Leveraging AI at Scale: Three Foundational Elements Every Organizational Leader Should Be Considering
Summary
LinkedIn has been using AI for more than a decade. In that time, it has seen the use of ML and AI accelerate and evolve in ways that challenge every organization, but especially a professional network that has reached 1B members and 67M companies. Generative AI has only heightened the interest in wanting to infuse AI into product experiences that must scale, which is why engineering leaders should be thinking about the foundations needed to help their companies reach a new level of impact with AI. Ya Xu (VP of Engineering, Head of Data and AI @ LinkedIn) and Melody Meckfessel (CTO @ Jasper) discuss the three foundational elements every leader should consider - Platforms, Expertise and Culture.
Speakers
As Head of Data & AI, Ya is responsible for AI product and technology at LinkedIn - from research to production. She leads a global team of ~1,000 data scientists and AI engineers whose work is at the core of delivering economic opportunities to LinkedIn’s members and customers. In addition to her work at LinkedIn, Ya has co-authored a book, entitled “Trustworthy Online Controlled Experiments,” and has made to Fortune’s 40 under 40 in tech. She has delivered countless speeches, including a commencement speech to Stanford’s Class of 2019 in Mathematics, Statistics, and Mathematical & Computational Science. Prior to LinkedIn, she worked at Microsoft and received a PhD in Statistical Machine Learning from Stanford University.
Melody Meckfessel is the Chief Technology Officer (CTO) at Jasper.ai, the world’s leading AI marketing platform. In her role, Melody shapes the technical vision of the company, oversees product delivery, and spearheads AI research to develop new capabilities that accelerate business outcomes for enterprise marketers. Before joining Jasper.ai, Melody co-founded and served as CEO of Observable, a data visualization platform that empowers teams to understand their businesses through data. She also spent over a decade at Google as Vice President of Engineering, where she led core infrastructure, Search, and DevOps teams for Google and Google Cloud Platform, impacting millions of users worldwide. Melody is recognized for her hands-on approach to engineering leadership and her expertise in building large-scale distributed systems. Her work is crucial in solving complex problems at scale for enterprise companies. She is passionate about defining the future of work with AI, where humans come first.
