Healthcare digital assistants, digital surgery, and AI-powered drug discovery are no longer things of the future. Join Kimberly Powell, NVIDIA’s vice president of healthcare and life sciences, to explore the new era of healthcare fueled by generative AI and accelerated computing — available anywhere — every …

Cybersecurity remains a top challenge for CEOs. Organizations that use security AI and automation can achieve significant cost savings, so many are integrating generative AI into products and services and using it to inform strategic and operational decisions. Join leading cybersecurity companies to learn …

As modern technology continues to advance at an unprecedented pace, organizations and societies face a delicate balancing act between harnessing the immense opportunities and mitigating the inherent risks. We'll delve into the realm of AI and Generative AI, exploring the challenges and …

Join a distinguished panel of Kaggle Grandmasters and experts in computer vision, large language models (LLMs), and data science competitions as they shed light on best practices in AI and the competitive landscape. Topics include: • LLM optimization: Unlock strategies for faster, accurate …

During this session, we'll introduce a new approach to network security. By utilizing standard sampling protocols integrated into existing NVIDIA platforms and network gateways like firewalls and switches, we gather less than 1% of network traffic. Through advanced AI and machine learning techniques, …

Virtually every organization has heard that they need to establish an MLops practice or at least define an MLops strategy. Because machine learning systems are complex software systems built by cross-functional teams, the ecosystem of tools supporting MLops is rich and diverse. Unfortunately, …

Cybersecurity is a data problem. One of the most effective ways of synthesizing and contextualizing data is via natural language. With the advancement of large language models, we can expand detection and data generation techniques for cybersecurity applications. Organizations are in the …

Gradient boosted trees (GBTs) are a class of machine learning algorithms that combine a decision tree “basic learner” with the ensembling technique called boosting. Decision trees themselves are a very robust algorithm, and even though they're nonlinear, they're easy to train, very transparent, and …

We'll address traditional model limitations and emerging opportunities in analyzing textual data within buy-side firms. Traditionally, these firms have processed large volumes of data from transcripts, broker reports, and regulatory filings using sentence-level aggregation methods. Learn how to leverage auto…

Spark SQL and Spark MLlib are the two most popular components of Apache Spark, used for massively scaling extract-transform-load (ETL) and classical machine learning (ML) training and inference workloads. We'll discuss the RAPIDS Accelerator for Apache Spark ETL and MLlib. We'll demonstrate …

Pandas is flexible, but often slow when processing gigabytes of data. Many frameworks promise higher performance, but they often support only a subset of the Pandas API, require significant code change, and struggle to interact with or accelerate third-party code that you can’t change. RAPIDS cuDF …

Learn some practical strategies for developing large language models (LLMs) in the cloud from start to finish. Our session is tailored for machine learning practitioners — a background in cloud operations isn't necessary. Dive into an efficient workflow that spans from data preparation and model pre-…