Can AI Audits Eliminate Algorithmic Biases? Algorithm bias may develop when AI is used to tackle global problems, resulting in unanticipated, wrong, and damaging outcomes. AI bias is a problem that is becoming more prevalent as software becomes more integrated into our daily lives.

AI can sometimes manifest the same prejudices as humans, and it could be even worse in some circumstances. An aberration in the output of machine learning algorithms could be due…

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Why Contact Centers Of The Future Need Machine Learning The involvement of AI in CRM makes customer grievance handling more streamlined and, above everything else, quicker. Businesses must leverage the technology to make the experience of dealing with contact centers less tedious for already aggrieved customers.

The success of contact centers is measured on the basis of, more or less, two key performance indicators — the average call handling time (AHT) and customer satisfaction ratings. This…

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3 Real-world Real Estate Applications of NFTs NFT use cases in the real estate sector will provide new opportunities to buy, sell, and invest in real-world properties. NFTs are expected to disrupt the real estate space by attracting a wider base of investors, buyers and sellers.

Non-Fungible Tokens or NFTs are all the rage right now in the world of cryptocurrencies. People are spending millions to own digital art pieces that they see as a great…

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Leveraging Computer Vision to Optimize Lead Generation Businesses can use computer vision in marketing to gather crucial data about clients and customers that can help in developing effective marketing campaigns and optimizing lead generation.

AI-powered technologies like computer vision have revolutionized several industry sectors, including healthcare, manufacturing, construction, insurance, and more. AI is now set to disrupt marketing with the help of computer vision….

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The Role of Machine Learning in the Future of Cardiovascular Treatment Doctors and clinicians can use machine learning in healthcare to identify cardiovascular diseases quickly and accurately, enabling faster treatment. Machine learning-powered systems can also predict potential cardiovascular disorders by analysing data about a patient’s heart.

Healthcare experts across the globe have constantly emphasized on the importance of cardiovascular health. According to the World Health Organization, cardiovascular diseases are the leading cause of death globally, with…

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3 Ways In Which Deepfakes Can Be Used Positively The negative applications of deepfakes can be controlled through blockchain and other deep learning-based image forgery detection tools. However, there is more to deepfakes than just negative applications.

Ever since the emergence of deepfakes, they have been normally associated with pranks or cybercrimes. Accordingly, there are several pieces that discuss the ways in which deepfake-related problems can be…

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