Nathan Stubina: Hello, everyone. We’ve let you into the the main room we’re just chatting amongst ourselves. So just we’ll give people another minute or so to to come in or come on board.
Cheryl Hart: Yeah mixed group this time. That’s for sure.
Cheryl Hart: I don’t know about you, but I like seeing everybody. When I’m on a webinar. I want to see who’s here. I want to see who’s in the group and
Cheryl Hart: see how everyone’s connecting and options to say things.
Nathan Stubina: Oh, I see, Carly joined welcome, Carly. I just saw you posted something on Linkedin. You’re very efficient. 2 things at the same time.
Cheryl Hart: He’s gonna tell me it’s AI
Nathan Stubina: good to see you. Is it the real Carly?
Cheryl Hart: Is it the real curly? Yeah, the meme? That’s okay, though it’s gonna be an interesting topic. Today, I’m I’m super excited. We’ve kinda switched it up a bit. And
Cheryl Hart: you’ve got definitely a mixed group. So you know, lots to talk about. Hopefully, we can hone in and answer some questions and
Cheryl Hart: be able to get everybody on track. And
Cheryl Hart: Matti definitely has
Cheryl Hart: a wealth of information. And I think we’re gonna have a little bit of a mixed group in the sense of who’s understanding AI using the tools, we’re all using AI to say it. But that way. But yeah, I’m looking forward to it. Nathan, you using any interesting tools? AI, specifically, are you still in the learning phase? Where are you? Where are you at? I’m on the learning phase, and that’s that’s why I’m here today.
Jan Smit: I think I mean the victim phase did I get? I get the presented prices on the Internet. Did I know?
Jan Smit: Tail it to me and how I feel?
Nathan Stubina: Okay, maybe I’ll get go get going just go through some of the ground rules
Nathan Stubina: today, we’d like you to use the the chat function, not the QA. But the chat. So for these webinars. Usually the audience is quite engaged. If a cheryl will rion see something trending that they’ll break in and and ask Patty. But you know, we’ll we’ll be monitoring these quite closely, and and the audience, of course, can chat amongst themselves.
Nathan Stubina: So, my 2 co-hosts here we have yon smith, who’s the Director of Technology, Innovation and growth at sheriff. And he’s coming to us from the Edmonton area of Canada Cheryl Hart from on task strategy. She’s coming from just north of Toronto and Cheryl provides companies with the growth strategies, operational roadmap business insights.
Nathan Stubina: And if you need a translator between yourself and government. She understands how they speak, how they think, and other other mysteries of the universe. And I’m coming from the Just, the West End, Oakville, about 40 kilometers west of Toronto.
Nathan Stubina: We have something called. Ask the expert if you go to the platform where you registered for a webinar. There’s something called, ask the expert. So if you have a question after the fact, or if you’re watching this by a recorded means you could ask questions, and we’ll make sure that Maddie gets them. Of course you could ask questions to Cheryl Ariad or myself through there as well.
Nathan Stubina: So the the the intro is really, you know, what’s the impact of AI on innovation within the business world.
Nathan Stubina: how AI transcends multiple areas of businesses.
Nathan Stubina: how AI tool tools are catalyzing. Change and driving force be behind innovation. and how we could use them for for decision making.
Nathan Stubina: I’ll just give a a quick intro to Maddie, but when when she comes online I’ll I’ll get her to to add in what she’d like she’s
Nathan Stubina: been before her her current role she was with Procter and Gamble leading some of the world’s brands at Png for about 12 years, and her and her co-founder, Mike, have been together for about 20 years, and they’ve they’re raising 3 of children’s Kate 5, page 3, and Emily one, and I’m sure that requires a lot of scheduling just amongst those that group there.
Nathan Stubina: So, Maddie, what? What I’ll get to you to just introduce yourself and Cheryl when you come in with the Poll, I’ll I’ll get you to introduce how you met Maddie and your your interest in this topic as well
Maddie Bell @SchedulerAI: cool. So, hey, guys, nice to meet you all. So I was asked to come here. And I actually have 2 roles in this conversation today. One of my roles is as a business owner. So I am the CEO of a venture, backed AI company
Maddie Bell @SchedulerAI: and the majority of my job is making sure that my team is set up for success. So a lot of what I will be talking about and answering questions on today is, how have I brought AI into my company to enable my people to achieve great business results.
Maddie Bell @SchedulerAI: So that’s that’s one role. And then my second role is obviously I am again the CEO of an AI company. So our company is Scheduler AI, and
Maddie Bell @SchedulerAI: if you are probably not, really, it sounds like most people aren’t on video. But if you can hear this if you like.
Maddie Bell @SchedulerAI: Scheduling meetings with your clients.
Maddie Bell @SchedulerAI: raise your hands. Thank you.
Maddie Bell @SchedulerAI: More client meetings, more money. Yes. if you like, actually coordinating those meetings. keep your hands up.
Maddie Bell @SchedulerAI: Okay, no, you don’t. You don’t like it. Cheryl, okay, yeah. So so basically, that’s what we do. We help businesses instantly. Book more client meetings and keep those client meetings by providing them with an actual AI assistant. That schedules meetings for you.
Maddie Bell @SchedulerAI: So that’s what we do. And so today I will be talking about
Maddie Bell @SchedulerAI: how you can use AI for your people, how AI is actually developed. And all kinds of different things to help you guys ideally get some ideas on how you could apply it to your own business.
Cheryl Hart: Awesome.
Nathan Stubina: Oh, Nathan, you’re on mute. Nope, Cheryl, maybe you could just describe where how you met Maddie. And
Nathan Stubina: oh, here we have our first.
Cheryl Hart: Let’s do a poll. Let’s get everyone whenever we do the poll, and I’ll say it, you know. So essentially you know. There, there’s definitely some AI girls been at this for years, you know, you know, 1015 years, and so we’ve been able to see a lot more action on our social media isn’t really getting these tools.
Cheryl Hart: And Maddie and Schedule AI popped up because Ally came Miller. She used to lead AI over at Amazon, and she’s a she’s a top guru, and in social media the industries and a good partnerships that’s been happening. And she really highlighted how Maddie’s
Cheryl Hart: tool has a unique way to bring innovation together for with teams, and she really highly saying, How can we bring these pieces together without sitting in room all day long every day? So you know, you go for a meeting, and then, just like you don’t wanna let go because you’re like, when are we gonna get everybody up together again?
Cheryl Hart: And essentially with Schedule AI, where she an identified. It’s like this is different. Way to run innovation. Come together with your ideas and then you back out, have a moment to absorb it, and then to get everybody back together again. You don’t sit in a hotel for 2 days. So essentially, you know, Schedule AI, for example, this tool AI tool, can bring people together. So you’re bringing those ideas together faster. You’re coordinating faster.
You bring the information
Cheryl Hart: to the teams faster. So I thought, those are really cool way to say, Hey, this is, I fall into that trap of saying, Hey, I get pulled into workshops and with with clients and saying, Okay, well, how do we take a moment to absorb this and come back? So I said, Maddie, can you please come and have beyond bits and bits, and talk to us about what you’re kind of managing, what you’re seeing and we got lots of interesting questions from Nathan and hopefully, the audience.
Nathan Stubina: So, Maddie, you’re in luck. So more than half the people are not very familiar or completely new.
Nathan Stubina: nobody wanted to put themselves down as an expert, so so luckily, you’re here, and about 40% of our somewhat familiar. So so definitely on the scale of of not familiar or or completely new. So so that’s great for us.
Nathan Stubina: Share the results. If you’re able to see them.
Nathan Stubina: So I’ll start off with a couple of questions if you don’t mind.
Nathan Stubina: One of them is.
Nathan Stubina: what’s the most amusing misconception of about AI that you’ve encountered in your work
Nathan Stubina: and the other one.
Nathan Stubina: What are specific ways that teams can harness. AI to speed up the innovation process. So I’ll let you answer whichever of those to you like first.
Maddie Bell @SchedulerAI: So what is the most amusing? We say this to customers, clients
Maddie Bell @SchedulerAI: every day.
Maddie Bell @SchedulerAI: a. I is a super powerful technology.
Maddie Bell @SchedulerAI: AI is not magic.
Maddie Bell @SchedulerAI: right? There is a difference. And so I think that’s a good thing. Right? So you know, when the world’s computers were introduced
Maddie Bell @SchedulerAI: to those people that had never seen or experienced massive computers, it it did appear. Like magic. Right? But it’s not, it is. These are all tools that have been built by people with specific inputs. And obviously, today, a lot of the conversation is around generative. AI, right? Because if you guys, you guys have been in very lot of you in industrial
Maddie Bell @SchedulerAI: types of spaces. There’s been AI in product supply and all that for a long, long time. What’s what’s really hit mainstream? Is this generative? AI, and what that means for those that aren’t as familiar
Maddie Bell @SchedulerAI: is that these generative AI models have essentially been trained on on lots of data depending on the model right? In the case of Gpt, which you guys have probably heard of in the news or around, it’s literally been trained on the information available on the Internet.
Maddie Bell @SchedulerAI: So imagine if you read every page of the Internet and you just knew it, they could give you a test, and you would. You would be able to use all that information. That’s essentially what it is.
Maddie Bell @SchedulerAI: And then it’s trained as a neural network to be able to make connections between that information as if it’s processing. The logical consistency’s similar to how you and I might decipher and and create conclusions from that information. So that would be the funniest thing I’ve said is is, you know, it’s important to remember that
Maddie Bell @SchedulerAI: AI is a extremely powerful tool. It is not magic. Which means you can understand it, and you can control it, and you can leverage it
Maddie Bell @SchedulerAI: in your businesses in ways that fit your requirements.
Nathan Stubina: Yeah, you’ve used the word tools a lot. So so in
Nathan Stubina: your world, you’re looking at it just like a computer or sub tool. But but I think your your point is that now it’s a tool that’s available to to all of us.
Nathan Stubina: whereas, you know, robotics would be for manufacturers. But you know, these tools are are available like, I just I just saw today on on Linkedin that they’re starting to use it to look at your Cv. To change the Cb. And to perhaps target it to people who, you know, could use those skills or to identify jobs that would be applicable to you. So you know, here’s a case that it’s available to to any one of us.
Maddie Bell @SchedulerAI: Yeah. And I think if you think about these generative AI models as tools, there’s different
Maddie Bell @SchedulerAI: things that most businesses need to look at
Maddie Bell @SchedulerAI: and I’m for those of you listening. I’m gonna kinda use the metaphor of computers just because everybody knows what computers are. We know they’re powerful. We use them every day. So this is not a one to one metaphor, but we’ll use it. And if
Maddie Bell @SchedulerAI: it sounds confusing, just put a comment in there.
Maddie Bell @SchedulerAI: obviously.
Maddie Bell @SchedulerAI: there are people who use tools to build software companies that use to that use computers to build software to fuel their companies. And in many cases that software is customizable. It is focused on that company’s data, that company’s workflows. And there’s an entire It department, maybe a chief innovation officer. And they’re focused on building those technical tools for your enterprise.
Maddie Bell @SchedulerAI: just like software that is possible with AI. So you guys are probably seeing a lot of, oh, how do we take our data and build all these big platforms or these agents for our industry? Yes, that is part of the conversation.
Maddie Bell @SchedulerAI: The other side of computers
Maddie Bell @SchedulerAI: is the computer you use in the office every day to go fast. Right? So we’re not writing our corporate memos with a pen and paper anymore. We’re not doing that. We’re typing them up.
Maddie Bell @SchedulerAI: And that part of AI is also real. You are able to and have access to. Now tools that allow you to do tasks within your workplace
Maddie Bell @SchedulerAI: one tenth of the time they used to take.
Maddie Bell @SchedulerAI: So if you’re a senior leader in your business, you should be thinking about both of those things. What is the software? What is the customizable? AI. You need to fuel your business
Maddie Bell @SchedulerAI: absolutely.
Maddie Bell @SchedulerAI: And what are the a I tools your workforce needs
Maddie Bell @SchedulerAI: in order to operate with maximum efficiency and effectiveness.
Maddie Bell @SchedulerAI: Obviously, when it comes to scheduling meetings.
Maddie Bell @SchedulerAI: I play on that side of the equation right. Our job is to make it frictionless for people to meet together.
Maddie Bell @SchedulerAI: The average employee wastes 4 to 5 h per week.
Maddie Bell @SchedulerAI: just managing their calendar.
Maddie Bell @SchedulerAI: Now, if you have a light calendar, maybe you don’t meet with a ton of people. Maybe that’s not the case. Most people. It is several hours a week.
Maddie Bell @SchedulerAI: We can make that go away by giving you a better tool. Right? So that’s one example.
Maddie Bell @SchedulerAI: On the other side. you see people creating AI agents for enterprise that I don’t know
Maddie Bell @SchedulerAI: index all of their data and make it perfectly available so they can do maybe mining stuff.
Maddie Bell @SchedulerAI: So anyway, if that makes sense, maybe drop it in the chat and say, yes, that made sense or no. I’m totally confused. But that’s how I would think about it. When you guys start to think about, okay, what role does AI play you want to think about? Are you enabling your people with better tools? Are you building specific AI for your business to achieve a specific outcome.
Nathan Stubina: Well, just by coincidence that that happened to be this morning, I got a call from somebody. She was coming to Toronto for for some event, and something changed, and she said, Oh, no, I I’ve gotta change. You know the flight. I gotta change the the restaurant. I gotta change this. I gotta change this. I gotta contact all the people. And I was just thinking in my head, she’s gonna be spending like 2 h just trying to arrange all this.
Nathan Stubina: and you know and you know your your webinar was coming up, and I was thinking, like, you know, if we had some magic tool that was able to. You know, contact all these people simultaneously. And you know II think you hear this all the time. So so do you see your schedule. AI tool is more of a a productivity or more efficiency, or more of a nuisance type of application.
Maddie Bell @SchedulerAI: The way we think about it. Because I’m a manager of people.
Maddie Bell @SchedulerAI: We always talk about efficiency and effectiveness. They’re never separate
Maddie Bell @SchedulerAI: right? At the end of the day. The most efficient employee who doesn’t help us make revenue isn’t effective.
Maddie Bell @SchedulerAI: And so when we build AI, our focus is on delivering tangible business results. And for us, that means helping people schedule meetings that tend to make them money. Right? So we want to enable sales teams to connect with clients instantly recruiters to connect with talent right away. But
Maddie Bell @SchedulerAI: we also help people be efficient right to Cheryl’s point. We get the project teammates in a room when they need to be to work on the project.
Maddie Bell @SchedulerAI: Productivity should be a natural outflow of that. But I would say, efficiency and effectiveness are both required. And it should be something you’re measuring all of your AI tools on right great. This makes me more productive. But does it make me more efficient
Maddie Bell @SchedulerAI: at delivering the business result that I’m actually trying to pursue.
Nathan Stubina: I found an artifact, that of the Covid era
Nathan Stubina: BC. I guess before, Covid, you know, people would just go. I would go to yacht’s office, and you know, if he was there, I’d knock on the door. But now people are, you know, scheduling, let’s say 30 min blocks in order to talk to someone, and you might only need 5 min. And then.
Nathan Stubina: you know, here’s a block of 30 min, and nobody else will book you because you’re booked for 30 min, and you’re not going to stay on the call for like 30 min. If I just had a 5 min call for yon. So so did Covid influence Scheduler AI, or were you working on this beforehand?
Maddie Bell @SchedulerAI: We were Covid? Did I think, being parents of 3 kids, influenced it the most finding time for us took too much time whether it was at work scheduling appointments, trying to find time with friends. So that was certainly the biggest one.
Maddie Bell @SchedulerAI: and and but certainly, you know, when you’re dealing with teams across time, zones.
Maddie Bell @SchedulerAI: time zone. Math is hard, right? And and part of what we say you guys should look for when you’re looking for AI tools.
Maddie Bell @SchedulerAI: what tasks are your people doing that are repetitive.
Maddie Bell @SchedulerAI: tedious.
Maddie Bell @SchedulerAI: fundamentally necessary. Right? So even though the time zone math is terrible, I can’t just not meet
Maddie Bell @SchedulerAI: right. I’m not gonna achieve my business objective if I can’t get a meeting on the books. So again, those are areas where, if you’re looking to say Hmm, where can I get some AI involved.
Maddie Bell @SchedulerAI: repetitive, tedious, absolutely necessary. You should absolutely be looking in those places.
Nathan Stubina: Cheryl. I saw Bert Halls had a question, and you answered him. Did maybe read his question.
Cheryl Hart: Yeah, actually, it’s great question. Just there’s there’s so much hitting us right now, Matti, of just where to go. New tools, like, you know every day there’s just reiterations, and it’s it’s so II think for me it’s a bit overwhelming because I didn’t deal with clients looking to integrate new tools, but they’re on like old series, and we see like companies come together so fast pulling information together so fast. So you know the the way I’ve gone on it. Burt’s asking, Where do you? Where do you look
Cheryl Hart: for what available tools there are? So II put in future Topia
Cheryl Hart: Fe. What is it? Yeah, feature, pedias? What is called a O, and I but for me, I don’t think there’s a golden answer to that. But what do you. What do you think, Maddie?
Maddie Bell @SchedulerAI: I’ll ask. I’ll answer it strategically, and then I’ll answer it functionally.
Maddie Bell @SchedulerAI: strategically. I always coach people
Maddie Bell @SchedulerAI: look for tools in a similar fashion to the way you did before.
Maddie Bell @SchedulerAI: meaning at the end of the day, what is your problem?
Maddie Bell @SchedulerAI: What are you trying to achieve from a business standpoint.
Maddie Bell @SchedulerAI: And how can you
Maddie Bell @SchedulerAI: then, look for tools that that deliver on that specific problem? So if I am looking for.
Maddie Bell @SchedulerAI: I want my team to be able to operate as efficiently as possible. Okay, which team is it? The marketing team?
Maddie Bell @SchedulerAI: Okay. They, you know, spend half their time generating content. What? Content.
Maddie Bell @SchedulerAI: Okay, cool. So we need to be able to help them create content here. 3 content platforms. You know, you can look at general things like I said, like
Maddie Bell @SchedulerAI: only 1% of the world’s knowledge workers have an executive assistant. So maybe you want to allow people to collaborate. You want better remote tools.
Maddie Bell @SchedulerAI: Then you may look at me. So I would say, start with the problem that said.
Maddie Bell @SchedulerAI: when in doubt. you know. you can absolutely look at different websites.
Maddie Bell @SchedulerAI: I like to follow people on Linkedin that talk about new platforms, and I will say, when it comes to actually generating content and knowledge. if your company allows it. GPT. 4 is still going to be the best.
Maddie Bell @SchedulerAI: So a lot of companies wrap
Maddie Bell @SchedulerAI: branding around Gp. D. 4. And what they do is they include really good prompting to get you a better output faster. So, for example.
Maddie Bell @SchedulerAI: maybe some of the copy platforms. What they’ll do is they’ll prompt it
Maddie Bell @SchedulerAI: to make sure that it sounds right for us, audience, or it’s using the right language. Try like 10 like tone.
Maddie Bell @SchedulerAI: So you will get a better, faster output. But you could probably get the same output if you just prompted GPT. 4. Well, yourself. So
Maddie Bell @SchedulerAI: those are different now. You have platforms like mine
Maddie Bell @SchedulerAI: where it’s like no amount of prompting is going to get GPT. 4 to schedule a meeting for you on an outlook calendar.
Maddie Bell @SchedulerAI: It’s not functionally capable.
Maddie Bell @SchedulerAI: So that’s where you can look at services like mine which take an Lm and actually apply it to a workflow that you care about.
Maddie Bell @SchedulerAI: So net. Start with the problem.
try to identify it.
Maddie Bell @SchedulerAI: Search for those specific solutions
Maddie Bell @SchedulerAI: when in doubt. Look at GPT. 4, and
Maddie Bell @SchedulerAI: you know, you can obviously look at top AI apps ones that are performing ones that are popular. And there’s probably a reason why
Cheryl Hart: prompting, you know, you learn to prompt better. You learn to engage pieces more. Also social media. There’s tons of people on there showing you how to use the tools. So
Cheryl Hart: I would anyone in the audience, looking who hasn’t used the tool, get on it, because the the saying is, you know.
Maddie Bell @SchedulerAI: try these things, because if you’re not using these tools, you’re gonna be left behind. Jan had a good question. Kind of on this right, she said. AI seems to sometimes have a mind of its own. Do we give up too much control?
Maddie Bell @SchedulerAI: And so what I like to tell people is
Maddie Bell @SchedulerAI: these models. So here’s a fancy term for you if you want to play AI bingo these terms are what is called non-deterministic models.
Maddie Bell @SchedulerAI: and what that means is.
Maddie Bell @SchedulerAI: each time you throw the information into the blender. And you ask a question. It is going to look at the different connection points of the knowledge that it has. And it’s going to pop out a potentially different answer every time.
Maddie Bell @SchedulerAI: because it’s thinking it is is actually connecting like this is like this, this is like this. I know this from this part of the Internet. So it it is absolutely doing that
Maddie Bell @SchedulerAI: that said.
Maddie Bell @SchedulerAI: what a lot of
Maddie Bell @SchedulerAI: people
Maddie Bell @SchedulerAI: try to compare it to is
Maddie Bell @SchedulerAI: your employees are doing the same thing. So at the end of the day.
Maddie Bell @SchedulerAI: another way to exemplify it is in a creative space. If you’re writing a blog
Maddie Bell @SchedulerAI: creativity is good, right? Thinking about this differently, thinking about it nondeterministically trying it this way. Oh, no, you didn’t like it this way. Alright. Let’s tweak it like, that’s a great experience. And it’s why generative AI hit the creative side so far, so fast. Because you have a very, you want creative thinking. You want unique thinking?
Maddie Bell @SchedulerAI: Obviously, as you go into, I don’t want any mistakes. That is where you are going to need a more controlled model.
Maddie Bell @SchedulerAI: What I would also say, is a lot of times when I talk to companies, and they’re like, but what if GPT. 4 makes a mistake?
Maddie Bell @SchedulerAI: guess what your people do, too. So at the end of the day, right? A lot of the times I talk to him. So let’s give an example. Our sales teams that that we talk to
Maddie Bell @SchedulerAI: have very robust playbooks. Everybody who comes to the company needs to memorize it. They say this, you say this, and they just memorize these pages of information.
Maddie Bell @SchedulerAI: But when it comes down to actually selling.
Maddie Bell @SchedulerAI: it’s what’s ever in their head. Right? In that case AI
Maddie Bell @SchedulerAI: can do very similar things right? And so a lot of this, when it comes to security compliance which workflows, is about thinking. Who would you put in charge of this. And why.
Maddie Bell @SchedulerAI: if it were human.
Maddie Bell @SchedulerAI: is it something we’re memorizing? A ton of standardized information is critical and is the most important thing you should use. AI. It’s very good at memorizing things
Maddie Bell @SchedulerAI: if it’s one where it’s a legal document, and if it says one word wrong, somebody’s going to jail.
Maddie Bell @SchedulerAI: I would not use AI so there’s judgment that needs to come.
Maddie Bell @SchedulerAI: so so that’s what I would kind of say. So like, do we give up too much control.
Maddie Bell @SchedulerAI: Whenever you’re going to use technology, you are going to give up control. So and that hasn’t changed. That was that way before AI. So using those same, it best practices on, how do we create safe software solutions? All of those should be in play when you look at bringing AI into your enterprise.
Maddie Bell @SchedulerAI: And then. okay, well, how do I know what it principles I need?
Maddie Bell @SchedulerAI: That is where it really does help. To. What Cheryl said. Play with these platforms you will learn a new behavior
Maddie Bell @SchedulerAI: just by getting a free Gpt account and asking it to write you a poem about Panda bears and trying to get it to give you something that you want, because that interaction of no, you didn’t really do it that way. I wanted it this way
Maddie Bell @SchedulerAI: will start to get you comfortable with how this new relationship works.
Maddie Bell @SchedulerAI: And it’s similar, like, when somebody first saw a computer, you’re like, Okay, so you take your fingers and you hit the buttons. And then it’s gonna appear on the screen right? Like you need to establish that knowledge of the tool.
Maddie Bell @SchedulerAI: And then you can take that into a much broader conversation.
Cheryl Hart: Ceos had to learn to start typing again.
Nathan Stubina: had something about a hoot, had something about a hockey game in the in the in the chat, but it it kinda reminded me like Jan and I were just working on something. And you know we we asked Chat Gp. To, you know, to write us some kind of a journal article.
Nathan Stubina: and it came up with 2 references that sounded really really good. And we, you know, we said, Oh, this is great. This is exactly what we need. And then we went to search for them and it it. They they weren’t there. They were just bogus. I’m not sure why it put that type of reference to the technical paper, but it it sounded what we wanted, but it was. It was too good to be true.
Maddie Bell @SchedulerAI: Yeah. And oh, ya han sorry I mispronounce your name before it. My AI will not send you to a hockey game that doesn’t exist. But basically what we have done
Maddie Bell @SchedulerAI: and what a lot of companies do right is.
Maddie Bell @SchedulerAI: I need the generative AI to interpret. What are you trying to schedule when you open up an email and CC, your AI assistant and the people you want to meet with, and you say something like Scheduler. Find an hour for us to meet next week.
Maddie Bell @SchedulerAI: I need the AI to understand that you want an hour, and you want to meet next week.
Maddie Bell @SchedulerAI: But then I need to take that data input, and I need to actually execute an entire workflow.
Maddie Bell @SchedulerAI: I need to identify time availability. During that time. I need to send it to a Google Calendar, a Microsoft calendar. I need to look at whose information I know who’s I don’t. I need the AI to be able to problem solve. If the person’s outside your organization, they need to be proposing times versus just saying, this is what works. So what I would also say is a lot of this is complex technology that is layered.
Maddie Bell @SchedulerAI: So you may use the AI to interpret the command. But the rest is true software engineering. So hopefully, that answers your question. But
Cheryl Hart: okay, great. And does that mean that would make those meetings more effective. So I know those language models where you can have it record. You don’t have to people taking notes anymore. So can you give us like a little example, like I said, how how this would work and how’s it? Makes meetings more effective?
Maddie Bell @SchedulerAI: Sure, no happy to. So everybody on here. Use email.
Maddie Bell @SchedulerAI: we’ll we’ll talk through email is that one’s pretty easy. Okay? So the way you use our AI is just like you had an executive assistant. So when you open up an email so that well, the first thing you’re gonna do is sign up. All you do is log in with Google or Microsoft, and you sign up.
Maddie Bell @SchedulerAI: then you any time you add skip
Maddie Bell @SchedulerAI: firstname.lastname@example.org to an email
Maddie Bell @SchedulerAI: and give a scheduling command somewhere in that email.
Maddie Bell @SchedulerAI: it will work to coordinate that meeting. So, for example. hey, Cheryl, loved the podcast everyone on there was amazing.
Maddie Bell @SchedulerAI: would love to follow up with you for 30 min next week to debrief. Scheduler, find time for 30 min next week.
Maddie Bell @SchedulerAI: Or just say, let’s let’s grab 30 min next week to debrief doesn’t have to be that specific
Maddie Bell @SchedulerAI: I hit. Send the minute I hit send
Maddie Bell @SchedulerAI: the information will be sent to the LM. It will interpret the message and say, Okay, Mattie wants to meet with Sheryl for 30 min next week. Then it will say, Well, Matty signed up, so I know Maddie’s calendar, but I have no idea what Cheryl is doing next week, so I should propose the time. Cheryl.
Maddie Bell @SchedulerAI: Here’s a few times that Maddie is free for 30 min next week. Do any of these work for you?
Maddie Bell @SchedulerAI: Cheryl says. Oh, I like this one clicks it great. I’ve locked it in the meetings on everyone’s calendar
Maddie Bell @SchedulerAI: but 30 min prior to the meeting. Cheryl realizes she’s in a huge meeting with her Vice President. She can no longer make it. She’s really sorry, and she says, sorry, Maddie, something came up. Can we reschedule this meeting to next week
Maddie Bell @SchedulerAI: while I might be in another meeting? I don’t know where I am. Maybe I’m sleeping. Maybe I’m at the gym.
Maddie Bell @SchedulerAI: Scheduler will see that. Adjust the time for next week and keep it on everyone’s calendars.
Maddie Bell @SchedulerAI: So that’s just an example. Right? It can do that with groups. It can do that
Maddie Bell @SchedulerAI: cross time zones, if I want to say, Hey, Cheryl, I want you to meet with Mike and I from my organization. I just CC. Mike. And now Scheduler knows why. No, Maddie and Mike’s calendar. So I’ll just propose the Times that they’re both free to Cheryl.
Maddie Bell @SchedulerAI: So that’s just a a a small example, right? And then to your point on hey? Can the AI do meeting minutes. Yeah, absolutely. We personally have focused on the scheduling side.
Maddie Bell @SchedulerAI: but we will be launching meeting minutes soon. It’s very easy technology. It’s very commoditized. There are 100 platforms. So you should totally sign up for one. I actually like Sibyl. If you guys, Otto AI is great.
Maddie Bell @SchedulerAI: so yeah, they can take meeting notes, and then what you will see from us. And so this is where I’m happy to share a peek behind the hood.
Maddie Bell @SchedulerAI: All of the venture-backed AI companies that are really trying to change the game
Maddie Bell @SchedulerAI: are focused on what the future will look like for these types of things. And so in our world
Maddie Bell @SchedulerAI: the thesis is
Maddie Bell @SchedulerAI: scheduling doesn’t start with a calendar. It starts with a conversation.
Maddie Bell @SchedulerAI: In almost every case you’re having a conversation, and that conversation has context. And that context matters.
Maddie Bell @SchedulerAI: So that’s the first thesis that we’re focused on.
Maddie Bell @SchedulerAI: The second. Thesis is the calendar is the database of how work gets done in your organization.
Maddie Bell @SchedulerAI: what work gets done.
Maddie Bell @SchedulerAI: who does it when they do it? And it can even predict
Maddie Bell @SchedulerAI: what work should be done.
Maddie Bell @SchedulerAI: And so, while yes, my company is focused on
Maddie Bell @SchedulerAI: the atomic unit
Maddie Bell @SchedulerAI: of the calendar, which is just schedule the darn meeting.
Maddie Bell @SchedulerAI: You will see us continue to evolve
Maddie Bell @SchedulerAI: into a place of
Maddie Bell @SchedulerAI: how can you leverage that enterprise level calendar data to create higher performing enterprises at scale?
Nathan Stubina: I’m trying to think of a a mining example, and II know you’re not a mining person. Oh, by the way, it won’t pick 30’clock in the morning on December 20 fifth, because we’re both free at that time.
Maddie Bell @SchedulerAI: Yeah, it’s smart enough to know your time zone. When you meet relatively, you can set code words based on meetings you set regularly, so it knows the rules.
Maddie Bell @SchedulerAI: so, and it’s smart enough to know that people eat lunch in the middle of the day.
Nathan Stubina: I was thinking of the mining example. So so it might not be necessarily people like. For example, you might have different mining trucks going to different parts of the pit. and you don’t want 5 trucks to show up
Nathan Stubina: and waiting, because there’s only one shovel there and no trucks going somewhere else, cause there’s a
Nathan Stubina: 2 shovels, and you know no trucks. So you think it could be used for for other applications besides scheduling. You know, people and calendars. But maybe machines, and II guess the robotics is one example where it does do that. But
Cheryl Hart: yeah, so it’s basically we’re gonna run a poll. We’ll get some answers will be here, and we’ll meet. The audience will be able to connect the pieces, because Maddie’s not from mining, but I sure she can connect in the pieces. We have fair bit of mining people here, but we’ll run run the poll, and then we can. We can help help Daddy out here.
Cheryl Hart: So, considering a adoption, what do you think are the key challenges? Mining shouldn’t anticipate.
Cheryl Hart: So we have data quality workforce reskilling
Cheryl Hart: regulatory compliance costs and investment and lack of understanding. Oh, if you can solve that, Maddie. lack of understanding.
Cheryl Hart: Hmm, interesting.
Nathan Stubina: So this is interesting. So so let’s say, workforce reskilling. Does the
Nathan Stubina: mining people do the mining people need the skills? Or they could they rely on people like yourself and others who, you know we would approach with. Here’s my problem.
Nathan Stubina: I don’t know how to use AI to solve it, but you know ha! You might not know the issues in mining. But if we describe to you. You know, some of the issues.
Nathan Stubina: you know. So so do we need people who are experts in mining? Or are there enough people.
Nathan Stubina: you know, working in their mother’s basement in Sweden with the skills who could solve this problem?
Maddie Bell @SchedulerAI: it it’s hard to It’s hard to answer in full without getting clear again on on. What is the problem? Right? Cause? Again, it’s could computers help the mining industry like?
Maddie Bell @SchedulerAI: Probably right? Like, when who’s using computers. Right? So I think, for example.
Maddie Bell @SchedulerAI: you wanna go back to those 2 things right? Like, what are the workflows that your people are executing? Are they creating standardized documents. AI can write standardized documents in 30 s. So if you have a template of anything.
Maddie Bell @SchedulerAI: one of so this is a here, this is one fun, one that everyone can do. So everyone can do this.
Maddie Bell @SchedulerAI: And you don’t need to use work stuff. You can pick something else
Maddie Bell @SchedulerAI: if you go to Gpd and you get a free account. And then you go to Google Chrome and get the Chat Gpt microphone extension.
Maddie Bell @SchedulerAI: All it does is, it allows you to speak, and it records your voice. And you say I’m going to tell you a story
Maddie Bell @SchedulerAI: about a time that I had a very difficult career decision to make.
Maddie Bell @SchedulerAI: And then you just talk and you tell the whole story. You can be chatty like me. You can be brief, like
Maddie Bell @SchedulerAI: other people.
Maddie Bell @SchedulerAI: And then at the very end, you say great! Here’s a Linkedin post template that I found. Translate this story into that Linkedin post template. And now you have Linkedin post
Maddie Bell @SchedulerAI: and all it all. It took you the time to talk into a microphone, grab a template.
Maddie Bell @SchedulerAI: copy, paste it in same thing can happen with documents. I have this template that I have to fill out every time. It’s not mining. I don’t even want to type it out. I just want to tell you the answer to all these questions. I want you to fill out the template
Maddie Bell @SchedulerAI: done so, you know that’s an example of reskilling
Maddie Bell @SchedulerAI: is is real. but also just taking the time to show people what’s possible.
Maddie Bell @SchedulerAI: And the best thing that someone did for me
Maddie Bell @SchedulerAI: at the beginning of this was, say to me. okay. you all have a direct report.
Maddie Bell @SchedulerAI: 20 bucks a month. The Gpd. For you all of a direct report. Go manage that direct report. Come back, look at all the work you do, and figure out what that direct report can now do for you that you don’t need to do for you anymore
Maddie Bell @SchedulerAI: and pick all the crappy stuff the I think it says safety forms.
Maddie Bell @SchedulerAI: I don’t. I mean again, then you just have to make sure you’re allowed to share that information right? So some companies have AI on their side of the firewall. You know it just like you wouldn’t go onto Google and put in, here’s the profit statement from Png.
Maddie Bell @SchedulerAI: Don’t do that. But you can even say I am not going to give specific numbers. I am going to say the word blank, and I just want you to write blank, and I will come back in and fill it in later.
Maddie Bell @SchedulerAI: so so that’s what I would say is, is in those areas. Workforce. Reskilling
Maddie Bell @SchedulerAI: is similar to teaching people how to use a new ipad or a new iphone or a new computer. And yes, you should take the time, and you should teach them
Maddie Bell @SchedulerAI: workforce reskaling on. How do I get the right it? People to know how to build and train models is a different conversation.
Nathan Stubina: The results are interesting. So half the people think data quality is gonna be an issue. and the rest of them are pretty evenly distributed. So you know.
Nathan Stubina: you know, people are always worried about having enough data in mining. And enough good quality data. So you know, that’s obviously a concern of the audience here.
Maddie Bell @SchedulerAI: Yeah, I mean, data quality is one that a lot of companies are working on right now. They’re trying to clean up their data in a way that that it can be ingested. Great example of. That is when you record meetings right? For a long time. People didn’t think that data had any value
Maddie Bell @SchedulerAI: has tons of value.
Maddie Bell @SchedulerAI: so that’s why they’re doing it. So
Maddie Bell @SchedulerAI: you can work with consulting groups that can start to help you get your data into the right format
Maddie Bell @SchedulerAI: to have it be ingested. I know one guy I spoke with, does this a lot? And again he talked about. Look. there is human
Maddie Bell @SchedulerAI: error in the data you already have. So there’s always going to be error. Even humans make mistakes.
Maddie Bell @SchedulerAI: but getting into a format where you can interrogate, it is often well worth your time.
Nathan Stubina: Us thinking of taking it one step further I saw Glen Smith was was on on the call. So if you, if you’re doing, let’s say a a bunch of different reports, and there’s no sense scheduling meeting one until you know. Let’s say meeting 2 is finished, or you need 3 people together on topic C, and you know.
Nathan Stubina: So instead of just like one on one meetings, you know, adding different layers of complexity to it. Are people looking at that now, or or do you think you know, that’s something in the future.
Maddie Bell @SchedulerAI: Yeah, so we will. We will be launching sequential meeting workflows eventually.
Maddie Bell @SchedulerAI: So I mean, all of these things will build off of themselves. It’s all about taking the time to teach the A. I the decisions that need to be made and the questions that need to be asked
Maddie Bell @SchedulerAI: to make the decisions, and then you just keep layering. But the cool thing about it
Maddie Bell @SchedulerAI: is, How many people on the chat have ever had a puppy.
Maddie Bell @SchedulerAI: Anybody puppy people awesome
Maddie Bell @SchedulerAI: training AI into your workflows is like bringing home a new puppy
Maddie Bell @SchedulerAI: right? Like you’ve gotta figure out how to train the puppy and make it sit and not pee on the carpet. No, no, no!
Maddie Bell @SchedulerAI: But the cool thing about training the puppy and taking the time to do. It is after that
Maddie Bell @SchedulerAI: you have written 10. You have a guard dog that is going to jump through a window every time and get the bad Guy.
Maddie Bell @SchedulerAI: and so that’s that’s another way that I would think about it, even in your own workflows like, yes, it’s gonna be a pain in the butt to be like. Do this. Nope, that’s not what I meant. Do it this way. Crap. Okay, hmm. But once you’ve set up that system, that system will always deliver for you.
Maddie Bell @SchedulerAI: And so that’s that’s the way you wanna rethink about this is, I could go get my puppy, and I could train my puppy to do what I need to do, and then I could keep teaching my puppy new tricks. And so the things like that you just mentioned, Ni Nathan, are the new tricks right? You will continue to see our puppy learn a lot of new tricks.
Maddie Bell @SchedulerAI: but we’ve got to go in stages, and we’ve got to make sure the puppy learns it appropriately.
Maddie Bell @SchedulerAI: and then we just give people cool rent in tin scheduling puppies.
Jan Smit: but many, and then AI can only produce results that are as good as it’s training.
Jan Smit: How do you avoid that? It builds a biases like we’ve read about in the press so often.
Maddie Bell @SchedulerAI: So again, just like human bias. AI bias is real.
Maddie Bell @SchedulerAI: I, first and foremost
Maddie Bell @SchedulerAI: as leader, as a leader of my company. This comes down to where we will use AI, and where we will not right if it is so. For example,
Maddie Bell @SchedulerAI: if I’m trying to write a document, it’s it’s a factual informational document with a very set template. I’m I’m not actually worried about bias. Right? I’m just trying to fill out a template.
Maddie Bell @SchedulerAI: if I’m asking it. Philosophical mission based questions. Or how should I handle a certain type of person?
Maddie Bell @SchedulerAI: Maybe I shouldn’t be asking those questions to that tool. Right? So I think that’s absolutely something we want to consider. But again.
Maddie Bell @SchedulerAI: just I mean, think about social media. Think about
Maddie Bell @SchedulerAI: you know, social media information tunnels. Right? If you click on certain things. Media knows what you like. It’s gonna keep showing you that until you think it’s real. So there is bias in all of the technology we’re using. This is not different. And so once again, I say, like, we need to all be checking our technological biases. I
Maddie Bell @SchedulerAI: I don’t think the fundamentals of checking those biases are different necessarily, for the average person for the folks building these models. I think the regulation coming is really good and important, because again.
Maddie Bell @SchedulerAI: I don’t think you’re gonna worry about on the mundane like
Maddie Bell @SchedulerAI: everyday work that you’re doing, using this as a computer, the bias, I do think that
Maddie Bell @SchedulerAI: the actual big, big dogs. We’ll need that regulation to make sure those things are in place.
Nathan Stubina: You think it’s okay to ask the questions, how do you handle this tough situation just to see what it would come up with as long as you, you know.
Nathan Stubina: don’t follow it blindly.
Maddie Bell @SchedulerAI: II do. I mean, I think it takes difference. I think, that it takes wisdom. I think all technology can be used for good, and it can be used for evil.
Maddie Bell @SchedulerAI: so
Maddie Bell @SchedulerAI: you know one of the things for those parents on the call. My daughter plays with a I,
Maddie Bell @SchedulerAI: and she’s 5,
Maddie Bell @SchedulerAI: not by herself, and not. But you know we do. We? We make children’s books.
Maddie Bell @SchedulerAI: and I say, Kate, describe to me a character that you want to see.
Maddie Bell @SchedulerAI: and we open up. GPT. 4. We use the Dolly extension, and she says she wants to see a pink unicorn wearing a blue crown with sparkly sprinkles on its saddle.
Maddie Bell @SchedulerAI: and then she gets to see that, and she loves it.
Maddie Bell @SchedulerAI: And then, I ask, Kate. Kate is a is a pink unicorn with sparkly sprinkles on the saddle. Is that real?
Maddie Bell @SchedulerAI: She says. No. but you see it. It’s on the Internet. You just told it to show you a real life picture of it. Is it real?
Maddie Bell @SchedulerAI: And so to me some of that is the difference. Right now, again.
Maddie Bell @SchedulerAI: there are
Maddie Bell @SchedulerAI: a lot of policy things.
Maddie Bell @SchedulerAI: and biases that people are working on at the true Silicon Valley tech level. And they should be
Maddie Bell @SchedulerAI: and our government should be. And that stuff needs to be in place. But I think for the common person, it’s gonna be the same thing as as how you handle the Internet
Maddie Bell @SchedulerAI: and making sure your your kids. And you understand that this is a tool, and you should always question it.
Maddie Bell @SchedulerAI: yeah, can I add a layer to that?
Cheryl Hart: Because there’s some of us working for a large organization. We have to do like call in to it to add anything. You know, you can’t just go online and drop in any kind of add on tool. And I’m kind of thinking of plugins plugins to your Microsoft you know what they’re getting plugin for your your tool scheduler. II would love it. But I’m gonna have you know, big organizations gonna have it saying, Whoa! We haven’t. We haven’t looked at this.
Cheryl Hart: How do we? How would us on this call? What’s the best way to to manage trying to get these tools? And
Cheryl Hart: we’re never gonna be as fast of a huge organization won’t be as nimble. But do you have suggestions for us to be able to be able to bring on these tools?
Maddie Bell @SchedulerAI: It so it’s tough. Ii worked. My last business was the North America oral B toothbrush business for proctor and gamble. We did a billion dollars in sales. So I know what it means to be inside of of a big company.
Maddie Bell @SchedulerAI: and the reality is the information that that company holds cannot be made readily available to the public. in in many cases. And so
Maddie Bell @SchedulerAI: the things that are happening in the marketplace right now, me as a vendor, I meet with it teams.
Maddie Bell @SchedulerAI: We go through those reviews right? So we like to talk to people that have the problem that say, this is killing me. It’s killing my company. I can’t like. We are wasting time, and we need to be making money, and I just need better scheduling cool. Where’s your it, guy? And then I’m gonna go have that conversation and make sure it’s safe and implement it. Because every company is gonna be different. Smaller companies.
Maddie Bell @SchedulerAI: less sensitive data. You’re good to go. So I think it. It really is. What I will say is, if you are able to familiarize the cell yourself with the tool. Make a children’s book for your kid.
Maddie Bell @SchedulerAI: You will know what it’s capable of.
Maddie Bell @SchedulerAI: and that will help shape
Maddie Bell @SchedulerAI: the asks that you have of your technical departments. So if you go to them and say, Hey, I just want AI,
Maddie Bell @SchedulerAI: I just want a computer. Okay, like, you kind of have a computer or the one you have is fine like. It’s not clear
Maddie Bell @SchedulerAI: if you go to them and say I am wasting this much time doing this task.
Maddie Bell @SchedulerAI: This is what I need to do that task faster.
Maddie Bell @SchedulerAI: I know that Gpt 4 can do it, but I recognize you may want a different solution, because there might be one that’s more secure. You might want to handle it differently. How do I get that done?
Maddie Bell @SchedulerAI: That’s the impactful conversation to have so understand what the tool is capable of.
Maddie Bell @SchedulerAI: So you can link that to what you’re trying to do from a business standpoint and take that conversation to your. It
Maddie Bell @SchedulerAI: is how I would do it.
Maddie Bell @SchedulerAI: or talk to a vendor like me and introduce us to your it.
Maddie Bell @SchedulerAI: and then we will do it.
Nathan Stubina: You’re touching on a an interesting point about, you know, innovation and mining. So from from your experience with Scheduler, AI, and and with Tng. So if you go to the It people, they might understand what you’re trying to do, but they might not have the power to implement it at a big company. And if you go to, let’s say the CEO.
Nathan Stubina: He might like it, or she might like it. It’s like, Oh, blinking light, you know. AI, I want that, but might not have you know the technical background to understand what they want or don’t want. So so do you have greater traction going to the It people or going to the senior management.
I would say, if you are not senior in your company, going to the senior management, for sure, because at the end of the day most it folks. Their job is to vet technology.
Maddie Bell @SchedulerAI: That the business has named a priority. And so it goes back to
Maddie Bell @SchedulerAI: solving a business problem by saying, look, my team can save X amount of hours per week by not having to do this anymore. That’s real. That’s material. This is how much money I’m gonna be able to, you know, from a productivity standpoint, from a more revenue standpoint, whatever you want it to be. This is what I’m gonna be able to do if you give me this tool, and then taking that to the right person to have them say, Okay.
Maddie Bell @SchedulerAI: let’s have it. Now go
Maddie Bell @SchedulerAI: identify a solution. And then that’s really their job. And again, guys, I hope what you take away from this conversation is that’s not that different than what it was before a I right, their job was to vet software that helps fuel the business.
Maddie Bell @SchedulerAI: it’s just you guys pushing more on what you need with a new expectation on what you could have.
So is the trick to start small, like, you know. For example.
Nathan Stubina: you know, we could try it with scheduling meetings. We could try it, you know, with with improving meetings, and then once you get used to it, like the puppy. Analogy sort of then it’s like, Oh, let’s try it here, or can it do this? So so is the idea. Just the
Nathan Stubina: start and and try it and get some successes.
Maddie Bell @SchedulerAI: I like pushing
Maddie Bell @SchedulerAI: small workflow big impact.
Maddie Bell @SchedulerAI: So you should expect transformational leverage.
Maddie Bell @SchedulerAI: When you implement AI
Maddie Bell @SchedulerAI: like you should literally expect it to be able to listen to you blabber on for 5 min and then turn it into a perfectly organized memo based on your company’s template in 30 s.
Maddie Bell @SchedulerAI: But that work flow that you put into it
Maddie Bell @SchedulerAI: took me 5 min to talk to. It should be small.
Maddie Bell @SchedulerAI: The impact should be disproportionately large.
Maddie Bell @SchedulerAI: Those are the ones I like to see people getting started with, because then they get that satisfaction of man. All I had to do was write an email, and it scheduled a meeting
Maddie Bell @SchedulerAI: that was amazing. I didn’t have to do all the 9 other emails and blah blah, blah, blah blah
Maddie Bell @SchedulerAI: and then you just keep building off of that. So I don’t think you have to change every workflow in every system for every person. I think you change one little thing
Maddie Bell @SchedulerAI: to try to get one big output and start there. Just my own personal, I think.
Cheryl Hart: Yeah, I thought for us, like in mining, I don’t know if anyone seen this on, they do do it on social media where they have international mindsight. Everybody, we having a video of seeing how the production is going, how the trucks are being loaded and everything, and then you’ll have the engineers worked in operations. Say, no, no, the trucks in this place, diggers in the wrong spot. They’re too high. They’re too low. So it’d be kind of cool to be able to like, take videos of production.
Cheryl Hart: put it in and then say, optimize this like video based instead of pictures. You know. I that would be really cool. I think we got to to that, just taking our existing workflows that we do all day. It’s almost like a robot watching us and saying, Okay, pumping out. If you sat here this would be better. You know, II know we do that. We I used to be in dental. That’s why also recognize, you know, connect there, we would always say the dentist has to have
Cheryl Hart: 2 chairs open, so that when you cleaned one patient you got you’re jumping in the other rooms already open and available. So then why do you set up practices in certain ways. And I was thinking on the production side for mine using if you could video that and say, Hey, here’s your optimization in each of the segment after it watches the flow. Other. That’d be pretty cool.
Nathan Stubina: Yeah, that’s an interesting thing. II think, if people were able to watch, you know 5 trucks standing there waiting there for an hour to for the shovel, like they would ask the questions of, Why are you doing that? Isn’t there a better way to do it, whereas, you know, if the mines in the middle of the Andes, and nobody ever gets to see what goes on there.
Nathan Stubina: it’s just the way it’s always been done. So yeah, I like that
Cheryl Hart: on supply chains. Even. So there you go, Maddie. There’s something for you. We have, you know, supply chains. What’s happening around the world? How do we get, you know, just almost like the just in time planning that we had in the car manufacturing, scheduling when we could get. You know, the commodities in the right place right time. We know where they’re happening. II think a fair bit of that’s happening already. Someone had mentioned on production.
You know, Geo-tab is one of the companies on fleet management software. We already know when the truck is going to be needed to go in to get its tires, change those kind of things.
Cheryl Hart: So really kind of ramping it up on a on a greater scale on supply would be, in my mind, pretty cool.
Maddie Bell @SchedulerAI: Yeah. And I think that’s the power of training the core mechanism.
Maddie Bell @SchedulerAI: like, if the core mechanism is managing time and time slots. Then you can apply it eventually to anything.
Maddie Bell @SchedulerAI: but yeah, I mean, and hopefully, guys like, you know, again. my goal here today was to to share
Maddie Bell @SchedulerAI: something useful. More for you guys than for me. So hopefully.
Maddie Bell @SchedulerAI: you guys are gonna be great.
Nathan Stubina: So before I do. My, thank you is Maddie. Is there? Is there anything we didn’t talk about? Anything? We didn’t ask that that you wanted to leave us to to think about or leave some some tidbits for the audience.
Maddie Bell @SchedulerAI: No, I mean, I think you know.
Maddie Bell @SchedulerAI: AI will have a transformational impact on how
Maddie Bell @SchedulerAI: people use technology. The quote is, we will go from point and click
Maddie Bell @SchedulerAI: to describe and done. That is the world your children will be in. They will not clicky clicky
Maddie Bell @SchedulerAI: any more. They will be giving instructions.
Maddie Bell @SchedulerAI: and AI will be integrating those instructions and executing their workflows for them.
Maddie Bell @SchedulerAI: And so, you know, be a part of that journey. Big, small, curious, not it feels
Maddie Bell @SchedulerAI: very foreign to people right now, because it feels like it came out of nowhere.
Maddie Bell @SchedulerAI: It didn’t open a I took 7, I think, 8 years to build.
Maddie Bell @SchedulerAI: and no one cared till it was good sucked for 7 to 8 years. Terrible
Maddie Bell @SchedulerAI: to everyone else it it felt like it was like, Whoa! Where did this come from? And so there’s that excitement. There’s that fear. There’s that. Is it gonna happen again?
Maddie Bell @SchedulerAI: and every time you’ve had a big technological breakthrough, the same thing has happened right? The Bible is translated. It’s not in Latin anymore. Like, I mean, there’s real things like this that that feel very, very different because they are. And they’re going to have a big impact. But
Maddie Bell @SchedulerAI: it’s not magic.
Maddie Bell @SchedulerAI: It’s not fundamentally a new human right? It is
Maddie Bell @SchedulerAI: a technology. So I just encourage you guys to
Maddie Bell @SchedulerAI: engage with it. Try it and just think about it as the next thing that like, yeah, this is how people are gonna do work
Maddie Bell @SchedulerAI: 1520 years from now. and we’re gonna look back one day and be like, remember when?
Nathan Stubina: Well, it’s perfect. It’s perfect for mining. So you know, instead of using equipment from a hundred years ago, we’re in the same playing field as everyone else. This is new. And why should mining be? Have it just as accessible? It’s accessible as everyone else on the planet, and my name could jump on it and be at the same level field as everyone else.
Nathan Stubina: So, Cheryl Hart, thank you. You’re our resident Guru on connectivity.
Nathan Stubina: John Smith, you’re a resident expert on all things innovative. And Maddie Bell, thank you so much. The hour just move by for me. Lots of tidbits for us, and of course, to the audience we’re always engaging, and and had a lot of things in the chat room Cheryl. Let’s save the chat. So we, Maddie, you probably didn’t have time to look through it. But you’ll you’ll see what the audience was was thinking, and if you have any follow up for Maddie. Just just go to the website and a ask our expert
Nathan Stubina: and to the smart enough institute which put on the platform for this show. So to the audience and to all the Co. Host. Thank you so much, and especially to you, Maddie, for taking the time to talk to us today?
Maddie Bell @SchedulerAI: Yeah. And if people have follow up questions, I’m on Linkedin, and if I have a chance I’ll answer them. Whatever’s on your mind is totally fine.
Cheryl Hart: Thank you. Thanks everyone.
Beneath the Surface: How AI Is Reshaping Innovation
The Subtle Ways AI Is Already Making Your Daily Life Easier
Join us for a thought-provoking webinar featuring Maddie Bell, co-founder of Scheduler AI, as she explores the profound impact of AI on innovation within the business world. While Scheduler AI is her brainchild, this session will broaden the conversation to showcase how AI tools, including Scheduler AI, are catalyzing innovation across various industries.
Maddie Bell is the CEO and Co-Founder of Scheduler AI, a patented AI assistant designed to help businesses transform scheduling drain into revenue gain through effortless AI scheduling. Prior to beginning life as an entrepreneur Maddie spent 12 years leading the world’s largest brands at Procter & Gamble. Maddie and her Co-Founder Mike have been together for 20 years and adore raising their three young daughters (Kate 5, Paige 3, Emily 1).
Maddie Bell shares real-world examples of companies leveraging AI to disrupt traditional business models, spark creativity, and drive transformative change.
This session emphasizes:
- How AI transcends scheduling and is a driving force behind innovation
- It’s impact on product development, customer engagement, decision-making, and more
Learn how to strategically integrate AI into your innovation initiatives.
ASK US if you have questions or want to contact our hosts and speakers.