Over the past few years, AI, and its subsets machine learning, deep learning, and NLP among others, have become the norm in business. No longer is AI accessible to only the Fortune 500 companies. Now, a wide range of organizations are utilizing AI for chatbots, fraud detection, medical diagnosis, and much more.
James Zou, PhD | Assistant Professor, Biomedical Data Science, Computer Science, Investigator Faculty Director | Stanford University | Chan-Zuckerberg Initiative | Stanford AI
During this talk, James Zou, PhD, will illustrate the tools and general principles for human-compatible machine learning that have been developed to support computer vision algorithms capable of learning complex phenotypes and morphologies. Zou will examine several examples, including generating spatial transcriptomics from histology images, assessing heart function with video-based AI, and reducing the risk of genome editing.
Serena Yeung, PhD │ Assistant Professor of Biomedical Data Science │ Stanford University
As population demographics shift, the work of clinicians will become increasingly complex and demanding, leading to burnout. During this talk, Serena Yeung, PhD, will address the ways in which AI can be used to support and augment the abilities of clinicians in hospital care, remote care, and more.
Mark Weber │ Applied Research Scientist │ MIT-IBM Watson AI Lab
Recent studies indicate AI is of critical importance for competitive advantage in the business world. However, challenges of flexibility, scalability, and trustworthiness have resulted in AI being employed by only a small subset of companies. In this presentation, Mark Weber will discuss recent advancements in AI scalability, robustness, and fluid intelligence in the business world.
Lore Dirick, PhD │ Director of Data Science Education │ Flatiron School
Survival analysis, a method more commonly used in the biomedical field, has recently gained popularity as a method for analyzing credit risk due to its ability to create time-based predictions. During this presentation, Lore Dirick, PhD, will give an overview of what types of problems can be solved with this method, why it’s useful, and how to use it to analyze credit data.
Rich Dutton │Head of Corporate Engineering │Google
During this talk, Rich Dutton, will discuss how AI techniques can be used to run businesses, using his own team’s efforts at Google as an example. His examples will cover how AI has been used in Support, HR, Facilities Management, and Communications, as well as cover lessons learned, technical considerations, and relevant research areas.
Anitha Kannan, PhD │ Head of Machine Learning │Curai
Lack of access to adequate healthcare, or even basic services, is a problem that plagues up to half of the world’s population. In this talk, Anitha Kannan, PhD, will cover how combining medical experts and online access with advances in AI has the potential to improve healthcare access significantly. Kannan will discuss how her team is building state-of-the-art medical diagnostic models by combining expert systems with deep learning.
Register now to see more AI business talks
If you would like to attend these AI business talks and learn from the experts themselves, you can join us at the Ai x Summit this March. Plus, you’ll save 20% when you register today.