Pandemic has shown us a lot of unexpected things! We have seen businesses collapsing, the hospitality and aviation industry crumpling, people losing their job, and a lot more. Despite such a worrisome situation, technology has kept its promises. When several sectors bowed down, Artificial Intelligence strived to keep the technological advancement steady so that sectors that have adopted it can leap out of the devastating downfall.
Comparing the figures with 2019, 2021 witnessed almost two times hike in spending on AI technologies. Interestingly, by the end of 2020, a huge number of enterprises started adopting AI as a fundamental change in innovations. The latest trends will answer what is so cool about AI in 2021?
1. AI in the healthcare industry
Last year the healthcare unit globally witnessed a huge crisis due to the pandemic. Without the adoption of Artificial Intelligence in the healthcare industry, the graph would have been much more destructive! Bernard Marr, the internationally acclaimed business strategy advisor, said that AI has helped in figuring out the spread of the virus worldwide, and thus measures were taken accordingly.
In cancer treatment, the involvement of AI is beyond expectation. Artificial Intelligence has been implemented for the development of a neoantigen vaccine or blood test-based cancer diagnosis. The AI algorithm used for diagnosing breast cancer gives a much accurate and quick report than pathological analysis.
2. Cloud and AI collaboration
In 2021, Artificial Intelligence will be playing a pivotal role in the adoption of cloud-based solutions. Rico Burnett, the Global Director of Innovation at Exigent Group Limited, says that through the collaboration it will become very easy to monitor and assess cloud resources and a huge amount of data available there.
3. Artificial Intelligence in the IT industry
IT industry will be highly influenced with the help of AI technology, leading technology giant Capgemini, predicts. AI will lower down the complexity in projects by its self-detecting and error-handling features, which will eventually lead to a significant impact on the workforce to speed up the work and focus on other niches. The AI and ML models will also enlarge the production scale and get ROI in real-time.
4. AI and cyber-security
The latest trend of Artificial Intelligence has shown promising results in cybercrime, especially AIOps. The technology hinders hackers to perform malicious activities, expose the data and breach the cyber-security. An AI-based cyber-security framework can secure IT asset inventory, making the prediction of infringement and maintaining an effective security stance. On top of all these, AI technologies respond to security warnings, respond to it, figure out the root cause, and tighten the system to evade future concerns.
5. Autonomous e-vehicles
Tesla will face a significant challenge as Chinese company NIO has already introduced their cheaper electric vehicle in the market. The Japanese automobile companies like Toyota and Nissan are in the pipeline to launch their AI technology-driven vehicles having similar features like ‘Autopilot by Tesla’.
6. AI transforming businesses
In the retail sector, education sector, and other diversified business portfolios, AI will be bringing a lot of advancement to boost up the growth of the organizations. Business giants like Amazon, Walmart, Tesco, etc. are using the real-time application of AI for product forecasting, prediction of consumer behaviour, supply chain management, marketing assessment, etc.
7. Conversational AI
Conversational AI or the AI- powered chatbots, also tops the chart of the AI trends in the current year. The Conversational AI is mostly used for enhanced customer experience, reach out to target audience, have improved personalization and responsiveness. It has enabled corporates to have a completely automated customer service.
8. Quantum AI
Quantum AI is in vogue lately, where companies are using quantum supremacy to measure the Qubits for use in supercomputers. Quantum AI helps in pacing up the problem-solving techniques compared to the basic computers and will also help in predicting unique trends and interpret data much faster.
9. Edge Computing
Edge computing provides gadgets with servers and data storage facilities. They are able to access devices and feed data into them. It can be defined as data processing in real-time which is faster than any cloud-computing service. It has a lower cost, saves time and provides faster service to the customers.
10. Confluence of AI and IoT
Amalgamation of IoT and AI is seeing an upsurge. Both technologies, in spite of having completely different traits and characteristics are often seen to yield impressive results when used together. They open up better prospects and possibilities together. Alexa and Siri, our intelligent voice assistants have already displayed how effective the confluence of these two technologies can be.
Needless to say, AI with IoT will be a game-changer within a few years and a solution for 80% of businesses all over the world. There are hundreds of other AI trends buzzing around us, wondering how to integrate it for NLP, reinforcement learning, quantum AI and so on.
