• Blockchain, AI and IoT will converge

Artificial intelligence has been increasingly integrated with other technologies. This can be seen on the linkage between AI and IoT in self-driving cars. While AI models are used to help in decision-making IoT is used to collect real-time data that can help the AI systems make informed decisions. On the other hand, blockchain can aids AI systems to address concerns such as security, trust issues and scalability. Looking at 2021, these technologies are expected to help in areas such as healthcare, transport and logistics and others to ease decision making and management.

• Use of data synthesis methods

AI depends largely on deep learning and machine learning algorithms to enhance different systems and improve on decision-making capabilities. As AI technology keep improving, more pre-trained models developed using deep learning approaches will emerge. The challenge that is expected is the acquisition of data at the right time, managing it, and incorporating them into the existing systems. In 2020, artificial intelligence systems have been taking advantage of massive data sources to increase its accuracy and effectiveness in training data.

• Rising number of AI-powered devices

This year has already seen an increase in the number of AI-powered devices. This is expected to double in the coming year as companies and governments increasingly invest in AI initiatives. There is already an increase in the number of devices that enable human interface and automation. These devices will continue increasing opportunities in business which can no longer be ignored. There has been a continued development AI-enabled devices due to the rising interest in automation. As such, there will be increased elimination of time consuming tasks from now going forward. There is a rising number of AI tools ranging from household devices, cell phones, watches and other devices that will increase their presence in the market going forward.

• Healthcare adoption of AI

This year has been tough for healthcare as coronavirus pandemic stretched the industry to the limit. As healthcare look for better ways of enhancing efficiency and improving the delivery of service in general, AI has given the industry hope. There has been an increasing demand for speed that has led to the dependence of real-time data. With such data, there is a potential for real-time diagnosis. For instance, AI-powered tools can help in detection of diseases such as cancer among others. Machine learning applications have enabled better treatment and detection of diseases such as the coronavirus pandemic at their early stages, increasing the chances of saving lives significantly.

• AI is driving real-time consumer interaction

As we move towards 2021, more marketing activities are on top gear as businesses look to start the year on the right foot. With big data analytics and artificial intelligence through machine learning, organization are managing real-time customer concerns and interactions across different channels. Companies have employed AI tools to enhance their customer retention capabilities, some of which have been a challenge when using traditional methods. Apart from its ability to enhance customer interactions, AI is also aiding marketers to correctly target new audiences on different platforms such as social media and others.