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<h2><strong>Top 5 Machine Learning Industries in 2022</strong></h2>
<h3>Machine learning is rapidly expanding into a lot of industries and
sectors!</h3>
<p>
<img src="assets/img/blog-2-1.png" width="" alt="alt_text" title="image_tooltip">
</p>
<p>
<a href="https://www.nature.com/collections/hchdibjchj">Source</a>
</p>
<h2><strong>Introduction</strong></h2>
<p>
While artificial intelligence was no more than a theoretical concept in the old
days, nowadays, companies are spending small fortunes on adopting machine
learning and other AI-based technologies into their own products, services, and
more. Unshockingly, machine learning can be found in most industries nowadays
and with more industries to come. What artificial intelligence can achieve and
accomplish is unknown, from weather forecasts to auto-driving cars and scanning
for tumors in the human body AI is just a wonder waiting to be utilized in our
daily lives.
</p>
<p>
In this short article, we will state 5 industries that rely heavily on machine
learning and artificial intelligence in general. All these industries have been
improved greatly by AI, whether by saving costs, precious time, saving lives, or
accomplishing things never heard about before. Without further due, let’s dive
into 5 of the most heavily infused AI industries of our day.
</p>
<h2><strong>Top 5 Machine Learning Industries in 2022</strong></h2>
<h3><strong>1. HealthCare</strong></h3>
<p>
As one of the most, if not the most, critical user of machine learning nowadays,
the healthcare industry can be considered one of the top machine
learning-infused industries of the decade. With many great leaps in the medical
industry, in this section, we will only mention two usages of AI in the medical
industry.
</p>
<h3><strong>Medical Diagnosis and Disease Classification</strong></h3>
<p>
<img src="assets/img/blog/blog-2-2.png" width="" alt="alt_text" title="image_tooltip">
</p>
<p>
<a
href="https://healthitanalytics.com/news/top-5-use-cases-for-artificial-intelligence-in-medical-imaging">Source</a>
</p>
<p>
Although still unfledged in some areas of disease identification, machine
learning has proven to provide great accuracy in certain body diagnoses.
</p>
<h3><strong>Removing tedious tasks by using Speech Recognition</strong></h3>
<p>
<img src="assets/img/blog/blog-2-3.png" width="" alt="alt_text" title="image_tooltip">
</p>
<p>
<a
href="https://www.quora.com/What-should-doctors-do-when-they-are-pretty-much-replaced-by-AI">Source</a>
</p>
<p>
One of the main benefits of AI is its ability to understand human language or
what is more commonly known as Natural Language Processing. It doesn’t matter if
the words are written or spoken machine learning models are able to understand
and process such words into a machine-understandable format. In the case of the
healthcare industry, special machine learning models are able to understand and
classify clinical documentation, removing unnecessary tasks from doctors’ daily
to-do lists such as writing prescriptions, entering patients’ data manually, and
so on.
</p>
<h3><strong>2. Transportation</strong></h3>
<h3><strong>Self Driving Cars</strong></h3>
<p>
<img src="assets/img/blog/blog-2-4.png" width="" alt="alt_text" title="image_tooltip">
</p>
<p>
<a
href="https://www.ericsson.com/en/blog/2020/1/self-driving-car-passenger-experience">Source</a>
</p>
<p>
With great funds being poured into the autonomous self-driving car industry,
customers can expect to never hold a steering wheel again. By including
ultrasonic sensors at certain car dimensions, the self-driving car can detect
the location of surrounding objects such as cars, curbs, and more. Using
advanced machine learning algorithms, cars can then calculate the best path to
take on a road, allowing for full driving automation.
</p>
<p>
Although still not completely functional, customers can expect more of the
self-autonomous car industry in the coming decade.
</p>
<h3><strong>3. Finance</strong></h3>
<h3><strong>Reducing loan risks</strong></h3>
<p>
<img src="assets/img/blog/blog-2-5.png" width="" alt="alt_text" title="image_tooltip">
</p>
<p>
<a href="https://www.graphen.ai/products/loan_risk_prediction.html">Source</a>
</p>
<p>
Where there is money to be gained, machine learning can be used. With machine
learning algorithms that are capable of accurately predicting how future stocks
rise, nowadays
</p>
<p>
Machine learning models can predict and assess loan risks, reducing overall
financial costs.
</p>
<h3><strong>Fraud detection in bank systems</strong></h3>
<p>
<img src="assets/img/blog/blog-2-6.png" width="" alt="alt_text" title="image_tooltip">
</p>
<p>
<a
href="https://emerj.com/ai-sector-overviews/artificial-intelligence-fraud-banking/">Source</a>
</p>
<p>
By studying previous customer patterns, artificial intelligence can be used to
detect any miscellaneous activity done by users. By using such a fraud detection
system, banks can detect scammers early on, saving massive amounts of money.
</p>
<h3><strong>4. Retail and Customer Service</strong></h3>
<h3><strong>Recommendation systems</strong></h3>
<p>
<img src="assets/img/blog/blog-2-7.png" width="" alt="alt_text" title="image_tooltip">
</p>
<p>
<a
href="https://nafeea3000.medium.com/recommender-systems-c8db209dd0d3">Source</a>
</p>
<p>
For the past decade, recommender systems have proven their worth in gold. With
individual customers having their own personal salesperson, who knows all their
likes and dislikes, it’s hard for customers to not be continuously hooked on
buying more and more. With companies such as Amazon gaining most of their
revenue through the usage of recommender systems, it’s no surprise that they are
spending millions on improving and perfecting such systems for utmost profits
and sales.
</p>
<h3><strong>5. Real Estate and Property Evaluation</strong></h3>
<p>
<img src="assets/img/blog/blog-2-8.png" width="" alt="alt_text" title="image_tooltip">
</p>
<p>
<a
href="https://www.inc.com/james-paine/3-ways-ai-is-changing-real-estate.html">Source</a>
</p>
<p>
Can you not judge how much your house would sell for in today’s market? It is
common nowadays that real estate owners cannot accurately predict how much their
properties go for. With hundreds of factors such as location, size, weather, and
more, the human analysis may get a bit more complex for the human brain. Here is
where AI comes in handy, with advanced machine learning modes capable of
accurately predicting real-estate properties with hundreds of factors
accurately. Such models learn from millions of sold or cost-known properties,
allowing for further predictions of new properties.
</p>
<h2><strong>Conclusion</strong></h2>
<p>
Whether in medical care, transportation, finance, or retail, artificial
intelligence and the ability of human thinking have vastly improved such
industries in the past couple of decades. By saving millions of lives, time, and
billions of dollars, who knows what AI can accomplish in the coming couple of
years.
</p>
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<img src="assets/img/client/1.jpg" class="avatar" alt="image"> <b class="fn">Wilson Swanson</b>
<span class="says">says:</span>
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<a href="#">
<span>June 15 - 2021 12:30 PM</span>
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<img src="assets/img/client/2.jpg" class="avatar" alt="image"> <b class="fn">Ella Hodges</b>
<span class="says">says:</span>
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<span>June 15 - 2021 12:30 PM</span>
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<img src="assets/img/client/4.jpg" class="avatar" alt="image"> <b class="fn">Melissa Bryant</b>
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<span>June 15 - 2021 12:30 PM</span>
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