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Can those memories serve to enhance retention of learnings and help-built connections or patterns we could not do in a conscious state? What is also intriguing is the work being done in projects like "Deep Dream" which uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like hallucinogenic appearance in the deliberately over-processed images. We may indeed be in the cusp of the "next big thing". But this is not new, AI pretty much has been at the forefront of all major conversations pertaining to technology over the past few years. From self-driving cars to intuitive virtual assistants, AI has been turning every science-fiction trope into reality.


Machine Learning Recruitment: What You need to Know - WiseStep

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Machine learning is the subset of Artificial Intelligence or AI that has become the newest applied technology in most of the industries. With its ability to optimize and automate the hiring process, all sectors are welcoming it with open hands, including the recruitment sector. In fact, for the recruitment sector, machine learning technology has come out as a miraculous solution. The AI-powered tools and methodologies have made it easier to target the right people and find the best candidates for an opening. Additionally, machine learning methodologies can help screen hundreds and thousands of resumes in just a few minutes. But is machine learning only lucrative or does it have some negatives too? In this post, we will dig deeper into the functionalities and mechanics of machine learning in recruitment.


Planning to quit? Your company may already know it - Times of India

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Startups are using artificial intelligence to change and simplify the way companies screen, hire and manage employees, even predicting the likelihood of their leaving CHENNAI: Filling forms for leave, reimbursements and annual appraisals are among the more tedious chores at work. Instead, some companies are experimenting with chatbots and games to get employees through these essential tasks. Technology -- more specifically, artificial intelligence -- is changing and simplifying the way companies screen, hire and manage employees. From identification of potential candidates based on social activity to automation of recruitment to personalised on-boarding and career mapping, AI has the potential to transform human resource functions, says Rajiv Jayaraman, co-founder, Knolskape, an HR tech startup. Hyderabad-based Darwinbox, founded in 2015 by Chaitanya Peddi, Jayant Paleti and Rohit Chennamaneni, applies AI to match and rank CVs based on the role as well as predict attrition rates.


AI in HR: Managing the digital workforce - ITP.net

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There are two competing forces impacting the world of HR. On one hand, the rate of social and business change is accelerating, resulting in an ever more complex socioeconomic environment. On the other, employees are pushing for even simpler, more engaging and human-like interactions. To strike this balance, leading HR practitioners are starting to leverage emerging technologies such as artificial intelligence (AI), machine learning and chatbots to support rapid business changes. Businesses have long recognised the importance of delivering a memorable experience for customers.


The Impact of AI in Human Resource Decision-Making Processes

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AI has the capacity to make decisions in real-time, based on pre-installed algorithms and efficient computing technologies. With an HR department encompassing the human element and AI, companies can provide an enhanced experience for their candidates and employees, writes Khalid Durrani, Digital Marketing Manager, Cubix. "Deep-learning will transform every single industry," said Andrew Ng, a Chinese-American scientist excelling in machine learning and AI. McKinsey's forecast on machine learning backs up his statement claiming that by 2030, AI will have a significant impact of $13 trillion on the global economy. HR professionals understand the importance of optimizing the combination of the human mind and machine learning for a seamless workflow and intuitive work environment.