The New Zealand government kicked off a pilot program 18 months ago that uses data collected through the country's visa application process to determine firstly those in breach of their visa conditions before deciding who should be asked to leave. Speaking on Radio New Zealand this week, Immigration Minister Iain Lees-Galloway explained that the process seeks people that are "over-stayers" or are in the country unlawfully due to breaching visa conditions, rather than filtering people based on their age, gender, and ethnicity. Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of them. "This is not about trying to predict who will commit a crime, this is about looking at the over 11,000 people who are in New Zealand unlawfully and prioritising where best to use Immigration New Zealand's resources to make sure that they are deporting the people who impose the greatest risk to New Zealand," the minister said.
Since 9/11, border patrol agencies around the world have focused on improving their abilities to quickly assess threats from passengers and cargo entering the country. Based on its work with several countries on border protection, Unisys developed the LineSight software, which uses advanced analytics that assesses risk in near real time. Rather than relying solely on pattern recognition based on historical data, LineSight assesses risk from the initial intent to travel and refines that assessment as current information becomes available -- beginning with a traveler's visa application, reservation, ticket purchase, seat selection, check-in and arrival, the company said. The software provides similar risk assessments for cargo shipments based on manifest forms, customs declaration or airline bills. "It became clear more recently that statistical methods and analytical tools would be a better approach than trying to consolidate watch lists to find patterns."
If Trump is the top topic of conversation in Davos this year, artificial intelligence is a close second. There are literally dozens of panels on the topic scattered around this snow-buried village, as my colleague Adam Lashinsky reported yesterday. There seems to be no-one here who questions the notion that vast amounts of data combined with powerful machine-learning algorithms will not only transform almost every business, but also the way we live.
Artificial Intelligence (AI) is already fundamentally changing information technology and stands poised to permeate and transform technology both online and off ranging from manufacturing and transportation to medicine and military applications. The US, Russia and China have all noted that dominance in this field of technology will be an essential ingredient to holding global primacy in the near future.
"As if the debate over immigration and guest worker programs wasn't complicated enough, now a couple of robots are rolling into the middle of it. Vision Robotics, a San Diego company, is working on a pair of robots that would trundle through orchards plucking oranges, apples or other fruit from the trees. In a few years, troops of these machines could perform the tedious and labor-intensive task of fruit picking that currently employs thousands of migrant workers each season. The robotic work has been funded entirely by agricultural associations, and pushed forward by the uncertainty surrounding the migrant labor force. Farmers are'very, very nervous about the availability and cost of labor in the near future,' says Vision Robotics CEO Derek Morikawa."