Industry Day Talks

Bio: Dr. Hakim Hacid is the Chief Researcher of the Artificial Intelligence and Digital Science Research Center in Technology Innovation Institute (TII), a cutting-edge UAE-based scientific research center, leading the diverse efforts around LLM’s and Machine Learning, including Falcon LLM and Falcon Mamba. Prior to joining TII, he was an Associate Professor at Zayed University, a customer analytics head at Zain telecom, and a research department head at Bell Labs Research. He is a published author of many research articles in top journals and conferences and holds several industrial patents to his credit. His research specialization includes machine learning, databases, natural language processing, security. He obtained his PhD in Data Mining/Databases and also a double master’s in computer Science (Master by Research & Professional Master) from University of Lyon, France.

10:30 – 10:50: Enhancing SOAP note Scribing for Medical Specialties, Speaker: Eti Rastogi, Industry: DeepScribe

10:50 – 11:10: Fact-checking Multilingual Podcasts, Speaker: Vinay Setty, Industry:  Factiverse AI

11:10 – 11:30: Zero-Shot Image Moderation in Google Ad, Speaker: Enming Luo, Industry:  Google

11:30 – 11:50: Compliant Personalization for Recommended Documents, Speaker: Matthias Braunhofer, Industry: Microsoft

Bio: Johannes Hoffart is the CTO of the AI Unit at SAP, leading a group of technology experts and scientists driving the research and development of business foundation models and knowledge graphs on SAP’s structured data. Before joining SAP in 2021, Johannes has led an AI research group on NLP and Knowledge Graphs at Goldman Sachs and co-founded a spin-off from the Max Planck Institute for Informatics with the goal of enabling businesses to tap into their knowledge hidden in text.

Talk: Expectations towards AI in business applications and processes are higher than ever. The key ingredients of data, compute and attention seem to be available in abundance, so why do we not see Business AI taking off more quickly? There are still many hurdles to infuse AI capabilities into daily usage at scale, most significantly the lack of domain knowledge to quickly realize new use cases and the ability to generalize across different domains. This presentation will give an idea on how to address both issues: Tapping into linked business data for agentic usage as well as training foundation models with inherent understanding of business domains and their data.

14:30 – 15:00: The Future of Generative AI in Retail Product Discovery, Speaker: Darshan Nagaraja, Industry: Target

15:30 – 15:50: Beyond Relevance: A Demand Balancer Model, Speaker: Guilherme Bonaldo, Industry: QuintoAndar

15:50 – 16:10: Efficient Creative Selection in Online Advertising, Speaker: Daiki Katsuragawa, Industry: CyberAgent

16:10 – 16:30: Personalization At Doordash, Speaker: Qilin Qi , Industry: Doordash

16:30 – 16:50: Voice AI for E-commerce, Speaker: Dhruv Agarwal Advancing, Industry: Amazon