Web/Tech

  • Before and After The Snap: What Can Business Learn From Football?

     
    Nonetheless, I am impressed by the product NFL teams put on the field week-after-week and year-after-year.
     
    Recently, I took some friends to The Star, which is the Cowboys' new world headquarters and training facility  (and, as a side note, cost more to build than the Cowboys' stadium).
     
     
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    This post seems like it is about football … but it is really a playbook of things we can do in business.

    What Can Business Learn From Football Teams?

    If you get a chance to watch an NFL practice … I highly recommend it.   It is an awesome experience and opportunity for a businessperson. 

     
    Each time I've watched a practice session I've come away impressed by the amount of preparation, effort, and skill displayed.
     
    The Cowboys' coach is Jason Garrett.  He is detail-oriented and intellectual.  His pedigree … he is a Princeton graduate who played quarterback in the NFL.

     

    171111 HMG and Jason Garrett 2

     

    During practice, there's a scheduled agenda. Practice is broken into chunks, and each chunk has a designed purpose and a desired intensity.  There's a rhythm, even to the breaks.

    Every minute was scripted.  You could tell there was a long-term plan … but, there was also a focus on the short-term details (many details).

    They alternate between individual and group drills.  Moreover, the drills run fast … but for shorter time periods than you'd guess.  It is bang-bang-bang – never longer than a millennial's attention span.  And they move from drill to drill – working not just on plays, but the skillsets as well (where are you looking, which foot do you plant, how do you best use your hands, etc.).

    They use advanced technology (including advanced player monitoring, bio-metric tracking, and medical recovery devices … but also things like robotic tackling dummies and virtual reality headsets). 

    They don't just film games, they film the practices … and each individual drill.  Coaches and players get a cut of the film on their tablet as soon as they leave.  It is a process of constant feedback, constant improvement, or constant renewal.

    How you do one thing is how you do everything.  So, they try to do everything right. 

    Pro football is one thing. College football is another. But, even in high school, the coaches have a game plan. There are team practices and individual drills. They have a depth chart, which lists the first, second, and third choice to fill certain roles.

    The focus is not just internal, on the team.  They focus on the competition as well.  Before a game, the coaches prepare a game plan and have the team watch tape of their opponent in order to understand the tendencies and mentally prepare for what's going to happen.

    During the game, changes in personnel groups and schemes keep competitors on their toes and allow the team to identify coverages and predict plays. Coaches from different hierarchies work in tandem to respond faster to new problems. 

    After the game, the film is reviewed in detail. Each person gets a grade on each play, and the coaches make notes for each person about what they did well and what they could do better.

    Think about it … everyone knows what game they are playing … and for the most part, everybody understands the rules, and how to keep score (and even where they are in the standings).

    Imagine how easy that would be to do in business.  Imagine how much better things could be if you did those things.

    Challenge accepted.

     
  • What Do You Buy Someone Who Has Everything?

    I'm getting cynical, I understand planned obsolescence … but has it occurred to you that Apple could make their phones act sluggish just before the launch of a new version?  

    My phone has been driving me nuts.  So, (as I write this) I'm up at 2 am to place my order for the new iPhone X.

    On one hand, it satisfies my desire for the new and shiny … but, on the other hand, it makes it harder for my wife.

    Buying gifts is often hard. But it gets harder when the giftee already has everything (or buys it himself).

    That is where Neiman Marcus comes in.

    Every year since 1959, Neiman Marcus has published a Christmas Book. Primarily comprised of normal Neiman Marcus offerings … the book also contains pretty amazing "fantasy" gifts.  For example, who doesn't want a rose-gold Cobalt Valkyrie-X private plane (worth $1.5 million) …

     

    10252017 plane

    Neiman Marcus

     

    I don't know about you, but it's a little feminine for me.

    Or, there is a private Submarine (worth $20,000,000). 

     

    10252017 sub

    Neiman Marcus

     

    But that is only good if you don't have one already.

    You can check out NM's 2017 Fantasy Gift List, here, and get a personal trip to Champagne, France or a pair of specially commissioned His and Hers Rolls Royces. 

    Let me know if you have any good gift ideas.  I'm always looking for them.

  • Ryan Deiss on AI and Its Intersection With Humanity

    This is the golden age of Artificial Intelligence, machine learning, and process automation.  It is beginning to affect everything.

    But, what it means is up for interpretation.  For example, one of the top digital marketers remains largely unfazed. Below is a video I did with Ryan Deiss, who has a different perspective on AI than I do.  

    Check it out:

     

    Ryan understands that marketing relies heavily on data-analytics and automation … but he believes that it is also reliant on the personal touch.

    Similarly, a friend and advisor sent me a link to a post where a fund manager made a similar argument about trading.

    I agree that people are still a vital aspect of many businesses, and can't be fully replaced. However, I am dramatically more bullish on AI and its future and impact.

    In many instances, today, what passes as AI is just an elegant use of brute force.

    Nonetheless, AI is great at solving problems … and is becoming increasingly able to digest and perform complex tasks (including tasks formerly thought of as done exclusively by humans). 

    Ryan believes that the best AI makes a conversation more human (in regards to selling and retail) and allows humans to be more human.  In other words, as technology frees people up – they are free to spend their time on more valuable tasks and processes.

    This has happened many times in society.  Fewer people work in farming or manufacturing … and yet there are more people doing more jobs. 

    So, obviously, in the same way that mechanization freed up workforces for better jobs, AI can do the same. 

    Realize, however, that human perception is linear … while technological growth is exponential.  Consequently, we probably do not know what AI will give (or take from) humans.

    Only time will tell.

    Meanwhile, some of the biggest companies are making big bets on R&D.

     

    171021 Top Corporate RandD Spending

    via Bloomberg

    A reminder … the best way to predict the future is to invent it.

    Onwards!

  • Defining A Meaningful Life – Howard Getson on The American Dreams Show

    Recently, I was interviewed on The American Dreams Show. with Alan Olsen.

    Alan is a wealth manager to the ultra-wealthy.  His American Dreams show is very popular in Silicon Valley.

    It's a show about finding your path in life, and making businesses thrive through adversity and challenging economic times. 

    We talked about my career path and how I went from a young lawyer to spending over 25 years running tech companies … and we talked about the lessons I learned along the way.

    It is different than other interviews I've done.  Take a look.

     

    via The American Dream (transcript is here

    I also encourage you to check out some of the other American Dream interviews.

    Good stuff!

  • Gartner’s 2017 Hype Cycle for Emerging Technologies Identifies Innovations Worth Monitoring

    There's a lot of "hype" these days.  Social media and tools like Kickstarter would have you believe that every new idea is the "next big new thing".

    In contrast, Gartner's Hype Cycle Report 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, contextually understandable, snapshot of where various emerging technologies sit on the hype cycle.

    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?"

     

    What's a "Hype Cycle"?

     

    As technology advances, it is human-nature to get excited about the possibilities we imagine … and then 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. 

    At this point in time, Machine Learning/Deep Learning and Connected Homes are at the peak of their hype cycles … Meanwhile, Augmented Reality and Blockchain have matured past the hype phase (with Self-Driving Cars following close behind).  

    This year, according to Gartner, there are three overarching "mega-trends" to watch. 

    • AI Everywhere shows the transition towards a ubiquitous AI experience, from self-driving cars, to machine learning, and to smart robots.  Consider the impact on traffic/accidents with the adoption of autonomous vehicles, or the ability of machine learning to process more data faster. 
    • Transparently Immersive Experiences shows our transition towards human-centric contextual and fluid technological experiences.  – like Connected Homes or Virtual Reality. Consider the impact of Augmented Reality on advertisements or gamification. 
    • Digital Platforms shows the transition of emergent platforms into adoption. Platforms like Blockchain, IoT,  and Quantum Computing. Consider the effects of bitcoin and other blockchain initiatives, as well as the opportunity for new business models centered around these platforms.

     

    Here is the chart. You can click the image to see it larger. 

     

    Emerging-Technology-Hype-Cycle-for-2017_Infographic_R6Avia Gartner

    For comparison, here is the chart from last year; and you can check out my article on 2015's hype cycle here.

    via Gartner

    The hype cycle gives us an idea of which of these technologies will likely survive the market hype and have a potential to become a part of our daily life. 

    Here are the five regions of Gartner's Hype Cycle framework:

    1. Innovation Trigger (potential technology breakthrough kicks off),
    2. Peak of Inflated Expectations (Success stories through early publicity),
    3. Trough of Disillusionment (waning interest),
    4. Slope of Enlightenment (2nd & 3rd generation products appear), and
    5. Plateau of Productivity (Mainstream adoption starts). 

      

    Which technologies do you think are over-hyped … and which ones might survive the hype?

    I find this stuff fascinating.  Consider some of the interesting technologies just starting their hype cycle:

    We live in amazing times! 

    Onwards. 

  • How Many People Lie To You On Social Media?

    Social Media often becomes a "best-of" reel of our lives … carefully curated to show off our best selves. 

    Imagine what that leads to for us and our children … ??

    It is tough to live up to your social media standards (let alone to keep up with others').

    This  Instagram model (apparently, that's a thing now) with over half a million followers took to changing her captions to display the falsehoods

     

    anti-social-media-lets-be-game-changers-essena-oneill-2

    via The Guardian

     

    How tempting is it to photoshop (or embellish) a little?  In a recent survey of 2000 British people, more than 75% admitted to lying about themselves on social profiles.

    Here is a chart ranking the most common topics people are most dishonest about.

     

    1-Infographic-Web-Of-Lies-Most-Common-Falsehoods-Told-On-Social-Media2

    via 10Awesome

     

    Fake photos, fake ownership, and relationship lies top the list.  

    There was something magical about taking a trip back before everything was a camera.

  • What Is Machine Learning?

    Machine Learning is a broad term … Essentially, it's a method of data analysis that automates the process of building models.

    That means instead of having a programmer figure out how to solve a problem, you have the program figure out how to solve the problem. 

    While you probably know the basics, wisdom comes from making finer distinctions. 

    So, here is a chart that sheds some light on the current state of Machine Learning.

     

    812017 Machine Learningvia techleer

    Also, if you are interested, here is a list of some other good visual summaries and articles about AI and Machine Learning:

     

  • How Amazon’s AI Is Changing How You Stock A ‘Pantry’

    Normally, we see stores and warehouses organized by section – Cereals, Cheese, Fruit. This makes sense because as humans, it's easier to find everything if it's organized logically for us. 

    Amazon is changing that. 

    Their new service, "Prime Now," promises thousands of items delivered to you in around an hour.

    That level of immediacy and activity creates an interesting set of logistical problems.  For example, how would you organize the warehouse to enable that level of service?  The answer might surprise you.

     

    Tech Insider via Yahoo

    The answer is you don't.  If you walked into one of Amazon's PrimeNow warehouses, you'd see a bunch of pods with random items next to each other.  You might find cleaning supplies next to a children's toy, or maybe even an adult toy. 

    While this may seem weird or counter-intuitive … with numerous "shoppers" all going through the warehouse at the same time, if the warehouse was organized by category or popularity,  the result would be traffic jam bottlenecks and less throughput. 

    By organizing items randomly, and having the list of items ready ahead of time, Amazon's computers can create an optimum path for each "shopper" that takes into account the position of the items, where the checkout is, and where other shoppers are grabbing items.  

    That optimum path is critical in getting your order on time.   This is another example of organized chaos – where human logic (or common sense) is not the most efficient or effective path to an optimal solution.

    Pretty Cool!