AI News, Blog — Agile artificial intelligence

How Artificial Intelligence is revolutionising Enterprise Content Management

Artificial intelligence in enterprise content management holds the key to dealing with the oncoming data explosion. Here's a quick vide on how AI is transforming ...

From Tic Tac Toe to AlphaGo: Playing games with AI and machine learning by Roy van Rijn

Google's AlphaGo is an extraordinary breakthrough for Artificial Intelligence. The game of 19x19 Go has 1.74×10^172 unique positions and is about a 'googol' ...

AI for Good Panel - Autonomous World | SXSW 2017

Erick Tai from Reflektive on AI in HR

Reflektive Moment: Erick Tai, cofounder and Head of Engineering at Reflektive, and Erick Mott discuss artificial intelligence in human resources to empower ...

How Ocado Leveraged AI on Google Cloud to Transform their Retail Platform (Cloud Next '18)

AI is enabling retailers to reinvent their business and deliver compelling new experiences for their customers. Learn how Ocado is partnering with Google Cloud ...

#BIOAI2017 Edward Perello, Desktop Genetics: DeskGen AI for CRISPR Genome Editing

If you are interested to hear more about the advancements of Artificial Intelligence in Bioscience, join Special Interest Group on Artificial Intelligence in ...

Kaggle Competition No.1 Solution: Predicting Consumer Credit Default

Contributed by Bernard Ong, Jielei Emma Zhu, Miaozhi Trinity Yu, Nanda Trichy Rajarathinam. They enrolled in the NYC Data Science Academy 12-Week Full ...

Soon, There Will Be No Need For Programmers (Software Development)

What Programming Language Should Programmers Learn In 2019? What Programming Language ..

Predicting future stock prices with F# and Azure Machine Learning

F# is a great complement for C#. Especially in today's microservices World. Currently F# is used in many financial applications. Let's see how we can predict ...

AI with Azure Machine Learning services: Simplifying the data science process - BRK2304

The process of developing machine learning models for production involves many steps. The data scientist must decide on a model architecture and ...