Panel Discussion – Deep Learning: Where do we go from here?
Last Tuesday, our founder & CEO Pedro Alves was invited to speak at a panel “Deep Learning: Where Do We Go From Here?” led by Adam Vogel from SignalFire. Pedro discussed the current state, limitations, and future of Deep Learning with other panelists Tom Annau, Walid Saba, and Erin Ledell in front of industry professionalsRead More
Lessons from AI & Big Data Expo North America 2018
Last week, the Ople team exhibited at AI & Big Data Conference & Expo North America 2018. As I mentioned in our previous event post “Plug and Play Fall Summit 2018 Recap,” we have been listening to our customers, and the team has been working hard to bring AI transparency, including model explainability, to the OpleRead More
Model Explainability in an Unregulated World
In my last blog on the topic of transparent AI, I wrote about the necessity of transparency in heavily regulated industries. This post is about the importance and value that model transparency has in less/unregulated industries. Industries that fit this description include retail, digital advertising, manufacturing to name a few. There are various reasons whyRead More
Model Explainability in a Regulated World
Today’s Artificial Intelligence, called “the new electricity”, under-delivers and underwhelms. The commonly acknowledged issues that reverberate are: “Not enough talent,” “Too expensive,” “Too hard,” and “Just not there yet.” Even if an AI company were to solve all of the complexity issues, however, other significant factors still largely deter the benefits of AI. One such major issue isRead More