AI is an exciting technology that has the potential to up-end how people get answers to their questions. But there's a risk that AI will fail on diversity, equity and inclusion standards. Who will be the AI Lifeguard to manage those risks? What information will they need?
AI is taking the world by storm. When AI makes mistakes that impact people's lives, who will be accountable?
For AI-powered products to be truly successful, they need to ensure that they're human-centric, not just human-like. That will create lasting relationships and revenue streams.
How do manufacturers determine which features or fixes to prioritize? And more importantly, how do they integrate consumer data more quickly to make that decision in less time? Less time to make key decisions is what Pulse Labs calls "Research Compression."
...huge benefits are expected to come from autonomous driving, such as reclaiming hours lost to morning commute and the ability to control not just the car’s internal environment, but its' external one, too. So, what can AV engineers do to sway the minds of the nervous consumer?