TLDR: John Snow Labs has announced the full program and an impressive lineup of keynote speakers for its upcoming Applied AI Summit, scheduled for October 14-16, 2025. This free, virtual conference, formerly known as the NLP Summit, will delve into real-world applications of generative AI, healthcare AI, AI governance, and a broad spectrum of applied artificial intelligence topics.
LEWES, Del. – September 2, 2025 – John Snow Labs, a leading AI company specializing in healthcare solutions, today revealed the detailed program and an array of distinguished keynote speakers for its annual Applied AI Summit. The conference, taking place online from October 14-16, 2025, marks its sixth year and has evolved from the NLP Summit to encompass a wider scope of artificial intelligence applications.
The Applied AI Summit is recognized as the world’s largest virtual gathering for the applied artificial intelligence and Generative AI community. This year’s agenda is meticulously crafted to provide practitioners with insights into real-world use cases, focusing on generative AI, open-source projects, healthcare, and critical aspects of AI governance. Attendees can expect a comprehensive exploration of topics extending beyond traditional Natural Language Processing (NLP), including multimodal AI systems, data engineering platforms, MLOps, and advanced evaluation techniques.
David Talby, CEO of John Snow Labs and Pacific AI, emphasized the summit’s core mission: “The Applied AI Summit has always been about bringing practitioners together to share what really works in AI—applying state-of-the-art research to real-world applications that deliver impact.” He further elaborated on the expanded focus, stating, “This year, we’re broadening the conversation beyond NLP to cover multimodal systems—text, images, speech, code, video, and emerging modalities like genomics—because that’s what’s being built today. Our goal is to provide the global AI community with another channel to learn directly from each other, so we can all innovate faster together.”
The conference boasts over 50 technical sessions, case studies, and deep dives into open-source libraries, model architectures, and design patterns. The impressive roster of keynote speakers includes:
David Talby: CEO at John Snow Labs and Pacific AI.
Yuxiong He: Distinguished AI Engineer at Snowflake and co-lead of the Arctic LLM project, formerly co-founder of Microsoft’s DeepSpeed project.
Chi Wang: Senior Research Scientist at Google DeepMind and creator of AutoGen (AG2) and FLAML.
Nigam Shah: Chief Data Scientist at Stanford Health Care.
Brian Anderson: CEO of the Coalition for Health AI.
Chang She: CEO of LanceDB and original contributor to the pandas library.
Timothy Huerta: CRIO at Ohio State University.
Sarah Gebauer: Senior Consultant at RAND Corporation and founder of Validara Health.
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The summit remains a free, virtual event, dedicated to fostering knowledge sharing from an industry-focused perspective, highlighting practical and effective solutions in applied AI.
