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Welcome to Milestone Moments, the show where

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we explore the journeys that lead to success.

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I'm Sheila Slick, your host and founder of Five

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Milestones. In every episode, we will bring you

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insights from the minds of entrepreneurs, leaders

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and experts who will share not just their expertise,

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but the milestone moments that have reshaped

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their journeys and led to significant achievements.

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So if you're looking for motivation, you're in

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the right place. Subscribe now and discover the

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milestones that mark the path to success. Welcome

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to another episode of Milestone Moments in Business

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and Leadership. I'm Sheila Slick, your host.

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And today, my special guest from Japan is Annabelle

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Sugimoto. She is a multilingual AI consultant

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and educator. Annabelle holds a master's degree

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in linguistics and computer science, and she

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has many years of experience in AI and NLP. She

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uses her skills to bridge the gap between technical

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AI concepts and practical business solutions.

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Annabelle creates training initiatives and AI

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-driven strategies that empower businesses to

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embrace digital transformation. She basically

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makes artificial intelligence approachable for

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all. Welcome to the show, Annabelle. Thank you

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very much, Celia. Thank you for having me. Thank

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you for the very kind introduction. So I'm thrilled

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to actually be able to have you on the show and

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talk about... AI. So you have a master's degree

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in linguistics. Maybe you can help explain that

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to me. I totally understand that with computer

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science, you know, you have the ability to program.

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So how did you get to where you are today with

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AI if AI is still kind of new, right? It's just

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disrupting. Yeah, that's the thing. It's disrupting.

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growing very naturally but that's what I've tried

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to do I began studying linguistics and moved

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into computer science later in the degree and

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from there went into AI roles kind of basic things

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that connected linguistics and AI and moved from

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there trying to evolve with the skills I had

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so it's brought me to combining teaching experience

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with AI experience, some consulting experience,

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and now here I am consulting with AI. So linguistics,

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can you help me understand that? It's the study

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of languages. It's a very broad field. I was

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working in historical linguistics, actually,

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of Old English, Beowulf, that kind of thing.

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But I shifted. I felt like I wasn't moving forward

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there. The natural language processing really

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inspired me to move forward. So it's human language

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and now computer language, AI language, correct?

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Yes, exactly, and finding the middle ground.

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Now help me understand NLP. So NLP stands for

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natural language processing, and that's what

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the bridge is there. Human languages also helping

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computers to understand human languages and to

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thought back at us. OK, so now that I understand

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you're a pro with computers, but you also are

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a pro with human language. And today you're bridging

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that gap. So what are the top three challenges

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that you see? individuals, whether they're professionals

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or small businesses, are having with this adaptation

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to AI? So I'd say the top three ones involve

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misconceptions, really. So the idea that AI will

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replace jobs really frightens people. It puts

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them off trying to involve it in any way. When

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really it's there to enhance. What we do already

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to automate repetitive tasks and free up time

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for the important things like strategy, which

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small businesses really need to focus on. That's

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their focus as they grow. And AI can help free

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up time for that. Second, the idea that AI is

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only for big tech companies. It helps small businesses

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save time. And it increases efficiency, which

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is so important when you've not got huge groups

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of people to throw time and money at pointless

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tasks. And finally, the idea that you need a

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whole tech team to begin with AI. There are no

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code tools which exist. It's so accessible if

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you take the right approach. So the takeaway

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would be that small businesses can... Begin by

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finding small pain points and addressing those,

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finding some confidence with AI, and then growing

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and building on that. What are three solutions

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that someone should immediately implement in

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their business? Well, I'd say the first solution

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is about... bridging the AI literacy gap. What

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I do is not about turning everyone into a programmer.

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It's about helping people to understand what

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AI is and just getting a basic foundation in

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that. On a really simple level, what it is and

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what it does is a great first step. The next

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step would be to find what the pain points are.

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specifically within your team again that's something

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i help with in consultations finding out what

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are the repetitive tasks the time -consuming

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things and making an effort to find what tools

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you can find to making an effort to find which

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tools are necessary for your team and not pushing

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tech for the sake of it but finding the necessary

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items A final thing is beginning slowly. Sowing

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things in to companies across the board, automating

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everything. The biggest thing is that it's scary.

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If you're not comfortable with it, it's really

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off -putting and it can feel like jobs are being

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replaced and all of those big scary phrases that

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are out there across LinkedIn. No one's going

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to have a job in two years' time. It's just not

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true, but you need to get comfortable with it

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to understand that. What will happen if we don't

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get out of our comfort zones and begin to adapt

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some of these technologies in our businesses?

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And how quickly do we need to do so? Well, the

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timeline is beyond my expertise. Things change

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so quickly that it could be... Next week, it

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could be 10 years. No one really knows because

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things are exponentially changing and evolving.

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That's what you also need to do. Teams and businesses

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need to evolve with AI. And instead of fearing

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the change, using it as an opportunity to redefine

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what they do and what their roles are within

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the company. Finding the gap. where things can

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be used and applying AI. It's so necessary. And

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those repetitive tasks will be done by people

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who will feel like they're robots already. And

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it's not necessary. Those people doing unnecessary

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things can go off and really use their skills

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in unique ways. They won't be replaced in that

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sense. They won't lose a job entirely. So they

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really need to adapt. businesses can't just watch

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it happen. Industries are being completely changed

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and shifted. And you can't avoid that, unfortunately.

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I'm seeing it a lot being used in sales, right?

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We've got these automated bots that will reply

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on your behalf. Sometimes I do feel you're able

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to spot them, right? We're not there yet. Customer

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service. I normally am trying to talk to agent,

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talk to human agent, because they're not quite

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there yet. And so it becomes more frustrating

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from the end user. I have also seen it in accounting,

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where you no longer have to handwrite all of

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your invoices and your expenses. That can all

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be automated from the very moment that you send

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out. an estimate. And I've seen that workflow

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and that process and I've implemented some of

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these. But beyond that, what other examples can

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you give me where you think you can implement

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and take that step today simply by starting with

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this one task that you can automate? There are

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some really simple things depending on what you

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need within your team. Things like creating meeting

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notes, creating simple content for a web page

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or a social media. Small things that people without

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coding can just plug into ChatGPT or Gemini or

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Claude, some of these new things that are coming

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out and see what it splits out. I'd say another

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one which works very well is organizing the workflow.

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There are things like Zapier, which can help

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organize the workflow and sort out those repetitive

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tasks, which don't need any training at all.

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It's generative AI, but not in the same way people

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think necessarily. It's more about helping with

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workflow, being a tool that assists people. It's

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something that people can use rather than something

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which is affecting the people. I pronounce it

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Zapier, not Zapier. I'd have to look. Well, sincerely,

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you can probably correct me if I'm saying it

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wrong, but that's actually the first time I wanted

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to explore my first automation was setting up

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some zaps. The problem was that what I had wanted

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to do, the output required some tweaks. So instead

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of just saying, if this happens and that happens.

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I needed to then take a few steps to clean up

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the text before it happened. And those conditional

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statements that we learn back when we're in school

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in math, if this happens, then that happens,

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is part of being able to use these apps. And

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I don't know if it's not in your comfort zone,

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what would you say would be a good tool? to start

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getting comfortable using software like Zapier.

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That is the thing. The reason people like me

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exist is partly to introduce AI and introduce

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some of those concepts of conditional formatting

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and how to phrase what you want to get the right

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thing back. Putting in the props is... It's something

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humans need to do. It's why there needs to be

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someone on this end. But it's really important

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and has a big effect on what comes out at the

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end of it. And a little bit of training or research

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into how they work and in which areas the AI

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is a little bit stupid, basically. It's not as...

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genius as people would make out. It's a little

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bit stupid. You need to help it out a little

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bit. First things, how it wants to hear it. I

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agree. I describe it like a calculator. We can

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give you a scientific calculator. We can give

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you a 99 set calculator, but the output's only

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going to be as good as the input. If you put

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two plus two, but you meant to put in two times

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two, you're going to get two completely different

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answers. And it's fascinating when I see, you

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know, how people put in different prompts. So

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even though you can tell the chat GPT you're

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going to act like my teacher or my consultant,

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answer these questions, it really doesn't dig

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down because it doesn't know a lot of the terminology

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perhaps that that professional has. So I think

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we still have that advantage. You know, that

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output will really depend on the quality of the

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input. Yeah, that's really important. I've written

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a couple of blog posts on my website to do with

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different types of fonts and how they can achieve

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different things. And it's really interesting

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to look into. It's fascinating. The same as talking

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to a person in the sense that if you phrase something

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just a little bit differently. they'll come out

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with a different answer. So before we wrap this

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up, can you think of three AI concepts that we

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should all be familiar with? Maybe those intro

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concepts that you introduced to the people that

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you help? Okay, so if we begin with pinpointing

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the repetitive tasks, it's a really important

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place to start finding areas that are really

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prime for automation. Then, as I mentioned earlier,

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the idea of starting small and expanding just

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in one small area, like the meeting notes or

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content creation, to get comfortable. And then

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investing in literacy is a first step that it

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takes some impetus to decide that it's important.

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But investing to help the business and the team

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members understand and get some confidence. and

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apply the AI strategically. So what is your next

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milestone? Well, you've been focusing on self

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-leadership in this series. And in terms of self

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-leadership, what I've been doing recently is

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just stopping and saying, I'm doing something

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I really enjoy, and I can continue with the way

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I'm working now. So I'm enjoying just continuing

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to bridge the gap between... AI and businesses.

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And the next goal is expanding on that consulting

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work, making AI literacy accessible for businesses

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of all sizes. And I've been exploring developing

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some structured technical training programs,

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but that's in the works. I prefer working more

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in a more niche way, individual to the teams.

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Yes, I have been focusing a lot on the self -leadership.

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So throughout my life, I feel that at different

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phases, different stages of my life, I've done

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complete transformations. Whether it's been in

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an industry, as an entrepreneur, I have worked

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in three or four different industries. And I

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even learned how to code at 36. And I didn't

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go back to school to learn coding, but I certainly

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was hitting myself over the head because I thought,

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wow, I did business. We've been entrepreneurs

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for over four generations. That's what I knew.

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But maybe I should have studied the future, which

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was computer science. But sometimes you can say

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you don't know what you don't know. And that

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ignited a fire in me to leverage technology.

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That's why I absolutely. love what you're doing

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with the education because when you're able to

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simplify these complex topics, you're really

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empowering people to not fear that technology

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and to say, yeah, I can do it. It's in my control.

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I can grasp the AI. I just don't know where it's

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going to be in 10 years and what I need to do

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to prepare for it. And so self -leadership means

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that Instead of letting the external forces forge

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your new path, that it's within you. You're able

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to control your life and do what you need to

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do to make sure that you stay relevant. And that

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is personally, professionally, and in business.

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So with the self -leadership, I myself have been

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for a few months revisiting. everything I've

00:18:22.940 --> 00:18:27.200
done, bringing my pillars together. And I really

00:18:27.200 --> 00:18:31.819
think that in these unprecedented times of change,

00:18:32.220 --> 00:18:35.019
that we're going to have to lead ourselves first

00:18:35.019 --> 00:18:38.900
and better, not only to just survive, but to

00:18:38.900 --> 00:18:43.940
thrive. Yeah. Yeah, absolutely. And it sounds

00:18:43.940 --> 00:18:46.740
like you're coming from a great place of understanding

00:18:46.740 --> 00:18:50.400
concept. It's the same as what I did. I began

00:18:50.400 --> 00:18:54.299
working in a corporate role with AI. And every

00:18:54.299 --> 00:18:56.579
few months I was told, no, you need to make this

00:18:56.579 --> 00:18:58.980
in a different language. No, this needs to be

00:18:58.980 --> 00:19:02.019
adapted and we don't have the money for it. So

00:19:02.019 --> 00:19:07.059
go to the higher ups and explain in depth what

00:19:07.059 --> 00:19:09.880
this precise tool does and try to get them to

00:19:09.880 --> 00:19:15.140
give us money to work more on it. And half the

00:19:15.140 --> 00:19:17.559
time I just didn't understand what I was doing.

00:19:17.640 --> 00:19:21.420
I was putting in... words and numbers and hoping

00:19:21.420 --> 00:19:26.299
I got the right thing out. It was working on

00:19:26.299 --> 00:19:30.880
a surface level, but it just went so quickly

00:19:30.880 --> 00:19:33.859
and changed too much that I felt the really important

00:19:33.859 --> 00:19:37.279
thing was that if everyone just knew the basic

00:19:37.279 --> 00:19:40.339
concepts of AI, we could communicate between

00:19:40.339 --> 00:19:44.180
the tech teams and the higher -ups. The professionals

00:19:44.180 --> 00:19:46.680
in the boardroom would know what's going on.

00:19:46.740 --> 00:19:49.599
Everyone could understand each other. And then

00:19:49.599 --> 00:19:52.779
it's for programmers still to do the programming,

00:19:52.940 --> 00:19:55.500
but everyone can have a good discussion around

00:19:55.500 --> 00:19:58.940
it. And people in different departments don't

00:19:58.940 --> 00:20:01.359
need to understand everything. But if they have

00:20:01.359 --> 00:20:03.579
the concepts, then it can really help everyone

00:20:03.579 --> 00:20:07.740
thrive. You offer your workshops and your training

00:20:07.740 --> 00:20:13.400
online so people can connect with you. I work

00:20:13.400 --> 00:20:17.769
almost exclusively online. But platforms like

00:20:17.769 --> 00:20:20.950
Zoom or Google Meets or Microsoft Teams, any

00:20:20.950 --> 00:20:23.470
of these different platforms, whatever works

00:20:23.470 --> 00:20:27.170
best. And you can book a consultation on my website

00:20:27.170 --> 00:20:30.509
if you're curious about, hey, how AI can help

00:20:30.509 --> 00:20:34.109
your team. Initial consultations are important.

00:20:34.269 --> 00:20:36.390
It's the first step. And they're right there

00:20:36.390 --> 00:20:40.019
on my website. I will leave your website information

00:20:40.019 --> 00:20:43.079
in the description so that anyone that wants

00:20:43.079 --> 00:20:47.539
to reach out to Annabelle can do so. And I want

00:20:47.539 --> 00:20:49.440
to thank you, Annabelle, for joining me today

00:20:49.440 --> 00:20:53.460
and taking time out of your day or night to help

00:20:53.460 --> 00:20:58.099
educate us on the concepts of AI. Thank you.

00:20:58.119 --> 00:20:59.980
Thank you very much for having me. It's an honor

00:20:59.980 --> 00:21:02.980
to be on. And thank you all for tuning in to

00:21:02.980 --> 00:21:06.059
another episode of Milestone Moments in Business

00:21:06.059 --> 00:21:09.710
and Leadership. And my key takeaway out of this

00:21:09.710 --> 00:21:12.430
episode is embrace change.
