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{"id":2827,"date":"2021-01-18T11:46:36","date_gmt":"2021-01-18T11:46:36","guid":{"rendered":"https:\/\/dailyonoff.com\/?p=2827"},"modified":"2022-05-26T12:09:12","modified_gmt":"2022-05-26T12:09:12","slug":"top-artificial-intelligence-ai-trends-in-2021","status":"publish","type":"post","link":"https:\/\/dailyonoff.com\/top-artificial-intelligence-ai-trends-in-2021\/","title":{"rendered":"Top Artificial Intelligence (AI) Trends in 2021"},"content":{"rendered":"

Top Artificial Intelligence (AI) Trends in 2021<\/strong><\/p>\n

Though digital business transformation has been on the top of mind for business leaders across the globe for some time now, we saw years of application innovation in a couple of months, due to the pandemic hitting the world in 2020. This, of course, will not stop in a few areas, like that of artificial intelligence (AI). The growth of AI is happening at an accelerated pace on both chip and software levels. Big chipmakers are quickly developing AI into their systems, resulting in its greater democratization. This implies software developers applying AI to data and applications with cloud services providers<\/strong><\/a> embedding and expanding their intelligence offerings for hybrid as well as public cloud deployments.<\/p>\n

Right from chatbots to advanced driver assistance systems (ADAS), artificial intelligence (AI) will continue to see faster acceleration than before in 2021 and future. Let\u2019s take a look at the top trends in artificial intelligence for 2021.<\/p>\n

Read more: Artificial Intelligence Certification in Paris<\/a><\/p>\n

1 Hyper automation<\/strong><\/h2>\n

The coronavirus pandemic has and will continue to stress the power of automation. Businesses have been turning to Robotic Process Automation (RPA) and Intelligent Process Automation (IPA) to free up employees engage in more complex tasks and this won\u2019t slow down in 2021. Enriched by artificial intelligence and machine learning (ML), RPA is the core enabling technology behind hyper-automation. As tools like RPA, AI, and ML work harmoniously to automate complex business processes, hyper-automation emerges to be a way for real digital business transformation. The best thing about hyper-automation will be to create an intelligent digital workforce that is ready to take on repetitive jobs to increase employee performance.<\/p>\n

Microsoft has been playing an instrumental role in Hyper automation with its fast-growing Power Automate offering. The crux is that companies today realize the power of matching traditional process automation with AI. Doing so is crucial to deliver greater accuracy and efficiency of enterprise automation efforts.<\/p>\n

2 Cybersecurity and AIOps<\/strong><\/h2>\n

As we head into 2021, we will be witnessing AI used specifically for automated resolution of IT issues and preventative cybersecurity through AIOps. These benefits carry much significance in a time when most of the employees are working from home, frequently on unsecured devices. The promise of AIOps is convincing. It brings about a radical improvement in the precision and speed at which IT problems are identified, diagnosed, and resolved, leading to quite shorter and fewer outages, when it comes to digital services and critical apps.<\/p>\n

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Besides, AIOps will boost uptime and reliability of IT systems, bridging the gap between security and IT operations. As developers apply machine learning and artificial intelligence algorithms to monitoring and observability data, AIOps monitors and manages testing, security, and performance. In a way, it becomes a crucial aspect of the DevOps toolchain. Integrated tools and DevOps engineers can also access real-time feedback through automation.<\/p>\n

3 AI +IoT = AIoT<\/strong><\/h2>\n

2021 will see a seamless conflux between artificial intelligence and the Internet of Things (IoT). As AI has the power to quickly provide actionable insights and due to the prevalence of sensors, it will lay a strong foundation for IoT<\/strong> in the future. IT systems will become faster in acting on the data monitored through AIoT. Data will be gathered and applied uniquely to deliver better sustainability, greater security, real-time offer optimization, and enhanced digital customer experience. Remember AI-enabled IoT creates intelligent machines, simulating smart behavior, and supporting decision-making with no or very little human interference. AI applications for IoT enable enterprises to prevent unplanned downtime, come up with new products and services, increase risk management, and improve operational efficiency.<\/p>\n

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