Breakthroughs in Machine Learning Triggered the AI ​​Revolution

It’s October 1950. Alan Turing – the generational genius who cracked the Enigma code and helped end World War II – has just introduced a new concept.

It’s called the “Turing test», and aims to answer the fundamental question: Can machines think?

The world laughs. Machines – think for themselves? Not possible.

However, the Turing test sets in motion decades of research in the emerging field of artificial intelligence (AI).

It’s about research carried out in some of the most prestigious laboratories in the world by some of the smartest people in the world, working collectively to create a new class of computers and machines that can, indeed, think for themselves.

Fast forward 70 years.

AI is everywhere.

It’s in your Phone(s). What do you think powers Siri? How does a phone recognize your face?

It’s in your apps. How does Google Maps know the optimal directions and routes? How does it make real-time changes based on traffic? And how does Spotify create hyper-personalized playlists for you or Netflix recommend movies?

AI is on your computers. How does Google suggest personalized search items for you? How do websites use chatbots that look like real humans?

Turns out the world shouldn’t have laughed in 1950.

The great Alan Turing ended up creating a solid foundation on which seven decades of groundbreaking research built. Ultimately, this resulted in self-thinking computers and machines being not just a “thing” – but be everything today.

Don’t make a mistake. This decade in the making”AI Revolution” is just beginning.

Indeed, AI relies primarily on what industry insiders call “machine learning” (ML) and “natural language processing” (NLP) models. And these patterns are informed by data.

As a result, the more data they have, the better the models and the better the AI ​​becomes.

Breakthroughs in machine learning

When I say “identity”, what do you mean?

If you’re like me, you immediately start thinking about what makes you, well, you — your height, the color of your eyes; what job you have, what car you drive, which shows you enjoy binge-watching.

In other words, the amount of data associated with each individual identity is both endless and unique.

These attributes make identity data extremely valuable.

Until recently, however, companies didn’t know how to extract value from this robust dataset. Everything is changing right now.

Breakthroughs in artificial intelligence and machine learning technology enable companies to transform identity data into more personalized, secure and streamlined user experiences for their customers, employees and partners.

Data volume and granularity are explode right now, mainly because every object in the world is becoming a data-producing device.

Dumb phones became smartphones and started churning out a ton of phone usage data.

Dumb cars became smart cars and started producing lots of on-board driving data.

And dumb apps became smart apps and started churning out loads of consumer preference data.

Dumb watches became smartwatches and started churning out loads of fitness and activity data.

The AI ​​revolution

As we move into the “smart world” – where every object is a smart device producing data – the amount of data that AI algorithms have access to has exploded at lightning speed, making them more capable than ever.

If not, why has AI started popping up everywhere in recent years? That’s because 90% of the world’s data was generated in the past two years alone.

More data, better ML and NLP models, smarter AI.

It’s so simple.

And guess what? The world will not back down from this “smart” pivot. No. We love our smartphones, smart cars and smartwatches way too much.

Instead, the company will accelerate in this passage. Globally, the world produces around 2.5 exabytes of data per day. By 2025, this number is expected to reach 463 exabytes.

A new era of machine learning

Back to our process.

More data, better ML and NLP models, smarter AI.

So, while the volume of data produced daily will increase more than 185 times over the next five years, ML and NLP models will be 185 times better (more or less) and AI machines will become 185 times smarter (more or less ).

People, the AI ​​revolution is just beginning.

As my friends in the fields of machine learning and robotics like to remind me, most things a human does, a machine will be able to do better, faster and cheaper – if not now, then soon.

I’m inclined to believe them, given the progress AI has made over the past few years using data – and the exponential amount of it to come over the next few years.

Eventually — and inevitably — the world will be run by a hyper-efficient, hyper-intelligent AI.

I’m not the only one to think that. Gartner predicts that 69% of routine office work will be fully automated by 2024, while the World Economic Forum said robots will handle 52% of current work tasks by 2025.

The AI ​​revolution is coming – and it will be the biggest revolution you have seen in your life.

Democratize the power of AI

You must be invested in this emerging tech megatrend that promises to change the world forever.

Of course, the question remains: What AI Actions should you start buying now?

You can play it safe and go with the blue chip tech giants, all of which are making breakthroughs with AI and are low risk, low reward games on the AI ​​revolution. I speak Microsoft (NASDAQ:MSFT), Alphabet (NASDAQ:GOOG), Amazon (NASDAQ:AMZN), Adobe (NASDAQ:ADBE) and Apple (NASDAQ:AAPL).

However, that is not how we do it. We don’t like “sure” – we like “better.”

Right now, enterprise AI software is used very effectively by Big Tech – and is used inefficiently or not at all by everyone else.

Today’s AI companies are changing that. And the best way to play the AI ​​revolution is to buy the stocks that change the paradigm in which they exist.

And our flagship investment research advisory service Innovation Investorwe’ve put together two comprehensive portfolios – the Automation Economy Portfolio and the Big Data & Cloud Portfolio – dedicated exclusively to the best AI stocks to buy today.

Between these two portfolios, we have identified several AI stocks to buy for huge long-term returns.

Again, these AI stocks are not the “safe” way to play the AI ​​revolution. They are the best way to do it.

Play to win

A company is at the forefront of a new model-based architecture. Indeed, this represents a promising paradigm shift in the AI ​​application development process that will eventually democratize the power of AI so that it is no longer a weapon used by Big Tech to crush its adversaries.

Essentially, this company has pre-built several highly scalable AI models into its ecosystem. And it allows customers to create their own AI models by simply modifying these pre-made models and stacking them on top of each other.

Think of creating an AI application as a puzzle. You need to have the right parts and the right directions. In other words, all customers need to do to effectively use the power of enterprise AI is to put it together in the way that works best for them.

Equally important, building these puzzles isn’t rocket science. The company does all the hard work to make the actual models. Customers just have to choose which ones they want to use and decide how they want to use them.

In some cases, coding and data science are still needed, but not much. Today’s top AI companies make it easy to develop, scale, and apply insights without writing code.

It’s an awesome breakthrough to bridge the growing AI gap between Big Tech and everyone else.

Eventually, all businesses in all industries and of all sizes will leverage the power of AI to improve their business, increase revenue and reduce costs.

Of course, this reality bodes well for AI stocks in the long run.

Just know which ones are worth buying and which ones are not…

As of the date of publication, Luke Lango had (neither directly nor indirectly) any position in the securities mentioned in this article.

Sherry J. Basler