Samira
Golsefid
VP of Data Science at 6sense
"The Future of AI: AI Strategy Beyond Generative Models"
"The Future of AI: AI Strategy Beyond Generative Models"
Tue May 20 - 5:40 PM EDT/New York (See in local time)
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05/20/2025 5:40 PM
05/20/2025 06:00 PM
America/New_York
#WTGC2025
"The Future of AI: AI Strategy Beyond Generative Models"
#WTGC2025
"The Future of AI: AI Strategy Beyond Generative Models"
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"The Future of AI: AI Strategy Beyond Generative Models"
"The Future of AI: AI Strategy Beyond Generative Models"
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Session: The Future of AI: AI Strategy Beyond Generative Models
Is generative AI the destination, or just a milestone on the path to something bigger? In this fast-paced session, we’ll challenge the hype and look ahead to what’s coming next in AI: from agentic systems to self-supervised learning and beyond.You’ll walk away with a clear lens for what’s truly transformative vs. what’s just trending and learn how to craft AI strategies that don’t just catch up but leap ahead. Whether you're a product leader, technologist, or executive, this talk will help you future proof your thinking and position your organization for long-term impact.
Key Takeaways
- This session helps leaders understand these complexities and craft effective AI strategies that align with the evolving technology.
Bio
Samira Golsefid is an experienced AI executive and entrepreneur with over 15 years in the industry, blending strategic leadership with deep technical expertise. As VP of Data Science at 6sense, she led AI, GenAI, and agentic system initiatives that drove significant revenue growth, reduced costs, and tripled team productivity. Previously at PayPal, she built scalable AI products for fraud detection, securing billions in transactions for over 40,000 merchants. She also founded an AI company in Iran, partnering with major organizations including the United Nations.Samira has a proven track record of turning company visions into scalable AI solutions across diverse sectors and company sizes and is known for fostering a culture of innovation and rapid adoption. She holds a PhD in Industrial Engineering focused on AI and is a frequent contributor to leading journals and conferences in machine learning and artificial intelligence.
