Take a look at the strategy Metis uses to build a team of data scientists.
Article | “New AI Tool May Help Diagnose Neurodegenerative Diseases”
See how Mount Sinai is developing large-scale image data in neuropathology for building and evaluating deep learning algorithms to diagnose diseases.
Article | “A Guide to Understanding How Deep Learning Works”
Check out this informative guide on deep learning.
Article | “How to Create an Ethical Framework for Artificial Intelligence”
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.
Article | “AI is No Longer a Tech Niche – 4 Industries that will be Revolutionized by AI in 2019”
Take a look at how AI is revolutionizing the future for the following industries: Agriculture, Photography and Design, Healthcare, and Construction and City Planning.
Article | “Google Launches an End-to-End AI Platform”
Google launches AI Platform to offer developers and data scientists an end-to-end service for building, testing and deploying their own models.
Article | “Artificial Intelligence in Medical Robotics – Current Applications and Possibilities”
See how AI software is finding its way into medical robotics and how it’s being used by the healthcare industry.
Article | “Top Trends for Data Science in 2019”
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.
Article | “Artificial Intelligence at Visa – Current Use Cases and Services”
See the current AI projects and initiatives happening at Visa, including Detecting Credit and Debit Card Fraud, Visa ID Intelligence – AI Consulting Services, and Finance and Travel Chatbots.
Article | “This Is Why A.I. Has Yet to Reshape Most Businesses”
See how one of the worlds biggest fragrance makers incorporated AI to suggest new formulations for particular markets. The technology gives them a head start on creating something novel, yet took nearly two years — and it required investments that still will take a while to recoup.