Top Trends in Artificial Intelligence and Machine Learning That are Here to Stay

The entire world came to a standstill when the Covid-19 pandemic hit in early 2020. Teaching at educational institutions and working at offices came to a halt. But everyone soon switched to digital platforms. The use of Artificial Intelligence (AI) in our lives flared up all of a sudden.  

What is Artificial Intelligence?

Artificial Intelligence (AI) is a form of technology developed to make computers more “smart” or enhance their “intelligence.” The aim is to make the systems or programs have thinking and learning skills so that they can self-teach. Some common examples of AI are Voice assistants like Apple’s Siri, Google Assistant, and Amazon’s Alexa.

What is Machine Learning?

Machine Learning (ML) is a subset of Artificial Intelligence which can be explained as the capacity of a machine to mimic human actions and behavior in order to carry out sophisticated tasks similar to the way humans solve problems.

In the past year, we saw countless applications of both AI and ML in our day-to-day lives. Let’s take a look at the ones which will stay in our foreseeable future. 

Top Trends in Artificial Intelligence and Machine Learning

1. Customer Care Digitalization 

Customer care is an essential department for all companies. Companies have switched to chatbots on their websites to provide more beneficial customer services and augment customers’ experiences. Chatbots are increasingly popular on websites to help customers book air tickets, railway tickets, or even order food. Chatbots use NLP and ML to render a human-like interaction. For example, Domino’s chatbot helps order food through the website more efficiently. Another example is that you can ask DISHA on the Indian Railway website, IRCTC.

2. Robotic Process Automation (RPA)

The introduction of Artificial Intelligence as RPA has helped millions. RPA or Robotic Process Automation is a comprehensible technology as it helps in deploying and controlling software bots to impersonate human actions with software and computing systems. The robots can comprehend things like what’s displayed on the monitor screen, operate computer systems, help identify, extract, and classify data through numerous processes, and carry out a whole range of other actions quicker than human beings with more consistency. This helps automate all the business processes with an ERP ( Enterprise Resource Planning) system to carry out tasks.

3. Self Driving cars

Deep learning, a subfield of AI, is utilized in self-driving cars and is also being employed to help the cars park by themselves by acknowledging the space around the car or vehicle. Nvidia, a computer system and technology company, has introduced an AI-empowered software that is applied in cars manufactured by companies like Audi, Tesla, Mercedes-Benz, and Toyota, making it entirely autonomous, which will transform the way people allow cars to drive themselves.

4. Natural Language Processing

Natural Language Processing (NLP) is another branch of AI that provides computer systems with the capability to understand spoken words and text in the ways humans interpret. The most popular form of NLP usage can be seen as Amazon’s Alexa, Apple’s Siri, and Google Home. This technology has eradicated the requirement of a screen as robots can now understand human languages.

5. Cybersecurity 

Security of the data on the web is vital as there is a greater risk that the digital data will be exposed to security threats like hacking, phishing attacks, and more. In order to help such detection, cybersecurity precautions must be taken, like guarding passwords with 2-factor authentication. AI can help prevent these attacks by updating the security system of different departments to identify malicious activities and eliminate them and prevent anything that puts the business at risk. An AI-enabled infrastructure can detect fraudulent activity and can match them with the criminal records of the past. Additionally, it can use the collected data from monitoring these activities to develop algorithms that will aid in speculating future patterns of suspicious activities.

6. Internet of Things (IoT) and AI/ML

The Internet of Things (IoT) can be defined as an interface of physical “things” usually implanted with software and other technologies like sensors to connect and swap data with other systems over the internet. For example, in the Green Horizons project, sensors shall be installed near roads that can help in collecting data based on traffic levels and vehicle emissions that cause pollution. Machine Learning can devise an algorithm to find possible ways to assist in the reduction of pollution. It will soon converge with AI and ML to exchange large amounts of data.

7. Artificial Intelligence (AI) Ethics

AI is one of the rising developments in technology as there is a wide usage of it in our daily lives. Due to this very reason, there is a need to manage AI responsibly in order to maintain the integrity of the data. Otherwise, companies might be prone to identity and legal risks. There is a requirement of ethical utilization of Artificial Intelligence as customers expect that AI is used responsibly. Hence, one can expect companies to commit to data and AI ethics in the upcoming years. For example, top companies like Amazon and Microsoft have chosen to use ethical-based questions to increase AI in security systems instead of their facial recognition devices by the US police departments.

8. AI in healthcare 

AI has tremendously helped in identifying patients with Covid-19 during the pandemic. It has been an excellent aid to the healthcare sector due to its highly accurate reports and results. Certain developers have also created thermal cameras and applications on the cellphone to check an individual’s temperature in order to collect data for healthcare institutions. AI can be implemented to spread awareness about diseases and prevent them and provide other details on maintaining your health by tracking the individual’s health status, which can ultimately promote the teleconsultation of patients. Building a facial analysis technology to diagnose diseases can prove to be a huge success.

9. Business forecasting and analysis with AI

Preparation of business forecasts can be taken to a whole other level with the utilization of AI. The market requirements can be understood by implementing cognitive automation and hyper-automation. It will assist in extracting the best judgment, reasoning, and other data-related perspectives.

10.AI/ML transparency

As businesses automated daily operations ever since the Covid-19 pandemic hit, AI and ML technologies are becoming vital to understand. Companies have digitized almost all of their operations ever since the work from home was implemented. There is a need to make these cutting-edge technologies clear and explainable. Things like data regulation and privacy obligations call for a necessity of AI transparency. White-box models can help explain the concept of interpretation and demonstrate how they behave, how predictions are produced, and what influences the variables.

The Bottom Line

Artificial Intelligence and Machine Learning are now the future. AI and ML benefit us, humans, in every possible way. Most of the trends mentioned above are set to stay. 

Learning about the above trends in AI and ML can make one fascinated to learn more about this field of science and technology. You can sign up for one of the best AI training to upskill your expertise in AI and ML from one of the top universities in the world.

 

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