Augmented Reality Defined with Opportunities

Now that the Three Digital Accelerators have improved enough to enhance smart glasses, consumer use will increase. Imagine walking down a busy street in New York City searching for the perfect slice of pizza. It would benefit you to be wearing AR glasses that can quickly scan the area for a highly recommended restaurant per consumer reviews. Wearing the technology rather than having your eyes divert to your phone is faster and safer.

Several years ago, I started using an augmented reality (AR) app for my smartphone whenever I ventured into the mountains. It was quite useful; I could point my device at any mountain to see information overlaid on the image. When I moved my device around, the information changed to correspond with what I saw.

Google Glass was an early example of AR glasses. However, the Three Digital Accelerators(computing power, digital storage and bandwidth) I first identified in 1983 as the drivers of predictable exponential change were not advanced enough when this product emerged, and miniaturization of components had not reached the level needed to make the glasses look like regular glasses.

While few consumers tried them, Google Glass opened the eyes of entrepreneurs to see future possibilities. Surgeons used Google Glass to watch a patient’s vitals without taking their eyes off the surgical area, warehouse workers used them to locate products needing boxing, and universities used them to enhance student engagement in science lab classes.

The Future of AR

Now that the Three Digital Accelerators have improved enough to enhance smart glasses, consumer use will increase. Imagine walking down a busy street in New York City searching for the perfect slice of pizza. It would benefit you to be wearing AR glasses that can quickly scan the area for a highly recommended restaurant per consumer reviews. Wearing the technology rather than having your eyes divert to your phone is faster and safer.

I envision that the earpiece of your AR glasses will act as a rheostat, allowing you to fade the information in or out. As a keynote speaker, wearing a pair of AR glasses that allow me to see the names of audience members would be helpful, and by adjusting the fade control, turning off the information as needed will be helpful. This does not exist – yet. One of the principles I teach is “If it can be done, it will be done, and if you don’t do it, someone else will.”

It’s clear that practical uses for AR are ripe with opportunity. After acquiring smart glasses lens manufacturer Akonia Holographics in August 2018, Apple has been working on AR products. This positions the company to positively disrupt the industry, along with Microsoft and Facebook, which are working on AR glasses of their own.

Outside the US, Chinese technology giant Huawei is creating its own version of smart glasses. Its latest device, the Mate 20 Pro smartphone, already utilizes augmented reality apps predominately, but the company suggest that AR glasses are definitely in the works.

The company will bring more AR experiences to the Mate 20 Pro so its customers can use AR more widely before releasing its smart glasses. By better perfecting the user experience, they are pre-solving predictable problems, following one of my core principles.

Outside of AR, Huawei is a serious player in consumer electronics. It recently displaced Apple as being the world’s second-largest smartphone maker, expanded its digital products and even ventured into the world of smart speakers.

In comparison with virtual reality (VR), AR is developing faster for several reasons.

1)   VR requires the user to be cut off from the real world in order to be fully immersed in a virtual world,while AR allows the user to see the real world simultaneously.

2)   VR requires time-intensive graphic programming in order to create a photo-realistic 3D world, limiting the ability to attract the talent needed to grow as fast as AR.

3)   VR headsets are cumbersome compared to AR glasses.

Augmented reality represents a new platform for launching game-changing products and services. If you want to profit from this fast-growing industry, focus on being anticipatory by identifying the Hard Trends that are shaping the future and their related opportunities to lead change.

If you would like to learn how to become more anticipatory in the new world of augmented reality, be sure to pick up my latest book The Anticipatory Organization today!

How to Optimize Your SERP Features

https://monetize.info/optimize-serp-features/

Google’s search engine results page, or SERP, has been steadily evolving along with all other aspects. Do you know all the Google SERP features? Find out how to optimize your site to dominate the first page with site links, videos, reviews…

Shaping the Future of A.I.

One of the biggest news subjects in the past few years has been artificial intelligence. We have read about how Google’s DeepMind beat the world’s best player at Go, which is thought of as the most complex game humans have created; witnessed how IBM’s Watson beat humans in a debate; and taken part in a wide-ranging discussion of how A.I. applications will replace most of today’s human jobs in the years ahead.

Way back in 1983, I identified A.I. as one of 20 exponential technologies that would increasingly drive economic growth for decades to come. Early rule-based A.I. applications were used by financial institutions for loan applications, but once the exponential growth of processing power reached an A.I. tipping point, and we all started using the Internet and social media, A.I. had enough power and data (the fuel of A.I.) to enable smartphones, chatbots, autonomous vehicles and far more.  

As I advise the leadership of many leading companies, governments and institutions around the world, I have found we all have different definitions of and understandings about A.I., machine learning and other related topics. If we don’t have common definitions for and understanding of what we are talking about, it’s likely we will create an increasing number of problems going forward. With that in mind, I will try to add some clarity to this complex subject.

Artificial intelligence applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, decision trees and machine learning to recognize patterns from vast amounts of data, provide insights, predict outcomes and make complex decisions. A.I. can be applied to pattern recognition, object classification, language translation, data translation, logistical modeling and predictive modeling, to name a few. It’s important to understand that all A.I. relies on vast amounts of quality data and advanced analytics technology. The quality of the data used will determine the reliability of the A.I. output.  

Machine learning is a subset of A.I. that utilizes advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon’s Alexa, Apple’s Siri, or any of the others from companies like Google and Microsoft all get better every year thanks to all of the use we give them and the machine learning that takes place in the background.

Deep learning is a subset of machine learning that uses advanced algorithms to enable an A.I. system to train itself to perform tasks by exposing multi-layered neural networks to vast amounts of data, then using what has been learned to recognize new patterns contained in the data. Learning can be Human Supervised Learning, Unsupervised Learning and/or Reinforcement Learning like Google used with DeepMind to learn how to beat humans at the complex game Go. Reinforcement learning will drive some of the biggest breakthroughs.

Autonomous computing uses advanced A.I. tools such as deep learning to enable systems to be self-governing and capable of acting according to situational data without human command. A.I. autonomy includes perception, high-speed analytics, machine-to-machine communications and movement.  For example, autonomous vehicles use all of these in real time to successfully pilot a vehicle without a human driver.  

Augmented thinking: Over the next five years and beyond, A.I. will become increasingly embedded at the chip level into objects, processes, products and services, and humans will augment their personal problem-solving and decision-making abilities with the insights A.I. provides to get to a better answer faster.   

A.I. advances represent a Hard Trend that will happen and continue to unfold in the years ahead. The benefits of A.I. are too big to ignore and include:

  1. Increasing speed
  2. Increasing accuracy
  3. 24/7 functionality
  4. High economic benefit
  5. Ability to be applied to a large and growing number of tasks
  6. Ability to make invisible patterns and opportunities visible

Technology is not good or evil, it is how we as humans apply it. Since we can’t stop the increasing power of A.I., I want us to direct its future, putting it to the best possible use for humans. Yes, A.I. — like all technology — will take the place of many current jobs. But A.I. will also create many jobs if we are willing to learn new things. There is an old saying “You can’t teach an old dog new tricks.” With that said, it’s a good thing we aren’t dogs!

Start off The New Year by Anticipating disruption and change by reading my latest book The Anticipatory Organization. Click here to claim your copy!

How to Do Keyword Research to Rank

“person using MacBook Pro” by rawpixel on Unsplash

What you type to do a search on Google or other search engines is known as “keyword research”.

A search engine optimization analyst understands the implication and importance of keyword research. It ascertains the rankings and worth of your website through the right placement of keywords. Who knows better than a blogger or website owner the importance of good ranking for a website to sustain on Google? Therefore, it has been emphasized that a marketer should always do proper keyword research for every article and make sure that it is judiciously included in the content. The writers should explicitly know the importance and the conditions relative to the keyword proposition.


While researching for the keyword domain for your niche market, you get to learn about the terms that are relative and can be targeted with SEO. You get to learn about the choices and preferences of customers as well.

So let us learn as how to carry on the keyword research so that we get maximum traffic and higher rankings for your website

Lay foundation with the ‘SEED KEYWORDS’


The seed keywords are the foundations of the keyword research. These keywords help in defining the niche segment for the content and identifying the prevalent competition.

If you are looking forward to promoting your business online, seed keywords will play an important role in defining your product and its keyword searches.

For example, if you are selling Reebok brands shoes in your store, the seed keywords can be

– Reebok shoes

– Reebok latest trends

Find relevant keywords and terms


Since now you have specified the seed keywords, it is the time to research for the other relevant keywords and terms related to your content. These can be the phrases that are not so concise but define your business with the extension of a few words. Such keywords are meant to cover those customers who are not sure of their research keywords. For example

If you are selling Reebok shoes, the customer may type

– Latest branded shoes

– Designer Reebok

In order to navigate the customers to the right path, these keywords can play a very significant role. You get better business leads through these keywords as the redundant searches also direct prospective buyers and readers on to your page.

Choose your approach


This is a vast topic! Bloggers and website owners have different reasons and approaches for being in the market. While some people come with monetization approach, there are others who want to establish their brand presence through online promotions. Similarly, there can be various other concepts that specify their online marketing needs.

Clearly define your approach and find keywords according to it.

Let us detail you with examples

If your approach is to monetize your blog, learn about the methods of monetization. Affiliate marketing, associate programs, Google Adsense, sponsored advertisements etc are popular monetization concepts.

Start with one approach, think of yourself as a customer for your own product and try to gather the keywords that will lead you to those web pages.

Photo by Ciprian Boiciuc on Unsplash

Similarly, if your approach is to establish a ‘niche’ in the market, you need to write down the keywords that help you define the “niche”. For example, if you are selling Buddha paintings, look out where your buyers and admirers are present through keywords such as

– Love for Buddha

– Buddha arts

– Buddha on canvas etc

Classify your approach it will help in defining your keyword research.

Head terms and extended tail keywords

Head terms are the phrases that are generic, crisp and specified to 2–3 keywords while the extended tail keywords are long keywords with more than 3 keywords.

What you have to do is to generate a healthy mix of these keywords in your content. It will spare you from missing on any opportunity from customers who use different keywords for their searches.

Use Google Adwords Keyword planner to your aid


‘Google Adwords Keyword Planner’ helps in estimating the search volumes and traffic for keywords. You can reject the less important keywords through these tools which are aided by the keyword planner. It facilitates you to check the projections and trend history for the keywords in Google trends that will help in deciding whether to keep that keyword or not!

Our “Happy Dance” Conclusion


The right topics for your content help in bringing your online business on the right track. Your rankings get improved and volumes of people start visiting your website. Therefore, make sure you evaluate your keywords precisely before you publish them. You will be happy that you did your keyword research prior to implementation.