Artificial Intelligence might go back more than 60 years, but it’s never been more buzzworthy. Here, a glimpse of AI’s recent and future traction.
1
The number of AI bots that have been granted citizenship. Saudi Arabia made headlines in 2017 for naturalizing Sophia, a robot infamously quoted as saying “I will destroy all humans.”
34%
The portion of e-commerce shoppers who will spend more money, thanks to effective AI deployment. (PointSource)
1 trillion
The number of retail data points that flow through Adobe Analytics and get crunched by its Sensei AI and machine-learning technology. Its analysis can cover a trillion visits to more than 4,500 retail sites and 55 million sku’s. (Adobe)
54%
Portion of retailers who said they already use or plan to use AI. (SLI Systems)
$7.3 billion
Global spend on artificial intelligence expected by 2022, up more than threefold from the $2 billion projected in 2018. (Juniper Research)
2 million
The number of AI conversations Satisfi Labs facilitated in 2017. (Satisfi Labs)
69%
The portion of consumers “creeped out” by AI, with 61 percent unnerved by facial-recognition tech identifying store shoppers. Notably, younger customers were less concerned than older ones, with 66 percent finding AI-based personalization valuable. (RichRelevance)
$15.2 billion
The amount of equity funding in machine-learning start-ups in 2017, a 141 percent leap from 2016. (CB Insights)
10,000
The number of participants in Digital Transformation Institute’s report, which discovered that 63 percent of AI-aware consumers like the technology because of its round-the-clock availability. (Capgemini)
85%
The portion of customer interactions that artificial intelligence will manage, “without interacting with a human,” by 2020. (Gartner)
2
The number of tech giants busted for “pseudo-AI”: It’s recently come to light that Google and Facebook have used cheap human labor to mimic machines in the past. Development time and complexity made people-powered processes more practical, though it kicked up a privacy controversy about humans reading users’ messages. (Wall Street Journal)