Fredrik Nilsson is Vice President of the Americas for Axis Communications, overseeing the company’s operations in North and South America. Read Fredrik Nilsson's full executive profile here.
Everyone wants in on the AI gold rush, and security providers are no exception—but potential partners and customers don’t always have a thorough grasp of the technology or its real-world applications.
For many businesses, analyzing sales data, customer traffic, quality in production and other information can lead to insights that positively impact the bottom line. The rise of generative AI solutions has even made it easier for businesses to streamline repetitive tasks like drafting emails, responding to customer support queries and more.
As a result, it’s a good idea to be proactive rather than reactive, building privacy features into products from the beginning rather than waiting for regulators to provide instructions. These are questions that need to be answered before incorporating data into an AI training model. You can’t un-bake the AI cake: Once an AI solution has been trained on tainted data, it cannot be"untrained." Organizations should use their own carefully vetted data sets to train AI models rather than turning to third-party data. Using data you control is the only reliable way to address ethical concerns..
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