According to Google Trends, only 5 percent of the U.S. population searched for information about artificial intelligence in 2012. In 2017, that figure has jumped to an estimated 60 percent. Unlike some other fads that have swept through the tech industry, however, the hype around AI is justified for a number of reasons. AI development will continue to exponentially infiltrate our day-to-day lives.
Artificial intelligence has captured public imagination, dominated media coverage, and driven furious volumes of investment and acquisition activity. In the midst of this hype cycle, spotting the difference between phony wannabes and true investments can be a challenge.
VentureBeat interviewed seasoned VCs from top firms like CRV, IA Ventures, Two Sigma, and more to find how these successful investors evaluate artificial intelligence startups. If you’re a founder thinking of starting an artificial intelligence company, be sure to have solid answers for all of these key questions.
When we read an article talking about AI, machine learning, or deep learning, and there’s no demonstration or sample code in the article, the obvious question to pose is whether the person is actually doing the work, practicing what they’re talking about.
The quickest way to differentiate theory from application is to ask about how any given technology is currently used in production.
AI is being name-checked during corporate earnings call at lot these days. Some say the enthusiastic chatter outpaces technical reality.
A comparison of AI with previous technological breakthroughs