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Top AI Trends to Watch in 2021

Due to their peculiar ability to amaze, captivate, and intimidate at the same time, artificial intelligence (AI) and machine learning (ML) are technologies that should be on everyoneu2019s radar in 2021. More than 70% of devices we use in our day-to-day lives use AI-related technologies in some way or another. As the bedrock of the era of automation, connected mobility, and Industry 4.0, AI has been propelling numerous fields, including analytics, agriculture, logistics, construction, robotics, and aerospace. With the global artificial intelligence market anticipated to reach USD 190.61 billion by 20251, it will be exciting to see what 2021 holds for AI and ML.<br><br>Major AI Trends for 2021

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Top AI Trends to Watch in 2021

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  1. Compunnel Digital Major AI Trends for 2021 1 Visual data has exploded in volumes and this will unleash a new era of computer vision driven by AI. The increased complexity of artificial neural networks (ANNs), besides the availability of AI-powered chips, drive an exceptional enterprise interest in computer vision. Expected to reach an estimated market size of $28bn by 20302, computer vision applications are effective at monitoring public spaces through data sensors and cameras. In the post-COVID-19 world, these applications can effectively track social distancing. Computer Vision 2 Coupled with computational power, predictive analytics allows businesses to detect their potential customers or expected responses by employing personalized data gathered over time. AI algorithms are increasingly integrating the ability to detect these key emotions and provide insights that make prospecting quite effective for potential buyers. For instance, you have access to sales data on thousands of customers and the varied items they have bought. Predictive Analytics 3 A host of programmed robots replacing workers at the assembly line has emerged to be the most repetitive and powerful image when thinking of artificial intelligence. Most companies are trying their hands at robots for varied purposes. In today’s times, robots will even begin to take on semi-skilled and skilled work, including creating reports, filling forms, giving instructions, and making animations. Robotization will thus lead to complete automation, training machines to do the required task. Robotization 4 Ubiquity Data Access Enabling Data is adding to the versatility of artificial intelligence. Data access enabling ubiquity has been one of the latest AI innovations in 2020. Accurate and reliable information enables businesses to shift to AI-powered automated decision making, leading to reduced operational costs, streamlined processes, and improved research capabilities. With AI becoming more complex, it will lead to widespread and cost-effective availability of crucial data. 5 AI-based cybersecurity systems can offer the latest knowledge of industry-specific and global threats to enable you to make critical prioritization decisions. These decisions are not only based on what could be used to attack your enterprise but what is likely to be used to attack your enterprise. Derived from AI analysis, prescriptive insights can help you configure and enhance controls as well as processes to improve your organization’s cyber resilience in the most effective way. AI in Cybersecurity Compunnel Digital ©2020 Compunnel Digital, All rights reserved

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