Why nocode/Visual computing is important to a senior developer who has coded for 30+ years

Fraser Gorrie
Fraser Gorrie

UPDATE: Tuesday, March 1, 2022 2:52:05 PM
Fraser recently completed an outstanding interview where he discusses ‘nocode-first’ thinking and the power of divorcing and getting something in front of the customer early to sync with their mind’s eye. Really good interview. #nocodeapps https://tangledweb.media/channel/008-a-no-code-frame-of-mind

In this show I interview Fraser Gorrie – a senior software developer who has added Bildr to his collection of tools to build applications for his customers. Fraser has been a mentor for me in learning about software development in general and Bildr in particular. The more I learn from him the more inspired I am to continue on my own path of building web apps both for personal use and maybe even for my own business.

Listen in to find out how and why Fraser has incorporated a visual development tool into his practice, and how this impacts his business in delivering applications for clients.


So, now back to the interview I did with Fraser who is my mentor in creating nocode apps with Bildr. And urging me along to learn how to use Javascript.


Listen in to learn how and why Fraser has incorporated a visual development tool into his practice, and how this impacts his business in delivering applications for clients. Time codes are below.

I like getting right into video interviews so click and go:

0:00  Fraser’s background as an independent software developer

2:54 Javascript past, present and why it’s important  

5:30 Why did you start using a visual development environment 

8:36 Finding Bildr and how it impacts your design and the customer relations 

11:20 Keeping your options open as an independent delivering code also when needed 

15:29 Opinionated versus unopionated tools 

21:19 Using CSS in a visual computing tool – progressing from novice to intermediate expertise.

25:14 No code/visual computing tools are here to stay and the value of comparing tools

Looking for an experienced software developer for your project – Contact Fraser Gorrie www.FraserGorrie.com

Learn about Bildr at http://www.Bildr.com

Visit the Bildr Discord at https://discord.gg/JaHYapGg

Bildr Twitter https://twitter.com/bildrHQ


Too Many Products, Not Enough Service

Introducing The Questions

What if the appliances and electronics you purchase came with white-glove customer service for the whole life of the product from the manufacturer? For example, you purchase a new refrigerator and a year after you buy it the internal water filter light comes on. You have to replace it. Now what? Where is it located in the refrigerator, how do you replace it, where do you even buy one of those things? And the two big questions, how much with it cost and how big a hassle is it going to be to install? All too often products we buy are purchased from a reseller or distributor and your relationship with the manufacturer is just non-existent. So, getting answers to questions, easily and quickly, is challenging. Multiply this angst across dozens of products and appliances we use at home and you can understand both the problem and the opportunity of creating a way for you the customer to be engaged with manufacturers throughout the ownership lifecycle of a product.

What if you could ask, “Hey, Google my refrigerator needs service.” Google would then be able to ask a few follow-up questions to identify your problem, the model of your appliance and help you locate and troubleshoot the problem. We are using Google in our examples, but you can imagine this with an Alexa or a new service called Jeni.

You could then ask Google to purchase the correct water filter model for your refrigerator and tell or better show you how to install it. Some months later you can ask “Google when was the last time I replaced the water filter on my refrigerator?” Google would answer and have the filter queued up to purchase when that time came. Or, you get an alert in about a year reminding you it was time to replace the filter.

You get the idea. We face a simple fact – there isn’t enough product service for all of the technology in our modern lives from the original manufacturer. This topic is near and dear to our hearts at ConverseNow. We believe there is another way to address the rising cost of support for the manufacturer or service provider and the lack of real brand loyalty because the support we get is rarely easy or straightforward to acquire.

There is a great irony in our present day life: we have near-instant access to companies wanting to sell us something anywhere we are any time of the day. We’re used to asking for something and having it show up in a few hours on our doors step. Now it is time to provide that same level of convenience for product support – anytime, anywhere, right away with our voice or with text. We live in a ‘get things done quickly’ world so searching for resolutions to our difficulties is painfully time-consuming.

Extended warranties sound like a solution but in reality getting the service you need when and where you want it is still the issue. Best Buy might offer you an extended service, but they are still the intermediary to the manufacturer or service provider. Why can’t you engage directly with the manufacturer from the beginning of ownership? Wouldn’t that be better for everyone? Getting direct feedback for improving their products sure would be easier and faster for the manufacturer. The original manufacturer would have constant and immediate feedback from customers. Surely there is a way to this an leverage the relationships with existing resellers.

Businesses have budget trade-offs from the ever-expanding need for customer service staff. Some companies are working hard to build a stronger brand experience by improving their customer service agents, but let’s explore a different way to bring greater satisfaction with potentially less expensive. Why not think of this as customer engagement that brings direct access to answers from customers in text, voice, and video to see things like user manuals? Remove the burden of weeding through unwieldy support pages or streams of social media reviews and comments to hunt for answers or hundreds of pages of support forums on a website. Youtube videos are a solution if you can find what you need and the information is current. User manuals become lost in a drawer or file cabinet. They provide information, not real answers to our questions.

The following series of blog posts will explore our vision for consumers and manufacturers to build greater trust and satisfaction with a rapidly maturing technology called ‘conversational interfaces.’ Our goal is to lead a new path toward profitable use cases of AI technology to ultimately bring a sense of delight to our customer service experiences that elevate the brand overall. Many of these ideas stem from insights learned from the founders of ConverseNow.ai.

What we all want is an easy way to ask for an answer to our problem or request without having to commit time to search across a sea of information scattered around the Internet or waiting on hold for an agent to retell our product ownership history or figure out what hours service is available. Ideally, we want a relationship that starts before the sale and endures as long as the product is in our hands. If manufacturers and services providers want to delight us in a way that keeps us coming back, they will learn how to anticipate our individual needs over time. In short, remember who we are and what we purchased from you. It’s a tall order, but we at ConverseNow.ai are coupling a new age of instant access to products with instant access to service engagement throughout the lifecycle of ownership.

Be sure to stay tuned to learn more about ConverseNow.ai solutions for conversational interfaces for companies wanting to delight their customers.

Mentoring, Invited Talks and preparing for the age of AI

I was recently asked what I have been doing lately around the Austin startup scene.  Life has been busy for sure as 2018 starts to warm up with activity and SXSW 2018 is just on the horizon.

Here is a summary of the places I am mentoring and talks I’m giving. I was recently asked to submit three ideas for training people to help them prepare themselves for employment in the coming decade of AI. I have included those outlines because I plan to use some of those ideas for a book proposal to Apress and I use the topics and concepts in my mentoring and consulting with businesses.

I Mentor in Austin at:

Capital Factory and Techranch.com.  You can find me on both of their SLACK systems.  My Capital Factory mentor page is here.

Summary of recent invited talks

Concordia University – Lesson’s Learned selling Seeds Door to Door and AI to Fortune 500 companies
Tom Parish shares his key insights on effective selling through integrated adaptability. The lessons he brings demonstrate the importance of preparing for the rapid changes coming in the next decade.   
Lamar University – invited to speak to computer science students – career growth – past present and future. 10/2017
Baylor Communications and Media department – two talks – invited to speak on preparing for employment in the media/movie business and future of color grading. 2015
The University of Dallas – invited to speak to MBA students – positioning yourself and your business for success in the new world of intelligent power tools for business. Hint: It’s still all about selling and know your features advantages and benefits for each persona you’re wanting to attract.

Selling and Presenting your Ideas 

Summary: Whether you are hired full time with a firm, going for an entrepreneur startup or entering the gig economy you need to practice the art of delivering your ideas.  There are technology challenges and personal growth challenges to address. Here are some of the topics I enjoy discussing and helping teams improve.

Summary of presentation approaches past, present, and future

Learn the basics of selling ideas, products, and technology

Developing an Elevator Pitch and how it evolves in time

How to present your self and relate to any size audience (one and on and one on many)

Uncovering your roadblocks in being authentic in your delivery

Discovering the power of persuasion in the art of conversation

Dealing with Pressure and time constraints

Class projects with personal feedback

How to prepare for the impact of future technologies on individuals and society and business growth

Summary: This is an overview of all the key technologies for the coming decade of rapid change. I have been engaging in conversations with people to look for themes and new perspectives to help people understand the impact of the technologies society. Of course, startups and existing businesses are keen on finding a new competitive edge with this new Digital Transformation 2.0 wave that is coming. However, I want to know where the balance is between profit and social responsibilities.

Historical perspectives of the Internet and the changes coming in the next decade

Explanation of why the rate of change is so fast now and how it impacts us

Overview of technologies, challenges, and opportunities for the near future:


Blockchain – currency protocols and ledgers

Data science and BigData

Machine Learning

Artificial Intelligence

Group discussions – how will rapid technology Impact you, your business and society and lifestyles

Group discussions – how to be employed in the come age of AI

Learn how Podcasting can Improve your Visibility and Credibility for startups

Summary:  The key outcome is for each person to understand why audio and video podcasting is critical to creating and growing market visibility for a startup, gig or on-going business. I have produced over 1300 shows since the late 1990’s.  Heck back then it wasn’t even called podcastings, just audio interviews.  I have developed a number of marketing and sales strategies to help businesses find a competitive edge by creating content that is closely tied to sales strategies.  I cover the following topics as time permits:

The history of podcasting, current resurgence, and future relevance

The importance of acoustics, music and sound effects on quality

The technology – recording, editing, and posting

The art of the interview – with and without recording equipment  (critical)

Podcasting show themes and storytelling – class examples

Thought leadership as a content strategy for entrepreneurs

How to use podcasting in social media to broaden your visibility

How to get invited on other shows to amplify your visibility

How to interleave your podcasting strategy carefully with sales and marketing strategies


Marketing <=> Sales Strategies for AI, Automation and IoT Tech
Skype tparish
Twitter: tparish


Preparing yourself for a world of vastly more capable algorithms

How will you compete for employment in the coming decade? Hint, it’s not just about the algorithms.

Besides being (or becoming) technically competent in one or more specialized technology areas it is equally as important to develop and continually evolve your humanness.   You want to focus on what you do as a unique human that’s not something computer algorithms can do well. Consider how you are with intuition, spirituality, imagination, ambition, courage, caring, maturity, loyalty, self-control, independence, love.  I’m sure you have your list and wonder sometimes how might I have more of ‘that’ in my life.

Notice how you are learning more about your yourself and others in the events of your life.   This too is part of your on-going always-learning credo for the future. This includes learning and refining the art of dialogue. See FastCompany.com article by Eillie Anzilotti.

You want to focus on what you do as a unique human that’s not something computer algorithms can do.  In short, You be you.  Become resolute about your introspection and awareness of yourself, others and life.  Be what the machines cannot and you will bring greater value to the business world and more importantly to your own life and family.

I’m reading a book that speaks to the what it means to be more human in an age of intelligent algorithms.  The book’s title is Humility Is the New Smart: Rethinking Human Excellence in the Smart Machine Age

This book review that got my attention was written by Gloria Lombardi – here.

I added this book to my references for invited talk topics because it dovetails so well with my vision of preparing the next generation for more enjoyable and gainful employment.




Inspired Learning 2020 and beyond

A personal quest of mine is to prepare a TedX talk to pass on my insights to young parents who are wondering how in the world do we prepare our children for employment in the next 10+ years. You might think ten years is a long way off. The problem is time passes and you suddenly realize how behind the curve you are with the changes in society and technology you are required to use at work.

So I am on a mission to find sources of inspiration and insight that I can draw on from authors who are thinking about the AI augmented workforce. People who have given thought to the impact of AI in our lives and can speak to the practicality of what we will face soon and who over ideas on how to prosper. There is no end to the gloom-and-doom articles that persist about the dark aspect of AI. I don’t see much value in that as a central focus.

I’m interested in seeing what is possible with machines that can help me think and work at higher levels of abstraction by removing the tedious and repetitive aspects of knowledge work. These are the tools I want my grandkids to use and feel inspired continuously to keep learning.   An example of tools that are striving for this now is Brainspace 6.

Here is their promise:

Brainspace 6 is the industry’s most advanced software for digital investigations and unstructured data analysis. Built on our patented machine learning platform, Brainspace learns dynamically without the use of lexicons or taxonomies, giving users a robust suite of interactive visualizations and search tools to reveal the story within your data.

I’ve used Brainspace for two years. Brainspace reminds me of the first time the arrival of the family’s first (and only)  World Book Encyclopedia. I was seven years old and transfixed by a wealth of information at my finger-tips. I remember my mind was tingling with ideas. My thoughts became lost in a universe of possibilities with what seemed like unlimited access to facts and stories about countries and people around the world. Using Brainspace always brings back that same feeling of joy and discovery.

But back to the matter at hand. How do we prepare ourselves in the workforce for future versions of ultra-smart tools like this in the 2020-2030 time frame? What is the right way to mentor our children and grandchildren to be not only constant learners but inspired souls that seek a higher sense of what’s possible beyond just the operation of automated tools? In other words, how do we take the power of AI and the creativity, love, and intuition that makes us unique as humans and blend these for a better world?

One perspective is to look at this next decade as an opportunity for us to focus on being more who we are as humans as we team with machines that are becoming more capable at what they do best. In our case, we focus on enhancing our analytical technical acumen with skills that rely on empathy, collaboration, and socialization. An interesting article that raises this point is AI and the rise of the emotional economy.

If this is a topic you find interesting then consider getting these three books. I’m using them to prepare more public presentations on the topic. I’m asking for feedback every step of the way. So feel free to reach out to me with your ideas. I realize there are hundreds of software tools that are being revamped with enhanced AI abilities shortly. Not all of them are knowledge tools.  My point here is to remind ourselves to look at what this new level of mental augmentation does for us and to continue making mindful choices that impact the quality of our lives and our children’s lives as we evolve ourselves with these new tools.

Average is Over – Average Is Over: Powering America Beyond the Age of the Great Stagnation by Tyler Cowen
Only Humans Need Apply by Thomas H. Davenport and Julia Kirby
Smarter Faster Better  by Charles Duhigg
Homo Deus – A Brief History of Tomorrow by Yuval Noah Harari

If you only have time for one – get Only Humans Need Apply.


Marketing and Selling AI – a retro look 30 years back …

I worked at Symbolics and then MCC selling and marketing AI in the 80s, and it was a wild fun, exciting, insightful ride. Shown in the picture is the Symbolics 3640 Lisp Machine. Starting price was around $80,000 and then dropped to half that amount, but in the end, we could not compete with Sun Microsystems Motorola 68000 and Intel 8080 type processors running on PCs. Despite the amazing sophistication of the Lisp software and the promise that programmers would be vastly more productive and many ground breaking software developments, we could not compete.

Neural networks were the thing in the late 80’s and some of those initial technology innovations at MCC were spun off into profitable businesses.  Now we have computers that are 10,000+ times faster and smaller and we’re seeing a huge resurgence and a democratization of these technologies everywhere.  Businesses have a laser focus on the promise of AI now that the technology is catching up with the original AI ideas of years past.

This brings up a question, what is the right approach to selling and marketing AI, machine intelligence, neural networks, deep learning, big data as it’s introduced into the software we use at work and home. How is your job and your life being impacted as a result?

We used to think of AI as a something you developed and ran on an ‘AI machine’ with dedicated hardware for performance. Now AI runs on the ubiquitous cloud-based Intel process amongst others manufactured in the millions for 1/1000 the cost of a Lisp Machine.

AI software, for the most part, is invisible to us given so much of it runs in the cloud in large, data centers.  Yes, we have edge devices like Siri and Alexa Google Assistant, Cortana and so forth. And we will be using highly sophisticated dedicated hardware for image processing in self-driving cars. But the challenge remains of how to sell and market AI.  In the end, it’s not about AI as a technology; it’s about how AI solves a need and makes life better for us to become more who we want to be.  Let’s keep our eyes on that idea. The benefits versus the features. And from a more altruistic perspective consider benefits of social innovations the technology enables versus just features of new product inventions.

Why? Because selling AI as profit booster by reducing headcount is a slippery slope if the promise lives up to the anywhere near the hype of AI.  Personally, I think the emphasis needs to be on how we think and live and educate ourselves with higher levels of insight.  This is a promise I find more attractive. Let’s augment our humanness with more advanced machine technology. The reduction of headcount due to automation is part and partial to the introduction of new tools. Fair enough. I’m suggesting a more mindful approach that is a win-win to the employer and the employee.  I’m all for reducing the mind-numbing tasks at work provided I have the opportunity to exercise my creativity and insight to explore new ideas for business AND life at home. If this makes sense then consider reading about these ideas further in a book, the Fourth Economy. Or check out a review of this book  The Fourth Economy and The Future of Work.

It’s going to be interesting to see who the new winners will be in the coming few years.  Maybe all of us benefit versus just winners and losers. Call me optimistic if you wish.  I’m hoping for better tools that sharpen our ability to find new insights and solutions to complex problems.  New AI-based tools that all of us can use, even for free, in public libraries. But I digress for now.

As was quoted on the ALPHA GO docuementary in NETFLIX, “our quest now is to use machines to help us understand how we undestand.” That’s a noble cause I can related to because it helps all of us equally.

Now for a fun look back in time …

I recently found a news article from the NEW York Times By ANDREW POLLACK, Published: September 13, 1982. In many ways, much has changed with regards to the sophistication of AI but yet in some ways, much is the same around the promise of AI.  What hasn’t changed is the challenge of selling something called AI and the worry around the impact it will have in our lives.


More on the Lisp Machine history here.


NEW York Times By ANDREW POLLACK, Published: September 13, 1982.

Artificial intelligence, the science of making computers ”think,” has long been the preserve of theoreticians who were little concerned with practical applications.

”When they said ‘real things,’ they meant computers that can play chess,” said Dr. Roger Schank, chairman of the computer science department at Yale University. ”They were not going to talk to Wall Street, let alone own a suit.”

Now, however, business is taking an interest in artificial intelligence, or A.I., and some professors, such as Dr. Schank, are forming or joining companies to capitalize on the expected boom. But the new move toward commercialization is disrupting the academic community and provoking fears that university research will be hurt.

Some researchers welcome the business interest. Others, however, complain that corporations are outbidding the campus for scarce personnel, and that work is being diverted from long-term research to short-term problems with immediate application. They also say that scientists are becoming more reluctant to share research results. Effects on Research

”We perceive there’s a real potential for the existing quality of A.I. research to diminish,” said Ron Olander, who coordinates such research for the Defense Department’s Advanced Research Projects Agency. He made the remark during a panel discussion at the National Conference on Artificial Intelligence, held in Pittsburgh last month.

Artificial intelligence is concerned with making computers do things that are said to require intelligence when people do them. Commercial interest is centered on four areas:

– Vision systems, which would allow computers to interpret satellite photographs and allow industrial robots to identify objects coming down the assembly line.

– Natural language systems, which allow people who do not know computer languages to get information out of computer storage by asking for it in plain English.

– Expert systems, computer programs that mimic the behavior of human experts and that can do such things as diagnosing diseases and interpret geological data in exploring for minerals.

– Equipment and programs used by the artificial intelligence researchers themselves. Xerox and two start-up companies, Symbolics Inc. and Lisp Machine Inc., sell computers specially designed to handle Lisp, the programming language used by artificial intelligence researchers.

Several large companies such as Schlumberger, Hewlett-Packard, Digital Equipment and Texas Instruments have formed artificial intelligence groups, to design products for internal use and perhaps for outside sale.

Schlumberger, for instance, hopes to have expert systems interpreting data from logs of oil wells. Digital uses an expert system to help package computer systems and is developing a program to diagnose broken computers. RCA Government Systems and Lockheed’s Emsco division, meanwhile, advertised at the Pittsburgh conference for people to form artificial intelligence groups. Wall Street Notices

Wall Street is starting to take notice. F. Eberstadt & Company, a brokerage firm, has formed a special unit to analyze and possibly invest in companies in artificial intelligence.

More companies are being started, many of them drawing people from university research programs in a phenomenon similar to what occurred when genetic engineering was commercialized a few years ago.

Yale’s Dr. Schank, for instance, formed Cognitive Systems, which will sell natural language systems. It is designing a system for oil companies that will retrieve information on oil wells using plain English commands. Dr. Schank plans to develop computer programs that can do such things as give expert advice on taxes or wills.

Edward A. Feigenbaum, a computer science professor at Stanford University, has co-founded two companies – Intelligenetics, which aims to apply artificial intelligence to genetic engineering, and Teknowledge Inc., which designs expert systems for other companies. Teknowledge is designing a system for Elf Aquitaine, the French national oil company, to diagnose why a drilling bit gets stuck during drilling. Exodus From M.I.T.

Already, such university spinoffs have led to strains. The staff of the artificial intelligence laboratory at the Massachusetts Institute of Technology was decimated in 1980 when more than a dozen researchers left to form Symbolics. The company sells computers designed for artificial intelligence that the researchers developed while at M.I.T. About the only two staff research people who did not join Symbolics left M.I.T. to form Lisp Machine, a competing company.

”We took so many that it’s going to take years for M.I.T. to build back up,” conceded Russell Noftsker, president of Symbolics and former director of the artificial intelligence lab.

Marvin Minsky, an M.I.T. professor who is considered a founding father of artificial intelligence, agrees. ”Most A.I. labs cannot buy the machines they had a hand in designing,” he lamented. He also fears that universities will lack resources to develop the next generation of machines. Where Universities May Benefit

The commercial activity might have some benefit for universities, however. If artificial intelligence is considered commercially important, corporations might finance university research. The Carnegie-Mellon University has signed on several corporate sponsors for its robotics laboratory.

Also, the rise of the companies might make it easier for people who want to concentrate on basic research, because pressure from Government sponsors for practical results would be eased.

Some of the uneasiness in the university community stems from a difference in cultures. Academic researchers consider products coming out on the market unsophisticated and oversold.

”I don’t think they have anything to do with artificial intelligence – they have to do with the artificial intelligence of 10 years ago,” said David Waltz, professor of electrical engineering at the University of Illinois. Wrong Twice

An example often given is that of expert systems, the programs that can diagnose diseases or help explore for oil. Although the computer programs are fairly adept at making analyses, they cannot learn from experience. Given the same set of symptoms, for instance, an expert system will make the same diagnosis twice, even if the first one proves wrong.

”If you don’t have an expert that can learn and have memory, you get a little anxious,” said Dr. Schank, adding that expert systems are going on the market prematurely. His own company is often cited by others as an example of one that overly promotes its products. Cognitive Systems’ literature advertises that the company develops systems that offer ”all the benefits of having a human expert on your staff, but it never takes a lunch hour or goes on vacation.”

Those entering the business say that it is impossible to wait indefinitely for technology to be perfected before introducing it commercially. Lee Hecht, president and chief executive officer of Teknowledge, said there are many applications – from electronic circuit design to diagnosing nuclear power plant accidents – in which existing expert systems could save companies millions of dollars. Challenge for Management

Besides the question of how sophisticated their products are, start-up companies may face a bigger stumbling block – a lack of skill in managing a company and in focusing on specific market areas. They must also hang on until the market develops further and then face competition from the more established companies. ”What’s going to delay A.I. is that there isn’t an infrastructure for developing applied work,” said John H. Clippinger, president of the Brattle Research Corporation, a consulting and market research firm in Boston.

Those same problems afflicted genetic engineering companies formed by professors a few years ago. For lack of management talent, money or products, many of those companies have fallen on hard times. Some predict a similar shakeout in artificial intelligence.

”This field is even more university-bound than genetic engineering,” said one analyst who asked not to be identified. ”Some of those guys can’t manage their way out of a paper bag.”

NEW York Times By ANDREW POLLACK, Published: September 13, 1982.

On Being Human and Working in the Age of Artificial Intelligence

Astoundingly positive things will come from artificial intelligence, but we would hardly know that from the onslaught of magazines and movies that paint a despotic future. Storytellers know fear sells. So let’s just admit, AI, like any technology, will have its dark side but can we stop obsessing about robots chasing after us and focus on the real opportunity? Let’s start teaching a new wave of employees the importance of teaming with AI. People will be more employable, and employers will build more competitive companies. As MIT Physics Professor Max Tegmar says, “Intelligence is the crux of the problem.” Our intelligence is the reason we have more power than any other animal on the planet. Let’s place hope in ourselves that the more we learn from each other and learn from these new AI enabled machines, the more we could build a better life with a focus on growing and sharing intelligence.

Recently, IBM’s Watson Team partnered with BMC to develop in-car AI capabilities using Watson IoT technology. The goal is to process in-car data alongside artificially intelligent assistant systems to help vehicles run more efficiently and provide a personalized driving experience. The end game: create a car that is way ahead of its competition. IBM’s Watson platform will incorporate machine learning, with an IoT component inside the car. Watson continually learns from the driver’s needs, habits and driving preferences, understanding and then adapting the driving experience to better suit the driver and passengers.

Drivers will be able to talk to their car, ask how it’s performing and the car will in turn reply. Watson vehicles will have learned the owner’s’ manual. Using natural language capabilities, Watson can understand the driver’s queries and provide the answers in a conversational style. This conversation can include anything from standard checks of recommended tire pressures to finding the handle to pop the hood. The idea here is Watson understands the car and the driving process and attempts to help you and learn from you as you drive.

I am reading Max Tegmark’s book as part of my research. I resonate with his thinking about the future of AI given my experiences with AI and related ‘smart technologies.’ I believe we need to move beyond the overly simplistic worry that that AI may be pushing some us out of the workforce. This may very well happen or not, but we are not helpless. We can encourage a more pragmatic perspective that both humans and AI need each other for success in business for decades to come. If that is the case, how do we position ourselves for gainful employment with more intelligence machines?

Let’s explore an example of AI in business, in particular sales and marketing. In a recent Harvard Business Review article, “How AI Is Streamlining Marketing and Sales” by Brad Power, some efficient applications of AI are in use now. In each case, the internal staff teamed with an AI assistant, multiplying the efficacy of the sales system.

I was recently talking with Steve Golab Senior Market Manager at Creative Alignments, in Austin about a company called InsideSales.com that has built a sales acceleration platform for predicting sales growth. InsideSales delivers a sales acceleration platform that leverages data science to help sales reps sell more and spend less time trying to figure out which accounts to spend the most time on. At the heart of the platform is a system called Neuralytics which is a big data predictive analytics system and an artificial intelligence engine that uses the industry’s largest collection of sales interaction data to help reps do their jobs better and more efficiently.

InsideSales.com is an assistant system that recommends prescriptions from Neuralytics for reps through a set of applications that run on top of their CRM. Those apps benefit from the predictive power of Neuralytics and, as reps make phone calls, send emails, and manage their forecasts, InsideSales apps automatically populate call data, email data, forecast data, etc. back into the CRM. InsideSales.com is an example of the kind of intelligent tool benefits from on-going refinement from the sales and support staff and, as a result, transforms the entire sales process to be more powerfully impactful on time management and close rates for everyone on the team.

I give presentations and talks about the importance of working with people who will be employed in the 2020-2030 decade to help them learn how to team with each other and team with machines to maximize their creativity and intelligence. It’s not an easy problem to find solutions to because it will vary widely from business to business. Dual teaming, with each other and smart machines, is what will give an employee the employment edge in the coming decade. It’s also what employers are going to stress in their hiring – people who work well in dynamic teams, always learning and always improving each other and the machines they use.

In another article, we will revisit what happened to Gary Kasparov, the reigning world chess champion who lost to an IBM supercomputer Deep Blue in a highly publicized match in 1997. He’s been thinking and observing the impacts of artificial intelligence in machines and how we partner with them to become more intelligent ourselves. I want to bring his ideas forward for everyone to benefit from in this new age of AI that is dawning upon now.

In my conversations with my adult children and seven grandchildren, I see that we need to focus on opportunities to learn with and from AI to become more who we are as humans. As AI becomes more capable, what is on offer is for us as humans to become more who we are: more compassionate, loving, insightful, intuitive, creative evolving beings. It’s not about becoming more machine-like.

When it comes to problem-solving in science, business or life, people will rise to handle the hard-to-define, difficult edge cases that machines just cannot or may never actually learn. That’s our value add. It’s not only a strategy for survival; it is our goal as humans.

For more about being human in the age of artificial intelligence, listen to this interview with MIT Physics Professor, Max Tegmark. – Life 3.0: Being Human in the Age of Artificial Intelligence. I think his book and his interviews provide a well thought-out, down to earth perspective on our future with AI. It can be a bright one, and he suggests we begin that conversation now.

An excellent podcast interview with Max Tegmark with Sam Harris’s Waking Up podcast. Sam Harris speaks with Max Tegmark about his new book Life 3.0: Being Human in the Age of Artificial Intelligence. They talk about the nature of intelligence, the risks of superhuman AI, a nonbiological definition of life, the substrate independence of minds, the relevance and irrelevance of consciousness for the future of AI, near-term breakthroughs in AI, and other topics. And yes I did borrow my title somewhat from Max Tegmark’s book.  So credit where credit is due. The book is both inspiring and insightful. Find a copy.

Another podcast interview with Max Tegmark is located at THINK with host Krys Boyd, from a slightly different perspective. This one is shorter with less technical depth.

Edited by Lily DOT Parish AT gmail.com

Featured Image Credit Photo by rawpixel.com on Unsplash

My weekly newsletter favorites for AI and IoT and Blockchain Trends

I comb through the following web sources for trending news relating to the evolution and social impact of these far reaching technologies – AI, Robotics, IoT and of course the biggie blockchain technology. The important perspective to keep in mind with blockchain technology is the impact is much broader than you may think. For a good baseline understanding of the wide impact of blockchain technology (on many industries), download the free E-Book: Blockchain for Dummies.  IBM’s web content does an excellent job of explaining blockchain to executives. Bottom line it’s not just about digital currency.

I’m particularly curious about the future impact of these technologies on employment in the coming years 2020’s and 2030’s. You see, I have seven grandkids, and I’m curious to learn how I can help them be better prepared to enter the employment market and capture good salaries.  I have already given two talks at Baylor School of Communication regarding employment preparedness in the age of AI and Machine Intelligence in the workforce.

Here are my top sources these days and yes these are free:

rightrelevance.com –  provides relevant information and intelligence on 50 thousand topics.

https://www.topbots.com – TOPBOTS educates business leaders on high-impact applications of modern machine learning and A.I. techniques and helps leading organizations adopt and implement emerging technologies.

Azeem Azhar: The Exponential View Newsletter – outstanding!

Robohub – a non-profit online communication platform that brings together experts in robotics research, start-ups, business, and education from across the globe. Our mission at Robohub is to connect the robotics community to the rest of the world.

Hackernoon Artificial Intelligence section Voicebot Weekly Voicebot.ai

Voicebot Weekly at http://www.Voicebot.ai

Benedict’s Newsletter  – a weekly newsletter of what he’s seen in tech and thought was interesting. Benedict works at Andreessen Horowitz and always has something insightful to pass on.

The best content, news, and resources for IoT – https://www.iotforall.com

More Resources

Emmanuel Sibanda List of Newsletters and articles for Blockchain and AI technology

NOTE: If you want to get a huge jump on others doing research I suggest subscribing to www.BrainSpace.com.  BrainSpace is all about augmenting intelligence to accelerate human potential.  I could not agree more. This is my go-to source when providing strategic advisory input for C level projects.  There is more to our future than the technology we’re chasing.


Twitter is @tparish


Tom Parish – Experienced VP marketing | writer engineer futurist | tracking the impact of artificial intelligence on our lives.