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Microsoft (NASDAQ: MSFT) Founder Bill Gates was speaking to a group of students in 2004.
according to The New York TimesGates was a little concerned about the decline in the number of majors in computer science, as well as the idea that the field had matured and that there was not much left to do in the region.
One student expressed doubts that another technology company would be as successful as Microsoft. Gates's answer is revealing:
& # 39; & # 39; If you invent a breakthrough in artificial intelligence, machines can learn, this is worth 10 microfiches. & # 39; & # 39;
He was not kidding …
Source of the image: Getty Images.
Fast forward to today, and of course somebody at to guess. This special type of artificial intelligence is calling machine learning.
In fact, Gates was too conservative in his estimates. Experts say the market opportunity is now far away, far greater than 10 microfiches.
And Gates is not alone in his optimism. Other great business leaders are also in the game.
- Jeff Bezos, the founder of Amazon (NASDAQ: AMZN), said that he thought this new technology was the key to Amazon's future.
- Sun CEO Greg Papadopoulos calls it "a real revolution".
- Even the super-investor Warren Buffett said it would have an "extremely beneficial social effect".
When the machines go to college
We have already referred to machine learning as being the beginning of the current explosion of AI. It is "simply" software that ingests data, learns from it and can then form a conclusion on something in the world.
So, the key to understanding machine learning is that it's software that writes. Instead of explicitly programming software, you provide it with large amounts of data and let it learn for you. This allows machine learning to solve problems that previous software, even billions of lines of code, could not solve.
A more powerful subset of machine learning is in-depth learning, which basically simulates how neurons in the human brain strengthen connections between them to learn.
If you're wondering how companies such as Amazon, Google, Microsoft, and Facebook have become some of the largest in the world, you need to know how well they've integrated machine learning and learning. in all aspects of their activities.
So many examples, so little space
Amazon is a perfect example. It was one of the fastest companies in the world to adopt this technology, which serves as a preview for the future. As CEO Jeff Bezos pointed out in a letter to shareholders:
"Machine learning drives our algorithms for demand forecasting, product search ranking, product recommendations and offers, merchandising placements, fraud detection, translations, and much more." Even more so.Although less visible, the impact of machine learning will be of this type significantly improve the basic operations. "
With the success of Amazon, other retailers have also been forced to improve their games. Walmart Data manager Bill Groves mentioned at a technical conference last month how his company was using NVIDIA Machine and equipment learning for product forecasting, supply chain management and understanding consumer behavior. "So, when the customer arrives, the product that he wants is on the shelf."
Facebook is a great example of the power of machine learning: it uses it to determine the content of your news feed and the advertisements you could respond to. (The controversy surrounding the company's elections also highlights the extreme challenges associated with using such a powerful technology.)
Facebook benefits tremendously from the network effect, which makes a service more valuable as the number of users increases. And this company has one of the largest consumer data caches in the world. All of this data would not be nearly as valuable without a way to understand it. It's here that machine learning comes into play because Facebook can target advertising in an extremely specific and effective way.
Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) Google was also among the first leaders. It's another company with a gold mine of data that can target online advertisements in an unusual way. Alphabet even offers other companies services such as machine learning and image recognition through cloud services.
Of course, Alphabet's Waymo self-drive division also depends heavily on AI. The "brains" of an autonomous car must constantly evaluate the environment that changes and make decisions at split-second, life or death. It's so effective that even at the very beginning – at the beginning of the Autonomous Revolution – it's easy to see how AI can save millions of lives in the future.
There are many, many more than I have room for here. Credit card companies have used machine learning to improve fraud protection. Netflix use it to give you movie recommendations. Advances in robotics will change our lives far beyond vacuum cleaners. The implications in the health field are enormous.
To do all the history, Gates' only tool, that of Gates, is placed only above Amazon in the cloud computing and uses the AI for tasks such as recognition of 39 objects and speech translation on its Azure platform.
Microsoft provides the Azure Machine Learning cloud service that allows any developer to create and train their own machine learning models, something that Gates would have been very excited about in 2004.
Final result for investors
Honestly, this article is only a first step to help you, as an investor, understand that artificial intelligence, machine learning and deep learning are essential elements of all sectors and from almost all big companies. It reminds me about twenty or so years ago when savvy investors realized that almost every business would eventually be an "Internet business". The same is true for AI.
As processors get faster, storage becomes cheaper, software is more efficient, and data collection is more efficient, AI will become more intelligent and more and more important. It is clear to me that the big companies of the next decade and beyond will also be the most innovative in the development and use of AI.
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