Okay, well we’ve got a good solid eight hours of material to cover, so I hope everyone is settled in with plenty of food. Grab a snack, grab some water, and call your family. Oh, good! Well, we still have some folks coming in from the waiting room, but it is five after the hour, so John, what do you think about getting us going and officially starting? Does that sound good to you? Let’s do it. Alright, so once more, officially on behalf of ATD Regional webinars, I’m David Marks, thanking you all very much for being here. We’ve got a nice group of folks and a very hot topic, as people have pointed out. So, really looking forward to getting to that, which means I won’t take very much time in introducing things. John, you can go on to the next slide so we can just look at our sponsoring chapter. Thank you very much, Central Pennsylvania, for putting this all together and bringing John to us. And then also, some expectations for the day. If we want to go into the next slide, John. So, the presentation will be about an hour. We see some folks on video, that’s great. Love to see you. And of course, if that doesn’t work for you, that’s also totally okay. During the presentation, we’d love to have everybody accept our presenter on mute so that we get a nice clean recording and we can all concentrate on what John has to say. And I’m also happy to mute folks if somebody slips off during the presentation. I’m happy to do that with the idea that you can always come back on audio when it’s time to share something or to chat as a group. Please do keep things going in the chat. I’ll be paying attention. I’ll be letting John know what we’re seeing at different points and make sure that everything gets covered. And as we chatted a little bit about the recording and slides, they will be available through your chapter once those are processed. It could take a week or so, but they will be available if that helps you understand how best to engage with everything today. Next slide, please, John. Very happy to introduce John, a long-time performance management software innovator. John Hack holds a bachelor’s degree from MIT and a master’s from NYU. His early work in natural language processing, data visualization, and real-time risk analysis led to delivering predictive and automated analysis of organizational performance, for which he earned three patents at SAP. He led the Performance Management Innovations team as they developed new ways to analyze individual performance, visualize an evolving workforce, and help people tackle new problems. He is currently the CTO and co-founder of Interflexion, leveraging AI to help aspiring professionals develop their conversational skills. John is so glad and very excited to have you here. Please take it away. Thank you so much, David. So, I’m going to throw up the ‘Please sign up for chat’ slide for the last time. It is in the chat. I encourage everyone, if you’ve not signed up, to do so. It will make this a more fun evening. But as I mentioned earlier, if you are blocked by a firewall or for some reason don’t have access, don’t worry. I will be sharing everything from my end as well, so that you’ll be able to see what’s going on, even if you don’t have the interactions yourself. I have a lot of material to cover, but first, I want to know about you a little bit. What’s your level of experience with ChatGPT? I think we’ve got the basic breakdown here, which is 40% have played with it, 30% have touched it, and 30% have been using it for their job. So, it’s a pretty broad range of skills across the board here. And I’ll try to make sure that there is something for everyone here. Really, three goals for tonight. One is just to give you a better understanding of AI, and I’m going to keep that very short because it could become very long, and that’s not really what tonight is about. The core of it is really about working with AI and getting hands-on with ChatGPT. And we’ll look at a couple of other tools as well to actually create curriculum. And then finally, we’re going to wrap up with a little discussion around preparing for disruption and what else is coming with AI beyond just these generative AI technologies. Artificial intelligence is actually not very intelligent, but it typically does just one thing really well, and it’s very, very fast. But it is able to do things at scale and very quickly that humans can’t, and that’s where a lot of the value comes. I like to think of AI as falling broadly into three categories. The first one, and where we’re going to spend almost all of today, is on generative AI. This is AI that generates output that you can use. It can write a term paper for you so that you can turn that in instead of doing the homework yourself, for example. Or it can create images that you can use for your business. Analytic AI is perhaps the oldest of the AIs, and it’s used for social media feeds to determine what you see, recommendation engines like Netflix, and it’s used to automate claims processing. It plays chess, things like that. Some LMS systems that you’re working with out there have AI doing analysis and recommendations. And there’s everything else, and that includes things like Robotics and weapon systems. We’re not going to talk much about that at all.
