It’s cutting-edge now, but soon a data fabric will be an essential tool. Here’s how it will transform data architecture and create a new competitive advantage.
A problem from econometrics illustrates the difference between artificial and human intelligence. Understanding tacit knowledge and the limits of AI is crucial to deploying it effectively and fairly.
By leveraging natural language processing, augmented analytics could revolutionize the way data science teams — and non-specialist business users — get the information their firms need.
Hiring demand for experts in artificial intelligence, machine learning, and deep learning is high, and will only get higher in coming years. Here’s how to make sure you get the best of the best.
When it comes to automation, people often adopt an us-versus-them mindset. We need to change that attitude if we want to unlock the potential of both our human and robotic workforce.
