Financial Times ranks UBC Sauder’s Master of Management program #1 in North America


 

Source: Financial Times ranks UBC Sauder’s Master of Management program #1 in North America | UBC Sauder School of Business, Vancouver, Canada

The Financial Times, one of the world’s most influential business news outlets, has ranked UBC Sauder’s Master of Management (MM) the leading program of its kind in North America for 2018. Offered by the school’s Robert H. Lee Graduate School, the nine-month MM gives recent non-business graduates the skills they need to gain a competitive edge in the job market.

Published today, the annual “Global Masters in Management Ranking” placed the UBC Sauder’s MM program 1st in North America, up from 2nd in 2017, and 49th in the world, up from 58th in the world last year. Among the ranking’s highlights, the UBC Sauder program stood out for the career success of its students, with 95 percent of grads achieving full-time employment within three months of graduation.

Developed to address the evolving needs of today’s most innovative employers, the MM curriculum provides students with a vital grounding in a broad spectrum of business and management disciplines, from accounting to finance and marketing to strategic management. Students are coached to meet their career goals and connected with opportunities in organizations in Vancouver and around the globe.

UBC Sauder’s MM program is consistently ranked among the best in the world and has ranked as the number one program in North America five out of the past six years.

Industry Analysis: The Bigger Picture


David Mayes

Industry Analysis: The Bigger Picture

by  on Jul 19, 2013

Industry analysis is not a well-understood discipline. It sits between macroeconomic analysis and market analysis and uses tools from both. It is most commonly associated with the financial services industry which produces guides for their investors. But there are also large global consultancy firms that specialize in industry analysis.   It is an important tool for governments, regional development agencies. Companies use industry analysts to assist in their strategic planning. Those who can anticipate the changes in an industry are more likely to be successful.  This brief presentation provides an overview of what industry analysis is, examples of industry analysis in action, and why it is so important.

Industry Analysis: the bigger picture.  Presentation Transcript

  • 1. Industry Analysis: The Bigger Picture July 2013 ©David Mayes 1
  • 2. Industry Analysis: The Bigger Picture David Mayes, Lecturer ©David Mayes 2
  • 3. Introduction 1. Lecturer Introduction 2. What is Industry Analysis? 3. Why Industry Analysis? 4. Suggested Reading Industry Analysis: The Bigger Picture ©David Mayes 3
  • 4. Lecturer Introduction ©David Mayes 4 Industry Analysis: The Bigger Picture
  • 5. Industry Analysis Lecturer Introduction David Mayes: LinkedIn Profile: http://www.linkedin.com/in/mayo615 Google+ Profile: https://plus.google.com/u/0/118299264663896711410/about Email: david.mayes@ubc.ca mayo0615@gmail.com UBC Office: EME 4157 (250) 807-9331 Hours: Thurs. 12PM – 2PM or by appt. Cellular: (250) 864-9552 Twitter: @mayo615 Experience: Executive management, access to venture capital, international business development, sales & marketing, entrepreneurial mentorship, technology assessment, strategic planning, renewable energytechnology. Intel Corporation, 01 Computers Group (UK) Ltd., Mobile Data International, Silicon Graphics, Sun Microsystems, Ascend Communications, P-Cube, Global Internet Group LLP, New Zealand Trade & Enterprise. ©David Mayes 5
  • 6. Introduction 1. Instructor Introduction 2. What is Industry Analysis? 3. Why Industry Analysis? 4. Suggested Reading ©David Mayes 6 Industry Analysis: The Bigger Picture
  • 7. What is Industry Analysis? ©David Mayes 7 Industry Analysis: The Bigger Picture
  • 8. Industry Analysis What is Industry Analysis? A Proposed Definition of Industry Analysis: Industry analysis looks at long-term trends and forces that affect an overall industry. It is a strategic analysis tool used by governments, economic development agencies, financial services & investment firms, management consultancy firms, and businesses. Current estimates and future industry projections may include consideration of a broad range of global and local factors: economic, supply and demand, individual competitors, other external future forecasts, and government policy affecting the industry. Industry analysis is commonly performed within the framework of macro- economic analysis as well as market analysis theories and tools. ©David Mayes 8
  • 9. Industry Analysis What is Industry Analysis? Industry Analysis As A Discipline: • Best known in the financial services industry • Industry performance & forecast guides for investors • High profile industry analysis consultancy firms • IDC, Gartner, Forrester, dozens of others in vertical markets • Used as a strategic planning tool by companies • “How to” guides/textbooks very limited, but masses of primary statistics and reports • Seen as between macro-economics and market research ©David Mayes 9
  • 10. Macro Economy: Global, Regional, National An Industry: Global, Regional, National A Market: Can Be Industry Sub- segment(s) Competitor(s) Us Industry Analysis What is Industry Analysis? Hierarchy of Economic Analysis OUR FOCUS ©David Mayes 10
  • 11. Industry Analysis What is Industry Analysis? IDC Forecasts Worldwide Semiconductor Revenues Will Reach $305 Billion in 2012 IDC Forecasts Worldwide Semiconductor Revenues Will Reach $305 Billion in 2012 Business Wire FRAMINGHAM, Mass. — December 15, 2011 “Despite the continuing global macroeconomic problems, semiconductor inventory overbuild early this year, and current DRAM oversupply, semiconductor revenues will register positive year-over-year (YoY) growth of 3.4% and 3.1% with $296billion and $305 billion for 2011 and 2012, respectively, according to the year-end 2011 update of IDC’s Semiconductor Application Forecaster (SAF).”The 2011 year-end update reaffirms the views IDC expressed in its qualitative SAF update published in November 2011….” Yada yada yada… Full Report Price: $1,000, other reports up to $10,000 Industry Analysis Example ©David Mayes 11
  • 12. Industry Analysis What is Industry Analysis? http://www.youtube.com/watch?v=31SpS3 6ynDs&hd=1 Semiconductor Industry Analysis: Intel Cuts 2012 Outlook on Hard Drive Shortage (Flood in Thailand) ©David Mayes 12
  • 13. Industry Analysis What is Industry Analysis? http://www.youtube.com/watch?v=- I50V4PO1y4&feature=g- wl&context=G25b6f51AWAAAAAAAAAA Information Technology Industry Analysis: Samsung Economic Research Institute ©David Mayes 13
  • 14. Industry Analysis What is Industry Analysis? http://www.economist.com/node/21541746 The Economist on Video Gaming: World of Warcraft vs. New Market Entrants ©David Mayes 14
  • 15. Industry Analysis What is Industry Analysis? http://www.dailymotion.com/video/xblts0_in dustry-analyst-jesse-divnich-on- v_videogames Video Gaming Analyst Jesse Divnich on the Video Games Industry ©David Mayes 15
  • 16. Industry Analysis What is Industry Analysis? Answer: Huge consumption of microprocessors for game consoles “Over the past two decades the video-games business has gone from a cottage industry selling to a few niche customers to a fully grown branch of the entertainment industry. According to PricewaterhouseCoopers (PwC): • Global video-game market worth around $56 billion last year. • More than twice the size of the recorded-music industry • Three-fifths the size of the film industry, Including DVD sales Video games will be the fastest-growing form of media over the next few years, with sales rising to $82 billion by 2015.” — The Economist. December 10th, 2011 How Does The Video Games Market Relate to the Semiconductor Industry? ©David Mayes 16
  • 17. Industry Analysis What is Industry Analysis? Leading Industries in Canada (GDP): • Aerospace (5th largest in the World) • Agri-food (4th largest exporter) • Automotive (3rd largest exporter in World) Leading Industries in British Columbia (GDP): • Construction • Manufacturing (?) • Mining & Gas Extraction Leading Industries in the Thompson Okanagan (GDP): • Construction • Manufacturing • Services (retail, tourism, etc.) Key Industries in Canada ©David Mayes 17
  • 18. Questions? What is Industry Analysis? ©David Mayes 18
  • 19. Industry Analysis 1. Instructor Introduction 2. What is Industry Analysis? 3. Why Industry Analysis? 4. Suggested Reading ©David Mayes 19 Industry Analysis: The Bigger Picture
  • 20. Industry Analysis Why Industry Analysis? ANSWER: Large scale economic shifts caused by demographic, geographic, political, technological and social changes can create new opportunities or can lead to the demise of a company. Competitors that can anticipate these large-scale economic shifts are more likely to survive. Why Industry Analysis? ©David Mayes 20
  • 21. Industry Analysis Why Industry Analysis? • Government Policy • Taxation, incentives, international export market development • Focused Economic Development Programs • Which industries should be promoted? • Example: New Zealand Trade & Enterprise* • Institutional/Individual Investment Management • Tracking Industry Trends and Growth • Management Consultancy Firms • Strategic Business Decisions on Markets • Individual businesses Why Industry Analysis? ©David Mayes 21
  • 22. Industry Analysis Why Industry Analysis? • Federal, Provincial Ministries & Economic Development Agencies • Canadian Ministries of Industry and International Trade • BC Ministry of Energy, Mines and Petroleum • Central Okanagan Regional Development • Financial Services and Investment Firms • BMO, CIBC, RBC, TD Canada Trust, credit unions • Stock brokerages • Financial news networks • Management Consultancy Firms • Accenture, BCG, HP, IBM, PWC, Forrester, Gartner, IDC • Businesses • Executive management, strategic planning units • Corporate positioning, SWOT, long range planning Who Conducts and Uses Industry Analysis? ©David Mayes 22
  • 23. Industry Analysis Why Industry Analysis? Example: New Zealand Trade & Enterprise Marketing an Entire Nation as an Industry http://www.nzte.govt.nz/Pages/default.aspx http://www.youtube.com/watch?v=eh-0knDpn5g ©David Mayes 23
  • 24. Industry Analysis Why Industry Analysis? Example: International Data Corporation (IDC) http://www.idc.com/prodserv/maps/consumer.jsp ©David Mayes 24
  • 25. Industry Analysis Why Industry Analysis? Example: Central Okanagan Economic Development Commission http://investkelowna.com/ ©David Mayes 25
  • 26. Questions? Why Industry Analysis? ©David Mayes 26
  • 27. Industry Analysis 1. Instructor Introduction 2. What is Industry Analysis? 3. Why Industry Analysis? 4. Suggested Reading ©David Mayes 27 Industry Analysis: The Bigger Picture
  • 28. Industry Analysis Suggested Reading: Suggested Reading: HBR’s 10 Must Reads on Strategy, Harvard Business Press, 2011 (HBR article anthology). Blue Ocean vs. Five Forces, Burke, A.E. (HBR journal article, online) http://toby.library.ubc.ca/subjects/subjpage2.cfm?id=660 How to Conduct An Industry Analysis, Small Business and Technology Development Center, http://www.sbtdc.org/pdf/industry_analysis.pdf ©David Mayes 28
  • 29. ©David Mayes 29

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

 

The Internet of Things: The Promise Versus the Tower of Hacked Babbling Things


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.

 

Big Idea Social Entrepreneur: The New 21st Century Career


bigbulb

Late last year I wrote on this blog about my frustration with the lack of Big Ideas driving innovation. My rant was stimulated by a New York Times article on the grim underbelly of the “an app for everything” culture: people who were working on “small ideas,”  and losing their shirts in the process.  I also shared the thoughts of other entrepreneurial leaders, investors, and journalists, also bemoaning the fact that we seem to have lost our way, and are no longer thinking BIG.  This morning I stumbled on a post on the HBR Blog Network, entitled “Idea Entrepreneur: The New 21st Century Career.” I took some editorial license and added the words “Big”  and “Social” to my blog post, simply because the author was actually making the case for Big Ideas and Social Entrepreneurship, and the hopeful sign that there may be a re-emergence of people who care about Big Ideas.  Read my original post here, followed by the HBR Blog post.

The concept of “social entrepreneurship” has noticeably taken off with this generation of young people. While there some debate about the definition of “social entrepreneurship,” I am comfortable with the following explanation.

A social entrepreneur is a person who pursues novel applications that have the potential to solve community-based problems, both large and small. These individuals are willing to take on the risk and effort to create positive changes in society through their initiatives.

Examples of social entrepreneurship include microfinance institutions, educational programs, providing banking services in underserved areas and helping children orphaned by epidemic disease. Their efforts are connected to a notion of addressing unmet needs within communities that have been overlooked or not granted access to services, products, or base essentials available in more developed communities. A social entrepreneur might also seek to address imbalances in such availability, the root causes behind such social problems, or social stigma associated with being a resident of such communities. The main goal of a social entrepreneur is not to earn a profit, but rather to implement widespread improvements in society. However, a social entrepreneur must still be financially savvy to succeed in his or her cause.

I had the good fortune of working with the global social entrepreneurship NGO,  Enactus and a group of my students from the UBC Faculty of Management. We interacted with other social entrepreneurship groups as far afield as Perth, Australia, and Rotterdam in the Netherlands to develop our own project. Enactus categorizes projects by the potential for the project to become self-sustaining by the participants, and the original project volunteers working themselves out of a job. Our project was designed to meet the highest categorization within Enactus. We designed a roof-top hydroponic vegetable garden project that would produce high yield cash crop fruits and vegetables for the homeless community, managed by a local housing organization.  The end goal was to enable the homeless volunteers to take over the operation, generate income for themselves, and collaborate with the charity organization to enter into simple permanent housing.

Read more: What Makes Social Entrepreneurs Different?

Read more: http://mayo615.com/2012/11/18/app-development-booms-depressing-underbelly-what-ever-happened-to-big-ideas/

“Big” Idea Entrepreneur: The New 21st Century Career

Reblogged from the HBR Blog Network

by John Butman  |  10:00 AM May 27, 2013

Read more: http://blogs.hbr.org/cs/2013/05/idea_entrepreneur_the_new_21st.html

There is a new player emerging on the cultural and business scene today: the idea entrepreneur. Perhaps you are one yourself — or would like to be. The idea entrepreneur is an individual, usually a content expert and often a maverick, whose main goal is to influence how other people think and behave in relation to their cherished topic. These people don’t seek power over others and they’re not motivated by the prospect of achieving great wealth. Their goal is to make a difference, to change the world in some way.

Idea entrepreneurs are popping up everywhere. They’re people like Sheryl Sandberg (Facebook COO and author of Lean In), who is advocating a big new idea from within an organization. And like Atul Gawande (the checklist doctor), who is working to transform a professional discipline. Or like Blake Mycoskie (founder of TOMS shoes), who has created an unconventional business model.

In my research into this phenomenon (which forms the basis of my book, Breaking Out), I have been amazed at how many different kinds of people aspire to be idea entrepreneurs. I have met with, interviewed, emailed or tweeted with librarians, salespeople, educators, thirteen-year-old kids, marketers, technologists, consultants, business leaders, social entrepreneurs — from countries all over the world — who have an idea, want to go public with it, and, in some cases, build a sustainable enterprise around it.

The ones who succeed — whether it’s disrupting an established way of doing business as Vineet Nayar has done with his company or bringing a mindset change to a small community like Maria Madison has done in Concord, Massachusetts — share the following methods:

  • They play many roles. They are manager, teacher, motivator, entertainer, coach, thought leader, and guru all rolled into one. Think Reid Hoffman (founder of LinkedIn and author of The Start-Up of You), Daniel Pink (author of Drive) or, in India, Kiran Bedi, leader of a worldwide movement to transform prisons and root out corruption.
  • They create a platform of expressions and generate revenue to support their social activities. Idea entrepreneurs have to be exceptionally good at expressing their idea, and usually do so in many forms. They give private talks and major speeches, write books and blogs and articles, participate in panels and events, engage in social media — activities that can generate revenue (sometimes in considerable amounts), through a combination of fees, sales of their expressions, and related merchandise. Jim Collins has created a long-lasting enterprise supported by the sale of books and media, as well as fees for consulting, speaking engagements, and workshops.
  • They offer a practical way to understand and implement their idea. Because people have a hard time responding to an abstract idea, the idea entrepreneur develops practices (and personally models them, too) that lead people to the idea through action. Bryant Terry, an “eco-chef” who argues that good nutrition is the best path to social justice, embeds his ideas in cooking methods and suggestions for social interaction around good food.
  • They draw other people into their idea. The idea entrepreneur gathers people into the development, expression, and application of their idea. They form affiliations, build networks, and form groups. Al Gore created the Climate Reality Project Leadership Corps to bring his ideas about environmental sustainability to people around the world. Eckhart Tolle, a spiritual leader and author of The Power of Now, has established the online Eckhart Teachings Community with members in 130 countries. This inclusion of many people in many ways creates a phenomenon I call respiration— it’s as if the idea starts to breathe, and takes on a life of its own.
  • They drive the quest for change. It is all too common that people with an idea for an improvement or a change to the world are satisfied to point out a problem, propose a solution, and then expect others to execute. The idea entrepreneur, however, sees the expression of the idea as the beginning of the effort — and it can be a lifelong one — in which they will continue to build the idea, reach new audiences, and offer practices that lead to change. Dr. Bindeshwar Pathak, based in Delhi, believes that world-class sanitation is necessary for India to realize its full potential. In forty years of idea entrepreneurship — spent in writing, speaking, travelling, network building, and technology development — he has influenced the way millions of people think and act.

People who have shaped our thinking and our society over the decades, even centuries, and continue to do so today — from Benjamin Franklin to Mohandas Gandhi tHannah Salwen, an American teenager who modeled a disruptive approach to philanthropy — have followed the path of the idea entrepreneur.

These days, the model is well-defined and, thanks to the amazing range of activities we have for creating and sharing ideas, is within reach for just about anyone. If you have an idea, and want to go public with it, idea entrepreneurship can be one of the most powerful forces for change and improvement in the world today.

University degree no longer comes with promise of stable job

The unwritten promise of a post-secondary education has been to earn a degree in an applied field such as engineering and you’ll end up with a good, stable job, but the millennial generation is finding that can no longer be counted on. I have been thinking about this issue for some time. Last year, I posted an article on this blog by Robert Reich, Professor of Economics at UC Berkeley and former Secretary of Labor under Bill Clinton. I was stimulated to share that article by what I was seeing with my own students from the University of British Columbia, and contrasting that with my own experience years ago, walking into my Silicon Valley dream career by sheer chance. That simply no longer happens. Grads must begin plotting out a plan early, no later than the beginning of their third year, and begin to execute on it in order to find an entry-level position commensurate with their education. Networking and cold calling is imperative, but as this article points out, even that may not guarantee solid employment.


The unwritten promise of a post-secondary education has been to earn a degree in an applied field such as engineering and you’ll end up with a good, stable job, but the millennial generation is finding that can no longer be counted on. I have been thinking about this issue for some time. Last year, I posted an article on this blog by Robert Reich, Professor of Economics at UC Berkeley and former Secretary of Labor under Bill Clinton. I was stimulated to share that article by what I was seeing with my own students from the University of British Columbia and their struggles, and contrasting that with my own experience years ago, walking into my Silicon Valley dream career by sheer chance. That simply no longer happens. Grads must begin plotting out a plan early, no later than the beginning of their third year, and begin to execute on it in order to find an entry-level position commensurate with their education. Networking and cold calling are imperative, but as this article points out, even that may not guarantee solid employment. 

Source CBC News/Business: ‘It’s not a guarantee’: University degree no longer comes with promise of stable job

‘The millennial side hustle,’ not stable job, is the new reality for university grads

Recent graduates are finding a post-secondary education is no longer a guarantee of stable employment

By Nick Purdon and Leonardo Palleja, CBC News Posted: Mar 12, 2017 5:00 AM ET Last Updated: Mar 12, 2017 5:00 AM ET

Christian McCrave, 21, stands in front of his parents' house in London, Ont. He moved back in when he couldn't find a job after graduating with a degree in mechanical engineering.

Christian McCrave, 21, stands in front of his parents’ house in London, Ont. He moved back in when he couldn’t find a job after graduating with a degree in mechanical engineering. (Nick Purdon/CBC)

Twenty-one-year old Christian McCrave feels like he did his part.

He got good grades in high school and completed a four-year degree at the University of Guelph in southwestern Ontario. He studied mechanical engineering, in part because he thought it would land him a job.

It hasn’t.

“I actually thought that coming out of school that I would be a commodity and someone would want me,” McCrave said. “But instead, I got hit with a wall of being not wanted whatsoever in the industry.”

McCrave says he believed in the unwritten promise of a post-secondary education: work hard at school, and you’ll end up with a good and stable job.

Now, he’s not so sure.

“Being unemployed while having a degree is kind of a kick in the face,” McCrave said. “If anything, it’s a setback. You have all this debt and this degree, and everyone has one, but it doesn’t get you further in life sometimes.”

Since graduating last year, McCrave has applied for 250 engineering jobs, but he’s only had four interviews and no job offer.

McCrave isn’t alone. More than 12 per cent of Canadians between the ages of 15 and 24 are unemployed and more than a quarter are underemployed, meaning they have degrees but end up in jobs that don’t require them.

The latest numbers from Statistics Canada show that the unemployment rate for 15-to-24-year-olds is almost twice that of the general population.

McCrave has expanded his job search to include retail and recently applied to work at the local Sobeys grocery store near his parent’s house in London, Ont., where he has lived since soon after graduation.

“It’s a job. Something to feel accomplished from,” said McCrave. “As much as an engineer can be accomplished by cutting deli meats.”

Co-ops, apprenticeships key to employability

The challenge McCrave faces is experience: namely, he doesn’t have any. The most recent work experience on his resume is sales associate at Winners.

Sandro Perruzza, the chief executive officer at the Ontario Society of Professional Engineers (OSPE), is familiar with graduates like McCrave.

Christian McCrave 2

Since graduating, McCrave has applied for 250 engineering jobs but hasn’t had a single offer, he says. (Leonardo Palleja/CBC )

“He could have applied for co-ops or apprenticeships while he was at school — even if it delayed his graduation,” Perruzza said. “We strongly advocate co-ops. The fact is because of the sheer number of applicants these days, the ones who get the jobs have some kind of experience.”

Should McCrave land one of the retail jobs he’s applied for, he’ll achieve one of the hallmarks of his generation: underemployment.

‘With millennials, the idea is that we are lazy and that we don’t work hard and stuff is given to us.’– Christian McCrave, 21, engineering graduate

A 2014 Canadian Teachers’ Federation report found nearly a quarter of Canada’s youth are either unemployed, working less than they want or have given up looking for work entirely.

The number of engineers in Ontario who are underemployed is 33 per cent, according to the OSPE.

Still, McCrave says he often hears it’s his own fault that he’s unemployed.

“With millennials, the idea is that we are lazy and that we don’t work hard and stuff is given to us — the idea of the participation award,” McCrave said. “We didn’t want the participation award. We didn’t want to be told we are not good enough but here’s an award anyways. We want to compete; we want to succeed.”

‘The millennial side hustle’

Fast forward a few years in the job trajectory of the millennial generation, and you’ll find Clair Parker. Parker, 26, has a political science degree from Carleton University in Ottawa and a certificate in public relations from Humber College in Toronto.

“I live in an apartment, I have three roommates, and I don’t have benefits,” said Parker. “If I were the exception, I would feel upset about that because I would feel that I had done something wrong, but I am not the exception. I am the norm.”

Clair Parker

Clair Parker might not be making direct use of her political science degree at her job as a bartender at a small Toronto brewery, but don’t call her underemployed. ‘It implies just the [job] title means more than what is going on in the workplace,’ she says. (Nick Purdon/CBC)

Parker’s bartending job doesn’t pay enough to make ends meet so she cobbles together enough money to live in Toronto by also working at a yoga studio and house sitting.

“I joke with my friends all the time about the millennial side hustle,” Parker says. “We all have different side hustles that we do to get money. So many people who would have worked in-house for a company before are freelancing now.”

The millennial side hustle (also known as the gig economy) means no steady job but also no safety net.

“If you have a toothache now and you are 24 years old, you freak out,” says Parker. “That’s going to be a couple of grand when you go to the dentist for the first time. I think people are going to feel really disenfranchised by the workforce and uncared for by the workforce.”

Parker works primarily at Halo brewery in Toronto, bartending and doing whatever else is needed to keep the small business running.

Kimberly Ellis-Hale again

‘Being precariously employed takes its toll,’ says Ellis-Hale. (Leonardo Palleja/CBC)

“On paper, I am a bartender,” Parker says. “But anyone who has worked with a small business understands that it’s kind of an all hands on deck situation. You have a lot of opportunities to learn a lot of different things.”

Parker bristles at the suggestion that she is underemployed.

“I am not underemployed, and I kind of get offended when people say I am underemployed,” Parker says. “It implies that they know more about my situation than I know about my situation. It implies just the [job] title means more than what is going on in the workplace. It’s a huge assumption.”

While Parker probably could have gotten her job without five years of post-secondary education, she says her education will allow her to grow along with the business. She is banking on potential — her own and the company’s.

The university enrolment boom

The promise of higher education is alive and well in Canada. There are more university students than ever before. In 2015, there were more than two million students enrolled at Canadian universities and colleges, compared to almost 800,000 in 1980.

Kimberly Ellis-Hale 1

Kimberly Ellis-Hale has been teaching at Wilfrid Laurier University in Waterloo, Ont., since 1998 but still has to re-apply for her job every four months. (Leonardo Palleja/CBC)

“With a good education, you will have a good future. With a good education, you will have a good job,” said Kimberly Ellis-Hale, an instructor at Wilfrid Laurier University in Waterloo, Ont., who teaches sociology and other subjects. “And I think for past generations, it may have been [the case]. I think for future generations, it’s not a guarantee.”

Even though economic indicators that track employment reveal a trend toward more precarious jobs, Ellis-Hale says most of her students don’t see that as their future. She didn’t either, but that’s how things turned out.

‘I teach in a place that sells education as the path to a better and more secure life, and I don’t have a part of that life.’– Kimberly Ellis-Hale, contract faculty, Wilfrid Laurier University

Ellis-Hale is contract faculty, and even though she’s been teaching university courses at Laurier since 1998, she has to re-apply for her job every four months.

“I have very little job security,” Ellis-Hale said. “And being precariously employed takes its toll.”

Ellis-Hale’s two children are now grown up and live on their own, but she vividly remembers standing in the pharmacy when they were young trying to decide which child needed antibiotics the most.

“I couldn’t afford to purchase both of them,” Ellis-Hale says. “And how do you live with that? I teach in a university. I teach in a place that sells education as the path to a better and more secure life, and I don’t have a part of that life.”

Turning the promise into a guarantee

The University of Regina’s UR Guarantee program, launched in 2009, turns the unwritten promise of post-secondary education into an actual guarantee. If a student enrolled in the program doesn’t get a full-time job in their field within six months of graduation, they can return for a year of undergraduate study tuition-free.

“The reason we do this is we know that if students do all the things that are part of the program, they are going to be successful,” said Naomi Deren, associate director of student success at the university.

Naomi Deren

Noami Deren is the associate director of student success at the University of Regina and runs the school’s UR Guarantee program, which lets graduates return for a free year of study if they don’t get a job in their field within six months. (Leonardo Palleja/CBC)

Students from any department can enrol in the program and must complete career development training, including resume reviews and job interview seminars.

In their final year, students are required to network and complete a labour market overview in their chosen field. Their job search begins while they are still at school.

‘The average student doesn’t … do that preparation, isn’t thinking about their career in second year and is sort of left scrambling at the end of it.’-Naomi Deren, associate director of student success, University of Regina

“I really think that the average student doesn’t do all of that stuff, doesn’t do that preparation, isn’t thinking about their career in second year and is sort of left scrambling at the end of it,” Deren said.

Of the 120 students who have participated in the program only two have come back for the free year.

“Honestly, everyone else has found what they were looking for,” Deren said. “We have students who are teaching — they got full time contracts right out of university … We have students who are working in marketing, communications. We have a reporter for the Leader Post.”

Keeping students from dropping out

Jenna deBoth, 21, is in her fourth year of an education degree program at the University of Regina and all she can think about is graduating.

“I am so excited. I can’t wait to actually get out there and get a job,” she said.

Jenna deBoth final

Jenna deBoth, 21, says that without the University of Regina’s UR Guarantee program, she probably would have dropped out of university. Now, she’s about to graduate with an education degree. (Nick Purdon/CBC )

Still, deBoth, from the small town of Hudson Bay, Sask., almost didn’t make it past her first year of university. She credits the UR Guarantee program with keeping her from dropping out.

“I was absolutely terrified to be on campus because even though Regina is a small city, to me, it was huge,” deBoth said.

‘If I don’t get a job in my field? Well, I am gonna keep trying.’– Jenna deBoth, 21, 4th-year University of Regina student

DeBoth happened to see a poster advertising the UR Guarantee program. She signed up and within a few months, she was volunteering and had a growing circle of friends.

“We see ourselves in the beginning as high school guidance counsellors,” Deren said. “We make sure students are successful and are retained here at the university.”

Deren says retention rates among UR Guarantee students are 10 per cent higher than those of the general student population.

DeBoth hasn’t yet found a teaching job for the fall, and she admits she’s nervous about what’s out there.

“If I don’t get a job in my field? Well, I am gonna keep trying,” she said. “This is something that I am passionate about. I have made sure I have skills that will help me no matter where I go.”

Why The Biggest Tech Companies Are Not In Canada


Mayo0615 Reblog from July 22, 2013

It dawned on me that my blog post from July 2013, still has particular relevance to the current situation in Canada. I discuss the longer term structural issues confronting Canadian entrepreneurs and Canadian venture capital. Boris Wertz, founder of Vancouver’s Version One Ventures is also crucial to this discussion. When I first arrived in Canada, I learned quickly that the Vancouver startup ecosystem was nothing like what I knew from Silicon Valley. My personal case study was Mobile Data International, a pioneering company in wireless data, well before WiFi and Bluetooth, that could have led the market and the technology. Instead, the company was taken public much too early.  MDI was bought by Motorola Canada for $39 Million,  in a hostile takeover, and was essentially moved out of Canada and shut down.  Later, in 2012, I had another opportunity to be up close and personal with Canadian innovation, as a participant in the Canada Foundation for Innovation deliberations in Ottawa. These two experiences have played a major role in the development of my views on this topic.

The following reblog raises the tough questions that are holding Canada back.

From July 2013:

In 2013, ContentDJ founder Jerry Tian published a blog post addressing the issue of “Why Canada Has No Big Tech Companies” – Nortel is dead and RIM is quite obviously dying, he points out. Tian, who was himself responding to an interview with Boris Wertz, founder of Vancouver’s Version One Ventures, offers a thought provoking theory and one that applies to a large degree to all up-and-coming startup ecosystems.

The founder questions the commitment and willingness of Canadian investors and entrepreneurs to devote the ten years or more that it may take to build an independent multi-billion dollar company with staying power, rather than flipping that company for an eight, nine, or even ten figure exit – typically to Silicon Valley acquirers – and exporting that future innovation and wealth building. It’s a charge that could be applied equally well to New York, Los Angeles, Chicago, Austin, Boulder, and dozens of would be international startup hubs.

“’Silicon Valley is not a place but a state of mind,” Tian writes, quoting KPCB General Partner John Doerr. “Some of these insights are collaboration, competition, openness to innovation, failures and experimentation. Probably the most important one is the long term commitment behind technology companies.”

Of course, Tian and Doerr are spot on. What emerging startup hubs often miss when trying to “become the next Silicon Valley” – a flawed mission in and of itself – is that the grandaddy startup ecosystem is more than its physical infrastructure of entrepreneurs, engineers, designers, investors, service providers, universities, and the like. Equally important are the systematic irrationality and a feedback loop around the willingness to turn down the quick buck and go for the massive once-in-a-generation success story.

This isn’t the case with every company, founder, or investor, but it exists in enough density in the San Francisco Bay Area, and based on results to a lesser extent in Seattle, that these are the only two areas areas in the country that have led to multiple ten billion dollar plus technology and internet companies – the true giants that transcend their local ecosystems and seep into the lives of average consumers.

It is these companies, with their ability to attract talent, make acquisitions, invest in long-term R&D, and create systemic wealth that make ecosystems. And with very rare exception, getting to this scale requires a decade or longer commitment and a willingness on the part of founders and investors to turn down near and mid-term paydays. Similarly, it requires a vision and an ambition  to build something that will be around forever.

Tian writes:

So, why is nobody talking about these acquisitions? I think it’s simply because investors are getting filthy rich off these deals.

And that’s exactly what not to do if you want to create the next Silicon Valley. You cannot sell the hen that lays the golden eggs for a few quick buck [sic]. Technology companies take 10 years to really manifest the value. To really build a billion dollar company, it takes tremendous multi-decade commitment. And that’s the biggest missing piece in Canada.

Like or hate Zynga founder and former CEO Mark Pincus, one has to respect him for saying that he wants to build a “digital skyscraper,” a company that would be around for 100 years. Pincus went further to say that he views serial entrepreneurship as failure and that he wants to run Zynga for the rest of his career. Ironically, he recently replaced himself as CEO, personally recruiting Don Mattrick for the role. But Pincus made the ego-busting move in an effort to return Zynga to its former glory and to get it back on that century-long track.

In his somewhat controversial on-the-ground reporting on the Chicago ecosystem last summer, Trevor Gilbert delved into “the Midwest Mentality” and the impact it has on the types of companies that are built there. Gilbert called Chicagoans “pragmatic.” Lightbank partner Paul Lee offered an example of this pragmatism, saying that Chicago startups typically focus on generating revenue from day one, rather than building a massive, but unprofitable user base, a la Facebook and Twitter pre-monetization. Profit is all well and good, and should be the ultimate goal of any business that wants to be around for the long term, but focus on it too intently early on and it can be impossible to invest in growth. It takes a special kind of vision and fortitude to look past the short term and make the big bets required to create massive companies.

This is not to pick on Chicago. A similar phenomenon seems to exist in LA where companies race out to a low nine-figure valuation and then either stall out in that vicinity or sell for sub-one billion dollars to a larger out of town acquirer. Call it the curse of the big-little deal – maybe everyone here just wants to see their name in lights. In a market that is desperate for success stories and validation, these medium-sized exits are hailed as “wins” – and they are, given the difficulty of building a hundred-million dollar company – but they often rob the ecosystem of potential multi-generational tentpole companies. This is a mentality that appears to have changed in recent years, but that change has not yet bore fruit in the form of LA’s answer to Google, Amazon, or Facebook.

New York has seen its own version of this phenomenon, with the ecosystem’s biggest success stories, DoubleClick and Tumblr, being exits to Google and Yahoo respectively. Local darling MakerBot followed suit, selling for $600 million in June. New York does have Fab, Gilt, and Foursquare all shooting for the moon but these companies and the ecosystem as a whole still must prove that they can sustain this ambition and parlay it into a giant company.

As Tian points out, part of the blame for these exits falls on investors. It’s not that investors aren’t interested in massive outcomes – they most certainly are. But not all non-Silicon Valley investors are equipped for the financial and time commitment it takes to create them. These investors, many of which operate out of first- or second-generation funds, often have smaller pools of capital to invest out of.

Write a $2 million check at a $10 million valuation out of a $100 million fund, and a 50x return looks pretty good, returning 98 percent of your fund. Make that same investment out of a $1 billion fund and the impact on fund economics is decidedly less interesting. This is one of the few arguments in favor of mega-VC funds. But it also benefits firms that are on their fourth, fifth or sixth fund and have less to gain reputation-wise with solid base hits.

Returning to Tian’s piece, he closes by writing, “If you are wondering why Canada doesn’t have the [sic] billion dollar company, it cannot be more obvious than this. Too many people are in it trying to get rich quickly off entrepreneurs. Not enough people have the gut [sic] and commitment to create or help create something truly meaningful.”

Tian paints with a broad brush, yes, which ignores many of the subtle nuances and external factors that contribute toward building massive technology companies. But there’s little arguing that people in Silicon Valley think differently. Armed by decades of case studies and social proof, the ecosystem has developed a healthy disregard for rationality.

Mark Zuckerberg famously did just that when Yahoo came calling. He was just 20 years old and Facebook, at less than two years old, was unprofitable with just $30 million in revenue. Yet Zuckerberg and Facebook’s board, which included Peter Thiel and Jim Breyer, turned down Yahoo’s $1 billion offer. When the elder advisors tried to convince the young founder that his 25 percent of that offer would be a big number he said, “I don’t know what I could do with the money. I’d just start another social networking site. I kind of like the one I already have.”

Israeli social mapping company Waze just made the opposite decision, selling to Google for slightly more than that mythical $1 billion. Sarah Lacy cautioned Israel-bulls to “reconsider too much high-fiving over Waze.” While legendary local angel investor Yossi Vardi likes to compare Israeli startups to tomato seeds which need more experienced farmers to grow properly, Lacy believes that the country has the potential to build and sustain globally dominant Web companies without selling, offering MyHeritage as an example.

None of this is to say Silicon Valley is immune from this syndrome. There are thousands of entrepreneurs in the Bay Area who would rather flip their company than do the long, hard work of building something sustainable. But the sheer density of the ecosystem means that a dozen or so each year choose the road less traveled. Also, given the scale of the Valley ecosystem, building a big company is the only way to move the needle and attract talent and capital. Everyone in line at Philz coffee is working on the next “billion dollar business.”

Finally, Silicon Valley is a magnet for those entrepreneurs around the globe who want to build great technology companies, and the ecosystem surely benefits from this imported talent. This was actually Wertz’s central point in the original interview and is one that Tian touches on briefly. It’s a difficult problem to solve, given the power of knowing someone (or several someones) who has summited the mountain before and who can show you that it can be done. In each of these other markets, someone will have to be the first.

In many cases, it is highly irrational to turn down a nine- or ten-figure acquisition offer. There are real benefits to gaining access to the financial and personnel resources of a larger acquirer, ones that can often make or break the success of a still fledgling company. But, if there’s anything in Silicon Valley that Canada, LA, New York, and other startup ecosystems should aspire to it’s this willingness to roll the dice. Sometimes the shooter rolls a “7.”

The Importance of “Convergence” In Market and Industry Analysis


newbusinessroadtest

If You Get Technology “Convergence” Wrong, Nothing Else Matters

I came across this book during my most recent visit to the UBC Vancouver campus.  As good as I think this book is at focusing attention, in workbook style, on the importance of market and industry analysis in new venture due diligence, there is an issue that I think is not adequately addressed by any model or theory: not Porter, not STEEP or SWAT. Convergence is the issue.

We can imagine and even potentially envision a very cool business idea, but if the technology to achieve it is not ready, not sufficiently mature, the idea is Dead on Arrival (DOA).   I do not mean to pick on young entrepreneurs, but I reviewed a business concept last week that was a superb and compelling idea, but the technology necessary to achieve it simply was not there, either in terms of its capability or its price point. I am confident that it will be there in time, but it is not now.  As if to make my point, Apple announced that it was acquiring a company for $20 Million in the exact same technology area: indoor location tracking (no small feat).  At this point it is not clear that the acquired company has any extraordinary intellectual property or expertise, and the article primarily focused on the point that this “location identification” technology was “heating up.”  It looks like it may be a simple “aquihire.”   Global Positioning and geo tagging as in smart mobile phones, radio frequency identification technology (RFID), and inertial guidance are all currently used in various combinations by a host of competitors (too many) to achieve required levels of accuracy, immediacy and cost.  A local industrial RFID company has just closed its doors because it simply could not compete and make money.  The simple problem was that this company’s idea, as compelling as it was, could not achieve the necessary price point, or possibly would not even work.

So we have the problem of “convergence.”  Great idea but the technology simply is not ready….yet.

I have three personal case study examples of the problem of “convergence,” that every potential entrepreneur should study. I have to admit that I was a senior executive at all three of these Silicon Valley companies, one of which actually made it to the NASDAQ exchange.  All of them had the “convergence” problem.. Too early for the available technology.

1. Silicon Graphics.  Silicon Graphics was founded in the late 1980’s by a pre-eminent Stanford professor, Jim Clark, on the idea that 3D visualization of complex problems would become the next big wave in technology. As a minor side business, it also excelled at computer animation, a growing new market of interest to Steve Jobs and others. It is now obvious that Clark was onto something that has now finally become the Next Big Thing, but at that time, the available technology simply made it too difficult and too expensive. Silicon Graphics no longer exists. Silicon Graphics crown jewel was its enabling software code, the SGI Graphics Library. It does still exist in open form.

Read more:http://mayo615.com/2013/03/31/hans-rosling-makes-visual-sense-of-big-data-analytics/

2. iBEAM Broadcasting.  iBEAM was the precursor of YouTube, but too far ahead of its time.  the founder, Mike Bowles, a former MIT professor, envisioned streaming media across the Internet, but this was in 1999.  Intel, Fox Entertainment, Reuters, Bloomberg, Microsoft were all involved, some investing significant sums in the company. We tried mightily to make it happen for Mike, but there were technology convergence problems.  The Internet at that time simply did not have sufficient reliable broadband capability.  In 1999 the vast majority of Internet users still used a dial-up connection.  The company, with help from Microsoft and its other big pockets investors turned to satellite transmission, which is immensely expensive.  I did learn a lot about the satellite business. Great idea, way too early, and the company failed early.

3. P-Cube.  In 2001, I was approached by prominent friends at two downtown Palo Alto venture capital firms to consider joining an Israeli startup in which they had invested. The idea was wildly popular at the time….traffic policy management and so-called Internet traffic shaping.  I enthusiastically joined the new company and became its first U.S. based employee.  The compelling idea was simple, make money by charging for bandwidth. The background idea was to enable deep IP packet payload snooping to prioritize traffic, but also for its political potential. This is the technology that Dick Cheney employed after 9/11 to snoop all Internet traffic.  The only problem was that the technology was simply not yet ready.  The P-Cube Internet traffic switch was a 24 layer printed circuit board (hideously difficult to fabricate), with 5 IBM PowerPC chips, 1 Gig of onboard memory (at the time bleeding edge, but today laptops have more memory), a host of “application specific integrated circuits” (ASIC), and to top it off a proprietary software language to program the box.  In the end, P-Cube burned up $100 Million in venture capital, and I had great fun traveling the World selling it, but the box never worked, largely because the technology simply was not there..  P-Cube’s assets were bought by Cisco Systems and t0day such capability is built into the boxes of Cisco System, Juniper Networks and others.

The key takeaway lesson from this: do not underestimate the importance of technology convergence with a great idea.

Engineer Into The Workforce

Engineer into the Workforce presentation to The University of British Columbia, School of Engineering, 4th year Capstone Project course. November 2, 2016


Presentation given to today, to the UBC School of Engineering Capstone course

New Accelerate Okanagan Report On Tech Industry: Devil Is Again In the Details

Accelerate Okanagan should be commended for publishing a document, the stated goal of which is to “assist in attracting new talent, companies, and potential investors to the Okanagan, as well to inform policy makers and the media.” Such reports are commonly used to promote a community or region’s economy. However, as with the earlier 2015 report, there are persistent issues, particularly with the industry definition and methodology of the study. The result is questionable data and numbers that simply do not pass a basic “sniff test.” Accepting the results of this study as published may only serve to mislead community leaders on planning, and mislead prospective entrepreneurs considering relocating here.


Problems Persist With New 2016 Accelerate Okanagan “Tech Industry Analysis”

aoeconomicimpact2016

 Accelerate Okanagan should be commended for publishing a document, the stated goal of which is to “assist in attracting new talent, companies, and potential investors to the Okanagan, as well to inform policy makers and the media.”  Such reports are commonly used to promote a community or region’s economy. However, as with the earlier 2015 report, there are persistent issues, particularly with the industry definition and methodology of the study.  The result is questionable data and numbers that simply do not pass a basic “sniff test.” Accepting the results of this study as published may only serve to mislead community leaders on planning, and mislead prospective entrepreneurs considering relocating here.

I taught Industry Analysis at the University of British Columbia, and my entire career has been in high-tech in Silicon Valley and globally, beginning with many years at Intel Corporation, so my assessment is exclusively from a professional perspective. A PowerPoint presentation of my work in this area is posted on this website, under the heading Professional Stuff.

The report begins by explaining that the study was completed by an unnamed third party, apparently affiliated with Small Business BC.  A review of the Small Business BC website, staff, and services indicates the organization is almost exclusively organized and resourced to provide services only to individual small businesses. For example, scanning SBBC’s “Market Research” heading, it indicates that its services are focused entirely on smaller scale research for an individual small business, not a large scale analysis of an entire industry in a region.  Industry analyses of such scale are better suited to a local educational institution like UBC, with all the requisite skills and resources.  Though I have no inside knowledge, it seems reasonable to surmise that some degree of budgetary constraint and political influence were involved in the selection of SBBC, and a desire to emphasize local promotion over objective accuracy.

With regard to methodology and industry definition, the Report states that it follows the methodology of British Columbia’s High Tech Sector Report, the most recent of which is from 2014. A closer look at this methodology can be found on the provincial government website. A separate document is listed, “Defining the British Columbia High Technology Sector Using NAICS,” published fifteen years ago in 2001. My review of this document indicates that while it offers some useful discussion, it is seriously out of date and in need of revision.  A more professional approach would have required the development of a more current methodology relevant to the Okanagan situation. The BC methodology document does provide some very cogent cautionary remarks on high-tech industry definition and methodology:

The “high technology” sector is a popular subject of discussion and analyses, partly because it is viewed as an engine of growth both in the past and for the future. However, the high-technology sector has no specific and universally accepted definition. Defining and measuring the high technology sector can be done as part of basic research at the level of individual firms. A second, more “modest” approach uses pre-existing data collected on “industries” which are defined for general statistical purposes. The challenge is to determine which of these industries warrants inclusion in the measurement of the high technology sector.

The AO Report author seems to have accepted both approaches. Page 4 of the Report explains that the author decided to also include “the previous survey undertaken by Accelerate Okanagan.”  The previous AO survey was simply a Survey Monkey survey submitted by individual local businesses. The results were apparently compiled without additional professional judgment applied, or follow-up contact with companies by phone or other means and cross-referencing with the more “modest” macro data methodology mentioned in the 2001 BC document. IMHO, if my assumptions are correct, the Survey Monkey data should have been thrown out as unreliable, or regenerated with much greater scrutiny and judgment applied.

Then there is the issue of Kelowna as an employment market, as noted in the recently reported Bank of Montreal (BMO) and BC Business low national and provincial rankings of Kelowna’s employment market. These issues have also been reported in KelownaNow.  Hootsuite, whose founder is from Vernon, consciously chose Vancouver to start his company.  CEO Ryan Holmes openly admitted that he did not base Hootsuite in the Okanagan because he knew he would not be able to attract the necessary talent here. It is also important to note that a significant number of local business and community leaders met with the BC Labour Minister and reported that their primary concern was a lack of Temporary Foreign Workers, not economic development or the growth of the local high-tech industry.

The AO Report touches on these issues only very tangentially and indirectly in the closing pages. A more credible approach would have been to confront these local problems directly, citing the BMO report for example, and what AO and the community plan to do about it.  Clearly, there are unresolved and ignored contradictions with the AO report that damage its credibility and usefulness.

Finally, this week’s media coverage of the report has died down, having duly reported all the desired sound bytes, but a Google search shows that the media coverage has so far been nearly exclusively from the local Okanagan media which does not meet the stated goal of the AO effort to broadcast the promotion beyond the Okanagan.

Read the complete AO September 2016 report here:

Click to access Economic_Impact_Study_2015_Edition.pdf

MAYO615 REPOST from January, 2015:

AO Tech Industry Report Lacks The Rigor Necessary To Give It Much Credibility

Read the AO January 2015 press release and access the full report here

The AO report’s “economic impact” conclusions are based on 2014 Survey Monkey voluntary responses, which are problematic due to an apparent lack of critical assessment. The report does not follow the kind of rigorous industry analysis performed by leading technology consultancy firms like International Data Corporation (IDC) or Gartner. The definition of an “industry,” for example the “automobile industry in Canada,” involves broad activity around all aspects of “automobiles,” but at some point, firms like Kal Tire or “Joe’s Brake Shop” might be excluded from a definition of the automobile industry.  The report does not mention the rigor applied to this industry analysis, so the question is left open, “What exactly is the “tech industry” in the Okanagan?”  A well-defined $1 Billion industry is the mobile advertising industry in Canada.  Is that what we have in the Okanagan? By way of comparison, I reported on New Zealand’s Ice House tech incubator economic impact report, which has much greater credibility.  The AO report is essentially claiming that the Okanagan technology economy is more than twice the size of New Zealand’sThat’s too big of a leap of faith for me. Read New Zealand’s Ice House Startups Achieve Impressive Results and contrast it with the AO report.

Then there is the issue of Kelowna as an employment market, as noted in the recently reported Bank of Montreal (BMO) and BC Business low national and provincial rankings of Kelowna’s employment market. These issues have also been reported in KelownaNow. Clearly, there are unresolved contradictions with the AO reports.

Read More: Kelowna’s Low Jobs Ranking

Read More: Okanagan economy likely to worsen next year

I offer a summary view of “industry analysis” here: Industry Analysis: the bigger picture