Artificial intelligence has disrupted almost every industry. It has been the main driver of revolutionary innovations, such as – robotics, big data, and the Internet of Things. Since the world has been affected by the Covid-19 pandemic, AI has become the key factor for organizations to overcome the effects of the pandemic. A recent report revealed that more than 50% of organizations adopted an AI crisis response after Covid-19, and this is just the beginning – there is much more to come. AI technological trends, innovations, and their adoption are expected to only increase in popularity in 2021 and in the coming years.
Hyper Automation
The Covid-19 pandemic revealed the value of AI in helping businesses manage their operations even during the global crisis. The pandemic underscored the fact that & nbsp; Artificial intelligence is the future of work. In 2021, we will see more sophisticated applications of AI and machine learning making business processes smoother across various industries. The combination of robotic process automation with artificial intelligence will trigger the next wave of digital transformation. Advanced technologies, such as – artificial intelligence, NLP, machine learning, and process mining, will be used to enhance worker efficiency and automate processes.
Augmented Analytics
Augmented analytics combines the power of AI and ML technologies to help organizations prepare data and generate valuable insights for their businesses. As organizations pivot towards optimizing their workflows, more businesses are expected to enhance their business intelligence by combining AI with machine learning.
Artificial Intelligence of Things (AIOT)
When AI is combined with the Internet of Things (IoT), it is called the artificial intelligence of things. This technology allows Internet-connected devices to learn from the data they collect. For example, Smart Office Technology will be able to detect the number of employees present in the office, and it will also be able to make decisions regarding energy consumption in the office so that energy usage can be optimized.
No-Code Artificial Intelligence
With the help of no-code AI, management and operational teams will be empowered with advanced analytical capabilities without requiring specialized data science skills. Since no specialized data science skills are required for no-code AI, this will lower the entry barriers for businesses and individuals to start experimenting with AI and machine learning.
Smart Manufacturing Using AI
Several major supply chains have been severely disrupted due to Covid-19. As the world prepares to get back on track in 2021, it is urgent to develop more resilience and transform operations using advanced technologies. By combining AI, machine learning, IoT, and real-time analytics, manufacturing processes can become more efficient, agile, and resilient. With the help of IoT, data can be collected and then analyzed using real-time analytics to find hidden patterns and uncover insights. Manufacturers can use stream analytics to predict supply chain disruptions and prevent unexpected downtime. Smart sensors and real-time quality monitoring systems can significantly reduce product recalls. Additionally, powerful insights derived from AI-Augmented data mining and analytics capabilities would lead to more advancements and breakthroughs, enabling manufacturers to produce faster and better without compromising on safety standards and quality.
AI-Compatible Chips to Enhance Performance
AI requires more processing power than non-AI functions, creating increased demand for more powerful hardware. Therefore, the creation of AI-compatible chips will be a major trend in 2021. By 2025, AI-compatible chips are expected to reach a revenue of 91,185 million USD. The increased adoption of AI-compatible chips means that future AI applications will be smoother and faster than ever.
Collaborative Interactions with AI
More and more businesses will combine AI with robotic process automation to handle high-volume repetitive tasks. The workplace will shift towards a hybrid workforce environment, where AI-powered digital colleagues will operate alongside and assist their human counterparts. For example, suppose a customer service representative does not know the answer to a very technical inquiry. In that case, he/she can obtain quick and accurate answers using AI, enhancing customer service speed and thus customer satisfaction.
Conclusion
Without a doubt, the integration of artificial intelligence across businesses and industries is a revolution in itself, which will continue to grow in 2021 and beyond and transform the world as we know it.
