During the COVID–19 pandemic, I decided that I wanted to use the time at home to invest in myself. One of the things I was challenged by in a recent episode of Business Casual was when Mark Cuban discussed the role of Artificial Intelligence in the future and recommended some tools to learn more. He mentioned some Coursera courses, so I am currently working my way through some of their AI training, but he also mentioned an AI-focused podcast called the TWIML AI Podcast that I added to my podcast subscription list. TWIML (This Week in Machine Learning and AI) is a perfect way to hear from industry experts about how Machine Learning and AI will change our world. I plan to work through the back catalog soon, but the newest episodes have been informative.
A few weeks ago I had the opportunity to spend some time at the Strata Data Conference, presented by O'Reilly and Cloudera, in New York. While on site, I was able to meet with some of the speakers from the conference. In this series, you'll hear a few of those great conversations. Cloudera's modern platform for machine learning and analytics, optimized for the cloud, lets you build and deploy AI solutions at scale, efficiently and securely, anywhere you want. In addition, Cloudera Fast Forward Lab's expert guidance helps you realize your AI future, faster.
This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that's interesting and important in the world of machine learning and AI.Technolo ...
Today I spoke at the WSJDLive global technology conference about cognitive and artificial intelligence (AI) technology, two nascent areas that I believe will be transformative to the industry and world. These systems also offer tremendous market opportunity and are on a trajectory to reach $46 billion in industry revenue by 20201.
For today's show, the last in our TrainAI series, I'm joined by Qazaleh Mirsharif, a machine learning scientist working on computer vision at Figure Eight. Qazaleh and I caught up at the TrainAI conference to discuss a couple of the projects she's worked on in that field, namely her research into the classification of retinal images and her work on parking sign detection from Google Street View images. The former, which attempted to diagnose diseases like diabetic retinopathy using retinal scan images, is similar to the work I spoke with Ryan Poplin about on TWiML Talk #122. In my conversation with Qazaleh we focus on how she built her datasets for each of these projects and some of the key lessons she's learned along the way. A few weeks ago, at the TWiML AI Summit, I spoke with a listener who shared some interesting ways that his business, a world-leading energy company, has directly benefited from what he's learned on the podcast.