles of money in person or asking others to carry it for you. This is particularly useful in a country where many workers in cities send money back home to their families in rural villages. Electronic transfers save people time, freeing them to do other, more productive things instead.

Dozens of mobile-money systems have been launched, so why has Kenya’s been the most successful? It had several factors in its favour, including the exceptionally high cost of sending money by other methods; the dominant market position of Safaricom; the regulator’s initial decision to allow the scheme to proceed on an experimental basis, without formal approval; a clear and effective marketing campaign (“Send money home”); an efficient system to move cash around behind the scenes; and, most intriguingly, the post-election violence in the country in early 2008. M-PESA was used to transfer money to people trapped in Nairobi’s slums at the time, and some Kenyans regarded M-PESA as a safer place to store their money than the banks, which were entangled in ethnic disputes. Having established a base of initial users, M-PESA then benefitted from network effects: the more people who used it, the more it made sense for others to sign up for it.

M-PESA has since been extended to offer loans and savings products, and can also be used to disburse salaries or pay bills, which saves users further time and money (because they do not need to waste hours queuing up at the bank). One study found that in rural Kenyan households that adopted M-PESA, incomes increased by 5-30%. In addition, the availability of a reliable mobile-payments platform has spawned a host of start-ups in Nairobi, whose business models build on M-PESA’s foundations. Mobile-money schemes in other countries, meanwhile, have been held up by opposition from banks and regulators and concerns over money-laundering. But M-PESA is starting to do well in other countries, including Tanzania and Afghanistan, and last month it was launched in India. At the same time, operators in some other countries are doing an increasingly good job of imitating it. Some of the factors behind Kenya’s lead cannot be copied; but many of them can, which means it should eventually be possible for other countries to follow Kenya’s pioneering example.

Huawei Telecom Gear Much More Vulnerable to Hackers Than Rivals’ Equipment – WSJ

A detailed report, prepared by Finite State, a Columbus, Ohio-based cybersecurity firm, concludes that Huawei telecom switching gear is far more vulnerable to hacking than other vendors’ hardware due to firmware flaws and inadvertent “back doors” that were discovered. The report has been circulated widely among cybersecurity experts in the U.S. and UK, and it is considered credible.


“Reminds me of  the 1990’s Microsoft Windows/Internet Explorer Security Issues, Not Stuxnet”

-Mayo615

Source: Huawei Telecom Gear Much More Vulnerable to Hackers Than Rivals’ Equipment, Report Says – WSJ

A detailed report, prepared by Finite State, a Columbus, Ohio-based cybersecurity firm, concludes that Huawei telecom switching gear is far more vulnerable to hacking than other vendors’ hardware due to firmware flaws and inadvertent “back doors” that were discovered. The report has been circulated widely among cybersecurity experts in the U.S. and UK, and it is considered credible. The report stops short of concluding that Huawei deliberately inserted the flaws to enable espionage, as it appears more likely that these are flaws that are due to undetected software development errors. The Trump Administration has nevertheless seized on the report to claim evidence of Chinese espionage intent. The report’s conclusions do offer sound evidence that Huawei gear should not be inserted into telecom systems until these errors are removed.  This reminds me of the time when Microsoft Internet Explorer and Windows were suspected of being serious security risks for having so many security holes.

Huawei Enterprise Network Switch

From the Wall Street Journal:

WASHINGTON—Telecommunications gear made by China’s Huawei Technologies Co. is far more likely to contain flaws that could be leveraged by hackers for malicious use than equipment from rival companies, according to new research by cybersecurity experts that top U.S. officials said appeared credible.

Over half of the nearly 10,000 firmware images encoded into more than 500 variations of enterprise network-equipment devices tested by the researchers contained at least one such exploitable vulnerability, the researchers found. Firmware is the software that powers the hardware components of a computer.

The tests were compiled in a new report that has been submitted in recent weeks to senior officials in multiple government agencies in the U.S. and the U.K., as well as to lawmakers. The report is notable both for its findings and because it is circulating widely among Trump administration officials who said it further validated their policy decisions toward Huawei.

“This report supports our assessment that since 2009, Huawei has maintained covert access to some of the systems it has installed for international customers,” said a White House official who reviewed the findings. “Huawei does not disclose this covert access to customers nor local governments. This covert access enables Huawei to record information and modify databases on those local systems.”

The report, reviewed by The Wall Street Journal, was prepared by Finite State, a Columbus, Ohio-based cybersecurity firm.

While the report documents what it calls extensive cybersecurity flaws found in Huawei gear and a pattern of poor security decisions purportedly made by the firm’s engineers, it stops short of accusing the company of deliberately building weaknesses into its products. It also didn’t directly address U.S. claims that Huawei likely conducts electronic espionage for the Chinese government, which Huawei has long denied.

A Huawei official said the company welcomed independent research that could help improve the security of its products but added he couldn’t comment on specifics in the Finite State report because it wasn’t shared in full with the company.

“Without any details, we cannot comment on the professionalism and robustness of the analysis,” the Huawei official said.

Based in Shenzhen, Huawei is the world’s largest telecommunications equipment provider and a leader in next-generation 5G wireless technology.

Huawei has emerged as a central fixture in the growing rift between the U.S. and China over technology, especially with the approach of 5G cellular technology.

The Commerce Department in May cited national-security concerns when it added the telecommunications giant to its “entity list,” which prevents companies from supplying U.S.-origin technology to Huawei without U.S. government approval.

Finite State Chief Executive Matt Wyckhouse co-founded the firm in 2017, after spending nearly 13 years at nearby Battelle, a private, nonprofit applied-science and technology firm that does work in the private and public sectors.

Mr. Wyckhouse, a computer scientist who worked in Battelle’s national security division handling defense and intelligence-community contracts, said Finite State did the work pro-bono and not on behalf of any government. He also said he felt the best way to make policy makers aware of the issues was to make his firm’s research available to the public. He plans to publish it this week.

“We want 5G to be secure,” Mr. Wyckhouse said.

Finite State said it used proprietary, automated systems to analyze more than 1.5 million unique files embedded within nearly 10,000 firmware images supporting 558 products within Huawei’s enterprise-networking product lines.

The company said the rate of vulnerabilities found in Huawei equipment was far higher than the average found in devices manufactured by its rivals, and that 55% of firmware images tested contained at least one vulnerability—which the authors described as a “potential backdoor”— that could allow an attacker with knowledge of the firmware and a corresponding cryptographic key to log into the device.

The report includes a case study comparing one of Huawei’s high-end network switches against similar devices from Arista Networks andJuniper Networks Inc. It found that Huawei’s device had higher risk factors in six of nine categories, generally by a substantial margin.

“In our experience, across the board, these are the highest numbers we have ever seen,” Mr. Wyckhouse said.

In one instance in the case study, Huawei’s network switch registered a 91% risk percentile for the number of credentials with hard-coded default passwords compared against all of Finite State’s entire firmware data set.

By comparison, the risk level for Arista and Juniper was rated at 0%.

Chris Krebs, the top cybersecurity official at the Department of Homeland Security, said Finite State’s research added to existing concerns about Huawei equipment and the conclusion that the company hasn’t shown the intent or capability to improve its security practices.

“With Huawei having not demonstrated the technical proficiency or the commitment to build, deploy, and maintain trustworthy and secure equipment, magnified by the Chinese government’s potential to influence or compel a company like Huawei to do its bidding, we find it an unacceptable risk to use Huawei equipment today and in the future,” Mr. Krebs said.

White House officials who reviewed the Finite State report said the findings revealed flagrant violations of standard protocols. They said the report’s findings also suggested Huawei may be purposely designing its products to include weaknesses.

For example, some of the vulnerabilities found are well-known cybersecurity problems that aren’t difficult to avoid. Of the devices tested, 29% had at least one default username and password encoded into the firmware which could allow malicious actors easy access to those devices if the credentials were left unchanged, according to the report.

A particularly unusual finding was that security problems became quantifiably worse in at least one instance for users who patched a network switch with an updated version of firmware compared with the two-year-old version being replaced. Patches are intended to reduce cybersecurity weaknesses, but a comparison of the two versions found the newer one performed worse across seven of nine categories measured.

“For years, Huawei has essentially dared the international community to identify the security vulnerabilities that have so often been alleged regarding the use of the company’s products,” said Michael Wessel, a member of the U.S.-China Economic and Security Review Commission, a bipartisan panel that makes recommendations to Congress. “It’s hard to see the range and depth of the vulnerabilities identified by Finite State to be anything other than intentional.”

The U.K.’s National Cyber Security Centre also reviewed the Finite State research, people familiar with the matter said, and found it broadly aligned with the technical analysis in the agency’s own report, published in March. The U.K. report accused Huawei of repeatedly failing to address known security flaws in its products and admonished the firm for failing to demonstrate a commitment to fixing them.

A 2012 U.S. government review of security risks associated with Huawei didn’t find clear evidence that the company was being used by China as a tool for espionage, but concluded its gear presented cybersecurity risks due to the presence of many vulnerabilities that could be leveraged by hackers.

Rep. Mike Gallagher, (R., Wis.), said the report highlights the urgency for members of Congress and others to stop Huawei from taking over the global telecommunications supply chain.

“I’ve long thought we should treat Huawei as an appendage of the Chinese Communist Party,” said Mr. Gallagher, who earlier this year introduced legislation targeting Chinese telecommunications firms. “But even I was taken aback by the scale of the security flaws within Huawei’s network architecture as revealed by the report.”

Mayo615 Has A New Look


Welcome To Mayo615’s New Look

I decided it was time to update the website with a new look. Most importantly, The Mayo615 site now supports Google’s AMP (Accelerated Mobile Pages), an open source initiative, enabling pages to display quickly and optimally on mobile devices. Have a browse and leave me a comment on what you think.

Mayo615’s Odyssey to France: Week 1 Update

Welcome to Mayo615’s Odyssey to France and the first of our Tuesday weekly updates. We invite you to subscribe to our YouTube Channel and follow our weekly updates. In this Week One update we will focus on my first Big Idea, and how I achieved it.  I will also discuss my three most important key takeaways from that experience. We hope that you find this video helpful in achieving your own Big Ideas and goals. So here we go.


Welcome to Mayo615’s Odyssey to France and the first of our Tuesday weekly updates

We invite you to subscribe to our YouTube Channel and to follow our weekly updates

In this Week One update we will focus on my first Big Idea, and how I achieved it.  I will also discuss my three most important key takeaways from that experience. We hope that you find this video helpful in achieving your own Big Ideas and goals. So here we go.

Help Us Return Home to France to Mentor Entrepreneurs: Fundrazr Campaign 🇫🇷

I want to return to France to give back my experience, skills, and technical knowledge to the country of my heritage. France’s industrial economy is in the doldrums, but new policies are stimulating innovation, the key to economic growth and productivity, and technology industry leaders in France with strong technology industry backgrounds are looking to contribute to this new economy in France. I want to join them and give back.


In less than 24 hours since our campaign launch, we are nearing 10% of our goal

 

Link to our FundRazr Campaign: Please Help Us Return to Home to France to Mentor Entrepreneurs/Startups

I am a native-born Californian with French family heritage and a French wife. We are both French citizens preparing to return to France. My university background is in the Humanities and Social Sciences, with a year of graduate study at Oxford University, researching in the Bodleian Library. When I returned to northern California, I eventually landed an entry-level job at Intel Corporation, which proved to be the crucible for my entire career. I eventually rose to be a senior executive in international business development with Intel. I have continued in international business for all of my career, working for a number of tech startups and venture capital investment firms over the years. I have led two tech industry consortia to develop global industry standards. I have been the director of a tech entrepreneurial incubator in Silicon Valley for the government of New Zealand and collaborated on mentoring promising entrepreneurs in locations here and around the world. I was an Adjunct Professor of Management at the University of British Columbia for four years.

I want to return to France to give back my experience, skills, and technical knowledge to the country of my heritage. France’s industrial economy is in the doldrums, but new policies are stimulating innovation, the key to economic growth and productivity, and technology industry leaders in France with strong technology industry backgrounds are looking to contribute to this new economy in France. I want to join them and give back.

I am now semi-retired, but very eager to return permanently to France to donate my technology industry experience and knowledge to assist French entrepreneurs to transform France into an innovation-based economy.

FundRazr Campaign Story:

We are David Mayes and Isabelle Roux-Mayes, a married couple, who are also French citizens. I am also a native Californian who has spent my career working for a number of Silicon Valley companies and investment firms, beginning with Intel Corporation. I am now semi-retired, but very eager to return permanently to France to donate my technology industry experience and knowledge to assist French entrepreneurs to transform France into an innovation-based economy. I am focusing specifically on building working relationships with three major new initiatives that could benefit from my background and achievements:    The Camp in Aix-en-Provence, launched last year, Startup Garage, Paris, and 1kubator in Bourdeaux.

I am more than happy to share my achievements and references to validate my credentials and verify my ability to make a serious contribution. You can start here with my LinkedIn profile and references David Mayes on LinkedIn.  You may also contact me here or on FundRazr where we can discuss my crowdfunding project.

Integration of AI, IoT and Big Data: The Intelligent Assistant

Five years ago, I wrote a post on this blog disparaging the state of the Internet of Things/home automation market as a “Tower of Proprietary Babble.” Vendors of many different home and industrial product offerings were literally speaking different languages, making their products inoperable with other complementary products from other vendors.  The market was being constrained by its immaturity and a failure to grasp the importance of open standards. A 2017 Verizon report concluded that “an absence of industry-wide standards…represented greater than 50% of executives concerns about IoT. Today I can report that finally, the solutions and technologies are beginning to come together, albeit still slowly. 


The Evolution of These Technologies Is Clearer

The IoT Tower of Proprietary Babble Is Slowly Crumbling

The Rise of the Intelligent Assistant

Five years ago, I wrote a post on this blog disparaging the state of the Internet of Things/home automation market as a “Tower of Proprietary Babble.” Vendors of many different home and industrial product offerings were literally speaking different languages, making their products inoperable with other complementary products from other vendors.  The market was being constrained by its immaturity and a failure to grasp the importance of open standards. A 2017 Verizon report concluded that “an absence of industry-wide standards…represented greater than 50% of executives concerns about IoT.” Today I can report that finally, the solutions and technologies are beginning to come together, albeit still slowly. 

 

One of the most important factors influencing these positive developments has been the recognition of the importance of this technology area by major corporate players and a large number of entrepreneurial companies funded by venture investment, as shown in the infographic above. Amazon, for example, announced in October 2018 that it has shipped over 100 Million Echo devices, which effectively combine an intelligent assistant, smart hub, and a large-scale database of information. This does not take into account the dozens of other companies which have launched their own entries. I like to point to Philips Hue as such an example of corporate strategic focus perhaps changing the future corporate prospects of Philips, based in Eindhoven in the Netherlands. I have visited Philips HQ, a company trying to evolve from the incandescent lighting market. Two years ago my wife bought me a Philips Hue WiFi controlled smart lighting starter kit. My initial reaction was disbelief that it would succeed. I am eating crow on that point, as I now control my lighting using Amazon’s Alexa and the Philips Hue smart hub. The rise of the “intelligent assistant” seems to have been a catalyst for growth and convergence. 

The situation with proprietary silos of offerings that do not work well or at all with other offerings is still frustrating, but slowly evolving. Amazon Firestick’s browser is its own awkward “Silk” or alternatively Firefox, but excluding Google’s Chrome for alleged competitive advantage. When I set up my Firestick, I had to ditch Chromecast because I only have so many HDMI ports. Alexa works with Spotify but only in one room as dictated by Spotify. Alexa can play music from Amazon Music or Sirius/XM on all Echo devices without the Spotify limitation. Which brings me to another point of aggravation: alleged Smart TV’s. Not only are they not truly “smart,” they are proprietary silos of their own, so “intelligent assistant” smart hubs do not work with “smart” TV’s. Samsung, for example, has its own competing intelligent assistant, Bixby, so of course, only Bixby can control a Samsung TV. I watched one of those YouTube DIY videos on how you could make your TV work with Alexa using third-party software and remotes. Trust me, you do not want to go there. But cracks are beginning to appear that may lead to a flood of openness. Samsung just announced at CES that beginning in 2019 its Smart TV’s will work with Amazon Echo and Google Home, and that a later software update will likely enable older Samsung TV’s to work with Echo and Home. However, Bixby will still control the remote.  Other TV’s from manufacturers like Sony and LG have worked with intelligent assistants for some time. 

The rise of an Internet of Everything Everywhere, the recognition of the need for greater data communication bandwidth, and battery-free wireless IoT sensors are heating up R&D labs everywhere. Keep in mind that I am focusing on the consumer side, and have not even mentioned the rising demands from industrial applications.  Intel has estimated that autonomous vehicles will transmit up to 4 Terabytes of data daily. AR and VR applications will require similar throughput. Existing wireless data communication technologies, including 5G LTE, cannot address this need. In addition, an exploding need for IoT sensors not connected to an electrical power source will require more work in the area of “energy harvesting.” Energy harvesting began with passive RFID, and by using kinetic, pizeo, and thermoelectric energy and converting it into a battery-free electrical power source for sensors. EnOcean, an entrepreneurial spinoff of Siemens in Munich has pioneered this technology but it is not sufficient for future market requirements.  

Fortunately, work has already begun on both higher throughput wireless data communication using mmWave spectrum, and energy harvesting using radio backscatter, reminiscent of Nikola Tesla’s dream of wireless electrical power distribution. The successful demonstration of these technologies holds the potential to open the door to new IEEE data communication standards that could potentially play a role in ending the Tower of Babble and accelerating the integration of AI, IoT, and Big Data.  Bottom line is that the market and the technology landscape are improving. 

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

My IEEE Talk from 2013 foreshadows the development of current emerging trends in advanced technology, as they appeared at the time. I proposed that in fact, they represent one huge integrated convergence trend that has morphed into something even bigger, and is already having a major impact on the way we live, work, and think. The 2012 Obama campaign’s sophisticated “Dashboard” application is referenced, integrating Big Data, The Cloud, and Smart Mobile was perhaps the most significant example at that time of the combined power of these trends blending into one big thing. 

READ MORE: Blog Post on IoT from July 20, 2013
homeautomation

The term “Internet of Things”  (IoT) is being loosely tossed around in the media.  But what does it mean? It means simply that data communication, like Internet communication, but not necessarily Internet Protocol packets, is emerging for all manner of “things” in the home, in your car, everywhere: light switches, lighting devices, thermostats, door locks, window shades, kitchen appliances, washers & dryers, home audio and video equipment, even pet food dispensers. You get the idea. It has also been called home automation. All of this communication occurs autonomously, without human intervention. The communication can be between and among these devices, so-called machine to machine or M2M communication.  The data communication can also terminate in a compute server where the information can be acted on automatically, or made available to the user to intervene remotely from their smart mobile phone or any other remote Internet-connected device.

Another key concept is the promise of automated energy efficiency, with the introduction of “smart meters” with data communication capability, and also achieved in large commercial structures via the Leadership in Energy & Environmental Design program or LEED.  Some may recall that when Bill Gates built his multi-million dollar mansion on Lake Washington in Seattle, he had “remote control” of his home built into it.  Now, years later, Gates’ original home automation is obsolete.  The dream of home automation has been around for years, with numerous Silicon Valley conferences, and failed startups over the years, and needless to say, home automation went nowhere. But it is this concept of effortless home automation that has been the Holy Grail.

But this is also where the glowing promise of The Internet of Things (IoT) begins to morph into a giant “hairball.”  The term “hairball” was former Sun Microsystems CEO, Scott McNealy‘s favorite term to describe a complicated mess.  In hindsight, the early euphoric days of home automation were plagued by the lack of “convergence.”  I use this term to describe the inability of available technology to meet the market opportunity.  Without convergence, there can be no market opportunity beyond early adopter techno geeks. Today, the convergence problem has finally been eliminated. Moore’s Law and advances in data communication have swept away the convergence problem. But for many years the home automation market was stalled.

Also, as more Internet-connected devices emerged it became apparent that these devices and apps were a hacker’s paradise.  The concept of IoT was being implemented in very naive and immature ways and lacking common industry standards on basic issues: the kinds of things that the IETF and IEEE are famous for.  These vulnerabilities are only now very slowly being resolved, but still in a fragmented ad hoc manner. The central problem has not been addressed due to classic proprietary “not invented here” mindsets.

The problem that is currently the center of this hairball, and from all indications is not likely to be resolved anytime soon.  It is the problem of multiple data communication protocols, many of them effectively proprietary, creating a huge incompatible Tower of Babbling Things.  There is no meaningful industry and market wide consensus on how The Internet of Things should communicate with the rest of the Internet.  Until this happens, there can be no fulfillment of the promise of The Internet of Things. I recently posted Co-opetition: Open Standards Always Win,” which discusses the need for open standards in order for a market to scale up.

Read more: Co-opetition: Open Standards Always Win

A recent ZDNet post explains that home automation currently requires that devices need to be able to connect with “multiple local- and wide-area connectivity options (ZigBee, Wi-Fi, Bluetooth, GSM/GPRS, RFID/NFC, GPS, Ethernet). Along with the ability to connect many different kinds of sensors, this allows devices to be configured for a range of vertical markets.” Huh?  This is the problem in a nutshell. You do not need to be a data communication engineer to get the point.  And this is not even close to a full discussion of the problem.  There are also IoT vendors who believe that consumers should pay them for the ability to connect to their proprietary Cloud. So imagine paying a fee for every protocol or sensor we employ in our homes. That’s a non-starter.

The above laundry list of data communication protocols, does not include the Zigbee “smart meter” communications standards war.  The Zigbee protocol has been around for years, and claims to be an open industry standard, but many do not agree. Zigbee still does not really work, and a new competing smart meter protocol has just entered the picture.  The Bluetooth IEEE 802.15 standard now may be overtaken by a much more powerful 802.15 3a.  Some are asking if 4G LTE, NFC or WiFi may eliminate Bluetooth altogether.   A very cool new technology, energy harvesting, has begun to take off in the home automation market.  The energy harvesting sensors (no batteries) can capture just enough kinetic, peizo or thermoelectric energy to transmit short data communication “telegrams” to an energy harvesting router or server.  The EnOcean Alliance has been formed around a small German company spun off from Siemens, and has attracted many leading companies in building automation. But EnOcean itself has recently published an article in Electronic Design News, announcing that they have a created “middleware” (quote) “…to incorporate battery-less devices into networks based on several different communication standards such as Wi-Fi, GSM, Ethernet/IP, BACnet, LON, KNX or DALI.”  (unquote).  It is apparent that this space remains very confused, crowded and uncertain.  A new Cambridge UK startup, Neul is proposing yet another new IoT approach using the radio spectrum known as “white space,”  becoming available with the transition from analog to digital television.  With this much contention on protocols, there will be nothing but market paralysis.

Is everyone following all of these acronyms and data comm protocols?  There will be a short quiz at the end of this post. (smile)

The advent of IP version 6, strongly supported by Intel and Cisco Systems has created another area of confusion. The problem with IPv6 in the world of The IoT is “too much information” as we say.  Cisco and Intel want to see IPv6 as the one global protocol for every Internet connected device. This is utterly incompatible with energy harvesting, as the tiny amount of harvested energy cannot transmit the very long IPv6 packets. Hence, EnOcean’s middleware, without which their market is essentially constrained.

Then there is the ongoing new standards and upgrade activity in the International Standards Organization (ISO), The Institute of Electrical and Electronics Engineers (IEEE), Special Interest Groups (SIG’s”), none of which seem to be moving toward any ultimate solution to the Tower of Babbling Things problem in The Internet of Things.

The Brave New World of Internet privacy issues relating to this tidal wave of Big Data are not even considered here, and deserve a separate post on the subject.  A recent NBC Technology post has explored many of these issues, while some have suggested we simply need to get over it. We have no privacy.

Read more: Internet of Things pits George Jetson against George Orwell

Stakeholders in The Internet of Things seem not to have learned the repeated lesson of open standards and co-opetition, and are concentrating on proprietary advantage which ensures that this market will not effectively scale anytime in the foreseeable future. Intertwined with the Tower of Babbling Things are the problems of Internet privacy and consumer concerns about wireless communication health & safety issues.  Taken together, this market is not ready for prime time.

 

Updating My Smartphone Market Analysis: The Market Is At A Strategic Inflection Point

NOTE: My original post, originally published in January 2013, continues to be one of the most viewed on the site.  Android and Apple have enjoyed an estimated 98% market share between the two, and many of my earlier projections regarding this market appear to have been borne out. However, the smartphone market has now matured to the point that it is at a strategic inflection point which has major implications for the future of this market and the major competitors. The rapid maturation of the smartphone market should have been foreseen: the rise of domestic Chinese competition combined with the predictable end of the Western consumer fascination with “the next smartphone”


NOTE: My original post, originally published in January 2013, continues to be one of the most viewed on the site.  Android and Apple have enjoyed an estimated 98% market share between the two, and many of my earlier projections regarding this market appear to have been borne out. However, the smartphone market has now matured to the point that it is at a strategic inflection point which has major implications for the future of this market and the major competitors. 

The Rapid Maturation of the Smartphone Market Should Have Been Foreseen

The signs of a dangerous strategic inflection point in the global smartphone market have been evident for some time: the rapid rise of domestic Chinese competition combined with the predictable end of the Western consumer fascination with “the next smartphone.” Five years ago, Samsung Electronics, the South Korean technology giant sat atop the Chinese market, selling nearly one of every five devices there. Today, Samsung is an also-ran, controlling less than 1% of the world’s largest smartphone market. Samsung has trimmed local staff and last month closed one of its two Chinese smartphone factories.  Surely, Apple must have been aware of this and the growing number of much lower cost domestic Chinese competitors that were already hammering Samsung.  Apple’s release of a lower cost iPhone, the XR, in Asia in October 2018 appears to have been a case of too little too late. Sales of the device have been disappointing in both Japan and China, and Apple has been relegated to offering “trade-ins” to camouflage slashing the price of the XR.  Apple had ample warning over at least a five year period.

Meanwhile, I sensed a very different kind of maturation of the smartphone market in North America and Europe. In what I like to call the smartphone market “Star Wars” phenomenon, each new generation of smartphones was greeted with a hysteria that was only paralleled by the Star Wars craze. This simply could not continue indefinitely.  Beginning in 2017 it was apparent the smartphone market as a whole was already shrinking, and there was significant anecdotal information in the media that smartphone hysteria was waning, if not publicly available hard data. I began having discussions about this with Tim Bajarin, one of the top Apple analysts.  As Apple moved to launch the iPhone X and broke the $1000 price point barrier it encountered clear if perhaps not overwhelming evidence that the smartphone market was softening: more people chose not to upgrade their phones. I like to say that the last major feature consumers seemed to want/need was water resistance, as so many had already experienced the disastrous “toilet drop.”  I view the Bluetooth earbud phenomenon as a distraction and perhaps a hint of the coming change. Samsung flirted with water resistance as early as the Samsung Galaxy S5, perhaps because water resistance had become a standard feature in the Japanese market. By 2018, water resistance was standardized, and the market began experimenting with “the next big thing” for phones, folding screens. WTF? It was clear to me that the smartphone market had run out of gas, and was undergoing rapid maturation, as phones were no longer fascinating and novel, but just simply commodity devices.

To my mind, and IMHO, this has been a case study in a classic “strategic inflection point” that was missed by both Samsung and Apple. Samsung might be forgiven for being the first to cross into the inflection point, while the media was still promoting “the next smartphone” hysteria, and not yet recognizing the sense of the market. Apple has no such excuse. The rapid maturation of the smartphone market should have been foreseen by Apple. Apple’s most disturbing move was the decision to increase pricing rather than delivering greater value, at exactly the wrong time. The crucial rhetorical question is what are the larger implications for Apple’s future business?

READ MORE:  Apple Beware: Samsung’s Fall in China Was Swift 

READ MORE: Samsung Profit Outlook Surprisingly Weak

 

Vendor Data Overview

Smartphone vendors shipped a total of 355.6 million units worldwide during the third quarter of 2018 (Q3 2018), resulting in a 5.9% decline when compared to the 377.8 million units shipped in the third quarter of 2017. The drop marks the fourth consecutive quarter of year-over-year declines for the global smartphone market. 

Smartphone Vendor Market Share

Quarter 2017Q1 2017Q2 2017Q3 2017Q4 2018Q1 2018Q2 2018Q3
Samsung 23,2% 22,9% 22,1% 18,9% 23,5% 21,0% 20,3%
Huawei 10,0% 11,0% 10,4% 10,7% 11,8% 15,9% 14,6%
Apple 14,7% 11,8% 12,4% 19,6% 15,7% 12,1% 13,2%
Xiaomi 4,3% 6,2% 7,5% 7,1% 8,4% 9,5% 9,5%
OPPO 7,5% 8,0% 8,1% 6,9% 7,4% 8,6% 8,4%
Others 40,2% 40,1% 39,6% 36,8% 33,2% 32,9% 33,9%
TOTAL 100,0% 100,0% 100,0% 100,0% 100,0% 100,0% 100,0%

 

 

 

Global Mobile

2009 to 2012

In one of the most interesting high tech scenarios in years, the “smart mobile” OS (operating system) market is shaping up to be a classic Battle of the Titans. Key strategic issues, theories, speculation, and money, lots of it, are making this a great real-time strategy and marketing case study for management students of all ages (smile).  So as Dell prepares to fade into the sunset, get yourself a drink of your choice, and some popcorn, sit back and watch it all unfold.

The best metaphor I can apply to this might be a “destruction derby” featuring at least two players,  or perhaps a bizarre multidimensional Super Bowl or Rugby World Cup match, with four teams on one playing field with four goal posts at each cardinal point of the compass..  At the moment all four teams are tackling, passing, and running at each other in a confused pile. There are scrums, rucks and mauls in multiple locations. Two competitors, Google and Apple appear to be winning. The other two, Microsoft and Research in Motion, are pretty banged up, but still playing.

The two currently dominant competitors, Google Android with its acquisition of Motorola Mobility, and Apple IOS are rapidly consolidating and expanding their global market positions, via partnerships, vertical integration, and application development ecosystems. Microsoft has publicly committed to spending massively to make Windows 8 the third OS option, but a recent IDC mobile OS market forecast projects Microsoft with only a miniscule share in 2015.  Something tells me that Steve Ballmer will go on a rampage if that happens, rather like the video of him screaming and dancing on stage in my post “Extrovert or Introvert, Authentic Presentations Take Practice,” November 30th. http://mayo615.com/2012/11/30/introvert-or-extrovert-authentic-presentations-take-practice/

The key question is whether Microsoft or RIM, will be able to establish a third mobile OS to a survivable market position.  It is not at all clear that either can do so at this point.  The market is also speculating that mobile hardware market leader Samsung, is possibly considering making its own play by creating its own mobile OS ecosystem.  While this may seem far fetched, this kind of vertical integration seems to be making a resurgence as a strategic move, after having been discredited.  Then there is the perennial Nokia, who has seemed to be on death’s door, but may be coming back. As a strategic partner for Microsoft, Nokia’s fate may have a huge bearing on Microsoft’s strategy to reinvent itself as the PC goes into atrial fibrillation. Will Amazon enter the fray with its own smart phone entrant, and if so, with whose OS?  Will Research in Motion and the Blackberry be able to achieve a survivable market share, or is RIM already a walking zombie?

Finally, in a kind of death dance patent dispute reminiscent of the film, Gladiator, Nokia and RIM are now locked in new lawsuits and counter-lawsuits, as if to say, “If neither of us are going to survive, we might as well kill each other for the entertainment value.”

Here’s a more concise overview of the race to be the third mobile platform:

Read more: http://www.businessinsider.com/bii-report-the-race-to-be-the-third-mobile-platform-2013-1#ixzz2IepLaaka

For Management students, this real time case study offers the opportunity to apply and ponder:

1. The time tested 1976 Boston Consulting Group (Bruce Henderson) “rule of three and four.”  In a stable mature market there can be no more than three surviving competitors, the largest of which can have no more than four times the share of the smallest of the three.   Here, the question is whether a third competitor can successfully emerge at all?

2. Barriers to market entry. Former Intel Marketing VP, Bill Davidow‘s book, Marketing High Technology, An Insider’s View, still considered the standard on the topic, suggested his own metric for a barrier to a new market entrant, or even a competitor just struggling to survive the market shakeout. The market entry barrier rule of thumb in dollars is three-quarters the most recent annual revenue of the market leader. In this case, that is a very big B number…  Microsoft has the bucks, but is it just too late?

3. Vertical integration. Rumors of Samsung introducing its own mobile OS seem implausible, but hey Nvidia just announced its own gaming console to compete with Microsoft, Nintendo, and Sony.

4. Resources and capabilities. It is necessary to consider the respective resources and capabilities of each of the many direct players, and those playing in related markets that bear on the mobile OS market.

5. Related markets, new markets, peripherally involved competitors and products which all could play a role in the eventual outcome of this. The integrated Internet HDTV market is only one example. Featuring Apple, Microsoft, Google, and Samsung, and the HDTV manufacturers, it could influence things.  What if Amazon were to vertically integrate and introduce its own smart phone?

This is the hairball of this Century so far.  Are you all still with me, here?

Uber And The False Hopes Of A Sharing Economy

At its inception, Uber touted itself as a shining example of the “sharing economy” described by Jeremy Rifkin, in this now famous book, The Third Industrial Revolution. As time has passed the reality has been radically at odds with a sharing economy.  Among the many issues that have emerged has been the legacy of Uber’s ugly corporate culture, secret apps used to confound regulators, and to intimidate journalists, a Justice Department investigation of illegal practices, including 200 Uber employees conspiring together to attack Lyft’s operations. The proverbial chickens have come home to roost, as municipalities around the world have begun to regain control of transportation policy within their jurisdictions, and the inflated valuations of these unicorns begin to deflate.


Regulating Ride-Sharing: New York May Be The Model For The Future

Writing On The Wall: London and Vancouver Moving In A Similar Direction

At its inception, Uber touted itself as a shining example of the “sharing economy” described by Jeremy Rifkin, in this now famous book, The Third Industrial Revolution. As time has passed the reality has been radically at odds with a sharing economy.  Among the many issues that have emerged has been the legacy of Uber’s ugly corporate culture, secret apps used to confound regulators, and to intimidate journalists, a Justice Department investigation of illegal practices, including 200 Uber employees conspiring together to attack Lyft’s operations. The proverbial chickens have come home to roost, as municipalities around the world have begun to regain control of transportation policy within their jurisdictions, and the inflated valuations of these unicorns begin to deflate.

READ MORE:

READ MORE: Wharton Newsletter: Regulating Ride-Sharing: New York May Be The Model For The Future

From the Wharton Newsletter/Podcast, August 14, 2018

The largest market for Uber, Lyft and other ride-hailing app companies — New York City — last week had its first successful attempt at regulating the growth of the nascent industry. On Wednesday, the New York City Council passed a series of bills, notably one that places a one-year moratorium on the issue of new for-hire vehicle (FHV) licenses. Other bills establish minimum wage levels for ride-hailing service drivers; require FHVs to submit data on ridership with penalties for failure to do so; and create driver-assistance centers to provide counseling services.

New York City had little option to act, especially after a similar move by Mayor Bill de Blasio fell apart following intense lobbying by Uber. Increasing road congestion by cars was the biggest contributing factor to the passage of the bill capping new licenses, corroborated by a decline in subway ridership. The number of FHVs in the city had grown from 65,000 in 2015 to about 130,000 currently. Uber is the biggest gainer, as shown by its almost hockey-stick growth in ridership.

New York City took the right steps to regulate the FHV industry, according to Wharton professor of operations, information and decisions Senthil Veeraraghavan. “This is the right way to go,” he said. “This is a great experiment that we’re [witnessing].”

“They had to do something,” noted Wharton management professor John R. Kimberly. “This is part of an obviously much deeper story … and the timing seems to be right.”

The move to ensure that drivers receive a minimum pay of $15 an hour after they cover expenses is also significant, said James Parrott, director of economic and fiscal policies at the New School’s Center for New York City Affairs. He had worked on an extensive study for the city’s Taxi and Limousine Commission that looked at the ride-hailing sector and its growth, and in particular its impact on driver earnings.

Kimberly, Veeraraghavan and Parrott discussed the implications of the legislative actions governing New York City’s for-hire vehicle industry on the Knowledge@Wharton radio show on SiriusXM. (Listen to the podcast at the top of this page.)

“This is the right way to go. This is a great experiment that we’re [witnessing].”–Senthil Veeraraghavan

Incentive to Improve

The establishment of a minimum pay for drivers is an important incentive for ride-hailing app companies to increase the utilization of drivers’ time, said Parrott. Drivers currently have a passenger in the car for only about 36 minutes of every hour, which means they don’t have a paying passenger for 42% of their time, he added.

Up to now, Uber’s business model has been “to flood the streets with cars,” since the firm gets a commission based on every fare, Parrott said. “There’s been no incentive for them to better utilize the drivers’ capital,” he added. “Keep in mind; this is an industry where the capital investment in the rolling stock – the cars – is entirely put up by the drivers. The pay standard gives them an incentive by allowing them to pay a little bit less if they make better utilization of the drivers’ time.”

The city will use the year ahead to study congestion levels in the city and find ways to redress that, including through congestion pricing mechanisms. Last week’s actions took a step in that direction with a surcharge on cabs below 96th Street ($2 per ride for medallion trips and $2.75 for ride-hailing app cabs). It will also allow the city to monitor how the pay standard works out, and how the ride-hailing app companies make better utilization of drivers’ time, Parrott said.

“Even if you increase utilization by 10 percentage points – from 58% to 68% – you would only increase average wait times across the city about 20 to 30 seconds,” said Parrott, citing his study’s findings. “We sense that most people can live with that.”

According to Parrott, the number of Uber trips in the city increased 100% in 2016 and 70% in 2017. Going forward, he said that figure could probably grow another 40% over the next year, “even without any additional cars on the street – just from increased efficiency.” Those increased efficiencies could come from a variety of quarters, including urging part-time drivers to go full-time and recruiting some of the drivers from the non-app services, such as the traditional livery car segment that has no minimum pay standards.

“Uber and the drivers are on both sides of the story,” noted Veeraraghavan. Riders want low waiting times, which can be achieved with more vehicles. But drivers want fewer drivers, because that would allow them to get better pricing, he said.

“Granted it might have been done a lot sooner, but it seems to me that at least in the city of New York there’s a real, serious effort to get their arms around the problem.”–John Kimberly

Worsening Congestion

Parrott said New York City had first started talking about capping Uber and Lyft cars in 2015, drawing “heavy pushback” from the ride-hailing industry at that point. Between then and now, the number of trips using ride-hailing apps has skyrocketed to 600,000 a day, which is more than five times the level in 2015, he noted. A 2016 study by the mayor’s office proposed several remedial measures including those to reduce congestion, improve air quality, protect drivers’ interests and enhance passenger experiences.

Parrott said that while the city bears some responsibility for not acting sooner on the unbridled growth of the FHV industry, it faced a different climate when it attempted that in mid-2015. Uber at the time controlled 90% of the market in the city as opposed to 66% now, he pointed out. Suicides by six cab driversalso highlighted the “economic crisis” and changed public opinion in favor of the changes, he said.

“Theoretically speaking, there’s always a gap between what firms will want to optimize and what society wants to optimize,” said Veeraraghavan. “And it’s hard for individuals to see what’s optimal for this society.” However, as city residents have begun seeing the impact of the FHV industry’s growth — including on public transportation ridership numbers — they now have had a better understanding. “So we have a redo from 2015 to 2017 … and we’re seeing better support for this.”

“Granted, it might have been done a lot sooner, but it seems to me that at least in the city of New York there’s a real, serious effort to get their arms around the problem and to figure out how to solve it,” said Kimberly.

Congestion in New York City has worsened in recent years with not just the influx of cabs, but also other vehicles “providing instant service for a variety of needs that people believe they have,” including delivery vehicles, said Kimberly. “The density of tourists on the sidewalks is so great it spills over into the street – that slows down traffic and makes it hard for cars,” he added. The option of levying congestion pricing is being seriously considered also at the state headquarters in Albany, he noted.

At the same time, “the growth of FHVs has meant that there’s much better transportation access in the outer boroughs, so the city doesn’t want to diminish that newly available service,” said Kimberly. “And yet the city also has a great interest in making sure that the drivers are able to remain economically viable to meet their expenses and to earn a decent living.” Higher wages would also enable drivers to work fewer than the 10-12 hours a day they now put in, he added, and that would have safety benefits as well.

“If they can show that they have stability and regulatory certainty in their largest market in the U.S., that will give investors a lot more certainty….”–James Parrott

Congestion pricing will also help fund investments in maintaining and upgrading the city’s aging subway and public bus system, Parrott said. The decline in mass transit ridership is not just because of the growth of the FHV industry, he noted; commuters are turning away because of “under-investment and under attention to adequately maintaining the mass transit system.”

Uber’s Leadership Challenge

The changes also highlight a “leadership challenge” for Uber, said Kimberly. “They have hundreds of markets around the globe, and each market has its own political configuration, and its own way of doing business,” he noted. “When you think about the challenges of operating an enterprise like Uber on a global basis with all the local idiosyncrasies that need to be taken into account both economically and politically, it’s a really interesting [problem].”

Uber, which is currently valued at about $62 billion, is said to be preparing for an initial public offering of its stock next year. “If they can show that they have stability and regulatory certainty in their largest market in the U.S., that will give investors a lot more certainty about the potential prospects for the company,” said Parrott.

Uber’s impact on employment is also large, Parrott noted. Uber drivers are not legally considered employees, but if they were to be treated as full-time equivalent (FTE) employees, Uber would be the largest private-sector employer in New York City, with about 35,000 FTEs, he said. “[Ride sharing] has become a huge enterprise in New York City, and it and it’s not what people usually think of as gig work where you are doing this to supplement other income. We found that 80% of the drivers bought their cars mainly for the purpose of providing transportation services, and two thirds of the drivers are full-time drivers.”

Parrott noted that both Uber and Lyft embraced the pay standard proposal. But Kimberly thought they had little option in the matter. “I don’t think it’s by accident that they’re embracing the pay standard,” he said. “Left to their own devices, they probably would not have done that. But there’s been so much social criticism – and valid criticism – of their models that they’ve really had no choice.”

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


David Mayes

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

by 

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? 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