Is Your AI Model Still Accurate After the Coronavirus Pandemic?
A way to prevent a disconnect between the model and the business is through explainable AI, which can address the reasoning behind why AI decisions are
A way to prevent a disconnect between the model and the business is through explainable AI, which can address the reasoning behind why AI decisions are
Zoldi makes the case that Responsible AI can address concerns about model accuracy, ensure appropriate uses, remove doubt about assumptions, and overall …
Considering the increasing consequences of faulty AI, explainable AI is going to be a critical issue facing data science for many
Rather than an endless string of traditional webinars, the virtual ODSC East conference (like other virtual conferences) put the attendee in a normal …
Google and Alphabet CEO Sundar Pichai has called for global regulation on artificial intelligence, admitting the company cannot do it
Organizations must determine precisely which types of processes will benefit most from an injection of machine and deep learning
To bridge the gap between the data we're collecting and the way organizations interface with it, we need to address some uncomfortable
Here is a quick overview of the major real-time analytics developments and innovations that got our readers’ attention over the last year.
Perhaps the underlying reason AI, CI, and other technologies will be disruptive factors in 2020 is digital transformation.
Google Explainable AI is a new set of tools and resources to help developers better understand model behavior and detect and resolve bias, drift, and other …