At least 75 out of 176 countries globally are actively using AI technologies for surveillance purposes
less than 1% of organizations had language stating which types of third parties could access user data; only 2% of organizations had explicit language about data retention; only 32% of organizations had “readable” statements based on OTA standards
companies investing in AI report achieving on average 15% productivity improvements for the projects they are undertaking
U.S. AI and machine learning startups raised $6.62 billion so far in 2019, and international startups raised $6.79 in the same period. The global total for all of 2018 was $19.5 billion
“In the US, the government is planning to deploy face recognition at 20 airports by 2021.
In June 2018, the suspect in the shooting at a local newspaper in Annapolis, Maryland, was identified using facial recognition technology. 55% of Americans indeed approve the use of facial recognition for public safety.
Last year, the police of New Delhi has been able to find 3,000 missing children in just four days thanks to a new facial recognition system.
In China, the police has been partnering with SenseNets, a company developing a facial recognition software, to bring charges against people involved in illegal gatherings in the province of Guangdong.
Last year, Amazon’s facial recognition systems falsely matched 28 members of Congress to criminal mugshots.”
“But AI is changing all of this, and adding tools which make the arsenal owned by e-commerce companies look archaic. Many malls in India and abroad are already adopting AI services which allow them to learn who the customer actually is.
The cameras installed in the malls are performing face recognition, and matching it back to the available database, where very rich and contextual information is stored about the customers.
Companies like Inkers are providing advanced retail analytics to offline retain chains which can tell retailers whether the customer walking in is a high-value customer or not, or whether he/she is walking in with the family, or the kind of stores visited prior to visiting their store, or even whether they came in a luxury car or simply walked in.
AI is bringing a new battlefield for the e-commerce players and AI analytics are helping offline retailers fight back.