The Scope of Jobs with Artificial Intelligence and Machine Learning Certification

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In the 21st century, it is almost impossible to find an industry that hasn’t been affected by Artificial Intelligence and Machine Learning. Thanks to their advanced and versatile solutions, they are two of the most popular technologies in the world. Needless to say, they are growing at a fast pace. As such, tons of professionals are getting certification in this technology to give themselves an upper hand in the competitive job market. In this article, we will be discussing the scope of jobs with AI and ML certification.

AI and ML have been making a lot of progress, especially in the scientific sector. Through these technologies, a large quantity of data can be handled and processed quicker than human minds making it perfect for research that involves sources with high data volumes. AI has already made a ton of breakthroughs in the field. An example of this is the AI-based robot named ‘Eve’ who was able to discover a toothpaste ingredient capable of curing Malaria. AI and ML have been aiding researchers all over the world with drug discovery. Another field in which AI is used is Biotechnology where microorganisms are designed using the technology for industrial applications.

  • Cybersecurity

Another field benefitting from AI and ML is cybersecurity. Every day, more and more organizations are starting to transfer their data to the cloud and IT networks. This has made the threat of hackers more significant. Even one triumphant attack will be able to wreak havoc on the company. In order to keep their resources and data secure, companies are making investments in cybersecurity. AI and ML have a bright future in the field of cybersecurity.

 

An example of AI used in this field is the Cognitive AI that is capable of detecting and analyzing threats while also offering insights so that the company can make better-informed decisions. With the help of deep learning networks and machine learning algorithms, the AI will get more durable over time making it capable of fighting off advanced threats. 

 

Another cybersecurity field where AI and ML have found implementation is fraud detection. With the help of AI, organizations and people can detect fraud and avoid scams. For instance, the recurrent neural network can detect fraud in its early stages by scanning an extensive number of transactions quickly and classifying them in accordance with their trustworthiness. Organizations can save a lot of money and time by identifying such fraudulent tendencies and transactions.

  • Data Analysis

The field of data analysis has benefited a lot from AI and ML. Because of AI algorithms, there has been a tremendous improvement with iterations and their precision and accuracy. With the help of AI, data analysts are able to handle and process large datasets. AI is able to identify insights and patterns that human eyes can’t. Moreover, it is more scalable and faster at doing so. For instance, the Analytics Intelligence of Google Analytics uses machine learning for getting insights on the website. 

 

Another example of the application of AI in the data analysis sector is its scalability of using data to predict outcomes. For such systems, analytics data is used for predicting results and providing a course of action to get those results. AI and ML systems are capable of handling tons of data. So, they take customer data and make accurate predictions of customer preferences, behavior, and other factors. An example of such an AI application is Helixa.ai that uses AI technology for providing accurate insight into customer behavior. Through this service, marketers, and agencies are able to create better ad campaigns and build a precise buyer’s persona.

  • Transport

This sector has been using AI and ML for decades. Since 1912, airplanes have used autopilot for steering them in the air. The autopilot system can control the plane’s trajectory without being restricted to the aircraft alone. Spacecraft and ships also have the autopilot feature that helps them in maintaining the correct course. In modern aircraft, the pilot usually only works for about 7 minutes and the rest of the steering is handled by the autopilot. This way, the pilot is able to focus on other crucial areas like the trajectory of the plane or weather.

 

Another area in this sector that involves using AI and ML is driverless cars. Currently, many companies are making their own autonomous vehicles that rely a lot on AI and ML for operating optimally.  There are several short-term as well as long-term benefits of self-driving cars including enhanced road safety and lower emissions. For instance, self-driving cars won’t have any issue with human errors that are responsible for about 90% of traffic accidents.

  • Home

Through Smart Home Assistants, AI and ML have found a place in people’s homes as well. Google Home and Amazon Echo are two of the most popular smart home devices that can be used for performing various tasks using voice commands. You can play music, switch on/off the lights, and even order groceries. All of these commands rely on voice recognition technology which is a result of AI and ML. They learn from each command of the user to become more efficient and understand them better.

 

Smart assistants are also available on mobile phones. Google Assistant and Apple’s Siri are an example of that. Such systems recognize the voice of their users for interpreting them better. Also, they are capable of performing a multitude of tasks.

  • Healthcare

The medical sector has been taking advantage of this field as well. AI and ML have been helping medical professionals and researchers in numerous ways. For instance, Intel and the Knight Career Institute have developed a collaborative cancer cloud that takes data from similar patient’s cancer history so that doctors can make a better diagnosis. At this time, preventing cancer from reaching a higher stage is the most effective treatment.

 

By preventing diseases beforehand and aiding doctors in diagnoses, AI can help reduce medical costs as well. Brain-computer interfaces (BCIs) are another area that utilizes AI in the medical sector. Through these interfaces, doctors can predict any problem associated with moving or speaking that can cause problems in the brain. AI is used for helping the patients overcome these issues by decoding neural activates.

If you want to take advantage of the multitude of job opportunities available in these technologies, you need to enroll yourself in an AI and Machine Learning certification course.

 

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