Capitalogix

Wealth Formula - Howard Getson and Buck Joffrey Talk The Future of Trading

I'm excited ... because I've been at Joe Polish's Genius Network Annual Event this weekend.

Genius Network is a business group that also serves as an advisory board, counselor's office, and idea factory. 

It brings brilliant minds and industry transformers together in a forum focused on innovation, creative disruption, and possibility. 

Peer groups, like this, help you set (and raise) standards. 

They help bring new capabilities, but also new possibilities, new found energies and a reconnection to your purpose, mission, and values. 

This is a great place to meet extraordinary people. 

Buck Joffrey is one of them. He is a doctor, an international best selling author, member of Genius Network, and host of WealthFormula (which is a podcast where he educates professionals on how to build lasting wealth). 

 

Buck recently interviewed me for WealthFormula.  We talked about old-world trading versus new-world trading ... and where I think A.I and Machine Learning have the best opportunities to add alpha and help investors make and keep more money.

You can listen to it below (or subscribe to his podcast on iTunes, Android, or RSS).

WFP-077-Howard_Getson

 

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.

 

via Bloomberg

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

Onwards!

Here Are Some Links For Your Weekly Reading - October 15th, 2017

Here are some of the posts that caught my eye recently. Hope you find something interesting.

 

 

Lighter Links:

• Radical Candor Will Help Managers Balance Accountability and Empathy. (SmallBizTrends)
• Pretending to Be Batman Helps Kids Stay on Task. (Digest)
• The Secrets of Disneyland: a Company Vet Explains How the Magic Happens. (FastCompany)
• What Actually Happens When You Pull a Muscle? (Popular Science)
• Now that Anyone Can Hack BiologyShould We Be Afraid? (SingularityHub)

Trading Links:

• How to Destroy Our Economy. (Forbes)
• Bulldozers Can Show You Where the Economy's Going before the Official Data Do. (Bloomberg)
• JPMORGAN: Here's What Could Cause the next Financial Crisis. (BusinessInsider)
• Goldman Sachs to Explore Starting Bitcoin Trading Venture. (Bloomberg)
• AI Will Eliminate 1.8M Jobs but Create 2.3M by 2020, Claims Gartner. (TechRepublic)

Here Are Some Links For Your Weekly Reading - October 8th, 2017

 Old people and their joints ... it's becoming an issue. 

 

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

• Why Culture Doesn't Just Beat Strategy, It Must Be the Strategy. (Inc)
• Google Reveals the Top Things People Want to Find out How To' Do. (TechCrunch)
• Pain Leads to Empathy and Self-preservation: Should We Make Robots Feel' It? (Aeon)
• Gartner's Hype Cycle for Emerging Technologies Adds 5G and Deep Learning. (Forbes)
• Hostile Terrain: Tank Traps, Fake Towns & Secret Tunnels of the Korean Borderlands. (99PercentInvisible)

Trading Links:

• Seventy-Eight Billion Reasons Why Bitcoin Is the New Gold. (Globe&Mail)
• Amazon Wants to Open a $5 Billion Second HQ in North America. (CNN)
• Has Disruption from E-commerce Run Its Course? (Latest)
• Who Vladimir Putin Thinks Will Rule the World. (CNN)
• Employees at the World's Largest Hedge Fund Use iPads to Rate Each Other's Performance in Real-Time – See How It Works. (Insider)

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. 

 

via 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:

• Human Augmentation has the potential to enhance our bodies and minds using electrical currents, chips, or exoskeletons, but also raises ethical and legal questions. 
• Quantum Computing is still in its infancy, but could theoretically solve certain problems far faster than classical computers. 
• Smart Dust opens up the possibility of monitoring essentially everything by creating a vast network of minuscule sensors that can detect various inputs. 
• 4D Printing would theoretically allow us to print objects that reshape or self-assemble over time. 

We live in amazing times! 

Onwards. 

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.

 

via techleer

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

• Understanding Machine Learning (Futurism)
• Machine Learning Cheat Sheet (DataScienceCentral)
• The Periodic Table Of AI (XPrize)
• Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics (DSC)
• A Visual Introduction to Machine Learning (r2d3)

 

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!

Here Are Some Links For Your Weekly Reading - September 25th, 2017

Interesting week in the Twit-o-Sphere as Steph Curry and Donald Trump feud, and Ted Cruz is "caught" liking porn on Twitter. 

Who would have guessed Twitter would play such a strong a role in today's political climate?

I believe that everyone deserves the right to my opinion (as much as anyone) ... Still, sometimes silence is the best policy.

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

• This Company Wants to Grow A.I. by Using Blockchain. (CNBC)
• New Neuroscience Reveals 4 Rituals that Will Make You Happy. (TheLadders)
• Google Wants You to Know What Data It Has on You. (Fortune)
• Marriage vs. the Single Life: Who Has It Better? (PsychologyToday)
• Hackers Could Program Sex Robots to Kill. (NYPost)

Trading Links:

• One-Tenth of Global GDP is Now Held in Offshore Tax Havens. (ZeroHedge)
• Goldman Sachs Thinks Fintech Has As Much Potential as Trading. (Quartz)
• Cowboys Are World's Most Valuable Team at $4.8 Billion. (AP News)
• Social Finance: Where Wealth and Values Meet. (Forbes)
• Obama Goes from White House to Wall Street in Less Than One Year. (Bloomberg)

Here Are Some Links For Your Weekly Reading - September 17th, 2017

Hillary is now on a book tour for her new book "What Happened" ... I haven't read it, but Politifact has. 

 

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

• Hackers Have Already Started to Weaponize Artificial Intelligence. (Gizmodo)
• Your Future Sex Robot Could Be Hacked and Programmed to Murder You. (BGR)
• You Can Actually Be Allergic to Exercise. (Popular Science)
• Multivitamins a Waste of Money and Just Create 'Very Expensive Urine'. (TheGuardian)
• iPhone X Impressions: 'Striking' Display and 'Sensational-Looking' Design Make High Price Worth It. (MacRumors)

Trading Links:

• In China's Hinterlands, Workers Mine Bitcoin for a Digital Fortune. (New York Times)
• Janet Yellen Has Reached Breakfast-With-The-President's-Daughter Levels of Job Insecurity. (DealBreaker)
• Finance: How It Made Civilization Possible. (CFAInstitute)
• The Blockchain Will Do to Banks and Law Firms What the Internet Did to Media. (HBR)
• 16 Quotes from Charlie Munger, Warren Buffett's Right-Hand Man. (BInsider)

An Elegant Use of Brute Force in Photography

Photographers do some crazy things to get the perfect shot.   

Nevertheless, this photographer's approach to getting water droplets behind his model was innovative (and pretty funny).

I call it "an elegant use of brute force."

 

via PetaPixel

It's hard to argue with results ... and sometimes the answer doesn't have to be creative (it just has to work).

It's the same with modern computing.  We can perform better and faster than ever before, and a lot of it is because of prettier code, and smarter tools, and more skilled employees.  But, sometimes, what it takes is an elegant use of brute force!

Onwards.