Top AI trends to watch out for in 2021

Table of Contents

โ€œHey Siri, what are the top AI trends?โ€

โ€œAlexa, play the music!โ€

โ€œOk Google, what is the current temperature?โ€

Thanks to Artificial Intelligence (AI), these phrases that were once unknown, have now seamlessly become a part of our everyday vocabulary.

Have you ever been fascinated by the human-robot Sophia or by cars that are driven requiring no human involvement or drones delivering pizzas? Then this article for you!

What is Artificial Intelligence?

Artificial Intelligence (AI) is a branch of computer science concerned with the development of intelligent machines that function and behave similarly to humans.

So, what are the emerging trends in AI? Top AI trends in business are developing, ranging from Siri to self-driving automobiles. While Artificial Intelligence and machine learning are frequently depicted in science fiction as human-like robots and may include anything from Google’s search engines to IBM’s Watson to autonomous weapons. 

If you are wondering what is the meaning of Machine Learning? It is a branch of artificial intelligence based on the concept that machines can learn from data, identify patterns and make decisions with minimal human intervention.

The presence of Artificial Intelligence and Machine Learning is felt not just at the industry level where huge organisations use technology to keep challenging the human brain, but also at an everyday level like a Snapchat or Instagram filter or something as basic as unlocking your phone. The possibilities are endless and we have just begun.

With the outbreak of the pandemic, one thing became apparent: digital change. The rapid change that was supposed to take 5 years happened in just 6 months.

Key Takeaways

  • The rapid use of AI, machine learning, intelligent automation, virtual reality, augmented reality, and other sophisticated technology-based solutions have advanced and will continue through 2021.
  • There will be broad adoption of digital transformation. Furthermore, it will proactively equip companies to deal with future uncertainties, complicated security and privacy problems, ethical AI usage, and the growing impact of climate change. 

Let’s take a look at these 10 top AI trends for 2021 to know what does the future of AI hold for us:

1. Ethical AI

If you are wondering what is ethical AI, it is one of the most popular trends in 2021. There have been concerns regarding the use of robots and artificial intelligence (AI).

In recent years, several individuals, corporations, and governments โ€“ have been interested in the ethical problems surrounding AI, with researchers exploring methods to make AI more transparent and dependable.

Huge companies such as Google, Microsoft, Apple, Facebook, and other tech giants, are developing ethical AI that adheres to a four-part ethical framework for successful data governance: fairness, accountability, transparency, and explainability.

These firms are launching initiatives and studies in an effort to persuade other businesses to embrace ethical AI with customized solutions that are tailored to their specific needs.

Example

Ethical issues, especially in industries where personal and business data is at stake. While AI-powered analytics can give useful insights into human behaviour, it is unethical to use analytics to control human judgments.

The data controversy involving Facebook and Cambridge Analytica is the most well-known example of analytics misuse. Companies are therefore shifting to Ethical AI for transparent use of technology.

2. Explainable AI

Explainable AI, often known as XAI, is a new branch of machine learning that seeks to explain how AI systems make judgments. This section examines and attempts to comprehend the steps involved in the AI model’s decision-making process. This is used to gather useful business information and forecast the future.

Companies that use disruptive technology must be transparent with their stakeholders and provide a detailed explanation.

The 4 principles of explainable AI are:

  • Systems deliver accompanying evidence or reasons for all outputs
  • Systems provide explanations that are understandable to individual users
  • The explanation correctly reflects the systemโ€™s process for generating the output. 
  • The system only operates under conditions for which it was designed or when the system reaches a sufficient confidence in its output. 

Example

While AI could have significantly COVID-19 if it had been used from the beginning, or even before there was even a single instance of the virus, data ethics were and continue to be required. One of the key issues was the gathering, using, and sharing of data gathered from a large number of people in society. Given all of these ethical considerations, corporations and governments alike will be required to give as AI becomes more prevalent.

3. Emotional AI

One of the newest forms of AI, Emotional AI also known as affective computing is the creation of intelligent robots that identify and understand nonverbal signs from people, such as body language, facial expressions, gestures, skin temperature, physical mannerisms and tone of voice; determine the emotional state based on these clues, and respond appropriately. Emotional AI functions at 2 levels:

What is Artificial Intelligence at an emotional level?

Emotion Perception level- The objective of an is to perceive, comprehend, and interpret the complex emotional dynamics of a human or non-human subject 

Emotion Synthesis and Response level- The objective is to absorb the knowledge gained at the perception level and develop suitable emotional reactions to transmit to the topic

Example

Emotional AI can read both verbal and nonverbal cues to comprehend consumer behaviour and their covert needs. By analysing how people react to various stimuli, subjects, products, and services, using high-tech cameras and chatbots, AI can accurately identify different human emotions and record responses. In 2021, this development in Artificial Intelligence will make a huge impact on the retail business.

4. AR and VR technology

As a result of the viral spread, work from home and sanitizing became the new normal. Travel was severely limited, and major events were cancelled entirely. Because of all of these COVID-19 constraints, as well as the requirement for remote work and study, the market for augmented and virtual reality exploded. 

There’s no better time to learn about the AR and VR technology that will invade the IT sector in 2021 than now.

Examples

So, where is artificial intelligence with AR and VR technology used?

Indoor Navigation: In enclosed locations, GPS is ineffective; thus Indoor navigation is made possible via augmented reality. It provides more precise user location data, as well as an array of other advantages for businesses. Volkswagen used augmented reality (AR) indoor navigation in their production operations to enhance localisation.

AR Remote Assistance: With augmented reality, you will be able to communicate what you observe with a technician without them being present with you. The specialist will be able to annotate your screen, show you what you need to do and how you need to do it, and quickly resolve your difficulties!

VR and Education Training: VR training is steadily gaining popularity. Businesses all around the world are investing in virtual reality gear and software to train their workers in new procedures and processes in a safe, cost-efficient, and productive manner.

360-degree virtual reality marketing: Integrating 360-degree sceneries into marketing efforts is a specialised application of virtual reality. 

5. AI in Robotics

Robotics is transforming industries in every way possible, and its benefits are being realised all around the world. Artificial intelligence is increasingly being employed in robotics solutions, allowing robots to become smarter and more complex than ever before. It’s a winning combination for enhancing customer service while staying within budget.

Robots might do successful surgeries, dance, protect people from dangerous circumstances, and perform a variety of other activities if Artificial Intelligence is integrated with RPA.

Example

Hanson Robotics, located in Hong Kong, said that four models, including Sophia, will begin production in 2021, just as academics anticipate that the pandemic will provide new prospects for the robotics sector. The Pepper robot from SoftBank Robotics was used to detect individuals who weren’t wearing masks. Even in adverse conditions, social robots will take care of the sick or old, as well as converse, conduct therapy, and provide social stimulation.

6. AI in Cybersecurity:

This data-driven world has led to a data overload, making it tougher for businesses to safeguard their data sets from malevolent hackers. There is a need for AI to be integrated with cybersecurity to build a more advanced and powerful defence against damaging cyberattacks such as phishing, ransomware, viruses, and other threats. 

Any unauthorised behaviour in current systems may be detected and notified in a jiffy by AI. It makes it difficult for hackers and malpractitioners to get access to any system. Through intelligent code analysis and configuration analysis and activity monitoring, AI improves cybersecurity.

Also read: How To Prevent Cybersecurity Attacks: An Ultimate Guide

Example

Emerging trends in AI cybersecurity are-

  • Creating security solutions that are automated
  • Recognizing and prioritising threats
  • Detecting threats automatically
  • Detecting malware in real time
  • Detecting invasions before they start

AI-powered threat detection systems can forecast new assaults and alert administrators to potential data breaches. AI has enabled cybersecurity teams to establish strong machine-human relationships that propel the industry forward.

7. AI in Computer vision

Computer vision is a branch of AI that employs Machine learning and Deep learning to enable computers to “see” and evaluate their environment. Computer Vision has a huge influence on businesses across the board, from retail to agriculture. It’s especially beneficial in situations when there is an absence of a human eye to see what’s going on.

Examples

The integration of Artificial Intelligence into Computer Vision has transformed existing computer systems into smart computers with the following capabilities: analysing human postures and movements, tracking humans and vehicles for data collection as well as for law enforcement officers, analysing videos with high-tech CCTVs, facial recognition of the required person, detecting differences.

In 2021, this has been extensively useful in detecting the absence of Safety Masks and PPE and other necessary regulations like social distancing for employee safety.

8. AI in Predictive Analytics

AI determines the existence and amount of changes in one element induced by changes in another within the same data set using a combination of machine learning applications and statistical approaches. Following the establishment of causality, the AI may apply the same models to fresh data sets and forecast whether the second factor will change.

Predictive analytics helps all types of organisations to discover consumer trends in order to get the pulse of their current consumersโ€™ behaviours. 

It uses customised data that has been collected for a long period to anticipate all possible reactions from the target population. Artificial intelligence and machine learning algorithms are advancing, allowing more accurate forecasts and insights, allowing for greater consumer interaction and a higher return on investment from the worldwide market.

Example

The Microsoft Sports Performance Platform is one of the most recent additions to sports predictive analytics. It’s a platform that helps players and teams make data-driven decisions about nearly every element of the game, from individual training plans to team formation. By taking into consideration parameters like distance run and temperature, the algorithms can potentially avoid injuries and estimate overall recovery time.

9. AI in MarTech

So, what is MarTech? The term “MarTech” refers to the merging of marketing and technology in order to achieve marketing goals and objectives. Marketing is regarded as the data centre of a business since they gather, organise, and communicate data about their consumers to internal stakeholders. Thus it is essential to know how to collect and use this data.

Example

When you use AI for retargeting marketing, you can track potential consumers even after they leave your online store or website, reminding them of your offers. Ecommerce shops sending cart abandonment emails are examples of retargeting through AI.

According to research conducted by email marketing platform Moosend, 50% of consumers who click through after getting a cart abandonment email complete the final purchase. When a consumer visits your website or landing page but does not take action, AI retargeting is utilised in email marketing. 

10. AI in Healthcare

The deadliest epidemic since the Spanish flu over a century ago hit the planet in 2020. Medical practitioners were (and still are) at danger of infection, overwork, and exhaustion in the healthcare business. Patients with various ailments and diseases that require emergency services are unable to obtain the treatment they require due to an overburdened healthcare system. 

The role of AI in healthcare has been garnering more and more attention due to limited manpower. Hospitals and healthcare systems will use AI to automate some activities, such as triaging and diagnosing patients or reviewing their patient’s medical data in order to best identify high-risk individuals or those who may have something that prior office visits missed.

Examples

AlphaFold 2 is a programme developed by Google’s DeepMind is developed to help scientists to gain a better understanding of illnesses and in developing new medicines. Radiologists and other medical experts have already been utilising AI to assist in the scanning of X-rays and MRIs in order to detect illnesses and other issues. As accuracy rates continue to climb past what humans can perceive, they should rely on AI more in future.”

Conclusion

Many activities will be able to benefit from AI involvement in the future. 

However, rather than people being replaced, the combination of AI and humans is more likely to provide the biggest advantage to the workplace. 

As a result, we may argue that AI’s position in the future workplace will be determined by how it “interacts” with people. Socially undesirable consequences might be avoided if human values are clearly defined and incorporated into AI systems.

So, is AI a threat or an opportunity? Will automation eliminate all employment or will they generate more than they eliminate? Opinions are varied on this, and the reality is likely to fall somewhere in the middle.

People will be required to participate in life-long learning, enhance their skills, and adapt to the changes in their employees more frequently than in the past as AI continues to alter the world of work.

As humans increasingly collaborate with AI, we must foresee any negative health and safety repercussions, analyse the risks, and share this knowledge to benefit the future working environment.

Frequently asked questions

  1. What are the main AI technologies?

    Natural language generation, speech recognition, virtual agents, machine learning platforms, AI optimised hardware, decision management, deep learning platforms, biometrics, robotics automation, text analysis, cyber defence, compliance, knowledge worker assistance, content creation, emotion recognition, image recognition, and marketing automation are a few of the AI technologies that are being developed.

  2. What are the dangers of AI?

    The dangers of AI include having control of critical infrastructure like the power grid, going out of control or being hacked. This is where the role of ethical AI comes into the picture.

  3. What are the benefits of AI?

    Menial duties might be mechanised by AI, resulting in a world of wealth, leisure, and freedom from poverty and tedium. The benefits of AI include the potential increase in our ability to comprehend and manage complicated biological processes, paving the way to much better longevity and health, as well as eradication of diseases.

  4. What is the future of AI?

    Environment monitoring and reaction for climate change objectives, automated transportation, taking over hazardous jobs, robots working alongside people, enhanced care for the elderly, and cyborg (organic/biomechanical) organisms are a few of the foreseeable advancements in the field of AI.

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