![]() Yeah, I guess there's two points I would make Simon. Hugh can you give us some examples of where you see AI working really well, at the moment? Burgin And so we're always monitoring the models, how they perform and continually evolving. And so it's about thinking, how does AI perform at a level that is as good as the human? And that does include some errors. If you think about human parity, AI also makes mistakes. Well, you know, this is a big debate for questions on what human parity means. Are they actually as good as humans? Solar And then over the recent years, there have been some breakthroughs where these models have become so specialised that and so powerful that they've been reaching human parity in areas such as object recognition, or reading comprehension, language understanding, and you can imagine all of these unlock new use cases for organisations across a wide spectrum of what they do and the value they add. What does AI mean to business as we have it at the moment? SolarĪI is very real, you know, as computational power has increased, so has the ability to build richer, more complex, more accurate AI models, you know, models, which can predict things that are much greater accuracy, forecasts, estimations, health care, diagnostics, predictive maintenance, all of these are able to be predicted at just much more higher accuracy. Yeah, indeed, Stela why don't you kick us off with your assessment of where we are now on the evolution of artificial intelligence? Because, I mean, clearly, AI is real, it's no longer just a concept, no longer a black box. So the Big Four meets the Big Five? Hugh Burgin Importantly, from within EY's new Microsoft Services Group, Hugh Burgin. Stela SolarĪlso joining us from Denver, Colorado, EY's data and AI leader for the Americas. Stela, I am so glad that you were able to make it. Joining me now from Seattle is Microsoft's Global Head of artificial intelligence solutions, Stela Solar. Before we go any further, let me be explicit, conversations during EY podcasts should not be relied upon as accounting, tax, legal, investment, nor other professional advice, listeners must consult their own advisors. They believe to win, C suites must give AI projects their full leadership support to build at scale and to build rapidly. They believe to win, artificial intelligence must focus on an organisation's big problems, not be buried away in some corner. You're about to meet two leaders who specialise in implementing AI. But as businesses invest billions of dollars, the divide is widening between AI winners, and those who still struggle. Not only does AI construct your social media timeline, but it also seeks to police it and our streets as well. AI powers drug discovery, assists in surgeries and coordinates complex manufacturing. AI chatbots recognise our voices, our faces and mimic our human interaction. Make no mistake, the industrialization of artificial intelligence is now fully underway. I'm your host, Simon Hobbs in California. I wish I could take this advice, myself.This is the EY podcast, Artificial intelligence and the C suite, ideas for leadership from EY, offering clients the expertise they need to harness leading AI services from Microsoft. You’re fundamentally playing an ‘impossible’ game.Furthermore, don’t give him time to think. Your arguments, if well thought out, should so completely novel to him to make him feel shock and awe. The reason being that the Gatekeeper will always use arguments he are familiar with, and therefore he’s better at.Remember that the Gatekeeper has to reply to you, but not vice versa! In other words, you must be the one directing the flow of the argument, and the conversation, not him. Don’t get drawn into the Gatekeeper’s pace. ![]() For instance, must the experiment only be set in one world? I feel that expanding on this any further is dangerous. It may be possible to take advantage of multiple levels of reality within the game itself to confuse or trick the gatekeeper.You don’t have time to think during the experiment. Seriously, a script makes winning easier.
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