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“Updates in Prop. 24, they said, would create, among other things, a system to enforce CCPA and triple fines on companies that violated under-aged children’s privacy.”
making a purchase. The ability to track data the ranges from what color customers are wearing to whether they arrive via car, SUV, or public transportation can help stores make more intel- ligent decisions on how to present themselves in the future.
There are also areas where security and business intelligence combine. To return to the assembly line example, cameras can be trained to observe the various steps in the manufacturing process and understand the actions involved, enabling them to identify mistakes or inefficiencies. This can not only save the business money down the line, but potentially identify manufacturing er- rors before they can become a liability to the company.
It would be a mistake to overlook the value of audio analytics in addition to video. Today’s audio solutions can be programmed to detect certain sounds, such as raised voice, breaking glass or gunshots, that might indicate a security incident, even in total darkness. Audio can also add context: it can sometimes be hard to tell from video alone whether two friends are joking around or are actually about to fight. It isn’t always easy for a machine to make the right call based on audio or video alone, but both together can provide a human with the information they need to
decide what is actually happening. Audio solutions are also an important option to have in settings where a camera would be inappropriate, such as a school bathroom or other private area.
THE FUTURE OF AI IS BRIGHT—
BUT IT’S IMPORTANT TO BE REALISTIC
Artificial intelligence and its subsets, machine learning and deep learning, have enabled the creation of more powerful analytics than ever, and the ability to train this technology in non-critical environments has been essential for the technology’s continued development. What’s more, the development of advanced chip- sets and more powerful processing units has made processing and analyzing data at the network edge both actionable and efficient. These deep learning processing units will also help to propel the development of more sophisticated and accurate algorithms.
But it’s important to remember that while AI is excellent at sim- ple, repeatable functions, humans are significantly better at inter- preting that data and deciding how to respond. For this reason, it can be best to think of AI not as artificial intelligence, but as “aug- mented” intelligence, providing valuable new information to help human beings make better, more informed decisions. As AI contin- ues to evolve, so will its uses—but understand-
ing the technology’s current uses and limitations
will ultimately help businesses get the most out
of today’s artificial intelligence solutions.
Alex Walthers is the business development manager, Technology Partners, Axis Communications Inc.
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