Simi Lindgren

Founder

Yuty

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Speaker Bio

Founded in 2020 by MT35u35 Alum and former award-winning B2B SaaS leader Simi Lindgren, Yuty® is the Google backed, proprietary AIaaS Beauty Tech solutions provider, revolutionising the beauty commerce experience and customer-brand relationships through AI powered hyper-personalisation.

Yuty’s achievements have been recognised by prominent media outlets including ITV, TechCrunch, CNN, Bloomberg and The Washington Post, and has been acknowledged as the “Early-Stage Beauty Tech to Watch” by Sifted and a “Beauty Game-Changer” by ELLE Magazine, alongside receiving patents for their innovative technology. Simi was named the 10th Black female to have raised VC capital in the UK, having raised an over-subscribed pre-seed round led by Ada Ventures and Venrex; Simi also raised an additional $100k from Google for Startups, and has received investment from notable Angel investors including those from Deepmind, PayPal, Atomico and JP Morgan.

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Speaker Sessions

11:35am
Panel Discussion

Panel: Driving Diversity And Inclusion In AI

60 mins
  • Track - Future Impact
  • AI/ML
  • HR/DEI
  • Dorothy Chou

    Head of Policy and Public Engagement

    Google DeepMind

  • Simi Lindgren

    Founder

    Yuty

  • Antonia Creswell

    Founder

    BobbyChat

  • Melissa Heikkilä

    Senior Reporter

    MIT Technology Review

AI is being rapidly deployed across industries so it is essential to build AI that is ethical and equitable for all. This requires engaging with diverse perspectives and combating the lack of representation that has long prevailed in the tech industry.

This panel brings together leading voices in technology, policy, and activism to discuss practical approaches for building more diverse and inclusive artificial intelligence systems. The discussion will draw on the panellists’ unique experiences and perspectives to explore issues of representation and bias in AI, as well as strategies for effecting change within the tech community.

Session Key Takeaways:

  • Practical approaches to mitigating bias and increasing representation in building AI systems
  • First-hand experiences on advocating for the participation of marginalised groups
  • Advice on overcoming obstacles and driving change as women in tech

This session is for you if…you are interested in AI and want to hear from leading women who are actively building diverse and ethical AI systems.

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