Alexandros Louizos, MD, MSc

From the desk of Alexandros Louizos

New York, NY 

Dear Friend, 

If you want to create successful artificial intelligence initiatives in your company, regardless of your industry and without any prior technical knowledge, this is the most important letter you will read today.

I'll show you why in a minute...

8 years ago I fell in love with artificial intelligence. I had a gut feeling that it would be the most important technology in the history of humanity. 

But I was a surgeon. No technical or coding knowledge whatsoever. Regardless, I took a leap of faith, committed all my lifetime's savings and jumped off the plane, without a parachute.

It wasn't easy. I couldn't find a single non technical source of information to guide me on this business endeavor of mine. Heck, I didn't even know what was the difference between artificial and intelligence, even if my life was dependent on it. 

I didn't know where to start, what to build and how to create an AI team. And all the "advisors" were either too academic, or too expensive and did not have any actionable advice for me. 

It was a harsh ride. Lots of mistakes, lots of time lost, wasted money on "experts" and bad hires. 

Not to mention the 100's of investors' "No's" till I was ready. Sure, that was rough... 

But it was worth it. In the last 8 years, I built a VC funded artificial intelligence company, raised millions of dollars in VC funding, lived the dream of seeing our AI product deployed in fortune 100 companies. Not to mention an international AI patent that I have framed in my office for bragging rights. 

And if a surgeon with no prior business experience could do this, then imagine what YOU can achieve....

It was all worth it. You know why? Because I can't let go of this mental picture of me telling my grandchildren the story of how "your grandpa was there, when it all started, the AI era, I took advantage of it, and it grew beyond my wildest dreams...."

Well said Mark! 

But how can we invest in something we do not understand? When I started I didn't even know what AI really meant. 

What can we build with artificial intelligence? How should we choose? What criteria should we use? How should we build a roadmap of an AI product that has high probability to work and low risk to fail? 

Where can we find the talent to build it with us? What kind of talent do we need for AI by the way? Aren't all these people only working for Google anyway? (hint: NO). 

Every aspiring founder wants to be a Hero in AI but we all start with a fat Zero. And this Zero starting point with no "wing person" along side me cost me lots of money, when I started. I didn't know what I didn't know and there was nobody to provide actionable advice. 

What I needed when I was starting was advice on how to bridge the gap between idea and action. Without this bridge I couldn't build any artificial intelligence. Without this advice I was feeling that I was risking my career in a meaningless pursuit... 

And that's why I wrote this ebook. To help you avoid all these pitfalls.

This is dramatically different from anything you've ever read because it's more of a "field guide" to artificial intelligence for creating projects than a traditional "book".

The reason why is because there's no fluff or filler. It immediately gets down to brass tacks, showing you exactly what to do, how to do it, and why.  

Plus, it's easy to read.  

At just 55 pages, you can read it in an afternoon.    

And you'll immediately "get" the entire methodology I personally used to create some of the most successful artificial intelligence products that are currently used by Fortune 500 companies. 

Here's just a fraction of what's inside and what it might mean for your business:

What is the difference between statistics and machine learning? 

What about deep learning? What's the difference between deep learning and machine learning? 

Oh, yeah, the question of the eons: What is big data? When does it get big? Do you need big data?

On pages 10-19 we will go through all these terms and explain them in a practical way. You will never be confused in the future. Instead, you will be able to speak about it with authority and your team will love it.  

Plus, on page 20 you will get a simple, intuitive understanding of what artificial intelligence really is. 

AI is actually very similar to what they teach to business schools about operating a business. It is all about .... (I will not spoil the surprise but I will let you guess ...) 

Don't know if it is risk aversion or just pure lack of common business sense, but most of the technical AI people out there tend to overcomplicate things. 

Keeping it simple with clear, practical understanding of business operations is the only thing you need to start with. I bet you already have this! 

It is super simple to translate that bizOps knowledge into an AI roadmap without getting stumbled into complex academic AI gobbledegook. 

Skip to page 21 to find these simple steps to jumpstart your AI product plan. 

The term data scientist is so overused that it can lead to big hiring mistakes (I am personally guilty as charged for this mistake). 

It takes some painful hiring failures to realize that for every AI project there is a specific person, with specific skills, that you should hire to get the job done. 

You will find analytical descriptions of the specific skills each type of AI person has and gain a deep understanding of what people you need to succeed on pages 29-39. 

Super easy to understand graphs that will give you one-to-one match between projects and skills to avoid any hiring mistakes for your AI project. 

No more time and money down the drain because "they told me I need a data scientist" situations.  

I have tried all possible iterations of what a perfect AI team might look like. 

The biggest untold truth is that, although many AI experts can build your AI, most of them will struggle with how to deploy it as a product in real life. 

Even worse, they might not be able to build it with this real life scenario in mind. 

Result? 

They might build a heavy and complex AI that does not work in real life. 

On Page 41, I will show you how to prevent this and save yourself lots of pain. This secret alone is a goldmine you will not learn anywhere else (because very few people have actually dealt with it). 

You're right ...that is a lot of proven, real-world strategies and tactics that are working right now.

But it's just the tip of the iceberg because you're also getting …

7 Figures? I promise you, this is NOT a get rick quick scheme. 

I named it "7 figures" because this is roughly how much it cost me to experiment, try, fail, and finally understand what I needed in the first place to succeed in my AI roadmap. 

This cheat sheet will be your shortcut to proven battle tested decisions to choose what will work and what not. With this cheat sheet you will be able to choose your path forward with confidence without making costly mistakes.   

You already know from your training in strategy that  "Every battle is won before it's ever fought". Kudos to the artist of war that wrote this quote. 

To win this AI fight you must start on the right path. 

To start in the right path, you need a method to strategize the best product that will skyrocket the KPIs  of your business. 

This bonus spreadsheet along with a companion short video tutorial will give you all you need to think clearly and choose wisely. You will be able to win the battle of AI before you even start. 

From one strategist to another, I am 100% confident this spreadsheet will give you clarity on what AI you will want to build. 

The methodology is simple, elegant and non intuitive. Like the best strategies ever used in business, life and war.  

Sometimes you need some inspiration when thinking what to build. 

Other times you can just be successful by copying the success of others into your business. Why not? No shame in that.  

If you need inspiration on what you can build with AI and how others have done it, this series of case studies, freshly delivered in your email box will be your insiders' glimpse on how you can build your own AI roadmap. 

And if the case studies are not enough, how about learning from others that have "been there, done that"? 

No holds barred, behind the curtains discussions with tech leaders that have built AI for their businesses. 

What would they have done better, what mistakes they have done in the past and how to avoid them, how they think about artificial intelligence and what the future looks like. 

By listening and learning from these executives, from Fortune 500 to startups, you will immediately start recognizing the repeating patterns of how to succeed in the AI space.

Click the link below and you will get the ebook immediately! 

Looking forward to your feedback! Get in touch with me at alex@manxmachina.com

Thanks for taking the time to read this letter and I look forward to hearing from you soon!

Alexandros Louizos, MD, MSc

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