Artificial Intelligence 101 ·Digital Transformation 2021

Humans enhanced by AI tools will be able to accomplish at multiple levels above their skillset and knowledge. The right mindset is not to fear AI but embrace it to do things faster, cheaper, better than your competitors. Redesign your processes in new ways, and try having more junior people you would have never considered do bigger jobs, this will free up your more experienced team to think in new ways.

We do not know the real costs of privacy. Siloed data sources, limited data collection, incomplete datasets, all make today very inefficient when compared to the huge cost savings of tomorrow. We will look back to this era and think of our current practices as ignorant and medieval. Once eGov kicks in, and corporate firms get on the full AI-bandwagon, we will not believe the optimization opportunities. Laws to protect privacy will exist for sure, but those same laws will ensure the data flows openly and people get compensated for their data. We have so much to gain, it will be an economic decision to open data, not an ethical one.

These are the first 8 of a total of 16 macro areas in our lives that generate the most data. There are hierarchies within each area which we will also detail in the lecture.

1. The Home

2. The Office

3. Food we consume

4. Agriculture

5. The Products we use - IoT (Internet of Things)

6. The building of the Products we use - IIoT (Industrial IoT)

7. Internet of Bodies - IoB

8. Internet of Minds - IoM

This is the 9th of a total of 16 macro areas in our lives that generate the most data. There are hierarchies within this area which we will also detail in the lecture. We will also dive into a new business model example based on the new climate data we will be capturing and discuss the need for a KPI mentality going forward.

These are the final 7 of a total of 16 macro areas in our lives that generate the most data.

1. eGovernment

2. Health

3. Content and Social Media we consume

4. Transportation and Logistics

5. Where we go out Data - Social Interaction Data

6. Telecom

7. Internet of Services - IoS

Now that we have seen the 16 macro-areas of Data Productivity, we will see how they are used to

1. Determine your Data Arena / Data Battleground

2. Determine your Data Arena-related competitive set

3. Determine your Hero Position within the Data Arena by identifying the biggest customer pain points and proposing a solution using your products and services

4. Determine the Hero's Journey: once you have the pain points and the solution, the arc generated between the two is the Hero's Journey, and it determines how we will measure success by providing the KPI's needed to measure how closely we are getting to the Hero Position.

We will use three frameworks in this course to simplify AI.

1. Open your eyes to AI:

   1. AI as hardware

   2. AI as software

   3. AI as an operating system

   4. AI as connectivity

2. AI4B Cube: It is an assessment methodology of where you are in the AI lifecycle. It has 8 scenarios of which Low/Low/Low represents most of the existing firms today, and high/high/high represents the leaders of tomorrow (the new Google's and Apple's, Tencent's and Alibaba's)

   1. AI/Data Integration

   2. Emerging Tech Integration

   3. Value-Chain Integration

3. AI-Morphosis: Implementation framework to calibrate AI upgrading in Vision, Knowledge, Tools, Motivation

   1. AI Vision: Over a dozen methodologies by various experts on how to go about sizing the future

   2. Insights on Data: All the strategic angles to consider on data, in order to make it the blood and fuel of your firm

   3. Integrating AI: Business cases and dilemmas to show the application of these concepts and technologies in strategy

   4. AI First-Mover Advantage: See the potential cost of not jumping into action, when your competitor gets AI

Is it a family trip to test drive a new family SUV to the dealership or a ride in Disneyworld? Hard to tell as you are greeted by the salesperson (which happens to be a famous racecar driver) in the Indianapolis 500 racetrack, and you get to see the car in ways only the engineers that created the original car design could see it. You take a few laps in various models and configurations, and you even crash your finalist into the wall at 200 mph just to see what would happen, after all, that is the speed limit these days!

Take a magic carpet ride trip through 1,000 digital homes, and see how you go through the new real estate sales funnel in VR. You filter quickly and eventually get a shortlist, walk-around the finalists, get to "kick-the-tires" of the house with your actual furniture. You even do renovations on a number of them before giving a penny of the deposit, and finally, get to pick your dream home in the future, except for the fact that you and your family are still sitting in the living room of your old home. Ouch, reality check when you take the hololenses off!

"In the shoes of a CEO" is a fictionalized concept created to help you think through the issues, dilemmas, and decision-making that arise as an emerging technology rears its head in a given industry. These corporate empathy exercises are located in the AI-Morphosis Tool module called "integrating the future", however, I placed the one about the IKEA CEO in this section since its exists as a result of my particular visioning of the future as it relates to the "buying a house in the future" lecture. If the vision for the future changes, the decision-making that needs to be done changes as well.

Using the potential of Blockchain to eliminate the intermediaries in a real estate transaction can reduce costs significantly, and redesign the real estate value-chain in a way that the entities that remain are really providing value and facilitating fast, frictionless transactions.

Examples of non-value added transactions that the blockchain universe will be able to perform:

• Authentication of buyer-seller identities

• Verification of land title

• Checking for liens attached to that title

• Legal and financial paperwork

• Signature validation

• Notarization of documents

• Generation of the new title

• Escrow

• Inspection record historical

• Price and ownership historical

Blockchain could reduce home-buying transactions from weeks to closing in days and reduce all the additional fees outside of agent commissions, which should remain since those are value-added as well as any financing costs.

As A Service or ASAS is a trend moving CAPEX to OPEX, and switching people's mentality from ownership to pay-as-you-go use. It is also reducing the barriers to entry to launch a business in the digital era.

As A Service or ASAS will continue to expand to bigger and bigger ticket items, so we pushed it to its limit. If WeWork is Office ASAS, we created WeLive or Home Sweet Home ASAS.

1. How modular and compartmentalized can humans get? It turns out that we need to own very little, and the possibilities that emerge when EVERYTHING in your home is ASAS is really interesting.

2. What happens to the ASAS model when you mix it with IoT capabilities? An explosion of data gathering, but then who keeps the data? Do Real Estate Management firms need to become experts in big data?

3. What is ASAS variation FS4D? FS4D or Free-Service-For-Data is the Gmail model, where Google spends billions on Gmail and then gives it out for free, to get the data, and to be able to advertise to you.

4. Will homes in the future be free? Loaded will all the bells and whistles, but in essence, gold cages where all of our gift appliances, furniture, and electronics are spying on us and reporting the data back to the provider. Not to mention the fact that there will be constant advertising in the kitchen, living and dining areas, the bedrooms, and even the bathrooms!

We cover contrasting opinions of various experts. On the one hand, lie detection mechanisms based on micro facial movements are already a reality, and with increased enhanced computer vision on blood flow, breathing speed, micro-changes in eye retina movement, hormone secretions, and infrared temperature differentials, connected eyewear will be able to detect lies going forward. Other experts, however, caution that digital engagement in existing "persuasion platforms" like Facebook and YouTube, are designed to take you down a slippery slope of nudging you into a more extreme version of who you are. So which is it? You decide if apps in the future will warn us against fraud and deception, or if AI-personalization systems will nudge us into their agendas, without us even knowing it.

As connected eyewear and ear-pods send to the cloud everything we see and hear for further processing, we will be able to be rewind, slow-down, and be prompted to review details we have missed. 

Even if we do not focus our attention on it at the time, we can now expand our true field of vision and hearing from less than 5%, which is our conscious range to 100%. 

We will convert dead inaccessible long-term memory into fast-access dynamic memory. With algorithms analyzing and connecting everything we consume in real-time, we will be able to get prompted on the spot with "notifications to our desktop" (our eyes and ears). So the little angel on the shoulder starts talking with our eConscience settings of how much "reminding" we would like to have.

As more sophisticated psychological databases are applied, that little angel can become Freud himself, decoding 24-hours a day what is going on and why we are reacting the way we are reacting in the middle of the actual reaction: "stop talking · breathe · get-up and leave the room · you´re doing it again..."

In order to discuss the future of transportation, we need to discuss the future of driverless, the future of logistics, the future of megacities of 150M people, the way we work, and the future of architecture, as well as cars, buses, etc.

Wanis Kabbaj extrapolated the future of transportation by picking the human cardiovascular system as the best case study possible for high volume logistics with high utilization, and no clogging. We will discuss his POV in depth.

We expand the discussion in the previous video to planes and drones, and we highlight why we will not cover advances in space exploration in this course.

The industrial age brought about the blue-collar worker, and the information age may see the end of the white-collar worker era that began with low clerical worker bees in the 30's New York City office scene. 

Welcome to the no-collar workers, young entrepreneurs coding the future and getting bought out by the larger established players for hundreds of millions of dollars and more. 

We will meet one such no-collar entrepreneur: an amazing 17-year-old Mexican kid. After the tragedy of his mom dying of breast cancer, he created an IoT sensor-filled temperature-reading bra for women and figured out via Machine Learning the algorithm for breast cancer. The Carlos Slim foundation funded the commercial launch of the product and it is now being sold to women everywhere so that once a week, after a 60-minute fitting, the app can tell you if your breast health has remained unchanged or if you need to go get a biopsy. Such early detection will save millions of women around the world.

Lines are getting blurred between Disneyworld, Universities, and Time-travelling series on Netflix. You can now, V-learn music from Mozart and Beethoven, strategy from Sun Tzu, and astrophysics from Einstein, in exotic locations, from Carnegie Hall to Ancient China, to the Moon. Add churches and religions to the mix, the new tech-savvy pope just released Vatican V-course 102 - The New Testament 102 taught by Jesus Christ in ancient Jerusalem, and Vatican V-course 101 - The Old Testament taught by Moses.

Universities all over the world are going bankrupt as they cannot keep up. There are so many amazingly cool VR projects out there for free, which offer an unrivaled learning experience, and in addition, they never really acquired the expertise to animate virtual worlds. Even Disney and Universal have seen major declines in their theme parks, as people prefer the fully immersed V-World experiences of newer park-franchises from China and Israel which are 10 times larger than Disneyworld, but fit in a suburban mall. Hundreds are popping up all over the place and can be customized to the local language, accents, customs, tastes, and even local celebrities and recent events.

Lateral thinking will be critical in the AI era. Creativity comes from doing what you love and having a diverse pool of knowledge to draw from. 70M people cannot be wrong. Enter a classic, the most-watched Ted Talk of all time. You guessed it, its on education.

The apprentice is back. You like chocolates. Learn from Godiva, work at Hershey´s for a day, a week, a month. Companies are opening up their V-apprenticeships. Manage a V-team of a dozen people and complete a large project in V-Work, wanna know what the Seat of Power feels like, prepare to manage the most extensive simulation yet in V-Work, the Amazon Swarm - you get to manage a multidisciplinary team of 300 Ph.D.-level bots for a week. Amazon is challenging people to enter and see what they can create on the platform. They keep the IP but give you 30% revenue of whatever gets created, and the new business has to use Amazon Web Services and Amazon Cloud. There are no limits to what you can learn and how fast you can pick it up.

You often stay working late, and you've gotten to know many of the outsourced cleaning crew for your office that works at night. Recently they all got AR-enhanced connected eyewear and ear pods as part of an employee motivation and retention program designed to boost productivity. 

Since then, they have become almost robots on auto-pilot, vacuuming, mopping, and cleaning in a state of hypnotic concentration. They all talk to themselves a lot, for hours, and feel entirely in the zone. It turns out that has MIT put out for free a new Ph.D. in Quantuum Astrophysics on the VR-Web, taught by none other than Einstein himself. Cleaning personnel and workers of other menial-task no-thinking physical-jobs, from all over the world, are advancing quickly through the program since they can not only dedicate their free time to it but their working time as well.

Keep up or die is the new mantra. The AI-sabbatical represents the 3 days each quarter where people get to upgrade and learn all the new advances in the quarter. Who would have thought that lifelong learning would actually be just that? Mandatory.

I can guarantee you the short term pain will push you to new heights, but only if you approach it as a blessing in disguise. Don't linger in negative energy and use the push to reinvent yourself.

AI components in the area of our new hardware.

AI components in the area of our new software.

AI components in the area of our new operating system.

AI components in the area of our new connectivity (to cloud, payment systems, etc).

Post-COVID, the world accelerated at least 5-6 years into the digital age, Disney Plus reached its 6-year goal of 100 Million subscribers in 6 months! WE NEED MORE LEADS so we can sell more, but how to do it when we can't even leave our homes? It is all about digital prospecting and this is why you have seen an explosion of people trying to befriend you on linkedin and others... Don't be annoyed, they are trying to develop an online relationship with you (with anyone really) and it is not easy, here is a 20 min masterclass, learn how Ai can help you get and convert more leads and sell more! Good selling!

We will cover the following:

- Outbound Marketing vs Inbound Marketing

- How a lead scoring system works: Content interactions have points, and customer journeys get created for different actions (e.g., if they opened the email, follow customer path 1, if they did not, then customer path 2). The CRM keeps track of the point score and ranks your clients.

- Retargeting: The famous marketing retargeting that everyone seems to be talking about, is when the customer doesn't react to your baseline creative, the CRM knows and takes them on a new path where you can target them with a different creative approach.

- How CRMs (Customer Relationship Management systems) like Salesforce, Marketo/Magento (Adobe CRM), and Hubspot are using Artificial Intelligence to automate, optimize, create predictive functions, and do 1 to 1 personalization.

- How the 360 customer experience is evolving with Artificial Intelligence as CRM systems keep adding Ai capabilities right off the shelf for pre-sale (marketing), sale, and post-sale (service).

Your inner-consultant mantra going forward:

• Give me any business, and I will turn it into a data business.

• Give me any data business, and I will turn it into an AI business.

• Give me any data business, and I will make it better.

Here is a test of the above mantra, a national taco chain wants to implement AI, we will walk you through the project evolution and see if you ask the right questions.

Data bias is our biggest enemy in the AI era. It has been an invisible enemy up until now, getting programmed into the code, carrying the prejudices of the programmers, but in this new era where we don't create the rules but rather let the algorithm create the model, we're still no better off. If we supply the algorithm with biased data, unfortunately, it will create a biased model. This means we need to be extremely vigilant with the type of data that we feed the model.

We also need to be vigilant with the diversity of the teams that are working on these AI algorithms, as we've discussed before purpose and intent bleed into the code and bleed into the data if left unchecked.