The Hype Cycle provides the raw material for some of my favorite posts every year.
In general, as technology advances, it is human nature to get excited about the possibilities and to get disappointed when those expectations aren't met.
At its core, the Hype Cycle tells us where in the product's timeline we are, and how long it will take the technology to hit maturity. It attempts to tell us which technologies will survive the hype and have the potential to become a part of our daily life.
Gartner's Hype Cycle Report is one of my favorites. It is a considered analysis of market excitement, maturity, and the benefit of various technologies. It aggregates data and distills more than 2,000 technologies into a succinct and contextually understandable snapshot of where various emerging technologies sit in their hype cycle.
Here are the five regions of Gartner's Hype Cycle framework:
- Innovation Trigger (potential technology breakthrough kicks off),
- Peak of Inflated Expectations (Success stories through early publicity),
- Trough of Disillusionment (waning interest),
- Slope of Enlightenment (2nd & 3rd generation products appear), and
- Plateau of Productivity (Mainstream adoption starts).
Understanding this hype cycle framework enables you to ask important questions like "How will these technologies impact my business?" and "Which technologies can I trust to stay relevant in 5 years?"
Another methodology uses frequency analysis to identify the "most hyped" concepts and technologies.
VisualCapitalist recently put together an infographic highlighting the most hyped technologies of each year. They call it the "Peak of Inflated Expectations".
(Click To See Full Infographic) via VisualCapitalist
Here's a Summary of the most hyped technologies, by year, since 2000.
- 2000 - Wireless Web, ASPs, Bluetooth
- 2001 - Web Services, Enterprise IM, m-Commerce
- 2002 - Biometrics, Grid Computing
- 2003 - Process Portals
- 2004 - Micro Portals, Virtual Content Repositories
- 2005 - P2P VOIP, Biometric ID Documents, BPM Suites
- 2006 - Mashup, Web 2.0
- 2007 - Legal P2P, Digital Video Broadcasting
- 2008 - Green IT
- 2009 - Cloud Computing, e-Book Readers, Social Software Suites
- 2010 - 4G Standard, Activity Streams
- 2011 - Internet TV, NFC Payment, Augmented Reality
- 2012 - BYOD, 3D Printing, Complex Event Processing
- 2013 - Big Data, Gamification, Wearable User Interfaces
- 2014 - IoT, Natural-Language Question Answering, Cryptocurrencies
- 2015 - Speech-To-Speech Translation, Advanced Analytics, Autonomous Vehicles
- 2016 - Blockchain, Cognitive Expert Advisors, Machine Learning
- 2017 - Virtual Assistants, Connected Home, Deep Learning
- 2018 - Biochips, Digital Twin, Deep Neural Networks
- 2019* - 5G, AI PaaS, Graph Analytics
*Missing from the infographic, but updated by Gartner
As we take our smartphones for granted, it's hard to imagine bluetooth, wireless web, or e-book readers as emerging technologies at this point - but at a time, the lightbulb was an emerging technology.
It's also interesting to look at which technologies peaked in a hype cycle, or which now popular technologies don't show up on this list. Despite Virtual Reality being around since the 80's, I expected to see it on this list.
Cryptocurrencies, "smart homes", and several older examples are fizzling or burnt out - but that doesn't mean they won't have resurgences.
As a reminder, the hype cycle and the innovation/adoption cycle are often on very different time scales. It's very possible that technologies from the early 2000s may still have their heyday.
What are you surprised wasn't on the list? And, what do you think is about to get added?
Super Bowl 2020
It's not just the fans that are excited about the matchup, it's also the bookies. Two years ago, gamblers set a record by placing $158.6 million in Super Bowl bets. Expect more of the same with gambling now legalized in an additional 13 states beyond Nevada.
The theory is that a Super Bowl win for a team from the AFC foretells a decline in the stock market and a win for the NFC means the stock market will rise in the coming year. So, if you're hoping for a strong S&P you'd be rooting for 49ers.
There's one big caveat ... it counts the Pittsburgh Steelers as NFC because that's where they got their start (or as a data scientist would caution ... they did that to fit the data better).
With that "adjustment," at one point the SBI was "right" 33 years out of 41 - an 80% success rate. Sounds good, right?
Come on ... you know better. It's been wrong four of the last four years ... another sign of spurious correlation if you weren't sure.
Here are some other "fun" stock market fallacies:
Back to Reality
Rationally, we understand that football and the stock market have little in common, and we probably intuitively understand that correlation ≠ causation. Yet, we crave order and look for signs that make markets seem a little bit more predictable.
The problem with randomness is that it can appear meaningful.
Wall Street is, unfortunately, inundated with theories that attempt to predict the performance of the stock market and the economy. The only difference between this and other theories is that we openly recognize the ridiculousness of this indicator. More people than you would hope, or guess, attempt to forecast the market based on gut, ancient wisdom, and prayers.
While hope and prayer are good things ... they aren’t good trading strategies.
As goofy as it sounds, some of these "far-fetched" theories perform better than professional money managers with immense capital, research teams, and decades of experience...
I have a thought experiment I sometimes ask people.
What percentage of active managers beat the S&P 500 any given year?
... Now, what percentage beat the S&P 500 over 15 years?
Recently, the answer is about 5% (and that's in a predominantly bull market). For the record, that's significantly worse than chance. Perhaps that means something they're doing is hurting, not helping.
via Gaping Void
There's simply too much information out there for us to digest, process, rank, and use appropriately.
Every second you spend looking at a market is a second wasted.
There are people beating the markets — not by using the Super Bowl Indicator ... they're doing it with more algorithms and better technology.
There will never be less data or slower markets. A good reminder that if you don't know what your edge is ... you don't have one!
Onwards.
Posted at 04:07 PM in Business, Current Affairs, Games, Ideas, Just for Fun, Market Commentary, Science, Sports, Television, Trading, Trading Tools | Permalink | Comments (0)
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