there was a time when I worked
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as this translator at this company and I realized
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from different sources that I earn much less
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than my male colleagues
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so I got very angry
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and I went to my manager I mean I prepared for
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seven days probably I don't remember
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but it took me of course a lot of courage to go to him but I told him
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that I
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translate three languages
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whereas I have colleagues who do only two
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and I still earn less than them
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so how is that and I want a raise
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and I remember his super surprised face like
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no understanding in his eyes like not none whatsoever
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he was looking at me and like what
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that's not true you earn even a bit more or or equally
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like Marta Kasia Klara and
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and I was like yeah but I'm not talking about the women
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I'm talking about the men like Tomek Przemek Maciek
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you know I I started naming my male colleagues
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and his surprise was like it was real he was really
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surprised that a woman came into his office
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and dared to compare herself to men
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although I had higher qualifications
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higher more skills more language skills
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but he was so surprised that he gave me this raise
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because for him it was
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I think for the first time he realized oh maybe women
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shouldn't earn less it was like he was thinking
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in two different categories like women workers
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employees
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and men employees and that was like different
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different categories
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so when I jumped in in his head in this
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in this male category it was he was very confused
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but he gave me that raise
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hello dear listeners today my first episode
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internationally so directly recording in English
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I'm very happy to have Dorota with me
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uh Dorota and Paloma at the same time
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so maybe Dorota can explain
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uh why I'm already thinking
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uh about Paloma not only about the water oh
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yeah OK
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first of all happy to be here thank you so much for
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inviting me I'm always in
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with such initiatives that support women
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uh and why why you're thinking
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of Paloma many people think of Paloma
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when they see me or hear of me they even confuse
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the names Paloma is the name of my AI Avatar
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she's my AI twin she looks like me she speaks
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a bit like me although
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she's getting more and more British now but
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I don't know I think she
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she thinks that she's smart she
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she um seems smarter when she
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speaks British so that's the reason probably
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uh anyway yes so she's my she's my AI twin
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yeah for our listeners um
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would you introduce you maybe not only on AI level
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but on on your personal level
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a bit so that we get to know you a bit and then
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sure
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um I'm Dorota Mleczko I am Polish I grew up in Germany
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bilingually and um
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I lived then for a long time I studied in Poland um and
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I was not a woman in tech
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for a very long time because I was a linguist
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I speak many languages
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and I was a translator and then I became a
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linguistic project manager
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and at some point I decided to switch to it
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and that is how
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after some years I became an agile coach
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and I loved that and some at some point
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two years ago I realized that I cannot
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be an adult coach and help improve processes
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while ignoring this whole new technology that is AI
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that um that
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that is the technology to improve processes
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the perfect one so I started
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learning I started exploring
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and then I started teaching
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and that happened over a year ago I started
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being an AI trainer and AI consultant
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and then at some point I had to
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decide whether I want to keep
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being both as a coach and AI trainer
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it was too much so I
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decided to go full into AI AI training AI consulting
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and that is already
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7 8 months that I do only that so full time AI now
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that's very interesting
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so you discovered it or tech or AI quite quite um
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quite late in your career yes um that's true
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how comes did you have I don't know like
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uh inspiration from outside or mentors or something
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um how did you
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decide to get more into it or tech or AI
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yeah I wish I had
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mentors I don't I didn't really I just felt I
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have to do something about my career because
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the translation industry was very rough back then
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I cannot imagine what's happening to it now with AI but
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back then already it was very rough very difficult
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and I wanted to change industry
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and I wanted to change it to tech because I was always
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interested in it
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but it was only that and it
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it took a lot of courage because I didn't really
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it was hard for me to believe oh and I
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I think I didn't tell you that but when I was leaving
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the company the translation company
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I told my boss and he said well what
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where are you going
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what will you do I I said I'm going to it and he said
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he looked at me and he said the last words
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I heard from him were you will never make it in it
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so that's the mentor
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if you're asking for mentors I didn't have them
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that's the
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support that I got so so bad Idol yeah I guess uh
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yeah
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it's good that you made it anyways
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yeah I sometimes remind myself
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granted yeah I would like to call him
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discourage yeah
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say hello from me and from all our listeners
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ha ha I will thank you yeah maybe maybe uh
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even from Paloma that would be cool that
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oh yeah I let Paloma talk
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yeah yeah yeah she's like very make a record make a
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record of it
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I guess it would be oh yeah that's a good great idea
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you're very pity that that you had uh
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such discourage uh by
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by men by managers in in the past
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okay so you
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decided on your own that technology would be very
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interesting and your uh
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first fields of of uh languages
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did you have uh idols there or
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you just said yeah speaking like what
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7 languages now is just why not or how comes
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well like um I think it's it's I developed
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naturally into this language industry
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because of growing up bilingual because of loving
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I think that started it that I loved
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learning languages all my life so I Learned
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I started learning English when I was 10
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although I wanted
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earlier I asked my parents but they said no no in the
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in when you will be 10 there will be English
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in the fifth grade in Germany
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so English and then in the 7th grade French
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and then it's just went from there so I studied
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German later in Poland but also Russian
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for several years and then I also of course Latin
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was always there somewhere
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well not of course but in Germany you learn Latin
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you can learn Latin as the third language
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and then in in in the gymnasium in the gymnasium
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and then in when I
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when I was studying linguistics of German
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philology there was also Latin
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so that's another language
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what more oh and now I live in Italy
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so I need to learn Italian so I'm learning Italian now
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my third fourth year here
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so that's the seventh language that I'm learning
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and so languages
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were there all the time it didn't come from
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well what maybe this um
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yeah I had this um I I had there was a girl that
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spoke so many languages and she was only I think eleven
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because she grew up internationally
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her father was Scottish her mother was Icelandic
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and she lived in Aachen
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or they lived in Belgium but they came because
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you know Aachen is like right at the at the border of
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Netherlands and and Belgium
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so she I think they lived in in Belgium
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but she went to school in Germany
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so she spoke German also and French because of Belgium
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and I think maybe she inspired me
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I thought oh I want to be like her
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but that was so so so much earlier that
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so languages were kind of naturally there and I think I
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I think that was a natural path to follow for me
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and between you always uh use technology or
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was it in the beginning of your career like languages and stuff
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a lot analogue or
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have you always been the the one I don't know
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doing scripts using PCs using a whatever technology or
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was it quite late that you know no we needed
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already being a in a localization company
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we needed to use
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sometimes 10 15 different tools per day
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because we had different customers um and different
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each customer had their own translation tools or they
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had their preferred
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translation tools they had their own systems
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so already in that company I became so um
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acquainted with all kinds of software
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I mean it was usually translation
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software but it was in different systems
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we had to have VPNs
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to log into the customer system sometimes
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sometimes it was something completely else
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sometimes it was Citrix sometimes it was
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I don't know I I was so I
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remember when I joined the service desk and
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someone told me an it service desk later later uh
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and my uh manager told me
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you know you will have to learn a lot of tools
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here sometimes
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three different tools or something like that
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and I I I said yeah that's nothing it's fine
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so it was kind of yeah all all my
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career I needed to adjust to technological changes
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new tools learn tools every day
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so and I loved that part that was actually very
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yeah I liked it
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and uh getting to AI did you have to use it uh
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in your profession or did you just say oh wow there's a
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uh development outside of my
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of my job I want to learn it I want to integrate it or
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was there something in your former company that is
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that have a look on it uh please explore
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please explain it to us or
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no I wish or did you explore
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yeah yeah no that that wasn't I was um
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as I was an Angel coach at
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big corporation German
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Automotive Financial Corporation
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and there was no AI I mean
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not for us there were some projects going on but the
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um let's say that the normal
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worker did not have any a any contact with AI uh
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it was also a very strict very regulated environment
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because of the financial part of this company
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uh so many like there were only some tools allowed
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for the employees I was like an um
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an external employee that was different
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but um at work we were only supposed to use several
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strictly
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um established
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defined tools so there was no AI in the company
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it was me who realized
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that I want to learn that that is important
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and I had to do it in my personal life so first I did it like only for personal
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stuff and then I started
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building for example I build an assistant
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for adult coaching so I did not use internal company
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data but I could still get help for preparing
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for my work or doing preparing workshops or uh
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getting for example um advice on difficult situations
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as an agile coach or on process improvements
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so I started building my my assistance already then
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and I I also well started
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kind of introducing it and at some point I Learned that chat
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GPT is allowed
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if you if you use it there is no company um license
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but if you want to use it it's allowed just no
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internal data so I built a
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a retrospective Rita Retro she was called
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an assistant a custom GPT that runs retrospect
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retro I like it
271
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do you have a public I would
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I would love to yes I can I can I have to
273
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check her she's old so I have I have to update her
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with the newest models I guess you do so we could
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put that in the show notes I guess
276
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okay I could use it for my project also that's yes
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Rita Retro she's she's built to run retro you know
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naming is
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is very important Rita Retro is is nice it's very nice
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okay good right I'm glad you like it you should
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may I don't know
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whether it's still possible to have like GPT's
283
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to monetize I guess it's over or all of free or
284
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are there assistants GPT's that that you can monetize
285
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I don't know I think they are
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they are free in the store but yeah
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I mean you can find a way at least at least
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as lead magnets you can use them so
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you should you should
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I I'm trying I have I have Peter prompt
291
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he writes prompts
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for you so if you
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don't so that you don't have to and I have Anna Architect
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she built helps you write instructions
295
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for custom GPT's
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and other AI assistants like Claude Projects
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Gemini Gems so I have a few of them
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that that are public
299
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I can give you the links later
300
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yeah that's very cool I guess
301
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nice very nice
302
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and um
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looking back what would you change in your career
304
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you already mentioned to be
305
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earlier in in tech um but do you have like concrete
306
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dedicated stuff that you would point out or
307
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would have done otherwise
308
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yeah so definitely
309
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like I said I think I said it before the recording
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that I I would have changed I would have switched to
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it much earlier
312
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because I just didn't think that I could
313
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I didn't believe in myself enough to do that
314
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it took 10 years to start believing that and
315
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I would have done that earlier and yeah
316
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if I could like talk to myself back then now
317
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I would say just just have the courage to explore even
318
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to to also to
319
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to follow what what you feel you you like doing
320
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I I felt already that I like the tech
321
00:15:47,566 --> 00:15:50,133
stuff my parents always said it that I'm like this
322
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actually my father always told me I should
323
00:15:52,566 --> 00:15:54,300
study tech stuff and I didn't even
324
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know what what he meant like why I'm a linguist what
325
00:15:57,800 --> 00:16:00,466
I was born he knew you very well right you know he knew
326
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he knew me yeah he's not he's not alive anymore
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but he was the one who told me and back then it was such a
328
00:16:05,600 --> 00:16:07,766
such an abstract thing to say to me
329
00:16:08,200 --> 00:16:11,300
but I always liked it I always liked like the um
330
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informatic in in school and
331
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it was it was always something that I liked so
332
00:16:17,033 --> 00:16:17,966
maybe I would have
333
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become a developer because I don't write code I
334
00:16:20,800 --> 00:16:22,000
I only vibe code
335
00:16:22,100 --> 00:16:25,766
I still don't know how to write code I would love to
336
00:16:25,966 --> 00:16:28,233
but well it never happened for me
337
00:16:28,233 --> 00:16:32,433
so I'm a non technical woman in tech but maybe
338
00:16:32,433 --> 00:16:35,666
if I started earlier I would have Learned also more
339
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yeah deeper technical stuff like writing code
340
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software development
341
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who knows so I would have I would have
342
00:16:43,366 --> 00:16:45,566
wanted to have more courage and
343
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believe in myself and much less imposter syndrome
344
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yeah
345
00:16:52,800 --> 00:16:54,866
it's a big issue for all
346
00:16:54,866 --> 00:16:58,700
uh all guests so far here in the podcast I guess it's
347
00:16:58,866 --> 00:17:02,166
it's really an issue with with a lot of women
348
00:17:02,433 --> 00:17:06,666
despite their so experience they have so so many
349
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languages if you want to share um
350
00:17:10,166 --> 00:17:12,766
the little story that you mentioned in our
351
00:17:13,000 --> 00:17:17,133
talk before so with your with your manager and um
352
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the language that you spoke and the man
353
00:17:20,166 --> 00:17:22,300
spoke I guess that would be very interesting
354
00:17:22,300 --> 00:17:24,366
because you took a lot of courage then
355
00:17:25,166 --> 00:17:26,133
ah yes so
356
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there was a time when I worked
357
00:17:28,200 --> 00:17:32,666
as this translator this company and I realized
358
00:17:32,666 --> 00:17:36,166
from different sources that I earn much less
359
00:17:36,200 --> 00:17:37,766
than my male colleagues
360
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so I got very angry
361
00:17:40,200 --> 00:17:43,666
and I went to my manager I mean I prepared for
362
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seven days probably I don't remember
363
00:17:46,033 --> 00:17:48,000
but it took me of course a lot of courage
364
00:17:48,000 --> 00:17:51,933
to go to him but I told him that I
365
00:17:52,266 --> 00:17:53,866
translate three languages
366
00:17:53,866 --> 00:17:56,133
whereas I have colleagues who do only two
367
00:17:56,366 --> 00:17:58,733
and I still earn less than them
368
00:17:58,933 --> 00:18:01,166
so how is that and I want a raise
369
00:18:01,833 --> 00:18:05,800
and I remember his super surprised face like
370
00:18:06,100 --> 00:18:09,366
no understanding in his eyes like not none none so ever
371
00:18:09,466 --> 00:18:11,566
he was looking at me and like what
372
00:18:11,566 --> 00:18:15,600
that's not true you earn even a bit more or or
373
00:18:15,600 --> 00:18:21,533
equally like Marta Kasha Clara and
374
00:18:21,766 --> 00:18:25,400
and I was like yeah but I'm not talking about the women
375
00:18:25,566 --> 00:18:29,300
I'm talking about the men like Tomek Przemek Matek
376
00:18:29,700 --> 00:18:34,700
you know I I started naming my male colleagues
377
00:18:35,266 --> 00:18:39,400
and his surprise was like it was real he was really
378
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surprised that a woman
379
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came into his office and dared to compare herself
380
00:18:43,466 --> 00:18:47,100
to men although I had higher qualifications
381
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higher more skills more language skills
382
00:18:49,866 --> 00:18:52,233
but he was so surprised that he gave me this raise
383
00:18:52,233 --> 00:18:53,600
because for him it was
384
00:18:54,400 --> 00:18:57,400
I think for the first time he realized oh maybe women
385
00:18:57,966 --> 00:19:00,766
shouldn't earn less it was like he was thinking
386
00:19:00,766 --> 00:19:04,066
in two different categories like women workers
387
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employees
388
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and men employees and that was like different
389
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different categories
390
00:19:10,600 --> 00:19:12,900
so when I jumped in his head in this
391
00:19:12,900 --> 00:19:15,933
in this male category it was he was very confused
392
00:19:16,100 --> 00:19:17,333
but he gave me that raise
393
00:19:17,333 --> 00:19:19,633
so but that's the same boss that later
394
00:19:19,633 --> 00:19:22,000
told me you will never make it in it so
395
00:19:23,100 --> 00:19:24,433
yeah congrats to your
396
00:19:24,433 --> 00:19:28,000
to your courage and congrats that you made it and uh
397
00:19:28,000 --> 00:19:32,266
for all for all the listeners yeah be brave negotiate
398
00:19:32,600 --> 00:19:33,966
because if you don't ask you
399
00:19:34,233 --> 00:19:36,133
most probably will not get
400
00:19:36,566 --> 00:19:40,966
raise at all or not as high as you would wish to
401
00:19:41,100 --> 00:19:44,266
speak up or or what additional advice would you give
402
00:19:44,300 --> 00:19:45,300
for that
403
00:19:46,233 --> 00:19:47,500
from that experience
404
00:19:48,100 --> 00:19:50,800
yeah that's a good good question um
405
00:19:51,800 --> 00:19:55,133
so in in general I I tell women now
406
00:19:55,200 --> 00:19:57,200
that it's our time now
407
00:19:57,466 --> 00:19:59,433
we have to like give up all these
408
00:19:59,433 --> 00:20:01,700
I mean it's it's not easy I know
409
00:20:01,700 --> 00:20:04,100
believe me I know giving up imposter syndrome
410
00:20:04,100 --> 00:20:06,400
giving up doubting yourself and
411
00:20:06,466 --> 00:20:08,033
listening to these bosses
412
00:20:08,033 --> 00:20:11,466
that tell you you will never make it and in general
413
00:20:11,800 --> 00:20:15,300
give it all up because that is now is the the moment
414
00:20:15,300 --> 00:20:18,666
where we can really lead something we can get
415
00:20:18,666 --> 00:20:20,833
we can jump on this technological revolution
416
00:20:20,833 --> 00:20:21,866
that is happening
417
00:20:21,966 --> 00:20:24,666
we can be part of it and we can even lead it
418
00:20:24,666 --> 00:20:28,800
we have the possibilities now because the last
419
00:20:28,866 --> 00:20:32,200
revolution this big that happened that was like 20
420
00:20:32,200 --> 00:20:33,300
or even 30 years
421
00:20:33,300 --> 00:20:36,400
ago the internet revolution I would compare it because
422
00:20:36,666 --> 00:20:38,500
the internet also changed our lives
423
00:20:38,866 --> 00:20:41,600
changed not only the way we work but
424
00:20:42,200 --> 00:20:45,900
that changed everything for us our lives now
425
00:20:45,900 --> 00:20:49,500
this is something similar maybe even more scary more
426
00:20:49,700 --> 00:20:53,133
like yeah more maybe even more impactful
427
00:20:53,466 --> 00:20:56,866
and back then we couldn't be part of it us women
428
00:20:57,000 --> 00:21:01,866
we were like maybe 13% I think of um
429
00:21:01,866 --> 00:21:04,900
leadership roles in tech companies were held by women
430
00:21:05,166 --> 00:21:08,466
now I'm not saying it's much better because I think it's 25
431
00:21:08,466 --> 00:21:10,266
but it's still it's progress
432
00:21:10,433 --> 00:21:13,033
and we can now if we have if we find the courage
433
00:21:13,033 --> 00:21:15,400
I think currently the problem is mostly
434
00:21:15,666 --> 00:21:19,466
not even men not wanting us to have a career
435
00:21:19,600 --> 00:21:22,466
but more us not believing in ourselves
436
00:21:22,600 --> 00:21:25,166
so I'm telling women all over now that
437
00:21:25,166 --> 00:21:27,666
this is the time because we're good in AI
438
00:21:27,666 --> 00:21:29,000
even if you're not
439
00:21:29,500 --> 00:21:32,766
a programmer a very technological person
440
00:21:32,966 --> 00:21:35,633
AI is a lot about communication
441
00:21:35,633 --> 00:21:37,666
about emotional intelligence
442
00:21:38,000 --> 00:21:40,433
because models need to be trained for example
443
00:21:40,433 --> 00:21:42,800
to be emotionally intelligent otherwise
444
00:21:43,000 --> 00:21:45,266
humans will not be able to chat with them
445
00:21:45,400 --> 00:21:47,400
and this is where women shine
446
00:21:47,566 --> 00:21:50,066
I mean we're naturally born with these skills
447
00:21:50,066 --> 00:21:52,933
often times of course I'm generalizing a bit but
448
00:21:53,200 --> 00:21:56,100
we are now very important and we also are very good at
449
00:21:56,100 --> 00:21:59,100
leading transformation helping people through change
450
00:21:59,200 --> 00:22:03,700
with human centered approaches right that's
451
00:22:03,700 --> 00:22:06,866
that's where we shine so and now the world needs it
452
00:22:06,966 --> 00:22:10,700
so I tell women now always like come learn
453
00:22:10,700 --> 00:22:13,500
first learn AI learn what it is learn how it works
454
00:22:13,500 --> 00:22:15,300
and then combine it with your expertise
455
00:22:15,300 --> 00:22:17,166
that you already have whatever you're doing
456
00:22:17,233 --> 00:22:19,100
if you're a project manager
457
00:22:19,500 --> 00:22:22,100
combine it with AI and you will be a super expert
458
00:22:22,100 --> 00:22:23,300
if you are a
459
00:22:24,100 --> 00:22:26,500
I I don't know human human resources
460
00:22:26,500 --> 00:22:29,400
expert you can also combine that with AI and then it
461
00:22:29,400 --> 00:22:31,800
it's amazing so whoever
462
00:22:31,800 --> 00:22:33,700
whatever your expertise or even your passions
463
00:22:33,700 --> 00:22:36,900
your hobbies are if you combine that with AI
464
00:22:37,166 --> 00:22:39,600
then something great can come out of it
465
00:22:39,600 --> 00:22:42,500
and yeah so I encourage women now to
466
00:22:42,900 --> 00:22:45,600
jump on this and help lead
467
00:22:45,600 --> 00:22:49,266
even you know not only take part be part of it now
468
00:22:49,266 --> 00:22:52,266
not like then we weren't even part of it I would say
469
00:22:52,266 --> 00:22:54,366
now we can be part of it but we can also lead
470
00:22:54,366 --> 00:22:56,100
this transformation
471
00:22:56,166 --> 00:22:59,300
because humanity is undergoing a transformation now
472
00:22:59,300 --> 00:23:01,266
it's not only businesses anymore
473
00:23:01,400 --> 00:23:03,966
but it's whole humanity because AI is everywhere
474
00:23:03,966 --> 00:23:05,400
our children use it
475
00:23:06,400 --> 00:23:09,266
yeah so I get emotional
476
00:23:10,633 --> 00:23:11,200
that's good
477
00:23:11,200 --> 00:23:14,333
that's good it's a good call for for the women and
478
00:23:15,033 --> 00:23:17,666
yeah I still think about your career pass
479
00:23:18,000 --> 00:23:20,366
so a lot of people say that
480
00:23:20,366 --> 00:23:23,700
especially LLMs yeah they're a lot of linguistically
481
00:23:24,066 --> 00:23:26,566
do you know do you think that was your experience
482
00:23:26,566 --> 00:23:28,900
in languages that helped at the beginning
483
00:23:28,900 --> 00:23:31,266
or is it just coincidence you were
484
00:23:31,400 --> 00:23:33,366
just interested in technology and
485
00:23:33,366 --> 00:23:36,000
just evolved or do you think was your
486
00:23:36,000 --> 00:23:38,400
ability to learn to communicate
487
00:23:38,833 --> 00:23:40,500
it was always an advantage
488
00:23:40,500 --> 00:23:43,300
for you to use LMS and other AI
489
00:23:44,066 --> 00:23:46,100
that's a I never thought of that
490
00:23:46,766 --> 00:23:48,166
what's maybe yes
491
00:23:48,166 --> 00:23:51,700
maybe it made it easier for me to learn prompting
492
00:23:51,866 --> 00:23:53,766
cause prompting is about well
493
00:23:54,066 --> 00:23:55,566
it took me some time to realize
494
00:23:55,566 --> 00:23:58,966
that prompting is not a technical skill but
495
00:23:59,200 --> 00:24:00,533
a linguistic skill
496
00:24:00,800 --> 00:24:03,200
yeah communicate communication skill
497
00:24:03,400 --> 00:24:04,900
and once I realized that
498
00:24:04,900 --> 00:24:07,766
I became very good at it so yeah maybe
499
00:24:07,900 --> 00:24:10,733
maybe you're right maybe these 10 years
500
00:24:10,866 --> 00:24:13,466
of in the translation industry we're we're rusty
501
00:24:13,466 --> 00:24:16,533
yeah I guess yeah no it's yeah maybe yes
502
00:24:17,266 --> 00:24:20,500
yeah advantage yeah cool nice
503
00:24:21,266 --> 00:24:24,200
and um yeah now
504
00:24:24,466 --> 00:24:26,566
yeah of course now you combine everything
505
00:24:26,566 --> 00:24:27,866
you combine your
506
00:24:28,266 --> 00:24:31,666
language skills your drag skills and now
507
00:24:34,100 --> 00:24:36,300
yes it all kind of comes together
508
00:24:37,900 --> 00:24:38,900
that's true very cool
509
00:24:39,866 --> 00:24:41,533
and um
510
00:24:42,233 --> 00:24:45,800
also with with international with language skills
511
00:24:46,100 --> 00:24:50,933
did it help you later in the it field uh I'm working uh
512
00:24:51,166 --> 00:24:51,866
like hybrid
513
00:24:51,866 --> 00:24:54,733
so we have an international team at the moment
514
00:24:54,900 --> 00:24:56,600
I guess more and more tech companies
515
00:24:56,633 --> 00:25:01,000
do did it help you there also or do you think
516
00:25:01,666 --> 00:25:03,300
English would have
517
00:25:04,866 --> 00:25:07,266
being just enough or
518
00:25:07,266 --> 00:25:09,900
to have so many languages did it help you
519
00:25:10,400 --> 00:25:13,666
yes definitely it helped not only the languages
520
00:25:13,666 --> 00:25:15,166
because for example when I were
521
00:25:15,166 --> 00:25:18,766
when I have a call one on one with a German manager
522
00:25:18,766 --> 00:25:21,666
or a German product owner we always spoke German
523
00:25:21,666 --> 00:25:23,666
it was natural for example
524
00:25:23,666 --> 00:25:26,066
so that already felt for them maybe also
525
00:25:26,066 --> 00:25:28,100
better more comfortable that they are
526
00:25:28,100 --> 00:25:29,800
they were speaking their own language
527
00:25:29,966 --> 00:25:31,800
so maybe they trusted
528
00:25:31,800 --> 00:25:35,300
me more or you know it was easier to to get this bond
529
00:25:35,300 --> 00:25:37,500
that you need in order to
530
00:25:37,700 --> 00:25:41,766
support them as an agile coach um but also I think the
531
00:25:42,166 --> 00:25:45,333
understanding of different cultures so my international
532
00:25:45,400 --> 00:25:50,500
um upbringing let's say in Germany where yeah I
533
00:25:50,633 --> 00:25:52,433
I I I was
534
00:25:52,433 --> 00:25:56,166
in a classroom with many different people from all over the world
535
00:25:56,366 --> 00:25:58,766
that all grew up in Germany like me
536
00:25:58,966 --> 00:26:02,400
so that was already something that I felt was natural
537
00:26:02,400 --> 00:26:04,200
and later in life I was always seeking
538
00:26:04,200 --> 00:26:07,166
that also in in companies so I would not like I
539
00:26:07,166 --> 00:26:09,566
I worked for some time in a very Polish company
540
00:26:10,200 --> 00:26:15,333
um but in in a bank it was very nice but I missed this
541
00:26:15,400 --> 00:26:17,300
internationality so whenever there was an
542
00:26:17,300 --> 00:26:19,500
international project I just
543
00:26:19,700 --> 00:26:22,366
jumped on it and of course I got it because of the
544
00:26:22,366 --> 00:26:23,300
many languages
545
00:26:23,566 --> 00:26:27,633
so yes I definitely helped helped in the career German
546
00:26:27,633 --> 00:26:30,266
companies hired me because of the German language
547
00:26:30,866 --> 00:26:33,100
and although it was not the project
548
00:26:33,100 --> 00:26:35,600
language but still they wanted at least for example
549
00:26:35,600 --> 00:26:37,366
agile coaches or scrum masters they wanted
550
00:26:37,366 --> 00:26:39,833
them still to speak German to be able to communicate
551
00:26:39,833 --> 00:26:42,633
with all the departments where
552
00:26:42,633 --> 00:26:46,300
maybe English was not that popular yet or spoken yet
553
00:26:46,733 --> 00:26:49,600
and um but also the cultural
554
00:26:49,600 --> 00:26:51,433
understanding knowing how to
555
00:26:51,433 --> 00:26:54,700
let's say navigate it's a very AI word but navigate
556
00:26:55,400 --> 00:26:57,366
a very international environment
557
00:26:57,500 --> 00:26:59,666
well that that helped a lot in it
558
00:27:00,766 --> 00:27:05,700
so you lived and worked in Germany Poland now Italy
559
00:27:05,866 --> 00:27:07,066
are there more
560
00:27:07,700 --> 00:27:09,700
countries not yet
561
00:27:10,266 --> 00:27:13,300
no no these three come countries yes
562
00:27:13,500 --> 00:27:15,766
and Italy I've heard you uh
563
00:27:16,466 --> 00:27:17,766
you live in Geneva
564
00:27:17,766 --> 00:27:20,500
now never been there but I heard about nice mountains
565
00:27:20,500 --> 00:27:24,900
and and sea seems to very very nice so did you
566
00:27:24,900 --> 00:27:28,833
uh choose it for work or how comes or just it's so nice
567
00:27:28,833 --> 00:27:31,766
here I want to be there in the middle of Europe I want
568
00:27:32,100 --> 00:27:34,066
mountains and sea and all
569
00:27:34,166 --> 00:27:36,466
how comes that you have chosen the letter
570
00:27:36,466 --> 00:27:38,900
yes we just chose it because I work remotely
571
00:27:39,166 --> 00:27:43,666
and my boyfriend works let's say everywhere
572
00:27:43,666 --> 00:27:44,666
he can work remotely
573
00:27:44,666 --> 00:27:46,733
sometimes sometimes he has to be in Poland
574
00:27:47,200 --> 00:27:50,566
or sometimes in Iceland for example but it wasn't that
575
00:27:50,566 --> 00:27:53,800
that important where exactly we live for the jobs
576
00:27:54,100 --> 00:27:55,466
so we could choose
577
00:27:56,066 --> 00:27:58,100
um and when I saw
578
00:27:58,666 --> 00:28:02,666
Genova and I saw the sea and hear the mountains
579
00:28:03,233 --> 00:28:05,600
um it reminded me a bit not the mountains
580
00:28:05,600 --> 00:28:08,666
but it reminded me a bit of Gdansk where I
581
00:28:08,666 --> 00:28:12,266
lived most of my life in Poland and
582
00:28:13,200 --> 00:28:15,566
just just warm and with palm trees
583
00:28:16,266 --> 00:28:17,866
because Dinesh is beautiful
584
00:28:17,866 --> 00:28:21,000
but it's very cold and now they have like minus 15
585
00:28:21,233 --> 00:28:23,800
degrees so I'm happy because we have 15
586
00:28:23,900 --> 00:28:25,733
but plus and sun
587
00:28:26,266 --> 00:28:29,133
um yeah so I wanted a sunny place
588
00:28:29,233 --> 00:28:32,000
I wanted a change after the pandemic I was
589
00:28:32,233 --> 00:28:35,666
kind of depressed of all the greyness and everything
590
00:28:35,666 --> 00:28:38,800
I think many people did changes after the pandemic
591
00:28:38,900 --> 00:28:41,900
and I was one of them I just wanted to live somewhere and we loved
592
00:28:41,900 --> 00:28:44,100
Italy for travelling of course so
593
00:28:44,100 --> 00:28:47,200
we decided to check it out started learning Italian
594
00:28:47,466 --> 00:28:50,200
and then this place was just chosen
595
00:28:50,966 --> 00:28:52,966
by me I immediately
596
00:28:53,000 --> 00:28:55,600
like after 1 2 days I said OK that's it
597
00:28:55,600 --> 00:29:01,366
let's start here at least and we might stay here yeah
598
00:29:02,433 --> 00:29:04,400
and even there did a
599
00:29:04,466 --> 00:29:08,033
technology job help right AI job technology job
600
00:29:08,033 --> 00:29:11,700
helps to choose a dream a dream location
601
00:29:11,800 --> 00:29:16,133
seems very nice I envy you about the the sun at least
602
00:29:16,400 --> 00:29:18,100
yeah but you know that was
603
00:29:18,100 --> 00:29:20,933
that was three and a/2 years ago so um
604
00:29:21,166 --> 00:29:25,666
chat GPT wasn't even live yet it came a month later
605
00:29:25,666 --> 00:29:27,700
and it took me some time to realize
606
00:29:27,700 --> 00:29:29,100
how helpful it could be
607
00:29:29,433 --> 00:29:32,766
I I wish I had it to help with the documents
608
00:29:32,766 --> 00:29:36,500
here with translation with renting an apartment
609
00:29:36,500 --> 00:29:38,900
translating and understanding the whole
610
00:29:39,433 --> 00:29:40,233
uh
611
00:29:40,700 --> 00:29:41,900
the whole documents everything
612
00:29:41,900 --> 00:29:43,966
that I had the contracts and
613
00:29:44,233 --> 00:29:48,400
uh helping me acquire my residency I now
614
00:29:48,500 --> 00:29:50,566
help people do that with AI
615
00:29:50,566 --> 00:29:53,800
if they are experts somewhere and I I have a
616
00:29:53,800 --> 00:29:54,566
I have now a
617
00:29:54,566 --> 00:29:58,166
a great process for that a great AI workflow and
618
00:29:58,166 --> 00:30:00,833
I wish I had it because it took everything
619
00:30:00,833 --> 00:30:02,200
took so much time because I didn't
620
00:30:02,200 --> 00:30:04,066
speak the language well I didn't understand
621
00:30:04,066 --> 00:30:05,366
this this processes
622
00:30:05,366 --> 00:30:08,900
I never had to apply for residency anywhere so this was
623
00:30:09,000 --> 00:30:12,000
I wish I had it back then now it helps a lot whatever
624
00:30:12,000 --> 00:30:15,300
email comes like Gemini translates it for me
625
00:30:15,433 --> 00:30:18,766
and I immediately know what to write back and it's
626
00:30:19,100 --> 00:30:21,933
yeah it's a dream for expats AI
627
00:30:22,600 --> 00:30:23,666
that's cool
628
00:30:23,966 --> 00:30:27,500
maybe that would be a good sidekick for you also right
629
00:30:27,833 --> 00:30:30,166
you're right AI for expats
630
00:30:31,066 --> 00:30:35,000
amazing I you gave me so many ideas today hahaha
631
00:30:36,033 --> 00:30:36,833
uh
632
00:30:37,600 --> 00:30:43,700
you're welcome yeah cool nice and now um you see
633
00:30:44,066 --> 00:30:47,333
yourself as an woman in AI or woman in tech
634
00:30:48,666 --> 00:30:49,700
I do
635
00:30:51,066 --> 00:30:52,366
and how does it feel how
636
00:30:52,400 --> 00:30:55,100
how do you feel fulfill that role
637
00:30:55,233 --> 00:30:57,500
from your personal point of view hmm
638
00:30:58,600 --> 00:31:02,933
um I think being a woman in tech today
639
00:31:03,066 --> 00:31:06,566
is something completely else than it was
640
00:31:06,666 --> 00:31:10,000
30 20 even 10 years ago I guess because
641
00:31:10,466 --> 00:31:12,966
back then women in order to even
642
00:31:13,433 --> 00:31:16,966
get a role or get a career in tech they had to
643
00:31:16,966 --> 00:31:19,133
be like men they had to adjust
644
00:31:19,200 --> 00:31:22,766
more so be more aggressive be more
645
00:31:22,900 --> 00:31:25,033
like I'm generalizing again but
646
00:31:25,033 --> 00:31:26,766
you know what I mean we had to
647
00:31:26,766 --> 00:31:28,900
imitate I even heard a woman lately
648
00:31:29,566 --> 00:31:31,033
on a woman in tech meeting
649
00:31:31,033 --> 00:31:34,200
um she said she's a developer and she said that
650
00:31:34,200 --> 00:31:36,300
at one point she joined a company
651
00:31:36,700 --> 00:31:38,866
started going to an office as a programmer
652
00:31:39,100 --> 00:31:42,266
and her boss told her at one point that
653
00:31:42,300 --> 00:31:45,266
she should maybe change her the way she close
654
00:31:45,566 --> 00:31:49,800
clothes this bit because she liked colorful dresses
655
00:31:50,200 --> 00:31:51,000
he said
656
00:31:51,066 --> 00:31:53,800
you know it's not very important but maybe you could
657
00:31:53,800 --> 00:31:57,300
like look more blend in like look like the developers
658
00:31:57,300 --> 00:31:59,200
which were and it wasn't like a
659
00:31:59,200 --> 00:32:01,366
customer facing role or anything
660
00:32:01,366 --> 00:32:04,500
it wasn't about looking more elegant nothing like that
661
00:32:04,500 --> 00:32:05,866
it was about could you please blend
662
00:32:05,866 --> 00:32:08,033
in a bit more like wear hoodies
663
00:32:08,033 --> 00:32:10,166
or whatever they were wearing because they were
664
00:32:10,166 --> 00:32:11,266
they were developers
665
00:32:11,833 --> 00:32:14,500
so she was and she realized
666
00:32:14,500 --> 00:32:16,300
after some years that she really started
667
00:32:16,300 --> 00:32:18,800
doing that she stopped wearing dresses and rocks
668
00:32:18,800 --> 00:32:20,766
uh skirts she just
669
00:32:20,866 --> 00:32:24,066
started to blend in and she felt sad about it
670
00:32:24,166 --> 00:32:28,133
and that is how I think it shouldn't be now anymore
671
00:32:28,266 --> 00:32:30,466
and I will tell you why I will tell you a story
672
00:32:30,833 --> 00:32:31,966
if we have time
673
00:32:32,500 --> 00:32:35,366
of course that's why we are here OK good
674
00:32:36,066 --> 00:32:40,500
so the story about AI like how I started learning AI I
675
00:32:40,766 --> 00:32:43,433
like I said I decided two and a/2 years
676
00:32:43,433 --> 00:32:45,766
ago I said okay now I need to really dive
677
00:32:45,766 --> 00:32:47,133
in I need to learn it
678
00:32:47,300 --> 00:32:49,700
and I started looking for courses
679
00:32:50,366 --> 00:32:51,833
joining free webinars
680
00:32:51,833 --> 00:32:54,566
looking for courses I was ready to pay
681
00:32:54,700 --> 00:32:57,566
but I wanted to find a good course and everything
682
00:32:57,566 --> 00:33:00,333
that was out there back then that was men
683
00:33:01,366 --> 00:33:04,566
that was men teaching mostly
684
00:33:04,900 --> 00:33:08,000
um software developers so it was very technical
685
00:33:08,000 --> 00:33:13,966
it was very boring and very impractical
686
00:33:14,233 --> 00:33:17,433
so some of the courses were completely abstract
687
00:33:17,433 --> 00:33:18,766
like you could use
688
00:33:18,766 --> 00:33:21,600
AI here you could use AI there but nobody was showing
689
00:33:21,766 --> 00:33:24,400
I use AI like this look and you can do it
690
00:33:24,400 --> 00:33:26,000
like that like that like that
691
00:33:26,300 --> 00:33:27,966
so they were not practical
692
00:33:27,966 --> 00:33:29,833
they were theoretical they were
693
00:33:29,833 --> 00:33:32,566
boring and very technical
694
00:33:33,200 --> 00:33:35,000
and I thought
695
00:33:35,000 --> 00:33:36,600
OK I need to learn it myself
696
00:33:36,600 --> 00:33:39,700
and I started learning myself and then the first
697
00:33:39,800 --> 00:33:42,600
really good courses that were fun
698
00:33:42,833 --> 00:33:46,866
really practical felt natural to watch them and
699
00:33:47,033 --> 00:33:49,700
helped me really learn something
700
00:33:50,266 --> 00:33:52,700
uh were from women so a few women
701
00:33:52,700 --> 00:33:55,866
in AI that I then started following I currently follow
702
00:33:55,866 --> 00:33:59,066
mostly women in AI and I learn from them
703
00:34:00,000 --> 00:34:03,400
and that's how I also started realizing OK I will
704
00:34:03,400 --> 00:34:06,066
do something like that myself I will create a course
705
00:34:06,066 --> 00:34:08,466
that will cover all of that that I
706
00:34:08,466 --> 00:34:11,700
wanted back then so the whole fundamentals of AI
707
00:34:12,200 --> 00:34:15,033
and then of course advanced also master classes
708
00:34:15,033 --> 00:34:16,300
but I will start with an
709
00:34:16,300 --> 00:34:19,566
AI fundamentals course for non technical people
710
00:34:19,766 --> 00:34:21,966
that is practical and fun
711
00:34:22,266 --> 00:34:26,200
and I did that and that's how I I felt I'm I'm I'm um
712
00:34:26,433 --> 00:34:27,600
closing a gap
713
00:34:28,266 --> 00:34:30,933
and that is why I also think that more women
714
00:34:30,966 --> 00:34:34,900
should be in AI because yes being a woman in AI
715
00:34:34,900 --> 00:34:36,800
or in tech now means being yourself
716
00:34:37,366 --> 00:34:39,933
you don't have to imitate anyone anymore
717
00:34:40,166 --> 00:34:43,300
you don't have to adapt you don't have to blend in
718
00:34:43,466 --> 00:34:46,300
now you have to stand out so if you are yourself
719
00:34:46,366 --> 00:34:47,266
if you're being yourself
720
00:34:48,233 --> 00:34:51,033
you it's it's better you bring your
721
00:34:51,033 --> 00:34:55,200
personality your value and the female like
722
00:34:55,600 --> 00:34:57,100
strength that we have
723
00:34:57,200 --> 00:34:59,900
you can now all bring that you can wear your colorful dresses
724
00:35:00,100 --> 00:35:02,900
the women in AI that I follow are so natural
725
00:35:03,366 --> 00:35:07,200
they are completely themselves they don't care about
726
00:35:07,400 --> 00:35:09,900
I mean that's how it seems and
727
00:35:09,900 --> 00:35:13,066
when I speak to them it seems also that they say OK
728
00:35:13,066 --> 00:35:15,666
I don't care I know I'm messy for example or
729
00:35:15,833 --> 00:35:17,300
I know I'm I'm completely
730
00:35:17,300 --> 00:35:19,166
non techy but I do teach this AI
731
00:35:19,166 --> 00:35:21,066
because I know how to do it practically
732
00:35:21,066 --> 00:35:22,933
so why why wouldn't I teach it
733
00:35:23,266 --> 00:35:25,533
or they are completely like
734
00:35:25,666 --> 00:35:29,800
so natural in their webinars they just relax and they
735
00:35:30,066 --> 00:35:32,400
speak what they think and they ask you
736
00:35:32,400 --> 00:35:35,100
10 times how can I help that's also a very
737
00:35:35,266 --> 00:35:37,700
female thing right how can I support
738
00:35:38,166 --> 00:35:40,433
is it fine for you what I'm saying is it clear
739
00:35:40,433 --> 00:35:42,866
can I show you so what could what could I show you
740
00:35:43,566 --> 00:35:48,500
and yeah I think I feel from my experience learning AI
741
00:35:48,766 --> 00:35:51,166
it's really much easier to learn it as a non
742
00:35:51,166 --> 00:35:52,333
technical person
743
00:35:53,300 --> 00:35:54,433
maybe also as a woman
744
00:35:54,433 --> 00:35:56,333
it's much easier to learn it from women
745
00:35:57,200 --> 00:35:59,866
but I don't have only a female clients
746
00:36:01,066 --> 00:36:03,900
men also join my academy so it's
747
00:36:04,233 --> 00:36:07,433
it's not my target I would say but it's something that
748
00:36:07,433 --> 00:36:10,866
well I felt I I fill the gap hopefully
749
00:36:12,766 --> 00:36:16,166
I can imagine yeah like I said um
750
00:36:18,166 --> 00:36:20,000
women are very good in learning
751
00:36:20,566 --> 00:36:24,733
so at school I guess even their studies in school
752
00:36:25,233 --> 00:36:29,266
mostly girls are better than than the boys
753
00:36:29,500 --> 00:36:32,100
maybe because most boys only
754
00:36:33,433 --> 00:36:34,233
uh
755
00:36:35,066 --> 00:36:39,933
have um their interests in schools later
756
00:36:40,000 --> 00:36:42,366
often very often not not each and every
757
00:36:42,400 --> 00:36:44,200
boy but mostly later
758
00:36:44,700 --> 00:36:46,966
and as you said you had 3 languages
759
00:36:46,966 --> 00:36:48,733
your colleagues only your
760
00:36:48,866 --> 00:36:51,466
male colleagues only 2 learning non stop
761
00:36:52,166 --> 00:36:53,133
yeah yeah
762
00:36:54,033 --> 00:36:57,700
that yeah is your advantage now so often uh
763
00:36:58,633 --> 00:37:01,466
women are better in AI because they approach
764
00:37:01,466 --> 00:37:02,866
technology first
765
00:37:04,033 --> 00:37:05,900
that's cool thank you yes maybe you're right
766
00:37:06,200 --> 00:37:09,133
and that you lower the barrier for for women
767
00:37:09,433 --> 00:37:12,100
from woman to woman that's very nice yeah
768
00:37:12,100 --> 00:37:14,766
that is a good point I think women always
769
00:37:15,666 --> 00:37:19,000
that's also of course but yeah we are often
770
00:37:19,033 --> 00:37:23,666
better in school we often well I think we also
771
00:37:23,666 --> 00:37:26,066
needed to learn more because we also
772
00:37:26,066 --> 00:37:29,333
we always needed to know more in order to
773
00:37:29,466 --> 00:37:30,433
you know keep up
774
00:37:30,433 --> 00:37:33,366
with men in in the careers in school also
775
00:37:33,433 --> 00:37:35,666
we needed always to prove ourselves
776
00:37:36,500 --> 00:37:40,500
and I don't know even to be part of conversations
777
00:37:40,900 --> 00:37:41,866
that men held
778
00:37:41,866 --> 00:37:44,766
we had to be knowledgeable because we always
779
00:37:44,833 --> 00:37:47,066
felt at least we had to prove ourselves
780
00:37:47,066 --> 00:37:51,033
much more than men so I think that is also a reason
781
00:37:51,033 --> 00:37:52,733
why women are always learning
782
00:37:53,966 --> 00:37:54,900
and yeah you cannot
783
00:37:54,900 --> 00:37:57,166
be an AI without learning you have to learn
784
00:37:57,300 --> 00:37:59,833
you know constantly in order to
785
00:37:59,833 --> 00:38:02,966
you don't need to keep up with everything of course but
786
00:38:03,166 --> 00:38:04,966
yeah you have to have an overview
787
00:38:04,966 --> 00:38:09,200
of the technology how it's changing and that takes yeah
788
00:38:09,433 --> 00:38:12,433
a lot of my time now just to keep up how do you
789
00:38:12,433 --> 00:38:14,966
do it there are so many sources at the moment
790
00:38:15,233 --> 00:38:17,300
so many new models and versions
791
00:38:17,300 --> 00:38:21,133
and crazy every every week sometimes every day
792
00:38:21,400 --> 00:38:23,200
yes I had to streamline
793
00:38:23,200 --> 00:38:27,100
it a lot so I I have a lot I get a lot of newsletters
794
00:38:27,500 --> 00:38:31,966
but in the end so first I build a an automation
795
00:38:31,966 --> 00:38:35,200
that summarizes them and gives me an update but that
796
00:38:35,266 --> 00:38:39,300
wasn't the same because I I'd rather see who's writing
797
00:38:39,300 --> 00:38:41,800
it you know where where did it come from
798
00:38:41,833 --> 00:38:45,133
I ended up having only one or two from women
799
00:38:46,266 --> 00:38:49,233
and they update they they send out newsletters
800
00:38:49,233 --> 00:38:52,033
with updates as women I trust I know they are amazing
801
00:38:52,033 --> 00:38:54,500
I know they're rocking it so when they send an update
802
00:38:54,500 --> 00:38:55,966
I know it will be relevant
803
00:38:56,066 --> 00:38:58,466
it will be practical it will not be some
804
00:38:58,466 --> 00:39:01,766
super hype about I don't know very uh I
805
00:39:01,833 --> 00:39:03,700
what is it generally agenic
806
00:39:03,700 --> 00:39:05,466
something something that we're waiting for
807
00:39:05,466 --> 00:39:06,933
I'm not interested in
808
00:39:07,466 --> 00:39:10,800
in that very abstract um things I'm interested
809
00:39:10,800 --> 00:39:11,900
in the very practical
810
00:39:11,900 --> 00:39:14,533
side and my my clients and my students as well
811
00:39:14,700 --> 00:39:16,400
so I need to know practically what is
812
00:39:16,400 --> 00:39:19,166
important what changed like what what do I need to
813
00:39:19,166 --> 00:39:21,766
try out now or why does cloth look different
814
00:39:21,766 --> 00:39:23,933
now what is co work I don't know these things
815
00:39:24,100 --> 00:39:27,200
I don't need to know like any and and the politics
816
00:39:27,200 --> 00:39:29,033
I don't need them many I listen
817
00:39:29,033 --> 00:39:31,866
to many AI podcasts in the beginning I like them
818
00:39:32,000 --> 00:39:33,666
but they tended to
819
00:39:34,200 --> 00:39:37,266
talk a lot of politics uh like business politics
820
00:39:37,266 --> 00:39:38,400
let's say about
821
00:39:38,400 --> 00:39:40,966
Elon Musk and Sam Altman and what didn't
822
00:39:40,966 --> 00:39:43,200
then he said and then he said and then he said
823
00:39:43,366 --> 00:39:45,533
and it's always he said it's never she said
824
00:39:45,600 --> 00:39:48,133
I don't need to know what they said
825
00:39:48,566 --> 00:39:52,366
so I stopped I stopped listening to these podcasts yeah
826
00:39:54,466 --> 00:39:58,866
I can imagine do you regularly um attend podcasts or
827
00:39:59,433 --> 00:40:01,766
no no I like it I'm
828
00:40:01,766 --> 00:40:04,066
that's why I'm very happy that you invited me
829
00:40:04,100 --> 00:40:07,066
I was in one last year I think in one only
830
00:40:07,066 --> 00:40:10,766
that was about vibe coding and I was invited as a
831
00:40:10,766 --> 00:40:13,766
vibe coding expert that also helped me get rid of my
832
00:40:13,766 --> 00:40:17,200
imposter syndrome because this guy contacted me
833
00:40:17,300 --> 00:40:18,900
and he said
834
00:40:18,900 --> 00:40:21,566
he wrote me you know I want to have an expert on vibe
835
00:40:21,566 --> 00:40:24,333
coding in my podcast could you please come
836
00:40:24,766 --> 00:40:27,066
and I answered but I'm not an expert in vibe
837
00:40:27,066 --> 00:40:30,300
coding I do it but I I don't see myself
838
00:40:30,300 --> 00:40:32,700
as a real expert and he answered
839
00:40:32,966 --> 00:40:35,166
I don't think there are any real experts
840
00:40:35,400 --> 00:40:39,133
and I looked at it and I thought I think you're right
841
00:40:39,300 --> 00:40:42,766
I mean that's so it's so fresh it's so new yeah
842
00:40:42,766 --> 00:40:44,000
that who can be who can be
843
00:40:44,000 --> 00:40:46,366
a 10 an expert with 10 or 20
844
00:40:46,366 --> 00:40:48,566
years of experience in vibe coding nobody
845
00:40:48,566 --> 00:40:51,833
everyone's just starting to do it so is that okay
846
00:40:51,833 --> 00:40:53,833
of course I did research and um
847
00:40:53,833 --> 00:40:56,766
I I had already built several things but I researched
848
00:40:56,766 --> 00:40:58,700
other tools that I don't use usually
849
00:40:58,700 --> 00:41:00,866
I came prepared and it went great
850
00:41:00,866 --> 00:41:02,700
but yeah I'm not not often
851
00:41:02,700 --> 00:41:05,133
invited to podcast so I'm I feel very
852
00:41:05,466 --> 00:41:07,200
very honored to be here
853
00:41:08,700 --> 00:41:12,566
thank you I will forward you to in a ipodcast so
854
00:41:12,566 --> 00:41:14,533
oh great yes speak more yeah
855
00:41:15,966 --> 00:41:17,900
I can speak about AI for hours
856
00:41:17,966 --> 00:41:20,933
no problem that's good that's good yeah I guess
857
00:41:21,066 --> 00:41:24,200
they will invite you more than once I guess it's fine
858
00:41:25,100 --> 00:41:29,500
amazing thanks ha ha ha yeah we are um
859
00:41:30,366 --> 00:41:32,733
little by little coming to an end um
860
00:41:32,833 --> 00:41:35,666
so by tradition so the last one or 2 minutes
861
00:41:35,666 --> 00:41:38,800
are for the guest we have um
862
00:41:39,433 --> 00:41:41,733
still some advices for girls for women
863
00:41:41,966 --> 00:41:43,300
who are interested in
864
00:41:43,466 --> 00:41:46,933
technology maybe like for you to be uh
865
00:41:48,066 --> 00:41:49,566
not coming directly
866
00:41:49,566 --> 00:41:53,000
from tech but maybe coming from another profession
867
00:41:53,600 --> 00:41:54,400
mm hmm
868
00:41:55,200 --> 00:41:58,566
yes so I said it a bit already but I
869
00:41:58,566 --> 00:42:01,000
maybe I will sum it up a bit um
870
00:42:01,200 --> 00:42:04,366
if you are in any way thinking of
871
00:42:04,566 --> 00:42:07,200
becoming a woman in tech or if you're interested
872
00:42:07,200 --> 00:42:10,133
in AI or interested in technology
873
00:42:10,900 --> 00:42:12,166
uh just do it
874
00:42:12,166 --> 00:42:14,900
don't let anyone tell you don't let your boss
875
00:42:14,900 --> 00:42:16,966
tell you anything or anyone else
876
00:42:17,066 --> 00:42:19,933
don't let your imposter syndrome come in the way
877
00:42:20,100 --> 00:42:22,566
uh just do it just pursue it do it now
878
00:42:22,600 --> 00:42:26,566
and even if you're not thinking of becoming
879
00:42:26,566 --> 00:42:30,133
a technical person you don't need to anymore so AI's
880
00:42:30,666 --> 00:42:33,266
like closing the bridge the gap between
881
00:42:33,366 --> 00:42:36,166
non technical and technical people a lot
882
00:42:36,266 --> 00:42:40,466
we can now easier understand each other we can easier
883
00:42:40,866 --> 00:42:42,966
work together and
884
00:42:42,966 --> 00:42:48,066
people who are not really technical can now become a an
885
00:42:48,066 --> 00:42:48,466
important
886
00:42:48,466 --> 00:42:50,866
person in tech like I said and a transformation
887
00:42:50,866 --> 00:42:55,500
leader for example or a change manager um an adult
888
00:42:55,766 --> 00:42:57,633
AI transformation coach
889
00:42:57,633 --> 00:42:59,866
all these things they are just emerging
890
00:42:59,866 --> 00:43:02,766
these roles and they are very important and women
891
00:43:02,900 --> 00:43:07,066
are amazing at these things so I think yeah just
892
00:43:08,200 --> 00:43:10,266
be very open now
893
00:43:10,266 --> 00:43:12,066
to what might and don't wait
894
00:43:12,066 --> 00:43:14,700
maybe this is important because people sometimes
895
00:43:14,900 --> 00:43:17,966
wait what will happen to them and
896
00:43:18,500 --> 00:43:19,466
for example you're you're
897
00:43:19,466 --> 00:43:22,000
you're afraid that you might lose your job or
898
00:43:22,000 --> 00:43:24,300
you're already looking for a job and you're waiting
899
00:43:24,300 --> 00:43:27,900
for someone to hire you I would say stop waiting
900
00:43:28,500 --> 00:43:30,166
to the women especially
901
00:43:30,566 --> 00:43:33,866
stop waiting start your own thing start something
902
00:43:34,100 --> 00:43:37,533
you can do so much now in AI without
903
00:43:37,566 --> 00:43:41,500
even technical knowledge so it's now the moment
904
00:43:41,500 --> 00:43:44,966
it really the moment is the best one to start a career
905
00:43:44,966 --> 00:43:45,433
even
906
00:43:45,433 --> 00:43:48,866
to or to jump on a career that you always dreamed of
907
00:43:49,433 --> 00:43:52,800
just start by covering the fundamentals of AI
908
00:43:53,033 --> 00:43:56,566
and then you can do you can do anything now
909
00:43:58,433 --> 00:44:00,400
yeah I think that's that
910
00:44:01,966 --> 00:44:03,100
thank you daughter
911
00:44:04,266 --> 00:44:07,066
thank you so much David for having me