Take a look at how governments and enterprises are developing an ethical framework to ensure that AI continues to lead to the best decisions, without unintended consequences or misuse of data and analytics.
Take a look at how AI is revolutionizing the future for the following industries: Agriculture, Photography and Design, Healthcare, and Construction and City Planning.
Learn how a software engineer transitioned into machine learning through a data science bootcamp.
Take a look at the strategy Metis uses to build a team of data scientists.
Check out what is in store for data science in 2019. This article isn’t about new fads and concepts, but rather, dark horses – the trends that no one has thought about but will completely disrupt the working IT environment (for both good and bad – depends upon which side of the disruption you are on), in a significant manner.
Check out a project that is part of a widespread effort to build and deploy systems that can automatically detect signs of illness and disease in medical scans. In India, AI is being tested to detect the early stages of diabetic retinopathy, where nearly 70 million people are diabetic and at risk of blindness.
Tech Crunch’s Greg Epstein interviews James Williams on how AI grabs and holds your attention.
See the evolution of DeepMind, a company founded by Demis Hassabis, and later acquired by Google, and how its developing AI.
Using Taxify as an example, this article discusses the skills needed as a data scientist in addition to your technical background.
Check out the 17 top data science and machine learning platforms according to the latest Gartner Magic Quadrant report.