Top 10 Artificial Intelligence Trends for 2021
Artificial intelligence as an industry phenomenon is growing rapidly and becoming a buzzword in every organization. Both AI and ML are finding their way to influence everything ranging from advanced computing systems, medical diagnosis to personal assistants. The recent survival of COVID-19 pandemic has greatly influenced several businesses to imbibe new patterns of working that is leading the way for innovations in artificial intelligence.
Here are the ‘Top 10 Artificial Intelligence Trends for 2021’ that may be considered as the new normal for the coming year.
AI and Automation
Rule-based automation has limited scope in reducing human intervention. To reduce the human intervention in certain monotonous business processes and improve productivity, a combination of robotic process automation and artificial intelligence known as Intelligent Process Automation (IPA), is adopted across industries which will replace the rule-based automation.
The IPA will enhance the efficiency, speed and accuracy of business process tasks by incorporating the processing power and flexibility of AI. Intelligent Process Automation is beneficial for businesses in reducing operational costs and processing errors, ensuring data privacy, increasing compliance, etc.
2021 is expecting a huge transformation in customer engagement as websites will be enabled with conversational AI systems that can perform personalized conversation with customers. Conversational AI systems are more advanced than catboats that enhance customer experience with context-based conversations.
Some of the major benefits of conversational AI for businesses are high TNPs (Transactional Net Promotor Score), increased productivity, lower operational costs, interactive brand experience, personalized communication, and enhanced employee experience.
AI to Combat Data Breaches
After the pandemic, the phishing attacks and data breaches are widely happening in every industry. The security of organizations is getting compromised with new modes of cyberattacks that causes financial burden to various organizations. In wake of these events, AI-based cybersecurity tools are emerging to help security teams to enhance their security regulations efficiently and effectively. These AI-powered security solutions will identify and fix cyber threats to combat data breaches in various industries.
The advantages of using AI-powered security solutions can identify security threats, enhance threat hunting process, and manage a large number of vulnerabilities, and offers consistent protection and long-lasting solutions.
As artificial intelligence is incorporated into a majority of business processes, questions are raised regarding the ethical issues associated with this emerging technology. Some of the ethical issues associated with artificial intelligence systems are unemployment, inequality in employee wages, AI bias, and security of AI systems.
In the coming decade, organizations need to work on building an ethical foundation for any AI-related jobs to bring in transparency and accountability. AI ethics will consist of a set of principles, techniques, and values that are standardized to create morality in the development and deployment of this technology.
AI-powered chips are going to be the next-gen microprocessors that enable artificial intelligence to function faster. AI-enabled chips will increase the computing power of AI and processes neural networks swifter than GPU and CPU computers. These chips are helpful in speeding up the performance of the data center in phones, drones, robots, and automatic vehicles.
The major benefits of AI-enabled computer chips are security, privacy, latency, and reduced power consumption.
AI in Computer Vision
Computer vision, a subset of artificial intelligence that trains the machines to interpret and understand the visual world by identifying the real-life digital images and videos. Computer vision enables the machines to process and analyze images or videos for extracting contextual and meaningful information from the real-life.
AI enables computer vision to perform common tasks such as content organization, facial recognition, augmented reality, object identification, medical diagnosis, etc.
Convergence of AI, ML and IoT
The convergence of AI, ML and IoT will become a powerful tool to bring in efficiency in IoT operations, human-machine interaction, analytics, and data management. AIoT will create wonders in various industries by bringing detailed insights from data at a faster pace.
Industries can reap great benefits with this technology such as enhancing customer satisfaction, predictive maintenance, accuracy rate, operational efficiency, etc.
AI in Personalized Gaming
AI is revolutionizing the gaming industry by personalizing the games with AI-based voice intelligence, 3D visualization, stimulations, and incorporation of augmented reality and virtual reality. These AI techniques are helpful in creating realistic, smarter and intelligent games to enhance the gaming experience for the customers.
Businesses recognize that a strong AI engineering strategy is required to improve the reliability, interpretability and scalability of AI models. To achieve this, it is critical to develop a well-organized AI engineering process by incorporating the elements of DevOps, ModelOps, and DataOps.
After the outbreak of COVID-19 pandemic, organizations are using various automation practices ranging from RPA, IPA and cognitive AI. These technologies will be helpful in handling a high volume of repetitive tasks. Hence, the current working atmosphere will shift into a hybrid work environment in which human employees will start working with AI-enabled systems.
The scope and development of AI in 2021 is diverse based on the requirements of the businesses. By using AI in an ethical way, organizations can enhance the accuracy of forecasts, perform predictive maintenance, and collect real-time data insights. All these artificial intelligence trends offer several possibilities for businesses in future.