Women in Mobile: Boss Ladies Working in AI - Lana Dubinskiy (Women and AI)

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Rating: 4.8 (3721 reviews)

03/20/24 • 28 min

As part of our Women in Mobile series celebrating Women’s History Month, Maria Lannon from Remerge talks to Lana Dubinskiy, an AI product advisor and a co-founder of Women and AI. Women and AI is an initiative highlighting women working in the field of artificial intelligence and providing relevant industry news. It was created so that women could help each other shine within this male-dominated sector of the tech industry.

Questions Lana answered in this episode:

How did you end up in product advertising? Did you have a mentor?
Did you ever feel intimidated to speak up?
How have you been able to get other women to join?
Are there certain resources that you gravitate towards that have helped you?
How do you prioritize your day to stay on top of things? How do you prioritize your “you” time?
What is the best piece of advice you’ve received? And what is the worst?

Timestamp:

2:27 Lana’s background
4:02 Getting into male-dominated professions
5:57 Data points: How to speak with confidence
7:18 The creation of Women and AI
9:00 Get involved with Women and AI
11:40 Growing is uncomfortable
14:40 Staying on top of AI news
18:25 Compartmentalizing clients as a consultant
21:46 Work-life balance
24:52 The worst and best advice

Quotes:

(4:26-4:36) “I see a lot of people get to a certain level and they feel like they just want to be on top of the mountain by themselves. I think it’s so important, as women, to give back to our community and mentor other women.”

(8:00-8:23) “We went to conferences and there were only a few women there. We could have spoken at the conference – we had more knowledge than the presenters there. So it was very disheartening. We felt like this is something we can do: We can highlight other women. We can show boss ladies, CEOs, that are working in the AI space, dominating it, and really making an impact.”

Mentioned in this Episode:

Questions Lana answered in this episode:

How did you end up in product advertising? Did you have a mentor?
Did you ever feel intimidated to speak up?
How have you been able to get other women to join?
Are there certain resources that you gravitate towards that have helped you?
How do you prioritize your day to stay on top of things? How do you prioritize your “you” time?
What is the best piece of advice you’ve received? And what is the worst?

Timestamp:

2:27 Lana’s background
4:02 Getting into male-dominated professions
5:57 Data points: How to speak with confidence
7:18 The creation of Women and AI
9:00 Get involved with Women and AI
11:40 Growing is uncomfortable
14:40 Staying on top of AI news
18:25 Compartmentalizing clients as a consultant
21:46 Work-life balance
24:52 The worst and best advice

Quotes:

Mentioned in this Episode:

Previous Episode

Women in Mobile: Closing the Tech Industry’s Gender Gap - Laura Schwarz (Airship)

It’s difficult to find female talent in the tech industry, and it’s a real problem. Apptivate’s Women in Mobile series is back this March to celebrate Women’s History Month and to discuss how to close the gender gap in our industry. In this episode, Maria chats with Laura Schwarz, Airship's Senior Director of Sales for EMEA, who joined a handful of other female tech leaders in launching a program that invites young girls and boys to learn about different jobs within tech companies. To date, the NOW+NEXT program has reached over 6,000 young girls throughout the UK with plans to expand to the U.S.

Questions Laura Answered in this Episode:

What led you to where you are in your career today?
How do we encourage women to break into our industry?
What has excited or inspired some of the girls who’ve gone through our internship?
Can you tell us about your career story and also introduce Airship to our listeners?
What makes you excited to be working in your current role?
Do you have any advice for our listeners?

Timestamp:

1:10 Laura’s background
5:10 The effect of “bro culture”
6:50 Women are still underrepresented in tech
8:09 Introducing tech careers to girls
14:30 NOW+NEXT
16:10 We won’t want men “out of the room”
18:12 What helps get young people excited about tech careers?
21:42 About Airship and Laura’s role
26:55 The forefront of innovation
29:28 Career advice for young listeners

Quotes:

(8:40-9:03) “I get 50 applications from male candidates and one female. How is that? Where are the women applying for jobs? This is a real problem, and we have to find a solution to that.”

(15:15-15:30) “I think that’s what a lot of women in different areas of business and research are doing – they’re paving the way and they’re always asking, ‘What’s next?’ We’re not satisfied with the status quo.”

Mentioned in this Episode:

Next Episode

Using AI to advertise mobile games - Günay Aliyeva (Gamelight)

Günay is the co-founder of Gamelight, a user acquisition platform for app developers and a game and app recommendation platform for users. Gamelight’s success can be attributed to its powerful AI algorithm. Learn how UA managers are leveraging tech to pair users with mobile games that they’ll love.

Questions Günay Answered in this Episode:

How does Gamelight work?
What technology are you leveraging to run your platform?
Has Gamelight had this technology from the start?
What is your background and how did you come to start Gamelight?
What have you learned from building this AI algorithm?
How does that change the role of a UA manager?
What have you seen that works really well for the games that advertise on your platform?
How do you convince games to advertise on your platform?
How do you acquire users to your recommendation platform?
What do you see coming ahead in the industry?

Timestamp:

1:53 What is Gamelight?
3:27 The AI technology behind Gamelight
6:58 Günay’s story
9:18 What we’ve learned from building our AI algorithm
11:23 The role of the UA manager
15:27 What draws publishers to advertise our platform?
17:23 How our recommendation platform works
21:38 How I become a mobile gamer
24:52 What’s ahead

Quotes:

(5:08-5:27) “We let the algorithm decide because it’s way more granular and can analyze more data points than a human. This is how it brings much better UA results for our advertisers because it can pick every single user that could be the best fit for them instead of taking average gender or age for users.”

(13:04-13:13) “[Humans] are more creative. They can have better ideas on what to do and how to plan UA campaigns in a more strategic way.”