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OUR SPEAKERS

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Liji Thomas is an accomplished technologist and leader with over 15 years of experience in building cutting-edge digital experiences. She is a Microsoft MVP in AI, which is a testament to her expertise and contributions to the community in the field of artificial intelligence. As Manager (Data + AI) at Valorem Reply, Liji Thomas oversees the development of cutting-edge solutions that leverage data and artificial intelligence to drive business value. Her expertise spans a wide range of technologies, including AI, machine learning, natural language processing, and conversational AI. In addition to her work at Valorem Reply, Liji is an active participant in the broader data and AI community. She is a frequent speaker at industry events and conferences.

Liji Thomas

Manager (Data +AI)
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English
Languages:
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Location:
Kansas Cirt, USA
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Can also give an online talk/webinar
Paid only. Contact speaker for pricing!

MY TALKS

Why AI Needs More Women: Fostering Diversity in the Age of Intelligence

Women in Tech, Innovation, Data / AI / ML, Diversity and Inclusion

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In the rapidly evolving landscape of artificial intelligence (AI), diversity, particularly the inclusion of women, plays a critical role in shaping ethical and effective AI systems. This session explores the imperative need for greater female representation in AI and how it impacts the development of this transformative technology. We will delve into the current state of gender diversity in AI, examining the challenges and opportunities it presents.

The session will highlight how women bring unique perspectives to AI development, leading to more inclusive and unbiased algorithms. The session will also discuss the broader implications of gender diversity on innovation and ethical AI design, underscoring the potential risks of a homogenous AI development landscape.

This session is a call to action for industry leaders, educators, policymakers, and AI practitioners to prioritize and advocate for gender diversity as a cornerstone of responsible AI development.

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Why AI Needs More Women: Fostering Diversity in the Age of Intelligence

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