With classic rock tunes playing, Adam Selipsky took the stage for his first re:Invent keynote as the new CEO of AWS, the $60-billion cloud juggernaut that was founded just 15 years ago. This was the first re:Invent without Andy Jassy, the charismatic leader who creatively used rock lyrics to tell product stories at past shows. The rock was still there, and product announcements abounded, but it's clear Selipsky is charting his own path forward as the head of AWS. Selipsky was one of Jassy's top lieutenants before he left five years ago to head up another Seattle, Washington-area mainstay in the big data world, Tableau Software, so he's very familiar with the company he's now charged with growing. From his perspective, the growth of cloud computing over the years has been astounding.

It is the most, exciting and wonderful time of the year. The time AWS gives the customers what they want by launching new tools and services to change the course and destiny of Cloud Computing. AWS is always a pioneer in innovation in the Cloud space. Adam Selipsky was the new CEO of AWS after Andy Jassy was announced as the new CEO and President of Amazon.com I shall be giving a brief summary of some of the announcements made by Adam during his keynote at re:Invent.

By Howard Solomon A new report highlights a growing fear among Canadians that's tied to the rapid advancement of artificial intelligence. An online study conducted by Environics Research Group revealed that 77 per cent of Canadians are concerned that AI is advancing too quickly to properly understand its potential risks. The survey of 1,200 Canadians was sponsored by TD Bank back in May, and also indicated a growing concern around biases in how the technology is developed. Additionally, sixty per cent of Canadians worry about a lack of diversity in the growing field of AI. The results don't shock Tomi Poutanen, chief AI officer for TD and co-founder of Layer 6, but he said they do signal a growing awareness of AI's transformative capabilities, and people are looking to banks to validate its adoption.

When working with Machine Learning, one can quickly be overwhelmed with technicalities and lose track of the original purpose: how can we use past data to answer future business questions? This begs the question: is this really a game we want to play? Or could Machine Learning become transparent and just do its thing automatically? As it turns out, a number of AWS services provide built-in Machine Learning features that require exactly zero work to use. Let's review all of them and see how much of a free ride we can enjoy.