Datadog Live NYC: Women in AI

Dr. Yanbing Li is a global business and technology leader with extensive experience in product, engineering, large-scale P&L and global operations. Prior to joining Datadog, Li was the Senior Vice President of Engineering at Aurora. Before Aurora, she was Vice President of Product and Engineering at Google where her portfolio included Google Cloud Commerce, Cloud Operations and Service Infrastructure. Prior to Google, Li held multiple executive leadership positions at VMware, including Senior Vice President and General Manager for the Storage and Availability Business Unit. Li holds a Ph.D degree from Princeton University, a master's degree from Cornell University and a bachelor’s degree from Tsinghua University. She completed the Stanford Executive Program from Stanford Graduate School of Business in 2014.

Angie Ruan is the Divisional CTO for Nasdaq Capital Access Platforms, where she leads technology strategy and engineering across Index, Data, Analytics, ESG products, and more. A recognized digital innovator, Angie has driven large-scale transformations at companies like Chime, American Express, PayPal, and eBay, with expertise in AI, cloud, mobile, and enterprise software. She holds four technical patents and is passionate about mentoring the next generation of technologists. Angie earned her M.S. in Computer Science from the University of California, Santa Barbara, and studied at Tsinghua University in China.

Anila Joshi, AWSI Geo Leader for strategic accounts and Senior Manager of Applied Science at the AWS Generative AI Innovation Center, where she spearheads transformative initiatives at the intersection of artificial intelligence and cloud computing. With over a decade of distinguished experience in AI solution development, Anila has established herself as a visionary leader in the rapidly evolving generative AI landscape.

In her pivotal role at AWS, Anila drives customer success by guiding organizations through the complete lifecycle of generative AI adoption—from initial ideation and strategic planning to secure implementation and deployment. She collaborates closely with enterprise customers to identify high-impact use cases, architect robust AI solutions, and navigate the complexities of integrating cutting-edge generative AI technologies into existing business frameworks driving tangible outcomes.

Anila's expertise spans the full spectrum of AI applications, with particular depth in machine learning, natural language processing, and emerging generative AI technologies. Her work focuses on pushing the boundaries of what's possible with AI while maintaining the highest standards of security, scalability, and performance that enterprises demand. As a thought leader in the field, Anila is passionate about democratizing AI innovation and helping organizations unlock new possibilities through AWS's comprehensive suite of AI and machine learning services. Her collaborative approach and deep technical acumen have made her an invaluable partner to customers seeking to harness the transformative power of generative AI to drive business growth and operational excellence.

Prior to her current role, Anila built extensive experience across various AI domains, consistently delivering solutions that bridge the gap between cutting-edge research and practical, scalable business applications. She holds two master's degrees, one in computer science and the other in predictive analytics, from Northwestern University.