Over the past years, Artificial Intelligence is one of the popular and most talked-about technological developments. AI has been involved in deriving great innovations across industries and offers many benefits. Moreover, AI applications and solutions are sure to increase significantly in 2021 and the future. 

Due to the pandemic, many organizations have adopted Artificial Intelligence at a vast scale. IDC had predicted in 2019 that spending on AI technologies would increase to $97.9 billion by 2023. However, since the COVID-19 pandemic hit the world, the potential value of AI has only increased.

What Is Artificial Intelligence?

Artificial intelligence is exhibited by machines, unlike the natural intelligence displayed by humans and animals.

AI focuses on procedures, concepts, and technologies that facilitate computers to think and act as humans. It is an innovative and intelligent concept that aims towards making machines smarter by performing activities barring human intervention.

AI developments include various working areas like computer science, mathematics, linguistic capabilities, machine learning, and philosophy. It is divided into reactive machines, limited memory, the theory of mind, and self-awareness.

A wide list of industry segments is leveraging the potential of AI, Big data, and Machine Learning, and some of which are healthcare, retail, education, transportation, advertising, entertainment, manufacturing, shipping and logistics, and more.

Key Features Of Artificial Intelligence:

• Replicates human understanding
• Automates simple and repetitive tasks
• Real-world modeling
• Efficient statistical calculations
• Futuristic and supports data ingestion
• Quantum and cloud computing

What 2021 Holds for Artificial Intelligence

There has been a quick change in consumer trends in the post-Covid-19 life. The ethical use of artificial intelligence, security concerns, complex privacy, and the increasing effect of climate change will drive enterprises to integrate systemic risk into long-term planning. The transformation drives evolution, and AI is one of the big technology trends for 2021 and beyond.

So, here are the top 10 AI trends in 2021 that organizations should track on moving forward to the next decade.

AI for Cybersecurity and Data Privacy:

Cybersecurity threats grow with technology rises. In 2021, phishing and data risk will remain a problem. Now, AI will become more prominent to provide security and support against malicious activities.

AI will prevent cybercrimes with enhanced cybersecurity measures by spotting fake digital activities and transactions by following patterns to detect criminal activities. In 2021, more organizations and companies will implement AI to handle their cybersecurity tasks.

As threats continue to disturb companies, the list below demonstrates how companies have started using AI:

• Managing vulnerabilities: AI analyzes vulnerability management capabilities that companies face daily. Further, other AI tools like event and user behavior analytic tools help organizations detect anomalies on servers or analyze user behavior before the attack occurs.
• Threat hunting: AI service providers improve threat hunting easily by utilizing behavior analysis. For instance, profiles of every existing application can get developed by analyzing the organization’s data from endpoints.
• Network security: While creating network security, the organization needs to focus on two areas:
• Creating security policies: It helps check whether the connection is valid or malicious.
• Understanding the working of the network environment: companies should start getting naming conventions for applications and workloads. That is one major reason why most organizations spend unwanted time choosing which workloads belong to which application.

AI will help in structuring data:

In the coming years, we’ll see more unstructured data structured with machine learning processes and natural language processing. Organizations will use these technologies and create data that robotic process automation technology (RPA) can use when they want to automate transactional action in an organization. RPA is one of the fastest-growing sectors in the software industry, and the only limitation that it encounters is that it can only use structured data. However, with the help of AI, unstructured data can easily get converted into structured data, providing a defined output. 

Ethical AI

Tech giants such as Facebook, Google, Microsoft, Apple, and others are building ethical AI to follow a framework with crucial principles for effective data governance, i.e., accountability, fairness, transparency, and explainability. As a result, it is now the most talked about and popular AI development in 2021 for providing the inside look into its system to stakeholders. In addition, these companies are initiating multiple programs and research to encourage other companies to adopt ethical AI with personalized strategies as per the requirements of a business.

Natural Language Processing (NLP)

Natural Language Processing (NLP) is highly popular and can be attributed to the significant use of AI applications and voice search like Amazon Alexa and Google Home. NLP solutions use Machine Learning models to understand users’ queries and provide the most appropriate answers. In addition, it works with written and spoken material that describes a process and can significantly enhance user experience.

Predictive Analytics

Predictive analytics enables businesses to identify the consumers’ trends to better understand consumer behavior in the current scenario. Employing personalized data collected for a long time predicts all potential responses from the audience. Artificial Intelligence’s advancement provides more accurate predictions to maintain better consumer engagement and earn higher ROI from the global market.

AI in IoT

Artificial Intelligence has a huge scope in IoT (Internet of Things) with the help of 5G network. Implementing Artificial Intelligence into IoT can help smart devices such as wearable devices, virtual assistance, refrigerators, etc., to analyze data and make smart decisions efficiently based on the collected data without any human intervention. Moreover, it is used to optimize a system and enhance performance to meet the needs and wants of the target audience.

Quantum AI

Quantum computers can solve any potential query much faster than standard computers by using quantum bits. Quantum AI is expected to grow with Qubits as many organizations are looking to adopt the technology in supercomputers. Hence, it can come in handy to quickly process and analyze large data sets in real-time and predict unique patterns. Quantum AI is also expected to derive breakthroughs in various industries like finance and healthcare in the next decade.

Augmented processes

AI and data are key to competitive advantage and part of a bigger process automation and innovation strategy. Within that strategy, data ecosystems are governed, lean, scalable, and provide timely data from different sources, but at the same time need to adapt fast to foster innovation. In addition, companies are going a step further in optimization with augmented processes within business and development.

Augmented coding tools optimize software development processes. But, first, promoting a data-driven organizational mindset and then growing out of experimental stages of AI are needed to create a robust and sustainable delivery model.

AIOps 

The complexity of IT systems has increased over the last few years. Solutions that include more than one monitoring discipline like application, infrastructure, and networking. IT teams can improve their decision-making, key processes, and tasks with AIOps improved solutions and analysis of the data volumes. Also, the IT leaders to find AIOps providers who will enable the cross-team collaboration through end-to-end digital experiences, data correlation and integration of the IT operations management toolchain. 

Edge Computing

It allows businesses to transform their everyday data into actionable insights. AI in business offers data storage and servers solutions for applications and devices to ensure a seamless operation while promoting real-time data processing that is far more effective than cloud computing solutions. Moreover, as edge computing can also get carried on nodes, it can even enhance the capabilities of cloud servers.

What does all this mean?

These are more than trends in AI; however, noteworthy because they point in significant and critical directions:

• Continued innovation
• The real-world use of AI- as evidenced by the problems caused by COVID-19 and the growth of MLOps.
• Democratization into all industries and skill sets – as evidenced by low-code or no-code and its ability to bring AI to reach everyone from software engineers to school kids.

Enhanced Computer Vision Capabilities

No doubt computer vision has a role in 2021: banking, healthcare, manufacturing, or marketing. However, image and face detection is already used in many ways in many innovative solutions.

And it will continue to make trends in 2021, appearing in:

• Autonomous vehicles
• Automated waste segregation
• Social media filters
• Documents classification
• Translation apps
• Face recognition
• Healthcare

In 2021 and the foreseeable future, Artificial Intelligence will continue to serve as a central technological innovation. AI’s spectrum is wide and varies from industry to industry. Organizations need to stay updated with emerging AI service providers and trends to find ways to leverage AI-powered solutions to gain new heights. In the next decade, the acceptance and rapid growth of new & current technologies would be unparalleled. 

These are the top 10 AI trends in 2021, which will significantly impact almost every capital in the future. AI is an excellent technology playing a key role in helping industries enhance their workflows. Many companies have already started using AI-powered solutions to transform their business models and serve their customers better.