Peeking Inside the Black Box: Techniques for Making AI Models More Easily Interpretable
Considering the increasing consequences of faulty AI, explainable AI is going to be a critical issue facing data science for many
Topic: Reasonable AI
AI Shines at Virtual ODSC East Conference
Rather than an endless string of traditional webinars, the virtual ODSC East conference (like other virtual conferences) put the attendee in a normal …
Google CEO: We Need Global Regulation On AI
Google and Alphabet CEO Sundar Pichai has called for global regulation on artificial intelligence, admitting the company cannot do it
AI Advances in 2020 to Come Slow But Steady
Organizations must determine precisely which types of processes will benefit most from an injection of machine and deep learning
3 Inconvenient Truths about AI and ML
To bridge the gap between the data we're collecting and the way organizations interface with it, we need to address some uncomfortable
Top 10 RTInsights Articles of 2019
Here is a quick overview of the major real-time analytics developments and innovations that got our readers’ attention over the last year.
Continuous Intelligence and AI to Dominate 2020 Analytics
Perhaps the underlying reason AI, CI, and other technologies will be disruptive factors in 2020 is digital transformation.
Not Sure What Your AI Is Doing? Google Will Explain
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 …
AI Redefines the Job Market, Up and Down
A recent report out of Brookings Institution finds, contrary to conventional wisdom, better-paid, better-educated workers face the most potential exposure from …
Not Good at Analytics? Not Ready for AI
Ignoring analytics basics is a route to ruin, warns a veteran Silicon Valley CTO. For more advice on AI success, read on.