Eva Feng, the Head of Product at Twilio, and Yuying Chen-Wynn, CPO at Ed Tech, Prerna Kaul, Senior Technical Product Manager at Amazon, and many more speakers will bring their extensive experience in product development and AI to discuss the future of product development. Together they possess leadership roles with Amazon Web Services, Citi, Service Now, Hewlett-Packard Product, Walmart Labs, and startups in Silicon Valley.
In the ever-changing landscape of AI, understanding how to create a winning product strategy is essential for project managers. Attend the Women in Tech Global Conference 2023 and meet experts from Amazon, Ed Tech, Meta, Microsoft, Twilio, and many more. Hear from top innovators as they discuss best practices and frameworks for staying competitive in the market whilst combining technical expertise with customer needs. Learn how to leverage AI as part of the product roadmap and gain insight into successful product strategies.
When: May 9-12, 2023
Where: Women in Tech Global Conference 2023
How to Get Involved?
Attendees & Companies:
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- Request an Interview/Meeting with a Speaker
“How to build a winning product strategy in the ever-changing landscape of AI is one of the most wanted-to-learn topics by project managers”, highlights Eva Feng who will share some of the best practices and frameworks to employ in order to stay competitive in the market. She has worked in the UK, China, and the US. and is well-versed in combining deep technical expertise, and customer and market knowledge to build and communicate a strong product vision.
“My passion for data and AI led me to integrate those aspects in all my product strategies.", shares Yuying Chen-Wynn. She will explore how to leverage AI as part of the product roadmap.
“In an era where AI will work in tandem and at times supersede humans, it’s imperative to understand how product leaders can empower their employees, create psychological safety, and build products ethically.”, highlights Prerna Kaul. Her talk will throw light on ways to collaborate with AI: Basic Income, Policies on using AI to augment biological intelligence, and Guardrails for AI Monopoly.
Key takeaways:
- How to Leverage Your Base Models to Create Variations?
- What are some tried & true AI Productization Roadmaps with Proven Models to Shorten the Payback Window?
- How to Build a Product Strategy for a Winning Product?
- Product Strategy Framework?
- What are some real-life examples of good and bad product strategies?
