RECAP Women in IoT x Women in AI: All you Need to Know about AIoT
CHINESE VERSION BELOW.
Thank you everyone for participating in our August Women in IoT meetup on Wednesday! For those of you who could not join, here’s a recap of all the takeaways discussed.
For Internet of Things to be successful, it needs the help of AI! Emma shared three key technologies of AIoT: cloud data and analysis, embedded systems and sensors, and 5G. Among them, she believes that the sensor is the most critical. In terms of accuracy and stability of an IoT device data, although accuracy is important, stability is more important. If the data is inaccurate but the distribution is stable, you can use a follow-up Algorithm to modify. But if a piece of data is inaccurate and ineffective, it will be like garbage in, garbage out.
In addition to our AIoT keynote, we had a discussion on salary equality where two interviewees shared their own career experience with salary negotiation. We also gained insight into their impressive stories as employers vs employees:
From Emma Yang: The time I was most impressed was when an employee came to me and told me that there were other better job opportunities offering her a higher salary. But when she came to talk to me, she didn't use coercion to change jobs, but showed reluctancy to leave her current company and supervisor. So I immediately decided to give her a raise to show her her value at our company and encourage her to keep working with us..
From Theresa Liang: When I came back from the graduate school in George Town in the United States, the first job I interviewed at was in marketing and public relations. I remember asking for 47,500/month which I felt was a reasonable salary for my skill level. I discovered that this was a relatively high salary in Taiwan with many new graduates in my field looking at 30,000/month instead. It is important to throughly research the local market and keep those in mind when negotiating for what you want.
From Mandy Chung: Both of Emma and Theresa’s stories have highlighted one thing: before negotiating your salary, you must do your homework, master market trends, and know your value in the market when you have sufficient strength. A study pointed out that when setting salary expectations, you should use as accurate a number as possible rather than a range. This will make the appointing director see that you have done market research before you confidently came up with such a number.
We hope you enjoyed our meetup! Please stay tuned for our next event and if you have any questions in the meantime, be sure to reach out to us on Facebook, Instagram, or our Website contact form.
再次謝謝大家週三來參加 Women in IoT的活動： 物聯網要成功，需要 AI 的神助攻！feat 薪資平等論壇。Emma 分享到 AIoT 三大關鍵技術：雲端數據與分析、嵌入式系統與感測器與5G。而其中她認為，感測器是其中最關鍵的一環！在物聯網設備資料的準確度（效度）及穩定度（信度）中，雖然準度很重要但穩定度更重要，如果數據不準但分佈是穩定的朝左偏，則可以透過後續的演算法來修正。但若一份資料又沒準度又沒效度則會淪為 garbage in garbage out 的結果。
此外在薪資平等的座談，兩位與談者紛紛分享了自己職涯經驗遇到的薪資談判經驗，分別以雇主與僱員的身份分享他們印象深刻的故事：
Emma Yang:
我印象最深刻的一次是一個員工跑來跟我說有其他更好的工作機會開了很高的薪水請她去。但她來找我談的時候並不是用脅迫跳槽的方式，而是表現出對原公司及老闆非常依依不捨的心情。因此我當下就決定要給她加薪，讓她繼續留下來跟我們一起打拼。
Theresa Liang:
我剛從美國 George Town 攻讀完研究所回來時，面試的第一份工作是行銷公關業，我記得很清楚當時開了 47,500 這個數字，後來才發現這樣的數字在台灣市場對一個新鮮人來說是一個相對高的數字。
Mandy Chung: 兩位的分享都暗示了一件事：談判薪資之前要做足事前功課，掌握市場動向，有充足的實力外也要知道自己在市場的價值。有一份研究指出，在開薪資期望值時，可以用盡量準確的數字，這樣會讓任用主管認為你是有先做過市場調查才會有自信提出這樣的數字的，所以這可能是Theresa 成功協商到較高薪水的關鍵 (笑)。