Summary: AML has been around since at least 2016 but only in the last year have Gartner and Forrester begun to offer their opinions. Here’s where we stand.
Added by William Vorhies on November 18, 2019 at 12:00pm — No Comments
Summary: Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon. If you have an environment as fast changing as e-retail and a huge number of models matching buyers and products you could achieve real cost savings and revenue increases by making the refresh cycle faster and more accurate with automation. This capability likely will be coming soon to your favorite AML platform.
Added by William Vorhies on October 7, 2019 at 7:28am — No Comments
Summary: As the Automated Machine Learning (AML) movement got underway a few years back there was an early branch between proprietary platforms and open source platforms. In this article we’ll update you on leading open source AML tools. Since they continue to require fluency in Python or R we label them “professional”.
Added by William Vorhies on August 5, 2019 at 7:11am — No Comments
Summary: Are you wondering about moving up to Automated Machine Learning (AML)? Here are some considerations to help guide you.
Are you wondering about moving up to Automated Machine…Continue
Added by William Vorhies on July 15, 2019 at 7:30am — No Comments
Summary: Forrester has just released its “New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019” report on leading stand-alone automated machine learning platforms. This is our first good side-by-side comparison. You might also want to consider some who were not included.
Summary: Automated Machine Learning has only been around for a little over two years and already there are over 20 providers in this space. However, a new European AML platform called Tazi, new in the US, is showing what the next generation of AML will look like.
Added by William Vorhies on April 3, 2018 at 7:30am — No Comments
Summary: Deep changes are underway in how data science is practiced and successfully deployed to solve business problems and create strategic advantage. These same changes point to major changes in how data scientists will do their work. Here’s why and how.
Summary: Here are our 6 predictions for data science, machine learning, and AI for 2018. Some are fast track and potentially disruptive, some take the hype off over blown claims and set realistic expectations for the coming year.
Summary: Recently we’ve been profiling Automated Machine Learning (AML) platforms, both of the professional variety, and particularly those proprietary one-click-to-model variety that are being pitched to untrained analysts and line-of-business managers. Since our first article, readers have suggested some additional companies we should look at which are profiled here along with some interesting observations about who is buying and why.
Summary: There are a variety of new Automated Machine Learning (AML) platforms emerging that led us recently to ask if we’d be automated and unemployed any time soon. In this article we’ll cover the “Professional AML tools”. They require that you be fluent in R or Python which means that Citizen Data Scientists won’t be using them. They also significantly enhance productivity and reduce the redundant and tedious work that’s part of model…Continue
Added by William Vorhies on July 25, 2017 at 1:30pm — No Comments