The AI Dev Summit is fast approaching, and we are thrilled to announce our official lineup of speakers who will be leading the conversation on sustainable AI development.
Panel: Buy vs. Build - Leading Fast and Sustainable AI Organizations
Our panel will delve into the critical decision-making process in AI solution development. Attendees can expect to gain valuable perspectives on how to lead AI organizations efficiently while ensuring long-term sustainability.
Our panelists, each with a wealth of experience in data science and AI, will explore various facets of this dilemma. They'll discuss the pros and cons of each approach, considering factors such as cost, scalability, speed of deployment, and the ability to innovate. This session is particularly relevant for AI leaders looking to make informed decisions that balance immediate needs with future growth. The panelists will be revealed next week.
The panel takes place in San Francisco, May 29th, 5:30 PM PT
Speakers
Our first speaker is Khatereh Khodavirdi, the VP of Consumer, Global Growth & Enterprise for Data Science, Analytics & AI Products at PayPal. She began her journey at eBay, where she helped establish the first-party advertising department, scaling it to a billion-dollar business. At PayPal, she has held various leadership roles, driving data science and analytics initiatives across multiple domains, including revenue operations, global SMB, and consumer business.
Khatereh oversees a comprehensive data science and ML team focusing on personalization, marketing data science, and consumer insights. In addition to her role at PayPal, she is an instructor at Stanford University and a board member and advisor at StartX.
Meet Philip Denkabe, the Head of Data Science at Chime. Since joining Chime in December of last year, Philip has been pivotal in rapidly building and scaling the data science team. His role encompasses constructing a robust team, devising strategic focus areas, and leading innovative research to uplift Chime’s business. Under his leadership, the team aims to develop several types of data science models spanning generative AI and non-generative AI models.
Philip’s buy versus build decision approach is guided by the need for speed, cost- effectiveness, and leveraging advanced capabilities from major cloud providers. His focus on customization ensures that the data science solutions are uniquely tailored to Chime’s specific business requirements, providing a competitive edge in the financial sector. Philip also emphasizes compliance with data security and model explainability standards while operating within a regulated environment.
Our third speaker is Kartik Khanna, Gusto's Head of Machine Learning & AI. Kartik is a seasoned expert in applied NLP with over 15 years of experience in healthcare, property casualty insurance, and fintech. He has built and led ML teams focused on risk, fraud detection, and data extraction. Currently, he leads Gusto’s Generative AI strategy and initiatives across the enterprise, emphasizing customer-facing applications and operational efficiency.
Kartik Khanna will share his invaluable insights on the strategic considerations of buying versus building evaluation platforms in the rapidly evolving landscape of Generative AI.
Remy is a recognized expert in AI and ML, currently serving as the Head of Growth and Strategic Partnerships at Vectice. He leads the largest community of AI top leaders in the USA and is a sought-after speaker at major AI and ML events. His topics of predilection focus on leadership, managerial and regulatory challenges, specifically in the AI/ML space, and the ever-evolving ecosystem.
Learn more about the event here
