Artificial intelligence (AI) is a key trend in the recruitment industry and rightly so. Recruitment workflow consists of dozens of steps, approval stages and complexities that – even with the
The conversation is past the point of whether or not artificial intelligence (AI) is impacting or is going to impact our everyday lives. That said, today the discussion still oftentimes
In the mainstream media artificial intelligence (AI) is often viewed as a mythical phenomenon that will solve future problems and that is permitting new companies to replace whatever firms existed
Clean water is one of the cornerstones of our living, and therefore we need to always thrive for the best and highest quality water. Data-driven water management is now meeting
Artificial intelligence or AI is helping us humans in many ways we do business or work together with machines. Ironic or not, one area where companies are already leveraging AI
“With great power comes great responsibility” AI-driven analytics for research or clinical practice Among other fields already being affected, AI also strives to revolutionise the medical sector and healthcare. The
This post is the intro to a series on AI for Good in financial services. At Silo.AI we are always looking for opportunities to combine our financial AI
Privacy is a big challenge when dealing with vast amounts of data, which is the basis of artificial intelligence. People whose data is being collected, treated and analysed are often
When an industry becomes more competitive, job applicants need to possess additional skills that help them to start smoothly at work and to be distinguished from candidates with similar qualifications
From text-based news, we extract company and network-level signals that show when companies are at higher probability of stock price decline. Using the described methodology, we were able to show that companies which reached the maximum risk value in our risk model, during any given quarter is up to 13 percentage points more likely to have stock price decline one month later than the average company.
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